Assessment of the dietary amino acids profiles and the relative biomarkers for amino acids balance in the low-protein diets for broiler chickens

Assessment of the dietary amino acids profiles and the relative biomarkers for amino acids balance in the low-protein diets for broiler chickens | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Assessment of the dietary amino acids profiles and the relative biomarkers for amino acids balance in the low-protein diets for broiler chickens Bin Wang, Xiaodan Zhang, Yongfa Liu, Mingkun Gao, Mi Wang, Yuan Wang, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4459556/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Nov, 2024 Read the published version in Journal of Animal Science and Biotechnology → Version 1 posted 5 You are reading this latest preprint version Abstract Background: The researches on low-protein-level diets (LPD) indicated that even the profiles of essential amino acids (EAA) follow the recommendation for the normal-protein-level diets (NPD), broilers fed low-protein diets failed to achieve comparable productive performance as those fed with normal diets. Therefore, it is imperative to reassess the optimum profile of EAAs in low-protein diets and establish a new ideal pattern for amino acid balance. Furthermore, finding novel sensitive biomarkers for assessing amino acid balance will greatly facilitate the development of amino acids nutrition and application technology. In this study, twelve dietary treatments (Con(+), Con(-), L&A(-), L&A(+), M&C(-), M&C(+), BCAA(-), BCAA(+), Thr(-), Thr(+), Trp(-) and Trp(+)) were established by combining different EAAs including Lysine and Arginine, methionine and Cysteine, branched-chain amino acid (BCAA), threonine and tryptophan in order to observe the growth and development of the broiler chickens fed with low-protein-level diets. Based on biochemical parameters and metabolomics analysis from animals subjected to different treatments, were conducted to identify biomarkers associated with optimal and suboptimal amino acid balances. Results: The growth performance, carcass characteristic, hepatic enzyme activities, serum biochemical parameters, and breast muscle mRNA expression showed significant differences between male and female broilers under different dietary amino acid patterns. Male broilers exhibited higher sensitivity to the adjustment of amino acid patterns compared to female broilers. For the low-protein diet, it was indicated that the dietary concentrations of lysine, arginine, and tryptophan were needed to be increased while not for the methionine, cystine, and threonine concentrations. Further research is needed on each individual BCAA. For metabolomic analysis, Con(+) was selected as a normal diet (NP) while Con(-) represented a low-protein diet (LP). L&A(+) denoted a low-protein amino acid balanced diet (LPAB) and Thr(+) represented a low-protein amino acid imbalance diet (LPAI). Metabolites oxypurinol, pantothenic acid, and D-octopine in the birds were significantly influenced by the different dietary amino acid paterns. Conclusion: Adjusting the profile of amino acids in low-protein diets is required to obtain normal growth performance of broiler chickens as fed with normal-protein-level diets. Oxypurinol, pantothenic acid, and D-octopine were identified as potential sensitive biomarkers for assessing amino acid balance. low-protein diet essential amino acid amino acid balance Metabolomics biomarks Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 1 Introduction The utilization of low-protein diets has been paid significant attention in the broiler industry due to its significant role in nitrogen emission reduction [ 1 – 3 ] . Low-protein diets were formulated to meet amino acid nutritional requirements by incorporating crystalline amino acids [ 4 ] ; However, long-term feeding of low-protein diets in broilers has been demonstrated to result in an increase in fat pad rate (FR) and feed conversion ratio (FCR) [ 5 – 7 ] , nevertheless, Several studies have indicated that broilers fed with varying patterns of amino acids exhibit notable enhancements in body weight (BW) and FCR, as well as significant alterations in carcass characteristics [ 8 – 10 ] . Furthermore, Macelline conducted a study on broilers fed with two different protein content and amino acid patterns diets, and revealed that the optimal growth of broilers necessitates distinct different amino acid patterns depending on the protein content [ 11 ] . Consequently, it proved to be challenging to meet birds' growth requirements through formulating a low-protein diet based solely on the amino acid patterns established on normal-protein level diet. In the process of protein synthesis, animals require the combined participation of essential amino acids (EAA) and nonessential amino acids (NEAA). Numerous studies have demonstrated that animals fed low-protein diets exhibit poor growth performance accompanied by a reduction in blood NEAA concentration [ 12 – 14 ] , indicating that NEAAs or total nitrogen deficiency may limit animal growth [ 15 ] . As the total protein content decreased in a low-protein diet, the body's supply of nitrogen source used for synthesizing NEAAs is also lowered, resulting in the conversion of some EAAs provided in the diet into NEAAs through oxidative decomposition. Therefore, it is imperative to reassess the EAA concentration in low-protein diets to determine an optimal EAA pattern. In the current broilers feeding experiment, the main methods for evaluating dietary amino acids are addition assay and deletion assay, each with its own advantages and disadvantages [ 16 ] . Combining these two methods effectively allows for determining the increasing and decreasing trends in amino acid concentration in the diet by comparing differences in animal traits when amino acids are present or absent. Furthermore, it is important to note that interactions among amino acids of the same type; therefore, any changes in one amino acid's concentration will have a certain impact on another [ 17 – 18 ] . Therefore, the EAAs were categorized into different combinations based on their structural and functional properties. The pattern of each amino acid combination in the diet was adjusted using a combination of addition and deletion methods to evaluate changes in amino acid composition. The indexes commonly used for assessing the dietary amino acid balance include nitrogen balance assay and serum urea nitrogen or uric acid concentration [ 19 ] . These indexes are based on the excretion or deposition of total nitrogen in diets. However, the nitrogen balance assay is a cumbersome procedure with significant variation, which hinders its large-scale application in production. As mentioned earlier, dietary total nitrogen is involved in NEAA synthesis, indicating that serum urea nitrogen or uric acid concentration does not fully reflect amino acid balance extent. Therefore, it is needed to identify biomarkers that accurately reflect amino acid balance. Metabolomics serves as a systematic biological analysis tool in studying amino acid nutrition [ 20 ] ; it intuitively reflects metabolic differences among animals under different conditions and assesses how metabolic balance is affected by amino acid deficiency or excess [ 21 – 22 ] .Subsequently, diets with optimal and suboptimal amino acid balance were selected, followed by metabolomics analysis for identifying biomarkers to assess amino acid balance. 2 Material And Methods 2.1 Animal ethics This experiment was conducted in Zhuozhou experimental Base of China Agricultural University and was approved by the Animal Welfare and Ethics Review Committee of China Agricultural University (AW61504202-1-2). 2.2 Experimental diets The feeding standard of the experimental diet was referred to the Feeding Standard of Chickens (2004) [23] , equal energy and electrolyte balance. With the protein content of 23% in the starter phase, 21% in the grower phase and 20% in the finisher phase as positive control normal diet, and 21% in the starter phase, 19% in the grower phase and 18% in the finisher phase as negative control low-protein diet, dietary composition and nutrient concentration are shown in Table 1. Dietary EAAs were divided into five combinations according to their structure and property: Lysine and Arginine, Methionine and cysteine, branched-chain amino acid (BCAA), threonine and tryptophan. According to the principle of addition and deletion methods, the five amino acid combinations were adjusted up and down by 10% respectively based on the low-protein diet (Table 2). The specific treatments were: the Normal-protein Control diet (Con(+)), the Low-protein Control diet (Con(-)), the Lysine and Arginine restriction diet (L&A(-)), the Lysine and Arginine supplementation diet (L&A(+)), the Methionine and Cysteine restriction diet (M&C(-)), the Methionine and Cysteine supplementation diet (M&C(+)), the BCAA restriction diet (BCAA(-)), the BCAA supplementation diet (BCAA(+)), the Threonine restriction diet (Thr(-)), the Threonine supplementation diet (Thr(+)), the Tryptophan restriction diet (Trp(-)) and the Tryptophan supplementation diet (Trp(+)), detailed dietary composition and nutrient concentration are shown in Table S1-S3. All feeds were mixed evenly in a vertical spiral mixer (DLH-30, Guibao) and granulated by steam at 80℃. All the samples of experimental diets were polished into powder and stored at -20℃to determine the content of crude protein, energy and EAAs concentrations. 2.3 Animals and feeding management A total of 720 0-day-old healthy AA broilers, half male and half female (identified by feather speed) with an initial body weight of 43.5g ± 0.5g, were randomly assigned to 12 diets according to gender with 6 pens per treatment and 10 broilers per pen. The experiment lasted for 40 days and was divided into three phases: the starter phase (0-14 days of age), the grower phase (15-28 days of age) and the finisher phase (29-40 days of age). The broilers were fed in captivity, and always had available feed and water. The illumination period of the poultry house was gradually reduced from 24 hours a day to 20 hours a day. The temperature was gradually lowered from 35 ° C to 22 ° C. The immunization procedure was carried out according to the management manual, and the environment of the poultry house and the health status of the broilers were checked daily. 2.4 Sample collection and analysis The male and female broilers experiments performed the same procedure. The body weight of each pen was measured and the feed consumption was recorded at the beginning and end of each phase, and the number of deaths and body weight of dead broilers were recorded daily to correct the growth performance data. At 40 days of age, the end of the final phase, 4 broilers close to the average body weight were selected for each pen, and the two were used for slaughter. The slaughtering process was in accordance with the Operating Procedure of Livestock and Poultry Slaughtering—Chicken [24] , and the contents of the measurement included dressing rate; half-eviscerated rate; eviscerated rate; fat pad rate; breast rate and thigh rate. The other two were used for sample collection. After the broilers were killed by electric shock, blood was collected from the jugular vein quickly and placed in a coagulant tube. After standing at room temperature for 4 hours, the blood was transferred to a 4℃ centrifuge, centrifuged at 3000R/min for 15min, and the supernatant was stored at -80℃. Liver and chest muscle tissues were collected and placed in a sterile cryopreservation tube, after quenching with liquid nitrogen, they were transferred to -80℃ for preservation. 2.5 Serum biochemical parameter analysis The serum concentrations of total protein (TP), albumin (ALB), globulin (GLB), triglyceride (TG), total cholesterol (TC), blood urea nitrogen (BUN), Uric acid (UA), glucose (GLU), alanine transaminase (ALT) and aspartate aminotransferase (AST), were analyzed using an automatic biochemical analyzer (BK1200, Biobase, Jinan, Shandong). All operating procedures were performed according to the equipment instructions. 2.6 Hepatic enzyme activities analysis The liver tissue was mixed and ground with normal saline, and the supernatant was removed after centrifugation and transferred to 4 ° C for storage. Aspartate aminotransferase (AST), alanine aminotransferase (ALT), Acetyl CoA carboxylase (ACC), Fatty acid synthase (FAS), Glucose-6-phosphatase (G6PC), Pyruvate carboxylase (PC), HMG CoA Reductase (HMGR) and Xanthine oxidase (XOD) were measured using commercial reagent kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). All procedures were performed according to the manufacturer's instructions. 2.7 Real-Time Quantitative PCR RNA extraction, reverse transcription, and real-time PCR were performed as described by Yang et al [25] . Total RNA was extracted from the breast muscle tissue using RNAiso Plus reagent (Takara Biomedical Technology Company, Beijing, China). After the purity and concentration of RNA were determined by a nucleic acid analyzer, cDNA was synthesized using a reverse transcription kit, diluted, and analyzed by qRT-PCR. The resulting mRNA expression was normalized to GAPDH, and the remaining relative mRNA expressions were calculated on this basis. Primers used for GAPDH, 4EBP1, S6K1, MAFbx, and MuRF1 were designed and commercially synthesized according to sequences in GenBank (Table 3) (Sangon Biotechnology, Shanghai, China). 2.8 Metabolite extraction and detection At low temperature, 25mg sample was weighed into an EP tube, and 500μL extraction solution (methanol: acetonitrile: water = 2:2:1) (V/V) containing isotope labeled internal standard mixture was added. The mixture was vortexed and mixed for 30s. The homogenate beads were added and homogenized in a homogenizer (35 HZ, 4min), then transferred to an ice water bath and sonicated for 5min, and repeated three times. The homogenate was left at -40 ° C for 1h before being transferred to a centrifuge, and centrifuged at 12000rpm for 15min at 4 ℃. The supernatant was taken for examination. Chromatographic separation of the target compounds was performed using an ultra-high performance liquid chromatograph with a chromatographic column (Waters ACQUITY UPLC BEH Amide (2.1 mm × 50 mm, 1.7 μm)). Liquid chromatography phase A was aqueous phase (25mmol/L ammonium acetate and 25mmol/L ammonia water), phase B was acetonitrile. Sample plate temperature: 4℃. Injection volume: 2μL. Primary and secondary mass spectrometry data acquisition was performed under the control of the Orbitrap Exploris 120 mass spectrometer control software (Xcalibur, version: 4.4, Thermo). 2.9 Statistical Analysis Each pen was considered as one experimental unit. One-way ANOVA analysis was used for data analysis by SPSS 27(IBM), results are presented as means. P <0.05 was considered a significant difference, 0.05< P <0.1 indicated a trend of difference. To clarify the adjustment trend of different EAA combinations, growth performance and carcass characteristic were only analyzed between the same amino acid combinations. Hepatic enzyme activities and Serum biochemical parameters data were graphically plotted by Origin 2022 (OriginLab). The raw metabolome data were converted into mzXML format by ProteoWizard software, and then metabolites were identified and visualized by R language. The database was BiotreeDB (V3.0). Principal component analysis (PCA) was used to outline the population structure, and orthogonal partial least squares discriminant analysis (OPLS-DA) was used to further analyze the differences between treatments. The goodness of fit (R 2 ) and the goodness of prediction (Q 2 ) are used to represent the cross-validation results, and the closer they are to 1, the more reliable the model is. T-test and volcano plot were used for data analysis, metabolites with VIP>1, Fold change>2 or <0.5 and P <0.05 were considered differential metabolites. Venn plot was used to show the shared differential metabolites among the four treatments, and the potential as markers was determined based on the receiver operating characteristic curve (ROC), with the area under the curve (AUC) closer to 1 indicating greater potential. In addition, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gallus gallus (chicken) metabolome database [26] were used to enrichment metabolic pathways related to differential metabolites, higher percent of metabolites and rich factors indicated more significant enrichment of the pathway. 3 Results 3.1 Growth performance 3.1.1 Lysine and Arginine Allowance In male broilers, significant differences across the four treatment groups were observed in body weight (BW), average daily feed intake (ADFI), average daily gain (ADG), and FCR throughout the various growth phases. The Lysine and Arginine supplementation group demonstrated the best overall performance. Specifically, this group had the highest BW during the grower and finisher phases, albeit slightly lower than the Low-protein Control group during the starter phase; ADFI was lower than the Low-protein Control group in the early phases but peaked in the finisher phase. The Lysine and Arginine supplementation group also consistently had the highest ADG, with the exception of the starter phase. Conversely, the Normal-protein Control group exhibited the lowest FCR, except during the finisher phase. For female broilers, the pattern of significant differences in BW, ADFI, ADG, and FCR among the treatments was similar, though the differences in the grower phase were less pronounced than in males, yet discernible trends were present. Throughout all phases, the Lysine and Arginine supplementation group outperformed the other treatments in terms of BW, ADFI, and ADG. Meanwhile, the Normal-protein Control group consistently had the lowest FCR, with the exception of the finisher phase. 3.1.2 Methionine and Cysteine Allowance During the starter phase, significant differences were noted in ADFI among the four treatments for male broilers. Similarly, at the grower phase, a notable divergence was observed in FCR. Trends were also discernible in BW and ADG during the starter phase. However, no significant variations were detected in the remaining indicators. The Normal-protein Control group had the lowest BW, ADFI and ADG at the starter phase and FCR at the grower phase. The female broilers had the same performance as the male broilers, but the Methionine and Cysteine restriction group had the lowest FCR at the starter phase and the highest ADFI at the finisher phase. 3.1.3 BCAA Allowance There were significant differences in BW, ADFI, ADG and FCR among the four treatments at different phases in male and female broilers, but no significant differences between the BCAA supplementation group and the BCAA restriction group at each phase. Broilers that were fed diets with adjusted BCAA concentrations exhibited poorer performance compared to those in the control groups. 3.1.4 Threonine Allowance There were significant differences in BW, ADFI, ADG and FCR among the four treatments at different phases in male and female broilers, with the Threonine supplementation group had the worst performance. In addition, broilers that were fed diets with adjusted threonine concentrations exhibited poorer performance compared to those in the control groups, but Threonine restriction group was numerically slightly better than Threonine supplementation group. 3.1.5 Tryptophan Allowance There were significant differences among the four treatments in all the indexes at the starter and grower phases and in BW at the finisher phase in male broilers. The Tryptophan restriction group had the worst performance at the whole life phase. There was no significant difference between the Tryptophan supplementation group and the Low-protein Control group, but the Tryptophan supplementation group showed an upward trend in the finisher phase. There were differences among the four treatments in FCR at different phases, and BW, ADFI at starter phase in female broilers. With the exception of the Normal-protein Control group, the Tryptophan supplementation group had the lowest FCR at all phases. In general, the growth performance of male broilers and female broilers was similar, but the differences of females were less significant. 3.2 Carcass characteristic Male and female broilers have the same performances in carcass characteristic and are therefore described uniformly in the following paragraphs. 3.2.1 Lysine and Arginine Allowance There were significant differences in all indexes except thigh rate (TR) among the four treatments. The Lysine and Arginine restriction group was the lowest in dressing rate (DR), half-eviscerated rate (HR) and eviscerated rate (ER), and the highest in fat pad rate (FR). However, the Lysine and Arginine supplementation group was significantly higher than the Low-protein Control group in breast rate (BR). 3.2.2 Methionine and Cysteine Allowance There were significant differences in FR and BR among the four treatments. The Methionine and Cysteine restriction group and the Methionine and Cysteine supplementation group were both higher than the Normal-protein Control group and the Low-protein Control group in FR, while BR were not different from the Low-protein Control group. 3.2.3 BCAA Allowance There were significant differences among the four treatments in ER, FR, and BR. Both the BCAA restriction group and the BCAA supplementation group were lower than the Low-protein Control group and the Normal-protein Control group in ER, and higher in FR, but no difference in BR compared with the Low-protein Control group. 3.2.4 Threonine Allowance There were significant differences in FR and BR among the four treatments, with both the Threonine restriction group and the Threonine supplementation group having significantly higher FR and lower BR than the other two groups. 3.2.5 Tryptophan Allowance There were significant differences among the four treatments in the ER, FR, and BR, and a trend in the TR. Both the Tryptophan restriction group and the Tryptophan supplementation group had a lower ER than the Normal-protein Control group and the Low-protein Control group, and there was a significant difference in TR between them. In addition, the Tryptophan restriction group had the highest FR. 3.3 Hepatic enzyme activities and Serum biochemical parameters Hepatic enzyme activities and Serum biochemical parameters of broilers were determined according to the amino acid metabolic pathways (Fig.1). There were significant differences in hepatic enzyme activities and serum biochemical parameters among all treatments in male broilers. In the transamination pathway, the Threonine restriction group had the highest hepatic enzyme activities and serum metabolites, and the Lysine and Arginine supplementation group had the lowest (Fig.2-A). In the fat synthesis pathway, the Tryptophan supplementation group was the highest and the Tryptophan restriction group was the lowest (Fig.2-B). In the gluconeogenesis pathway, the Methionine and Cysteine supplementation group was the highest and the Methionine and Cysteine restriction group was the lowest (Fig.2-C). In the Cholesterol synthesis pathway, the Tryptophan supplementation group was the highest and the BCAA restriction group was the lowest (Fig.2-D). In the Uric acid excretion pathway, the Threonine supplementation group was the highest and the Normal-protein Control group was the lowest (Fig.2-E). In the case of female broilers, the variations in hepatic enzyme activities among the different treatment groups were fundamentally similar to those observed in males. In the transamination pathway, the Threonine supplementation group had the highest hepatic enzyme activities and serum metabolites, and the BCAA restriction group had the lowest (Fig.3-A). In the fat synthesis pathway, the Tryptophan supplementation group was the highest and the Tryptophan restriction group was the lowest (Fig.3-B). In the gluconeogenesis pathway, the Methionine and Cysteine supplementation group was the highest and the Lysine and Arginine supplementation group was the lowest (Fig.3-C). In the Cholesterol synthesis pathway, the Tryptophan supplementation group was the highest and the Tryptophan restriction group was the lowest (Fig.3-D). In the Uric acid excretion pathway, the Threonine supplementation group was the highest and the Lysine and Arginine supplementation group was the lowest (Fig.3-E). 3.4 Expressions of mRNA in breast muscle There were significant differences in S6K1 and MAFBx expressions and no significant difference in other indexes in male broilers (Fig.4-A-D) and female broilers (Fig.5-A-D). The Threonine supplementation group was significantly lower than the other treatments, and the Normal-protein Control group and the Lysine and Arginine supplementation group were the highest In S6K1. In MAFBx, the Threonine supplementation group was significantly higher than the other treatments, and the Lysine and Arginine supplementation group was the lowest. 3.5 Hepatic metabolomics analysis Based on screening of data in 3.3 and 3.4, as well as the sex-specific sensitivity of animals to amino acid balance. Male broilers were selected as the model. The Normal-protein Control group served as normal protein diet (NP), the Low-protein Control group was used for low-protein diet (LP), the Lysine and Arginine supplementation group was utilized for low-protein amino acid balanced diet (LPAB), and the Threonine supplementation group was employed for low-protein amino acid imbalanced diet (LPAI). These diets were subjected to Untargeted metabolomics analysis in order to Identify the biomarkers of amino acid balance. 3.5.1 Principal component analysis The PCA score plots revealed a significant separation between NP and LP, with PC1 and PC2 accounting for 69.6% and 8.8% of the sample variation, respectively (Fig.6-A). Similarly, there was a notable distinction between LPAB and LPAI as shown in the PCA score plots where PC1 and PC2 explained 35.9% and 19.5% of the sample variation, respectively (Fig.6-B). 3.5.2 Orthogonal partial least-squares discriminant analysis The OPLS-DA score plot demonstrated a significant separation between NP and LP, with the abscissa and the ordinate explaining intra-group differences, accounting for 40.4% and 17.2% of sample variation, respectively (Fig.6-C). A permutation test (n=100) was conducted to validate the OPLS-DA model. The blue bands depict the original samples, where a more pronounced distribution towards the right indicates a more substantial data separation between groups. R 2 Y(cum) and Q 2 (cum) values were determined as 0.988 and 0.823, respectively (Fig.6-E), confirming the reliability of these results. In the same way, the OPLS-DA score plot exhibited a significant separation between LPAB and LPAI, with inter-group differences on the abscissa and the ordinate accounting for 21% and 21.6% of sample variation, respectively (Fig.6-D). R2Y(cum) value was calculated as 0.994 while Q2(cum) value reached 0.857 (Fig.6-F), indicating high reliability in these results. 3.5.3 Identification of significant differential metabolites Volcano plots revealed the detection of 2528 up-regulated metabolites and 3150 down-regulated metabolites between NP and LP, resulting in the identification of 431 differential metabolites (Fig.7-A). Additionally, a total of 932 up-regulated metabolites and 1872 down-regulated metabolites were detected between LPAB and LPAI based on the volcano plot analysis, leading to the final identification of 248 differential metabolites (Fig.7-B). Overall, a total of 167 differential metabolites were identified among the four treatments (Fig.7-C). 3.5.4 Acquisition of specific potential biomarkers To identify relevant differential metabolites among more than 100 metabolites, the following criteria were employed: P 1 and Fold Change>2 or <0.5. A total of 43 metabolites met these criteria (Table 7). In broiler production, certain technical procedures such as handling and blood sampling can induce stress in animals and potentially interfere with in vivo biochemical indexes. Therefore, based on the identified differential metabolites, we selected those that exhibited consistent changes in direction and quantitative differences value (QD-value)>1. Three metabolites meeting these criteria were Oxypurinol, Pantothenic acid, and D-octopine (Table 8). The potential of metabolites as biomarkers was evaluated through the multivariate exploratory ROC curve analysis. Boxplots demonstrated significant differences in these three metabolites among the four treatments (Fig.9-A-C), and subsequent ROC analysis revealed that their AUCs were all equal to 1 (Fig.9-D-F), indicating their promising potential as biomarkers. Consequently, Oxypurinol, Pantothenic acid, and D-octopine are considered viable candidates for amino acid balance biomarkers. 3.5.5 Metabolic pathway analysis The pathway analysis revealed the precise impact of amino acid balance alteration on the relevant metabolic network, and the extent of enrichment in metabolic pathways could be quantified using rich factor (RF) and percent. Percent is calculated by dividing the number of differential metabolites in a pathway by the total number of differential metabolites in the sample. RF represents the ratio of differential metabolites to all metabolites within the same pathway (Fig.8). The significance level was set at P 0.1 and Percent>5, there were a total of 4 metabolic pathways identified: Nucleotide metabolism, Pantothenate and CoA biosynthesis, Fatty acid biosynthesis, and Glutathione metabolism (Table 9). These pathways are considered to be associated with amino acid balance and can serve as potential targets for future studies on amino acid balance. 4 Discussion After adjusting the patterns of EAA combinations in low-protein diets, significant differences were observed in various broiler performance indexes, indicating the effectiveness of improving animal performance through EAA patterns adjustments. It is noteworthy that regardless of gender, broilers fed the Low-protein Control diet exhibited significantly poorer growth performance compared to those fed the Normal-protein Control diet. Surprisingly, during the starter phase, a slight advantage was observed for broilers on the Low-protein Control group. This could be attributed to the presence of yolk sac in chicks and their relatively less vigorous requirement for exogenous nutrients during initial growth phases [27] . The high protein content in the Normal-protein Control group provided adequate protein nutrition with minimal feed intake; however, it also resulted in lower energy intake which negatively impacted growth performance during this phase. Once fully absorbed, a rapid improvement in growth performance was evident for broilers on the Normal-protein Control group during subsequent phases. In terms of carcass characteristics, broilers fed the Normal-protein Control diet displayed higher breast rate and lower fat pad rate, suggesting a balanced amino acid profile where sufficient amino acids were utilized for protein synthesis rather than oxidative decomposition leading to fat accumulation within their bodies. Although not significantly different from the Normal-protein Control group, broilers on the Low-protein Control group exhibited reduced breast rate but comparable fat pad rate levels. These results indicate that while there was still balance in amino acid ratios within the Low-protein Control group, insufficient amounts of amino acids were available for optimal protein synthesis possibly due to lower total nitrogen content [15] . The growth performance and breast rate of broilers fed the Lysine and Arginine supplementation dite were significantly improved in diets with adjusted lysine and arginine combinations ratio, for both male and female broilers. It should be noted that there was a decrease in dressing rate, half-eviscerated rate, and eviscerated rate after reducing the dietary concentration of lysine and arginine, which was particularly significant in males. Lysine is the second limiting amino acid in broilers, playing an important role solely in protein synthesis without involvement in various complex physiological functions [28] . After supplementing lysine to the low-protein diets, besides meeting the requirement for protein synthesis along with other amino acids, excess lysine is oxidatively decomposed within the body to form substrates for NEAAs synthesis [29] . This leads to increased concentrations of available amino acids and enhanced protein synthesis within the body. The remaining substances not involved in synthesis enter the TCA cycle and eventually contribute to fat deposition, thereby explaining well why breast rate increases simultaneously with fat retention when supplemented with lysine and arginine. When dietary lysine concentration is low, priority is given by the body to allocate amino acids towards synthesizing proteins essential for vital organs' functioning as well as feather development [30] . Consequently, this results in decreased overall meat yield from broilers i.e., reduced dressing rate, half-eviscerated rate, and eviscerated rate. Therefore, it is recommended to increase levels of lysine and arginine supplementation within low-protein diets. The reduction of methionine and cysteine concentration in the diet resulted in an improvement in FCR for both male and female subjects, as well as a numerical increase in body weight. However, it also led to a significant increase in fat pad rate, while breast rate remained lower than that of the Normal-protein Control group. Methionine's role in poultry has been extensively studied [31-32] . Apart from its involvement in protein synthesis, methionine can also enhance overall body metabolism. When dietary methionine supply is reduced, animals increase their feed intake to meet normal growth demands, thereby improving amino acid availability within the body and subsequently reducing FCR while increasing breast rate. Methionine plays a regulatory role in lipid metabolism as well. Insufficient methionine affects CPT1-mediated fatty acid entry into mitochondria, leading to excessive fat deposition [33] . Conversely, excessive methionine levels can result in hyperhomocysteinemia among broilers, impairing lipid metabolic processes [34] . This explains why there is a significant increase in fat pad rate observed regardless of whether methionine concentration is upregulated or downregulated among broilers. Therefore, when formulating low-protein diets, it is important to avoid large variations in the concentrations of both methionine and cysteine. Surprisingly, the growth performance and carcass characteristic of both male and female subjects fed diets with adjusted ratios of BCAA combinations were significantly inferior to those in the control groups. It is widely acknowledged that BCAAs exhibit antagonistic effects on each other [35] . However, this study found that adjusting the dietary concentration based on the original BCAA ratio as a whole did not prevent the occurrence of these antagonistic effects. This suggests that the interaction between BCAAs is likely influenced by their absolute concentrations. When adjusting the ratio of BCAA combinations, it is important to consider the weightage of individual members within the combination. Furthermore, increasing amino acid concentration generally according to current balance patterns when exploring amino acid balance patterns in low-protein diets is not advisable. Additionally, broilers fed with a diet containing higher concentrations of BCAAs (the BCAA supplementation group) exhibited worse performance compared to those fed with lower concentrations (the BCAA restriction group), indicating a more pronounced antagonistic effect with increased BCAA concentration. The increase in grain feed proportion in low-protein diets also leads to an increase in leucine concentration [36] . Leucine is known as one of the most antagonistic amino acids within BCAAs [37] , while valine is currently considered as poultry's fourth limiting amino acid [38] . Therefore, future research on BCAAs should take into account the relationship between leucine and valine to minimize any negative impact caused by antagonistic effects. The growth performance and carcass characteristics are negatively affected by the ratio of dietary threonine after adjustment, with broilers fed a the Threonine supplementation diet exhibiting the poorest outcomes among all treatments, indicating an extremely unbalanced amino acid patterns in this diet. Threonine plays a crucial role in maintaining amino acid balance in the diet and can partially alleviate the growth inhibition caused by excessive lysine, methionine, and tryptophan [39] . This suggests that threonine may have an inhibitory effect on the utilization of other amino acids. There have been previous reports on the adverse effects of excessive threonine [40] . In future studies, it is important to meet the minimum requirement for threonine without additional supplementation to maintain optimal amino acid balance in the diet. Tryptophan, despite its low concentration in diets, cannot be disregarded for its physiological regulatory effect on broilers. Supplementation of tryptophan in low-protein diets significantly improves the growth performance and carcass characteristics of both male and female broilers. It is worth noting that the average daily feed intake decreases, which may be attributed to the presence of 5-hydroxy-tryptamine (5-HT), a metabolite of tryptophan. 5-HT regulates poultry feeding behavior and excessive levels can induce satiety and reduce feed intake [41] . Tryptophan stimulates protein synthesis by promoting insulin secretion [42] , thereby increasing meat yield. This study reveals that adjusting the tryptophan ratio has a significant impact on thigh yield, particularly in males, while having minimal effect on breast yield. Further exploration is required to understand this preference better. Moreover, there was no significant increase in fat pad rate with high concentrations of tryptophan, indicating that supplementing low-protein diets with tryptophan benefits amino acid balance. However, addressing how to maintain animal feed intake without reduction at high concentrations of tryptophan should be prioritized for future research. It is imperative to assess the diet amino acid balance promptly and accurately to establish low-protein diets amino acid balance pattern, while elucidating the adjustment trends of each EAA in low-protein diets. Therefore, we firstly described the entire pathway of amino acid metabolism (Fig.1) and determine different treatments at the transcriptional, protein, and metabolic levels to get the optimal and worst amino acid balance treatment for subsequent screening of amino acid balance biomarkers. Based on the results of hepatic enzyme activities and serum metabolites in the amino acid metabolism pathway, it is evident that the Threonine supplementation group was the highest in both transamination and urinary nitrogen excretion pathways. When there is an imbalance of amino acids in diet, numbers of amino acids are oxidized and decomposed due to their inability to participate timely in protein synthesis, leading to increased enzyme activities and metabolite content in amino acid metabolism pathways [43] . The transamination pathway represents the initiation of amino acid metabolism and decomposition while gluconeogenesis pathway, fat synthesis pathway and cholesterol synthesis pathway represent the fate of decomposed amino acids within the body, urinary nitrogen excretion pathway indicates degree of waste from these processes. In the Threonine supplementation group, excessive threonine undergoes oxidation and decomposition within body before being converted into glycine [44] which directly participates in uric acid synthesis [45] resulting in excess nitrogen not retained as functional NEAA. This may be reason for highest nitrogen excretion observed within this treatment. Therefore, from perspective of protein balance and metabolism, the Threonine supplementation group appears most imbalanced while the Lysine and Arginine supplementation group displays lower enzyme activities and metabolite content across various pathways indicating greater balance at these two levels. In addition, it is also observed that the Tryptophan supplementation group exhibited the highest content in both the fat synthesis pathway and cholesterol synthesis pathway. Tryptophan has been demonstrated to reduce blood glucose levels [46] and promote insulin secretion [47] . Insulin, in turn, regulates liver metabolism by enhancing fat synthesis, inhibiting fatty acid oxidation, and promoting triglyceride esterification [48] . Consequently, it is anticipated that the Tryptophan supplementation group would exhibit elevated levels of triglycerides and cholesterol. Based on expressions of mRNA related to protein synthesis in breast muscle, it was noted that the Threonine supplementation group displayed the lowest expressions for protein synthesis while exhibiting the highest expressions for degradation. Conversely, this trend was reversed in the Lysine and Arginine supplementation group, indicating an imbalance at a transcriptional level within the Threonine supplementation group compared to a more balanced state within the Lysine and Arginine supplementation group. Based on the results obtained from three levels, the Normal-protein Control group was ultimately designated as the normal control diet (NP), the Low-protein Control group as the low-protein control diet (LP), the Lysine and Arginine supplementation group as the low-protein amino acid balance diet (LPAB), and the Threonine supplementation group as the low-protein amino acid imbalance diet (LPAI) for metabolomics analysis aimed at exploring biomarkers of amino acid balance. Serum is a commonly utilized sample for assessing the physiological state of animals. However, serum biochemical indicators are often influenced by animal activities such as stress, leading to the detection of metabolites unrelated to the experiment and compromising study accuracy when exploring metabolism and identifying biomarkers. Considering that the liver serves as the primary site for amino acid metabolism, where metabolites are synthesized and transferred into the bloodstream through the portal vein, investigating changes in amino acid metabolism in liver tissue provides a more representative approach. Therefore, liver tissue was selected for analysis in this study. Following metabolite identification and statistical analysis, three metabolites were eventually identified as biomarkers of amino acid balance: Oxypurinol, Pantothenic acid, and D-Octopine. Their association with amino acid metabolism has been depicted in Figure 10. Oxypurinol is an active metabolite and an analogue of xanthine that is formed through oxidation and decomposition of its precursor substance allopurinol [49] . Allopurinol resembles hypoxanthine and competes with it for xanthine oxidase (XOD) during uric acid formation. It is commonly used as a medication for gout [50] . The primary metabolic mechanism involves XOD-mediated conversion of allopurinol l to oxypurinol by rotation at its enzyme active site, leading to reduction of molybdenum Mo (VI) active center to Mo (IV), thereby inhibiting uric acid production [51] . In this study, it was observed that oxypurinol content significantly increased in both amino acid balance treatment (NP and LPAB), despite no exogenous supplementation of allopurinol. This can be attributed to only a small amount of surplus amino acids enter catabolic processing under conditions of amino acid balance, resulting in insufficient NEAAs such as aspartic acid, glutamine, and glycine serving as raw materials for de novo purine synthesis [52] . Consequently, there is a decrease in hypoxanthine and xanthine content, original substrates for XOD, which enhances competitiveness of allopurinol leading to increased generation of oxypurinol. Additionally, we observed an increase in the concentration of xanthine (Table 8), this finding is not contradictory. The absolute utilization of XOD by allopurinol inhibits the timely excretion of initial xanthine as uric acid. However, it cannot be converted back to hypoxanthine and thus accumulates in body in significant quantities. Notably, oxypurinol exhibited the highest relative abundance among all metabolites and displayed substantial variation across different treatments. Importantly, it demonstrated a close association with end products of amino acid metabolism. Therefore, we propose that oxypurinol serves as the most representative biomarker for assessing amino acid balance. The homeostatic regulation of pantothenic acid, vitamin B5, in the body involves its interaction with pantothenic acid and coenzyme A [53] . In the presence of a pantothenate deficiency, coenzyme A is dephosphorylated by alkaline phosphatase to form dephospho-CoA, which then undergoes hydrolysis of its 5'-phosphodiester bond to yield phosphopantetheine. The subsequent step involves the synthesis of pantetheine under the catalysis of alkaline phosphatase, which is ultimately converted into pantothenic acid [54] . In the absence of coenzyme A, pantothenic acid is phosphorylated to 4'-phosphopantothenate by pantothenate-kinase and subsequently condenses with cysteine. Decarboxylase removes the carboxy group from this compound to generate dephosphocoenzym A, which eventually leads to the formation of coenzyme A [55] . The amino acid balanced diets (NP and LPAB), were anticipated to exhibit a reduced pantothenic acid content in this study. The ultimate goal of amino acid metabolism is to produce coenzyme A for entry into the tricarboxylic acid cycle and participation in other substance synthesis processes [56] . As mentioned earlier, when amino acids are balanced, fewer amino acids participate in catabolic processes resulting in decreased levels of their decomposition products such as coenzyme A (Table 8). Under homeostatic regulation effects, synthesis reactions favor conversion towards increased levels of coenzyme A while leading to a decrease in overall pantothenic acid content. The energy metabolite D-octopine, derived from the combination of Octopine dehydrogenase (OcDH) and NADH [57] , undergoes a series of metabolic reactions: Firstly, NADH binds to domain 1 of OcDH to form a complex; subsequently, arginine binds to domain 2 of OcDH resulting in the formation of an OCDH-NADH-L-arginine complex; finally, pyruvate binds to the last binding site within the complex and promptly condenses into D-octopine while releasing H + and NAD + [58-59] . In an amino acid balanced diet where there is an abundance of raw materials for protein synthesis, both the quantity and rate of protein synthesis are increased along with higher energy requirements. Consequently, a significant elevation in D-octopine content was observed in NP and LPAB. During amino acid utilization process, ensuring coordinated energy supply becomes crucially important for animals' growth [60] . This is particularly true when animals are on an amino acid balanced diet as rapid protein synthesis may lead to insufficient energy levels causing non-participating amino acids to enter catabolic processes, thereby affecting evaluation indexes' values. Such circumstances can result in erroneous assessment regarding dietary amino acid balance patterns. Therefore, it would be meaningful to conduct experiments on the dietary amino acid balance pattern while ensuring adequate energy supply for the animals. The aforementioned three metabolites were not commonly observed in the investigation of dietary amino acids. Therefore, we specifically selected the common metabolites uric acid and urea from the metabolomics data for comparative analysis (Table 10). However, it was found that these two metabolites exhibited relatively low evaluation scores, and their differences were insignificant when considering minor variations in the balance degree of dietary amino acids. In especial the urea content within the LPAB and LPAI groups. These findings suggest that previous indicators used to assess amino acid balance lack sufficient sensitivity, especially in studies with minimal differences, which may lead to erroneous evaluations. Oxypurinol is an upstream metabolite of uric acid, while pantothenic acid acts upstream of tricarboxylic acid cycle products such as cholesterol and triglycerides. On the other hand, D-octopine plays a central role in energy metabolism. They are all highly sensitive to amino acid balance and does not disrupt normal amino acid metabolism. Furthermore, based on the results of metabolic pathway enrichment analysis, oxypurinol corresponds to nucleotide metabolism, whereas pantothenate corresponds to pantothenate and CoA biosynthesis. Therefore, these three metabolites serve as reliable indicators for assessing amino acid balance. In the subsequent amino acid balance study, the evaluation can be based on the direction of metabolite changes provided in Table 8. Specifically, higher levels of oxypurinol and D-octopine, along with lower levels of pantothenic acid, indicate a more balanced composition of dietary amino acids within this group. 5 Conclusion In conclusion, adjusting the patterns of EAAs in low-protein diets is required to enhance amino acid balance and improve broiler growth performance. Metabolomics analysis identified a total of 43 metabolites and 4 metabolic pathways associated with amino acid balance, including hepatic oxypurinol, pantothenic acid, and D-octopine as potential biomarkers for assessing dietary amino acid balance. By detecting these biomarkers, it becomes possible to evaluate the degree of dietary amino acid balance precisely. This study provides valuable insights for further exploration of the amino acid balance pattern in low-protein diets for broilers. Abbreviations ACC Acetyl coA carboxylase ADFI Average daily feed intake ADG Average daily gain ALB Albumin ALT Alanine transaminase AST Aspartate aminotransferase AUC Area under the curve BCAA Branched-chain amino acid BCAA(-) The BCAA restriction diet BCAA(+) The BCAA supplementation diet BR Breast rate BUN Blood urea nitrogen BW Body weight Con(-) The Low-protein Control diet Con(+) The Normal-protein Control diet DR Dressing rate EAA Essential amino acids ER Eviscerated rate FAS Fatty acid synthase FCR Feed conversion ratio FR Fat pad rate G6PC Glucose-6-phosphatase GLB Globulin GLU Glucose HMGR HMG CoA Reductase HR Half-eviscerated rate KEGG Kyoto Encyclopedia of Genes and Genomes L&A(-) The Lysine and Arginine restriction diet L&A(+) The Lysine and Arginine supplementation diet LP Low-protein diet LPAB Low-protein amino acid balanced diet LPAI Low-protein amino acid imbalance diet LPD Low-protein-level diets M&C(-) The Methionine and Cysteine restriction diet M&C(+) The Methionine and Cysteine supplementation diet NEAA Nonessential amino acid NP Normal diet NPD Normal-protein-level diets OcDH Octopine dehydrogenase OPLS-DA Orthogonal partial least squares discriminant analysis PC Pyruvate carboxylase PCA Principal component analysis ROC Receiver operating characteristic curve TC Total cholesterol TG Triglyceride Thr(-) The Threonine restriction diet Thr(+) The Threonine supplementation diet TP Total protein TR Thigh rate Trp(-) The Tryptophan restriction diet Trp(+) The Tryptophan supplementation diet UA Uric acid XOD Xanthine oxidase Declarations Ethics approval The study was approved by the Animal Welfare and Ethics Review Committee of China Agricultural University (AW61504202-1-2). Data and model availability statement The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material. Author contributions BW: data analysis and manuscript writing. XZ, YL and MG: performed experiments and collected data. MW, YW and XW: gave guidance. YG: study design, financial support and manuscript revision. All authors have read and agreed to the published version of the manuscript. Declaration of interest None. Acknowledgments None. Financial support statement This work was supported by Shenyang Governmental Science and Technology Program (Project No. 22-316-2-02) and China Agriculture Research System Program (Project No. CARS-41-G04). References De Cesare A, Faria DVI, Sala C, Sirri F, Astolfi A, Castellani G, et al. Effect of a low protein diet on chicken ceca microbiome and productive performances. 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Tables Table 1 Ingredients and nutrient composition of the experimental diets (as-fed basis) Item Starter phase:0~14d Grower phase:15~28d Finisher phase:29~42d NP 1 LP 1 NP LP NP LP Corn [level 2, 7.8%], % 53.51 57.22 57.75 66.34 62.02 65.26 Soybean meal [level 3, 44%], % 29.94 28.37 29.43 19.67 22.07 21.15 Corn gluten meal [61%], % 7.99 4.18 5.07 4.51 8.11 2.75 Calcium bicarbonate (Anhydrous) , % 1.53 1.69 1.43 1.50 1.21 1.28 Soy oil, % 4.18 4.88 3.97 3.30 4.24 5.44 Mineral meal, % 1.39 1.33 1.21 1.24 1.20 1.16 Salt, % 0.33 0.31 0.31 0.24 0.28 0.27 Choline chloride (50%), % 0.23 0.23 0.22 0.26 0.20 0.21 Mineral premix 2 , % 0.20 0.20 0.20 0.20 0.20 0.20 DL- Methionine, % 0.13 0.18 0.13 0.17 0.06 0.14 L-LysineHCl, % 0.18 0.23 0.11 0.33 0.18 0.24 Vitamin premix 3 , % 0.02 0.02 0.02 0.02 0.02 0.02 L-Cysteine, % 0.01 0.03 0.02 0.06 0.01 0.04 L- Phenylalanine, % 0.00 0.04 0.01 0.21 0.00 0.33 L- Threonine, % 0.00 0.04 0.00 0.13 0.00 0.10 L- Arginine, % 0.13 0.21 0.01 0.29 0.01 0.11 L- Histidine, % 0.00 0.00 0.01 0.10 0.01 0.07 L- Isoleucine, % 0.00 0.00 0.00 0.16 0.00 0.11 L- Leucine, % 0.00 0.31 0.00 0.27 0.00 0.51 L- Tryptophan, % 0.06 0.03 0.00 0.05 0.01 0.01 L- Valine, % 0.00 0.02 0.00 0.17 0.01 0.14 Glycine, % 0.00 0.19 0.00 0.30 0.00 0.24 Phytase, % 0.02 0.02 0.02 0.02 0.02 0.02 Potassium carbonate, % 0.14 0.19 0.01 0.26 0.01 0.05 sodium bicarbonate, % 0.03 0.06 0.09 0.20 0.13 0.16 Nutrient concentration (Analyzed composition) Dry matter, % 89.30 89.23 89.14 89.08 89.32 89.16 ME, MC/kg 3.13 3.07 3.12 3.14 3.21 3.20 SID CP% 23.21 21.08 21.15 19.12 20.22 18.21 Calcium, % 1.05 1.05 0.89 0.99 0.91 0.91 Available phosphorus, % 0.34 0.34 0.29 0.29 0.30 0.30 SID Lysine, % 1.21 1.17 1.11 1.06 0.98 0.98 SID Methionine, % 0.50 0.49 0.47 0.48 0.41 0.40 SID Cysteine, % 0.41 0.39 0.37 0.35 0.36 0.35 SID Methionine + Cysteine, % 0.91 0.87 0.84 0.83 0.77 0.75 SID Phenylalanine + Tyrosine, % 1.64 1.51 1.35 1.27 1.45 1.33 SID Phenylalanine, % 0.97 0.96 0.79 0.81 0.93 0.88 SID Tyrosine, % 0.67 0.56 0.56 0.47 0.52 0.46 SID Threonine, % 0.83 0.79 0.73 0.72 0.68 0.67 SID Arginine, % 1.61 1.44 1.28 1.23 1.10 1.19 SID Histidine, % 0.55 0.53 0.54 0.43 0.46 0.42 SID Isoleucine, % 0.93 0.81 0.87 0.76 0.72 0.73 SID Leucine, % 2.15 2.05 2.06 2.03 2.14 2.03 SID Tryptophan, % 0.29 0.24 0.21 0.19 0.17 0.17 SID Valine, % 1.05 1.02 0.94 0.95 0.91 0.90 SID Glycine, % 1.72 1.89 2.06 1.50 2.03 1.36 SID Glycine + Serine, % 0.74 0.96 1.23 0.77 1.20 0.60 SID Serine, % 0.98 0.93 0.83 0.72 0.83 0.76 Kalium, % 0.78 0.78 0.70 0.70 0.59 0.59 Natrium, % 0.16 0.16 0.16 0.16 0.16 0.16 Chlorine, % 0.28 0.28 0.25 0.25 0.25 0.25 Choline, mg/kg 2344.19 2344.24 2299.51 2299.47 2046.47 2047.22 Kalium, mmol/kg 198.71 198.70 177.82 177.76 150.97 150.95 Natrium, mmol/kg 68.75 68.75 71.18 71.24 71.19 71.19 Chlorine, mmol/kg 77.97 77.97 70.54 70.57 69.57 69.57 Electrolyte balance, mmol/kg 189.49 189.48 178.46 178.43 152.59 152.57 1 NP: Normal CP diet; LP: Low-CP diet. 2 The Mineral premix provided the following per kg of diet: Cu: 16 mg; Zn: 110 mg; Fe: 80 mg; Mn: 120 mg; Se: 0.30 mg; I: 1.50 mg. 3 The Vitamin premix provided the following per kg of diet: Vitamin A: 15,000 IU; Vitamin D3: 3600 IU; Vitamin E: 30 IU; Vitamin K3: 3.00 mg; Vitamin B2: 9.60 mg; Vitamin B12: 0.03 mg; Biotin: 0.15 mg; Folic acid: 1.50 mg; Pantothenic acid: 13.80 mg; Niacin: 45 mg. Table 2 The ratio of different amino acid combinations of the experimental diets CP L&A M&C BCAA Thr Trp Con(+) 23%，21%，20% 100% 100% 100% 100% 100% Con(-) 21%，19%，18% 100% 100% 100% 100% 100% L&A(-) 21%，19%，18% 90% 100% 100% 100% 100% L&A(+) 21%，19%，18% 110% 100% 100% 100% 100% M&C(-) 21%，19%，18% 100% 90% 100% 100% 100% M&C(+) 21%，19%，18% 100% 110% 100% 100% 100% BCAA(-) 21%，19%，18% 100% 100% 90% 100% 100% BCAA(+) 21%，19%，18% 100% 100% 110% 100% 100% Thr(-) 21%，19%，18% 100% 100% 100% 90% 100% Thr(+) 21%，19%，18% 100% 100% 100% 110% 100% Trp(-) 21%，19%，18% 100% 100% 100% 100% 90% Trp(+) 21%，19%，18% 100% 100% 100% 100% 110% Con(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L&A(-): the Lysine and Arginine restriction group; L&A(+): the Lysine and Arginine supplementation group; M&C(-): the Methionine and Cysteine restriction group; M&C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group. Table 3. Parameters of primer pairs for RT-PCR. Genes 1 GenBank number Sequence(5’→3’) GAPDH NM_204305.1 F: GAGGGTAGTGAAGGCTGCTG R: CATCAAAGGTGGAGGAATGG S6K1 NM_001030721.1 F: TGGACCATGGAGGAGTTGG R: AGCACTCCGGTCGGATCTT 4EBP1 XM_424384.5 F: GTTCCTGATGGAGTGCCGTA R: GTTCCTGATGGAGTGCCGTA MAFbx NM_001030956.1 F: CCTTCACAGACCTGCCATTG R: GCAGAGCTTCTTCCACAGCA MuRF1 XM_015297755.1 F: GCTGGTGGAGAACATCATCG R: TCGCAGGTGACGCAGTAGAT 1 GAPDH: glyceraldehyde-3-phosphate dehydrogenase; S6K1: the 70-kD ribosomal protein S6 kinase; 4EBP1: eukaryotic translation initiation factor 4E-binding protein-1; MAFbx: muscle atrophy F-box; MuRF1: muscle RING finger 1. Table 4 Effects of amino acid combinations with different patterns on growth performance of AA broilers (male) 0-14d 14-28d 28-40d 0-40d IBW FBW ADFI ADG FCR FBW ADFI ADG FCR FBW ADFI ADG FCR ADFI ADG FCR Lys&Arg Con(+) 0.044 0.347 b 0.029 b 0.022 bc 1.304 1.244 b 0.094 b 0.064 ab 1.462 b 2.338 bc 0.145 b 0.091 b 1.591 0.086 c 0.058 b 1.499 b Con(-) 0.043 0.383 a 0.034 a 0.025 a 1.363 1.262 b 0.104 a 0.063 b 1.656 a 2.313 c 0.148 b 0.087 b 1.690 0.092 b 0.057 b 1.631 a L&A(-) 0.044 0.341 b 0.029 b 0.021 c 1.377 1.262 b 0.101 a 0.065 a 1.545 ab 2.375 b 0.154 a 0.093 b 1.667 0.092 b 0.058 ab 1.576 ab L&A(+) 0.043 0.371 a 0.032 a 0.023 bc 1.402 1.296 a 0.101 a 0.066 a 1.533 b 2.508 a 0.159 a 0.101 a 1.576 0.094 a 0.062 a 1.532 b SEM 0.000 0.004 0.001 0.000 0.027 0.008 0.002 0.001 0.032 0.016 0.002 0.038 0.038 0.001 0.001 0.026 P -Value 1 0.423 <0.001 0.007 0.005 0.182 0.020 0.014 0.054 0.025 <0.001 0.004 0227 0.227 <0.001 0.063 0.039 Met&Cys Con(+) 0.044 0.347 b 0.029 b 0.022 b 1.304 1.244 0.094 0.064 1.462 b 2.338 0.145 0.091 1.591 0.086 0.058 1.499 Con(-) 0.043 0.383 ab 0.034 a 0.025 a 1.363 1.262 0.104 0.063 1.656 a 2.313 0.148 0.087 1.690 0.092 0.057 1.631 M&C(-) 0.044 0.392 a 0.034 a 0.025 a 1.349 1.335 0.105 0.067 1.553 ab 2.491 0.158 0.096 1.638 0.096 0.061 1.569 M&C(+) 0.043 0.391 a 0.033 a 0.025 a 1.329 1.244 0.099 0.062 1.611 a 2.301 0.145 0.088 1.643 0.090 0.057 1.588 SEM 0.000 0.010 0.001 0.001 0.033 0.031 0.003 0.002 0.030 0.049 0.005 0.002 0.043 0.002 0.002 0.033 P -Value 0.355 0.083 0.016 0.052 0.705 0.407 0.211 0.357 0.016 0.323 0.493 0.289 0.623 0.215 0.428 0.152 BCAA Con(+) 0.044 0.347 b 0.029 b 0.022 b 1.304 1.244 a 0.094 b 0.064 a 1.462 c 2.338 a 0.145 a 0.091 a 1.591 0.086 b 0.058 a 1.499 b Con(-) 0.043 0.383 a 0.034 a 0.025 a 1.363 1.262 a 0.104 a 0.063 a 1.656 b 2.313 a 0.148 a 0.087 ab 1.690 0.092 a 0.057 a 1.631 a BCAA(-) 0.043 0.339 b 0.029 b 0.021 b 1.384 1.128 b 0.093 b 0.056 b 1.658 b 2.195 b 0.143 ab 0.089 ab 1.608 0.085 b 0.054 ab 1.585 ab BCAA(+) 0.043 0.352 b 0.030 b 0.022 b 1.35 1.107 b 0.096 b 0.054 b 1.773 a 2.100 c 0.139 b 0.083 b 1.680 0.086 b 0.051 b 1.670 a SEM 0.000 0.004 0.001 0.001 0.022 0.009 0.001 0.001 0.027 0.019 0.002 0.002 0.034 0.000 0.001 0.032 P -Value 0.361 <0.001 0.006 0.018 0.171 <0.001 <0.001 <0.001 <0.001 <0.001 0.033 0.076 0.189 <0.001 0.033 0.031 Thr Con(+) 0.044 0.347 b 0.029 b 0.022 b 1.304 1.244 a 0.094 b 0.064 a 1.462 b 2.338 a 0.145 a 0.091 a 1.591 0.086 b 0.058 a 1.499 b Con(-) 0.043 0.383 a 0.034 a 0.025 a 1.363 1.262 a 0.104 a 0.063 ab 1.656 a 2.313 a 0.148 a 0.087 a 1.690 0.092 a 0.057 a 1.631 a Thr(-) 0.044 0.378 a 0.033 a 0.024 a 1.377 1.206 a 0.099 a 0.059 b 1.679 a 2.280 a 0.151 a 0.090 a 1.685 0.091 a 0.056 a 1.632 a Thr(+) 0.044 0.345 b 0.029 b 0.021 b 1.363 1.073 b 0.088 c 0.052 c 1.686 a 2.005 b 0.134 b 0.078 b 1.727 0.081 c 0.049 b 1.654 a SEM 0.000 0.005 0.001 0.000 0.028 0.020 0.001 0.001 0.0220 0.027 0.003 0.002 0.036 0.001 0.001 0.029 P -Value 0.341 0.001 0.001 0.006 0.395 0.002 0.001 0.001 0.001 <0.001 0.008 0.006 0.179 <0.001 0.007 0.029 Trp Con(+) 0.044 0.347 b 0.029 b 0.022 bc 1.304 1.244 a 0.094 b 0.064 a 1.462 b 2.338 a 0.145 0.091 a 1.591 0.086 b 0.058 a 1.499 b Con(-) 0.043 0.383 a 0.034 a 0.025 a 1.363 1.262 a 0.104 a 0.063 a 1.656 a 2.313 a 0.148 0.087 ab 1.690 0.092 a 0.057 a 1.631 a Trp(-) 0.043 0.344 b 0.029 b 0.021 c 1.364 1.112 b 0.092 b 0.055 b 1.675 a 2.122 b 0.140 0.084 b 1.660 0.084 b 0.052 b 1.623 a Trp(+) 0.043 0.368 a 0.032 a 0.023 ab 1.351 1.255 a 0.100 a 0.063 a 1.586 ab 2.349 a 0.150 0.091 ab 1.649 0.091 a 0.057 a 1.591 ab SEM 0.000 0.005 0.001 0.001 0.022 0.013 0.002 0.001 0.040 0.015 0.003 0.002 0.034 0.001 0.001 0.029 P -Value 0.217 0.004 0.002 0.015 0.301 <0.001 0.012 <0.001 0.026 <0.001 0.343 0.130 0.285 <0.001 0.019 0.048 Con(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L&A(-): the Lysine and Arginine restriction group; L&A(+): the Lysine and Arginine supplementation group; M&C(-): the Methionine and Cysteine restriction group; M&C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; IBW: Initial body weight; FBW: Final body weight; ADFI: Average daily feed intake; ADG: Average daily gain; FCR: Feed : Gain. 1 P <0.05 was regarded as significant and 0.05<P<0.1 as a trend. a-d Dissimilar letters represent significant difference among different treatments (P<0.05). Table 5 Effects of amino acid combinations with different patterns on growth performance of AA broilers (female) 0-14d 14-28d 28-40d 0-40d IBW FBW ADFI ADG FCR FBW ADFI ADG FCR FBW ADFI ADG FCR ADFI ADG FCR Lys&Arg Con(+) 0.043 0.340 b 0.029 bc 0.021 b 1.362 1.195 b 0.090 b 0.061 ab 1.480 b 2.235 b 0.137 0.087 b 1.588 0.083 b 0.055 b 1.517 Con(-) 0.044 0.361 ab 0.032 ab 0.023 ab 1.370 1.194 b 0.094 ab 0.059 b 1.588 a 2.194 b 0.140 0.083 b 1.685 0.086 b 0.054 b 1.605 L&A(-) 0.044 0.335 b 0.029 c 0.021 b 1.367 1.243 ab 0.097 ab 0.065 a 1.495 b 2.243 b 0.141 0.083 b 1.701 0.086 ab 0.055 b 1.571 L&A(+) 0.044 0.387 a 0.034 a 0.024 a 1.384 1.311 a 0.101 a 0.066 a 1.543 ab 2.422 a 0.152 0.093 a 1.643 0.093 a 0.059 a 1.565 SEM 0.000 0.009 0.001 0.001 0.022 0.027 0.002 0.002 0.024 0.035 0.004 0.002 0.039 0.002 0.001 0.026 P -Value 1 0.680 0.024 0.007 0.044 0.946 0.090 0.036 0.076 0.060 0.020 0.169 0.016 0.441 0.042 0.002 0.231 Met&Cys Con(+) 0.043 0.34 0.029 b 0.021 1.362 1.195 0.090 0.061 1.480 2.235 0.137 b 0.087 ab 1.588 0.083 b 0.055 ab 1.517 Con(-) 0.044 0.361 0.032 a 0.023 1.370 1.194 0.094 0.059 1.588 2.194 0.140 b 0.083 b 1.685 0.086 ab 0.054 b 1.605 M&C(-) 0.044 0.367 0.031 ab 0.023 1.322 1.236 0.096 0.062 1.551 2.334 0.153 a 0.092 a 1.666 0.090 a 0.057 a 1.583 M&C(+) 0.044 0.346 0.030 ab 0.021 1.396 1.215 0.096 0.062 1.562 2.280 0.147 ab 0.089 ab 1.651 0.088 a 0.056 ab 1.585 SEM 0.000 0.007 0.001 0.001 0.019 0.029 0.002 0.002 0.043 0.047 0.003 0.002 0.038 0.001 0.001 0.021 P -Value 0.754 0.206 0.083 0.114 0.175 0.796 0.116 0.725 0.474 0.288 0.049 0.080 0.536 0.036 0.140 0.114 BCAA Con(+) 0.043 0.340 bc 0.029 0.021 1.362 1.195 a 0.090 0.061 a 1.480 b 2.235 a 0.137 0.087 a 1.585 0.083 0.055 a 1.517 b Con(-) 0.044 0.361 a 0.032 0.023 1.370 1.194 a 0.094 0.059 ab 1.588 a 2.194 ab 0.140 0.083 ab 1.685 0.086 0.054 ab 1.605 ab BCAA(-) 0.044 0.336 c 0.028 0.021 1.335 1.160 ab 0.094 0.059 ab 1.606 a 2.169 ab 0.140 0.084 ab 1.668 0.085 0.053 ab 1.592 ab BCAA(+) 0.044 0.358 ab 0.031 0.023 1.359 1.150 b 0.095 0.057 b 1.670 a 2.109 b 0.137 0.080 b 1.722 0.085 0.051 b 1.657 a SEM 0.000 0.006 0.001 0.001 0.034 0.009 0.002 0.001 0.024 0.023 0.003 0.001 0.032 0.001 0.001 0.029 P -Value 0.751 0.040 0.130 0.136 0.946 0.046 0.298 0.069 0.005 0.053 0.794 0.057 0.143 0.259 0.158 0.079 Thr Con(+) 0.043 0.340 b 0.029 b 0.021 ab 1.362 1.195 a 0.090 0.061 a 1.480 b 2.235 a 0.137 a 0.087 a 1.585 b 0.083 a 0.055 a 1.517 b Con(-) 0.044 0.361 a 0.032 a 0.023 a 1.370 1.194 a 0.094 0.059 a 1.588 a 2.194 a 0.140 a 0.083 ab 1.685 a 0.086 a 0.054 a 1.605 a Thr(-) 0.043 0.336 b 0.029 ab 0.021 b 1.425 1.115 b 0.090 0.056 b 1.613 a 2.077 b 0.137 a 0.080 b 1.708 a 0.083 a 0.051 b 1.625 a Thr(+) 0.043 0.325 b 0.028 b 0.020 b 1.377 1.084 b 0.087 0.054 b 1.606 a 1.986 b 0.128 b 0.075 c 1.707 a 0.079 b 0.049 c 1.618 a SEM 0.000 0.006 0.001 0.001 0.023 0.009 0.002 0.001 0.023 0.026 0.002 0.001 0.021 0.001 0.001 0.019 P -Value 0.559 0.018 0.030 0.046 0.358 <0.001 0.177 0.004 0.019 0.001 0.038 0.001 0.061 0.019 0.001 0.026 Trp Con(+) 0.043 0.340 b 0.029 0.021 1.362 1.195 0.090 b 0.061 1.480 b 2.235 0.137 0.087 1.585 0.083 0.055 1.517 b Con(-) 0.044 0.361 a 0.032 0.023 1.370 1.194 0.094 ab 0.059 1.588 ab 2.194 0.140 0.083 1.685 0.086 0.054 1.605 a Trp(-) 0.044 0.355 ab 0.031 0.022 1.383 1.192 0.098 a 0.060 1.640 a 2.190 0.141 0.083 1.702 0.088 0.054 1.633 a Trp(+) 0.044 0.346 ab 0.029 0.021 1.348 1.177 0.094 ab 0.059 1.590 ab 2.202 0.144 0.085 1.683 0.086 0.054 1.585 ab SEM 0.000 0.005 0.001 0.001 0.027 0.012 0.001 0.001 0.033 0.026 0.002 0.001 0.026 0.001 0.001 0.022 P -Value 0.503 0.078 0.053 0.441 0.867 0.773 0.048 0.832 0.054 0.677 0.412 0.317 0.121 0.112 0.831 0.066 Con(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L&A(-): the Lysine and Arginine restriction group; L&A(+): the Lysine and Arginine supplementation group; M&C(-): the Methionine and Cysteine restriction group; M&C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; IBW: Initial body weight; FBW: Final body weight; ADFI: Average daily feed intake; ADG: Average daily gain; FCR: Feed : Gain. 1 P <0.05 was regarded as significant and 0.05<P<0.1 as a trend. a-d Dissimilar letters represent significant difference among different treatments (P<0.05). Table 6 Effects of amino acid combinations with different patterns on carcass characteristic of AA broilers (male) DR, % HR, % ER, % FR, % BR, % TR, % 1 Lys&Arg Con(+) 94.181 ab 88.647 a 76.291 a 2.275 b 28.977 a 19.962 Con(-) 94.249 a 88.740 a 76.220 a 2.294 b 25.423 b 21.103 L&A(-) 92.680 b 87.013 b 74.116 b 2.579 a 27.631 ab 20.825 L&A(+) 93.314 ab 88.111 ab 75.629 ab 2.455 ab 29.306 a 20.057 SEM 0.337 0.393 0.513 0.071 0.851 0.551 P -Value 2 0.018 0.046 0.030 0.020 0.019 0.433 Met&Cys Con(+) 94.181 88.647 76.291 2.275 b 28.977 a 19.962 Con(-) 94.249 88.740 76.220 2.294 b 25.423 b 21.103 M&C(-) 94.192 88.614 75.228 2.859 a 27.880 ab 20.696 M&C(+) 93.857 87.935 74.888 2.985 a 24.777 b 20.510 SEM 0.339 0.432 0.535 0.119 1.037 0.602 P -Value 0.873 0.618 0.213 0.001 0.034 0.662 BCAA Con(+) 94.181 88.647 76.291 a 2.275 b 28.977 a 19.962 Con(-) 94.249 88.740 76.220 a 2.294 b 25.423 b 21.103 BCAA(-) 93.616 87.677 74.711 b 3.034 a 24.660 b 21.375 BCAA(+) 93.694 87.862 74.086 b 3.080 a 23.649 b 20.827 SEM 0.294 0.355 0.415 0.084 1.009 0.514 P -Value 0.428 0.202 0.004 <0.001 0.009 0.300 Thr Con(+) 94.181 88.647 76.291 2.275 b 28.977 a 19.962 Con(-) 94.249 88.740 76.220 2.294 b 25.423 b 21.103 Thr(-) 92.946 87.509 74.947 2.452 a 24.537 b 19.897 Thr(+) 93.700 87.868 74.724 2.574 a 24.391 b 20.245 SEM 0.548 0.455 0.655 0.06 0.871 0.708 P -Value 0.518 0.257 0.256 0.008 0.003 0.709 Trp Con(+) 94.181 a 88.647 76.291 a 2.275 b 28.977 a 19.962 ab Con(-) 94.249 a 88.740 76.220 a 2.294 b 25.423 b 21.103 ab Trp(-) 94.063 a 88.137 74.819 b 3.044 a 25.375 b 19.263 b Trp(+) 92.561 b 87.520 74.339 b 2.458 b 24.381 b 21.806 a SEM 0.326 0.421 0.386 0.109 0.980 0.624 P -Value 0.008 0.258 0.009 <0.001 0.020 0.079 Con(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L&A(-): the Lysine and Arginine restriction group; L&A(+): the Lysine and Arginine supplementation group; M&C(-): the Methionine and Cysteine restriction group; M&C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; DR: Dressing rate; HR: Half-eviscerated rate; ER: Eviscerated rate; FR: Fat pad rate; BR: Breast rate; TR: Thigh rate. 1 DR=Dressed weight/live body weight; HR=Half-eviscerated weight/live body weight; ER=Eviscerated weight/live body weight; FR=Fat pad weight/dressed weight; BR=Breast weight/eviscerated weight; TR=Thigh weight/eviscerated weight. 2 P <0.05 was regarded as significant and 0.05<P<0.1 as a trend. a-d Dissimilar letters represent significant difference among different treatments (P<0.05). Table 7 Effects of amino acid combinations with different patterns on carcass characteristic of AA broilers (female) DR, % HR, % ER, % FR, % BR, % TR, % 1 Lys&Arg Con(+) 93.478 87.901 75.945 2.275 b 27.737 a 19.796 a Con(-) 93.712 88.142 75.837 2.558 ab 25.809 b 19.668 ab L&A(-) 93.031 87.581 75.164 2.918 a 26.891 ab 18.733 b L&A(+) 93.652 88.411 76.155 2.942 a 26.705 ab 19.658 ab SEM 0.313 0.389 0.514 0.116 0.413 0.318 P -Value 2 0.453 0.538 0.594 0.007 0.037 0.102 Met&Cys Con(+) 93.478 87.901 75.945 2.275 b 27.737 a 19.796 Con(-) 93.712 88.142 75.837 2.558 b 25.809 b 19.668 M&C(-) 93.302 87.691 75.534 3.090 a 25.851 ab 20.079 M&C(+) 92.246 87.354 74.784 3.176 a 24.121 b 20.556 SEM 0.593 0.427 0.589 0.115 0.608 0.378 P -Value 0.598 0.639 0.518 <0.001 0.008 0.417 BCAA Con(+) 93.478 87.901 75.945 2.275 b 27.737 a 19.796 Con(-) 93.712 88.142 75.837 2.558 b 25.809 b 19.668 BCAA(-) 93.315 87.264 74.985 3.096 a 24.629 bc 20.945 BCAA(+) 93.751 88.22 75.267 3.239 a 23.713 c 20.819 SEM 0.307 0.431 0.549 0.112 0.487 0.502 P -Value 0.725 0.420 0.584 <0.001 <0.001 0.315 Thr Con(+) 93.478 87.901 ab 75.945 a 2.275 b 27.737 a 19.796 Con(-) 93.712 88.142 ab 75.837 a 2.558 b 25.809 ab 19.668 Thr(-) 93.614 88.335 a 75.387 ab 3.199 a 23.690 bc 19.671 Thr(+) 92.996 86.958 b 74.095 b 3.041 a 22.847 c 20.102 SEM 0.297 0.402 0.489 0.112 0.658 0.539 P -Value 0.369 0.127 0.077 <0.001 0.001 0.946 Trp Con(+) 93.478 ab 87.901 ab 75.945 ab 2.275 c 27.737 a 19.796 Con(-) 93.712 ab 88.142 ab 75.837 ab 2.558 bc 25.809 b 19.668 Trp(-) 94.016 a 89.150 a 76.084 a 3.194 a 23.823 c 19.568 Trp(+) 92.772 b 86.802 b 74.376 b 2.89 ab 25.077 b 18.841 SEM 0.345 0.568 0.531 0.123 0.402 0.414 P -Value 0.118 0.074 0.151 0.003 <0.001 0.429 Con(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L&A(-): the Lysine and Arginine restriction group; L&A(+): the Lysine and Arginine supplementation group; M&C(-): the Methionine and Cysteine restriction group; M&C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; DR: Dressing rate; HR: Half-eviscerated rate; ER: Eviscerated rate; FR: Fat pad rate; BR: Breast rate; TR: Thigh rate. 1 DR=Dressed weight/live body weight; HR=Half-eviscerated weight/live body weight; ER=Eviscerated weight/live body weight; FR=Fat pad weight/dressed weight; BR=Breast weight/eviscerated weight; TR=Thigh weight/eviscerated weight. 2 P <0.05 was regarded as significant and 0.05<P<0.1 as a trend. a-d Dissimilar letters represent significant difference among different treatments (P<0.05). Table 7 Evaluation score of important shared differential metabolites in four treatments Item NP vs LP LPAB vs LPAI VIP P -value 1 FC 2 VIP P -value 1 FC 2 Oxypurinol 1.522 0.001 0.241 1.987 <0.001 0.420 Pantothenic acid 1.513 0.002 20.226 2.055 0.001 10.359 D-Octopine 1.529 <0.001 0.170 1.923 0.003 0.328 Xanthine 1.519 0.003 0.107 1.937 <0.001 0.348 6-Tuliposide B 1.522 <0.001 0.188 1.835 <0.001 0.455 Uridine 5'-monophosphate (UMP) 1.454 <0.001 8.165 1.800 0.002 2.098 Thiamine 1.352 0.001 0.298 2.028 <0.001 0.242 N-(4-Hydroxyphenyl)glycine 1.406 0.003 0.202 2.017 <0.001 0.212 Pyridoxal (Vitamin B6) 1.406 0.003 0.202 2.017 <0.001 0.212 5'-Phosphoribosylglycinamide 1.446 0.022 0.154 2.000 0.013 0.083 Gly-His 1.479 0.004 0.042 2.111 0.004 0.029 1-Palmitoyl-2-arachidonoyl-sn-glycero-3-phosphoserine 1.463 <0.001 19.560 1.751 0.002 3.283 Chenodeoxycholic acid 1.451 0.007 0.019 1.820 0.032 0.214 Deoxycholic acid 1.451 0.007 0.019 1.820 0.032 0.214 Hyodeoxycholic acid 1.451 0.007 0.019 1.820 0.032 0.214 Isodeoxycholic acid 1.451 0.007 0.019 1.820 0.032 0.214 Ursodeoxycholic acid 1.451 0.007 0.019 1.820 0.032 0.214 Arachidonic acid (AA) 1.356 0.020 0.112 1.827 0.014 0.288 4-Amino-4-deoxychorismate 1.486 <0.001 0.145 1.922 0.005 0.296 2-Piperidone 1.217 0.030 0.296 1.769 0.015 0.418 D-galacto-Hexodialdose 1.491 0.001 0.085 1.933 0.004 0.096 N-Oleoyl glycine 1.502 0.018 0.009 1.674 0.002 0.065 N-Oleoylglycine 1.502 0.018 0.009 1.674 0.002 0.065 Linoleoylglycine 1.459 0.009 0.006 1.716 0.006 0.040 1-Stearoyl-2-arachidonoyl-sn-glycero-3-phosphoserine 1.448 <0.001 11.546 1.767 <0.001 2.929 5-Tetradecynoic acid 1.487 0.003 0.105 2.010 0.014 0.143 Hygric acid 1.265 0.016 0.186 2.026 0.022 0.091 Pipecolic acid 1.265 0.016 0.186 2.026 0.022 0.091 2-Oxo-4-phosphonobutanoate 1.499 0.004 0.133 1.935 0.008 0.280 M345T195 1.532 <0.001 0.017 1.850 0.042 0.021 Dephospho-CoA 1.405 0.001 29.684 1.859 <0.001 7.405 M368T281 1.510 0.003 0.053 2.050 0.012 0.097 Pantetheine 4'-phosphate 1.309 0.002 21.895 1.985 0.008 14.229 Eglumegad 1.485 0.003 0.277 1.878 0.004 0.438 N-Arachidonylglycine 1.422 0.012 0.009 1.795 0.008 0.035 N-Acetylmannosamine 1.502 0.001 0.219 1.897 0.005 0.353 Pyridoxamine 1.484 0.001 0.205 1.834 0.001 0.267 Goralatide (acetate) 1.491 0.004 0.056 2.103 0.004 0.090 N-Acetylglucosaminylasparagine 1.524 <0.001 6.893 1.900 <0.001 3.925 3-beta-D-Galactosyl-sn-glycerol 1.406 0.007 0.007 1.985 0.015 0.026 M730T215 1.413 0.001 17.590 1.730 0.023 15.166 Acetyl-CoA 1.365 <0.001 18.480 1.814 0.037 7.012 M374T236 1.478 <0.001 0.036 2.135 0.002 0.012 NP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet; VIP: variable importance in the projection scores; FC: Fold change; AUC: Area under the curve. 1 Volcano plot analysis provides the P -value, which is a combination of the fold change and T-test analyses. 2 FC= LP relative quantitation/ NP relative quantitation and LPAI relative quantitation/LPAB relative quantitation. Table 8 Relative quantitation of important shared differential metabolites in four treatments Item NP LP SEM QD-value 1 NP/LP 2 LPAB LPAI SEM QD-value 1 LPAB/LPAI Oxypurinol 85.757 20.700 13.192 65.057 up 41.469 17.410 5.638 24.059 up Pantothenic acid 0.326 3.377 0.683 -3.051 down 0.390 7.888 1.624 -7.498 down D-Octopine 5.678 0.964 0.713 4.713 up 2.919 0.958 0.603 1.961 up Xanthine 3.017 0.323 0.660 2.695 up 0.758 0.264 0.132 0.494 up 6-Tuliposide B 2.199 0.413 0.310 1.785 up 1.019 0.463 0.170 0.556 up Uridine 5'-monophosphate (UMP) 0.168 1.375 0.175 -1.207 up 0.641 1.345 0.276 -0.704 up Thiamine 0.913 0.272 0.211 0.640 down 0.939 0.227 0.128 0.712 down N-(4-Hydroxyphenyl)glycine 1.113 0.225 0.268 0.888 up 0.671 0.142 0.072 0.529 up Pyridoxal (Vitamin B6) 1.113 0.225 0.268 0.888 up 0.671 0.142 0.072 0.529 up 5'-Phosphoribosylglycinamide 0.722 0.111 0.239 0.611 up 1.050 0.087 0.327 0.963 up Gly-His 1.051 0.044 0.255 1.008 up 0.779 0.022 0.190 0.757 up 1-Palmitoyl-2-arachidonoyl-sn-glycero-3-phosphoserine 0.038 0.744 0.099 -0.706 up 0.251 0.824 0.223 -0.573 up Chenodeoxycholic acid 1.650 0.031 0.459 1.619 up 0.087 0.019 0.032 0.068 up Deoxycholic acid 1.650 0.031 0.459 1.619 down 0.087 0.019 0.032 0.068 down Hyodeoxycholic acid 1.650 0.031 0.459 1.619 up 0.087 0.019 0.032 0.068 up Isodeoxycholic acid 1.650 0.031 0.459 1.619 up 0.087 0.019 0.032 0.068 up Ursodeoxycholic acid 1.650 0.031 0.459 1.619 up 0.087 0.019 0.032 0.068 up Arachidonic acid (AA) 1.138 0.128 0.370 1.010 up 0.394 0.114 0.107 0.281 up 4-Amino-4-deoxychorismate 0.922 0.134 0.142 0.788 up 0.384 0.113 0.081 0.270 up 2-Piperidone 0.590 0.175 0.198 0.416 up 0.286 0.119 0.065 0.166 up D-galacto-Hexodialdose 0.548 0.046 0.094 0.502 up 0.439 0.042 0.114 0.397 up N-Oleoyl glycine 0.834 0.007 0.293 0.827 up 0.108 0.007 0.025 0.101 up N-Oleoylglycine 0.834 0.007 0.293 0.827 up 0.108 0.007 0.025 0.101 up Linoleoylglycine 0.786 0.004 0.235 0.781 up 0.144 0.006 0.040 0.138 up 1-Stearoyl-2-arachidonoyl-sn-glycero-3-phosphoserine 0.031 0.361 0.050 -0.330 up 0.127 0.373 0.081 -0.246 up 5-Tetradecynoic acid 0.527 0.055 0.116 0.472 up 0.205 0.029 0.061 0.176 up Hygric acid 0.268 0.050 0.089 0.218 down 0.346 0.032 0.124 0.314 down Pipecolic acid 0.268 0.050 0.089 0.218 up 0.346 0.032 0.124 0.314 up 2-Oxo-4-phosphonobutanoate 0.322 0.043 0.074 0.279 up 0.133 0.037 0.032 0.096 up M345T195 0.295 0.005 0.046 0.290 up 0.128 0.003 0.058 0.126 up Dephospho-CoA 0.007 0.203 0.045 -0.196 up 0.016 0.116 0.029 -0.100 up M368T281 0.195 0.010 0.044 0.185 down 0.104 0.010 0.032 0.094 down Pantetheine 4'-phosphate 0.007 0.153 0.035 -0.146 up 0.009 0.124 0.036 -0.116 up Eglumegad 0.115 0.032 0.023 0.083 down 0.064 0.028 0.011 0.036 down N-Arachidonylglycine 0.159 0.001 0.051 0.158 up 0.052 0.002 0.015 0.050 up N-Acetylmannosamine 0.136 0.017 0.027 0.119 up 0.028 0.014 0.005 0.014 up Pyridoxamine 0.101 0.022 0.018 0.079 down 0.052 0.018 0.011 0.033 down Goralatide (acetate) 0.081 0.016 0.014 0.064 down 0.062 0.017 0.017 0.046 down N-Acetylglucosaminylasparagine 0.070 0.004 0.018 0.066 up 0.026 0.002 0.006 0.024 up 3-beta-D-Galactosyl-sn-glycerol 0.004 0.026 0.004 -0.022 up 0.006 0.022 0.005 -0.016 up M730T215 0.021 0.000 0.006 0.021 up 0.001 0.000 0.001 0.001 up Acetyl-CoA 0.000 0.005 0.001 -0.005 up 0.000 0.005 0.002 -0.005 up M374T236 0.000 0.003 0.000 -0.003 up 0.001 0.005 0.002 -0.004 up NP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet; QD-value: quantitation D-value. 1 QD-value=NP relative quantitation – LP relative quantitation and LPAB relative quantitation – LPAI relative quantitation. 2 The variation tendency of metabolites was specified as NP/LP>1 means up; NP/LP1 means up; LPAB/LPAI<1 means down. Table 9 Evaluation score of important shared differential metabolic pathways in four treatments metabolic pathways NP vs LP LPAB vs LPAI Percent, % 1 RF 2 P -value Percent, % RF P -value ABC transporters 4.110 0.188 0.002 3.846 0.125 0.016 Nucleotide metabolism 6.849 0.167 <0.001 7.692 0.133 <0.001 Pantothenate and CoA biosynthesis 8.219 0.158 <0.001 7.692 0.105 0.001 Fatty acid biosynthesis 6.849 0.156 <0.001 5.769 0.094 0.007 Glutathione metabolism 9.589 0.121 <0.001 13.462 0.121 <0.001 Biosynthesis of cofactors 4.110 0.130 0.007 3.846 0.087 0.032 Thiamine metabolism 4.110 0.097 0.016 5.769 0.097 0.006 beta-Alanine metabolism 16.438 0.087 <0.001 23.077 0.087 <0.001 Pyrimidine metabolism 6.849 0.086 0.003 9.615 0.086 0.001 Purine metabolism 4.110 0.081 0.026 5.769 0.081 0.010 Starch and sucrose metabolism 5.479 0.083 0.009 5.769 0.063 0.021 Oxidative phosphorylation 8.219 0.094 0.001 5.769 0.047 0.044 Glycine, serine and threonine metabolism 10.959 0.079 <0.001 9.615 0.050 0.008 Metabolic pathways 5.479 0.063 0.024 7.692 0.063 0.008 Lysine degradation 5.479 0.071 0.016 5.769 0.054 0.031 Arginine biosynthesis 23.288 0.052 <0.001 19.231 0.030 0.006 Glyoxylate and dicarboxylate metabolism 90.411 0.022 <0.001 84.615 0.014 0.031 NP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet; RF: Rich factor. 1 percent= Percent of the number of differential metabolites in a pathway to the number of all differential metabolites in the sample. 2 RF= The ratio of the number of differential metabolites to the number of all metabolites in the same pathway. Table 10 Evaluation score and relative quantitation of common amino acid metabolites in four treatments Evaluation score Item NP vs LP LPAB vs LPAI VIP P -value 1 FC 2 VIP P -value 1 FC 2 Uric acid 1.092 0.029 1.963 0.844 0.107 1.270 Urea 1.270 0.001 2.179 0.135 0.804 1.025 Relative quantitation Item NP LP SEM QD-value 3 NP/LP 4 LPAB LPAI SEM QD-value 3 LPAB/LPAI 4 Uric acid 5.618 11.027 1.199 5.410 down 5.787 7.349 0.483 1.562 down Urea 0.004 0.009 0.001 0.005 down 0.009 0.009 0.000 0.000 down 1 Volcano plot analysis provides the P -value, which is a combination of the fold change and T-test analyses. 2 FC= LP relative quantitation/ NP relative quantitation and LPAI relative quantitation/LPAB relative quantitation. 3 QD-value=NP relative quantitation – LP relative quantitation and LPAB relative quantitation – LPAI relative quantitation. 4 The variation tendency of metabolites was specified as NP/LP>1 means up; NP/LP1 means up; LPAB/LPAI<1 means down. Supplementary Files supplementarymaterials.xlsx Cite Share Download PDF Status: Published Journal Publication published 14 Nov, 2024 Read the published version in Journal of Animal Science and Biotechnology → Version 1 posted Editorial decision: Major revision 05 Sep, 2024 Reviewers agreed at journal 24 Jun, 2024 Reviewers invited by journal 30 May, 2024 Editor assigned by journal 24 May, 2024 First submitted to journal 23 May, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4459556","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308541095,"identity":"bab06988-9fc2-4b01-9516-c9123d8ba520","order_by":0,"name":"Bin Wang","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Bin","middleName":"","lastName":"Wang","suffix":""},{"id":308541096,"identity":"f5d72ba8-8e96-4589-b06d-a8861f0257c6","order_by":1,"name":"Xiaodan Zhang","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Xiaodan","middleName":"","lastName":"Zhang","suffix":""},{"id":308541097,"identity":"6340a87d-40a2-4f07-a59a-b53de92bc5d9","order_by":2,"name":"Yongfa Liu","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Yongfa","middleName":"","lastName":"Liu","suffix":""},{"id":308541098,"identity":"dea20436-e256-441c-9097-0d496101cabb","order_by":3,"name":"Mingkun Gao","email":"","orcid":"","institution":"China Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Mingkun","middleName":"","lastName":"Gao","suffix":""},{"id":308541099,"identity":"d59f313c-bdcb-4b17-94c6-d22efe7ed9ed","order_by":4,"name":"Mi Wang","email":"","orcid":"","institution":"Shenyang Boeing Feed Company","correspondingAuthor":false,"prefix":"","firstName":"Mi","middleName":"","lastName":"Wang","suffix":""},{"id":308541100,"identity":"c53314c0-edd3-46e7-959c-c7a2043ce973","order_by":5,"name":"Yuan Wang","email":"","orcid":"","institution":"Shenyang Boeing Feed Company","correspondingAuthor":false,"prefix":"","firstName":"Yuan","middleName":"","lastName":"Wang","suffix":""},{"id":308541101,"identity":"8b5928a9-3164-4849-adc0-b68a7bcaacff","order_by":6,"name":"Xinzhi Wang","email":"","orcid":"","institution":"Shenyang Boeing Feed Company","correspondingAuthor":false,"prefix":"","firstName":"Xinzhi","middleName":"","lastName":"Wang","suffix":""},{"id":308541102,"identity":"efed67e8-30fd-48ac-95dd-0c7ffd68eaed","order_by":7,"name":"Yuming Guo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAvElEQVRIiWNgGAWjYPACGwjFQ4KWNNK1HCZBi3xE8jFp3pzz8vwzEhgfvG1jkDcnpMXwRlqaNO+224YzbiQwG85tYzDc2UBIy4wcM5CWBIYbCWzSvG0MCQYHiNNyLkH+RgL7b6K0yEuAtRxIMADawkyUFgOeZ8mWc7clG24887BZcs45CcMNBG1pTz544+02O3m548kHP7wps5EnbMsBBhYJCJOxAUhIEFAPsqWBgfkDYWWjYBSMglEwogEAY4U8jM4lc28AAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0001-8577-4803","institution":"China Agricultural University","correspondingAuthor":true,"prefix":"","firstName":"Yuming","middleName":"","lastName":"Guo","suffix":""}],"badges":[],"createdAt":"2024-05-22 08:57:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4459556/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4459556/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s40104-024-01108-2","type":"published","date":"2024-11-14T15:57:53+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":58386054,"identity":"99b105c8-87da-48ff-bfa7-c967e3e102dd","added_by":"auto","created_at":"2024-06-14 18:42:44","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":172825,"visible":true,"origin":"","legend":"\u003cp\u003eAmino acid metabolism pathways. AST: aspartate aminotransferase; ALT: alanine aminotransferase; TG: Triglyceride; ACC: Acetyl CoA carboxylase; FAS: Fatty acid synthase; GLU: Blood glucose; G6PC: Glucose-6-phosphatase; PC: Pyruvate carboxylase; TC: Cholesterol; HMGR: HMG CoA Reductase; XOD: Xanthine oxidase; BUN: urea nitrogen; UA: Uric acid; S6K1: the 70-kD ribosomal protein S6 kinase; 4EBP1: eukaryotic translation initiation factor 4E-binding protein-1.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/1469e67994f2b3e1e8fb65e8.jpg"},{"id":58384476,"identity":"692db0bd-c966-4892-b69d-ca6fcb66d820","added_by":"auto","created_at":"2024-06-14 18:34:44","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":206799,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of amino acid combinations with different patterns on hepatic enzyme activities and Serum biochemical parameters of AA broilers (male). Transamination pathway (A); Fat synthesis pathway (B); Gluconeogenic pathway (C); Cholesterol synthesis pathway (D); Uric acid excretion pathway (E); AST: aspartate aminotransferase; ALT: alanine aminotransferase; TG: Triglyceride; ACC: Acetyl CoA carboxylase; FAS: Fatty acid synthase; GLU: Blood glucose; G6PC: Glucose-6-phosphatase; PC: Pyruvate carboxylase; TC: Cholesterol; HMGR: HMG CoA Reductase; XOD: Xanthine oxidase; BUN: urea nitrogen; UA: Uric acid.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/84f3c0c773575e0dfb7c77db.jpg"},{"id":58387469,"identity":"83d7cc3f-6400-4b7c-806b-6d4abf27537e","added_by":"auto","created_at":"2024-06-14 18:50:44","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":159650,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of amino acid combinations with different patterns on hepatic enzyme activities and Serum biochemical parameters of AA broilers (female). Transamination pathway (A); Fat synthesis pathway (B); Gluconeogenic pathway (C); Cholesterol synthesis pathway (D); Uric acid excretion pathway (E); AST: aspartate aminotransferase; ALT: alanine aminotransferase; TG: Triglyceride; ACC: Acetyl CoA carboxylase; FAS: Fatty acid synthase; GLU: Blood glucose; G6PC: Glucose-6-phosphatase; PC: Pyruvate carboxylase; TC: Cholesterol; HMGR: HMG CoA Reductase; XOD: Xanthine oxidase; BUN: urea nitrogen; UA: Uric acid.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/8821f81daa9d7df63be1892d.jpg"},{"id":58384481,"identity":"384c9cf5-8241-4502-999b-e199afeaa26a","added_by":"auto","created_at":"2024-06-14 18:34:44","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":234847,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of amino acid combinations with different patterns on alterations of mRNA expressions in the breast muscle of AA broilers (male). 4EBP1 (A); S6K1 (B); MAFbx (C); MuRF1 (D). S6K1: the 70-kD ribosomal protein S6 kinase; 4EBP1: eukaryotic translation initiation factor 4E-binding protein-1; MAFbx: muscle atrophy F-box; MuRF1: muscle RING finger 1.\u003csup\u003e a-d\u003c/sup\u003eDissimilar letters represent significant difference among different treatments (P\u0026lt;0.05).\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/721b26d1cf8f0daeb2d832db.jpg"},{"id":58384482,"identity":"75592a91-6e0b-45ed-95b9-93d8f6f4409b","added_by":"auto","created_at":"2024-06-14 18:34:44","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":253694,"visible":true,"origin":"","legend":"\u003cp\u003eEffects of amino acid combinations with different patterns on alterations of mRNA expressions in the breast muscle of AA broilers (female). 4EBP1 (A); S6K1 (B); MAFbx (C); MuRF1 (D). S6K1: the 70-kD ribosomal protein S6 kinase; 4EBP1: eukaryotic translation initiation factor 4E-binding protein-1; MAFbx: muscle atrophy F-box; MuRF1: muscle RING finger 1.\u003csup\u003e a-d\u003c/sup\u003eDissimilar letters represent significant difference among different treatments (P\u0026lt;0.05).\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/edea792a841a9d2bb5e4668a.jpg"},{"id":58384479,"identity":"10f39d55-5f4c-4d4f-942d-62c218a39690","added_by":"auto","created_at":"2024-06-14 18:34:44","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":207990,"visible":true,"origin":"","legend":"\u003cp\u003ePrincipal component (PC) analysis of NP vs LP liver metabolomics data (A) and LPAB vs LPAI liver metabolomics data (B). Orthogonal Partial Least-Squares Discriminant Analysis (OPLS-DA) of NP vs LP liver metabolomics data (C) and LPAB vs LPAI liver metabolomics data (D). The permutation test (100 times) of the OPLS-DA model of NP vs LP (E) and LPAB vs LPAI (F). NP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet.\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/6295e793f54694891770cbb1.jpg"},{"id":58386056,"identity":"e9ab0ca6-80de-4707-afd6-494c8c6f171c","added_by":"auto","created_at":"2024-06-14 18:42:44","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":169697,"visible":true,"origin":"","legend":"\u003cp\u003eVolcano of NP vs LP liver differential metabolites (A) and LPAB vs LPAI liver differential metabolites (B). Venn plot of NP vs LP and LPAB vs LPAI shared liver differential metabolites (C). NP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet.\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/6a14fed5d0ca09d0de66fa67.jpg"},{"id":58387470,"identity":"4e6f030c-6f2b-4418-b6e8-63dfa11edd56","added_by":"auto","created_at":"2024-06-14 18:50:44","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":276050,"visible":true,"origin":"","legend":"\u003cp\u003eKEGG Classification of NP vs LP (A) and LPAB vs LPAI (B). KEGG Enrichment bubble of NP vs LP (C) and LPAB vs LPAI (D). NP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet.\u003c/p\u003e","description":"","filename":"8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/bb4b0455b36ef541d33e72cf.jpg"},{"id":58384484,"identity":"56614a79-6e1e-4ad6-9046-7845aec73049","added_by":"auto","created_at":"2024-06-14 18:34:44","extension":"jpg","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":147623,"visible":true,"origin":"","legend":"\u003cp\u003eBoxplot of Oxypurinol (A), pantothenic acid (B) and D-octopine (C). Receiver Operator Characteristic (ROC) curve analysis of Oxypurinol (D), pantothenic acid (E) and D-octopine (F).\u003c/p\u003e","description":"","filename":"9.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/938f72358711dd90aecfec51.jpg"},{"id":58386058,"identity":"5407d99f-46a8-4eec-acc3-9cfc00f40add","added_by":"auto","created_at":"2024-06-14 18:42:44","extension":"jpg","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":283399,"visible":true,"origin":"","legend":"\u003cp\u003eRelated pathways of amino acid balance biomarkers involved in amino acid metabolism\u003c/p\u003e","description":"","filename":"10.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/807609d28250032732fe0546.jpg"},{"id":69285082,"identity":"401020cb-8108-4dc9-9961-fe7269bb09ce","added_by":"auto","created_at":"2024-11-18 19:23:50","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5092212,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/125d9f6b-2f27-4c80-908e-894dd5122026.pdf"},{"id":58384486,"identity":"c8d06ee6-f09e-48af-b59f-8c5fbac9d6e0","added_by":"auto","created_at":"2024-06-14 18:34:44","extension":"xlsx","order_by":44,"title":"","display":"","copyAsset":false,"role":"supplement","size":38365,"visible":true,"origin":"","legend":"","description":"","filename":"supplementarymaterials.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-4459556/v1/65dbc20af711a0d5b1157676.xlsx"}],"financialInterests":"","formattedTitle":"Assessment of the dietary amino acids profiles and the relative biomarkers for amino acids balance in the low-protein diets for broiler chickens","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eThe utilization of low-protein diets has been paid significant attention in the broiler industry due to its significant role in nitrogen emission reduction\u003csup\u003e[\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]\u003c/sup\u003e. Low-protein diets were formulated to meet amino acid nutritional requirements by incorporating crystalline amino acids\u003csup\u003e[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e; However, long-term feeding of low-protein diets in broilers has been demonstrated to result in an increase in fat pad rate (FR) and feed conversion ratio (FCR)\u003csup\u003e[\u003cspan additionalcitationids=\"CR6\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e, nevertheless, Several studies have indicated that broilers fed with varying patterns of amino acids exhibit notable enhancements in body weight (BW) and FCR, as well as significant alterations in carcass characteristics\u003csup\u003e[\u003cspan additionalcitationids=\"CR9\" citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]\u003c/sup\u003e. Furthermore, Macelline conducted a study on broilers fed with two different protein content and amino acid patterns diets, and revealed that the optimal growth of broilers necessitates distinct different amino acid patterns depending on the protein content\u003csup\u003e[\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. Consequently, it proved to be challenging to meet birds' growth requirements through formulating a low-protein diet based solely on the amino acid patterns established on normal-protein level diet.\u003c/p\u003e \u003cp\u003eIn the process of protein synthesis, animals require the combined participation of essential amino acids (EAA) and nonessential amino acids (NEAA). Numerous studies have demonstrated that animals fed low-protein diets exhibit poor growth performance accompanied by a reduction in blood NEAA concentration\u003csup\u003e[\u003cspan additionalcitationids=\"CR13\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/sup\u003e, indicating that NEAAs or total nitrogen deficiency may limit animal growth\u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e. As the total protein content decreased in a low-protein diet, the body's supply of nitrogen source used for synthesizing NEAAs is also lowered, resulting in the conversion of some EAAs provided in the diet into NEAAs through oxidative decomposition. Therefore, it is imperative to reassess the EAA concentration in low-protein diets to determine an optimal EAA pattern.\u003c/p\u003e \u003cp\u003eIn the current broilers feeding experiment, the main methods for evaluating dietary amino acids are addition assay and deletion assay, each with its own advantages and disadvantages\u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]\u003c/sup\u003e. Combining these two methods effectively allows for determining the increasing and decreasing trends in amino acid concentration in the diet by comparing differences in animal traits when amino acids are present or absent. Furthermore, it is important to note that interactions among amino acids of the same type; therefore, any changes in one amino acid's concentration will have a certain impact on another\u003csup\u003e[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e. Therefore, the EAAs were categorized into different combinations based on their structural and functional properties. The pattern of each amino acid combination in the diet was adjusted using a combination of addition and deletion methods to evaluate changes in amino acid composition.\u003c/p\u003e \u003cp\u003eThe indexes commonly used for assessing the dietary amino acid balance include nitrogen balance assay and serum urea nitrogen or uric acid concentration\u003csup\u003e[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]\u003c/sup\u003e. These indexes are based on the excretion or deposition of total nitrogen in diets. However, the nitrogen balance assay is a cumbersome procedure with significant variation, which hinders its large-scale application in production. As mentioned earlier, dietary total nitrogen is involved in NEAA synthesis, indicating that serum urea nitrogen or uric acid concentration does not fully reflect amino acid balance extent. Therefore, it is needed to identify biomarkers that accurately reflect amino acid balance. Metabolomics serves as a systematic biological analysis tool in studying amino acid nutrition\u003csup\u003e[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e; it intuitively reflects metabolic differences among animals under different conditions and assesses how metabolic balance is affected by amino acid deficiency or excess\u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]\u003c/sup\u003e.Subsequently, diets with optimal and suboptimal amino acid balance were selected, followed by metabolomics analysis for identifying biomarkers to assess amino acid balance.\u003c/p\u003e"},{"header":"2 Material And Methods","content":"\u003cp\u003e\u003cstrong\u003e2.1 Animal ethics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis experiment was conducted in Zhuozhou experimental Base of China Agricultural University and was approved by the Animal Welfare and Ethics Review Committee of China Agricultural University (AW61504202-1-2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.2 Experimental diets\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe feeding standard of the experimental diet was referred to the Feeding Standard of Chickens (2004)\u003csup\u003e[23]\u003c/sup\u003e, equal energy and electrolyte balance. With the protein content of 23% in the starter phase, 21% in the grower phase and 20% in the finisher phase as positive control normal diet, and 21% in the starter phase, 19% in the grower phase and 18% in the finisher phase as negative control low-protein diet, dietary composition and nutrient concentration are shown in Table 1. Dietary EAAs were divided into five combinations according to their structure and property: Lysine and Arginine, Methionine and cysteine, branched-chain amino acid (BCAA), threonine and tryptophan. According to the principle of addition and deletion methods, the five amino acid combinations were adjusted up and down by 10% respectively based on the low-protein diet (Table 2). The specific treatments were: the Normal-protein Control diet (Con(+)), the Low-protein Control diet (Con(-)), the Lysine and Arginine restriction diet (L\u0026amp;A(-)), the Lysine and Arginine supplementation diet (L\u0026amp;A(+)), the Methionine and Cysteine restriction diet (M\u0026amp;C(-)), the Methionine and Cysteine supplementation diet (M\u0026amp;C(+)), the BCAA restriction diet (BCAA(-)), the BCAA supplementation diet (BCAA(+)), the Threonine restriction diet (Thr(-)), the Threonine supplementation diet (Thr(+)), the Tryptophan restriction diet (Trp(-)) and the Tryptophan supplementation diet (Trp(+)), detailed dietary composition and nutrient concentration are shown in Table S1-S3. All feeds were mixed evenly in a vertical spiral mixer (DLH-30, Guibao) and granulated by steam at 80℃.\u003c/p\u003e\n\u003cp\u003eAll the samples of experimental diets were polished into powder and stored at -20℃to determine the content of crude protein, energy and EAAs concentrations.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.3 Animals and feeding management\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA total of 720 0-day-old healthy AA broilers, half male and half female (identified by feather speed) with an initial body weight of 43.5g \u0026plusmn; 0.5g, were randomly assigned to 12 diets according to gender with 6 pens per treatment and 10 broilers per pen. The experiment lasted for 40 days and was divided into three phases: the starter phase (0-14 days of age), the grower phase (15-28 days of age) and the finisher phase (29-40 days of age). The broilers were fed in captivity, and always had available feed and water. The illumination period of the poultry house was gradually reduced from 24 hours a day to 20 hours a day. The temperature was gradually lowered from 35 \u0026deg; C to 22 \u0026deg; C. The immunization procedure was carried out according to the management manual, and the environment of the poultry house and the health status of the broilers were checked daily.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.4 Sample collection and analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe male and female broilers experiments performed the same procedure. The body weight of each pen was measured and the feed consumption was recorded at the beginning and end of each phase, and the number of deaths and body weight of dead broilers were recorded daily to correct the growth performance data. At 40 days of age, the end of the final phase, 4 broilers close to the average body weight were selected for each pen, and the two were used for slaughter. The slaughtering process was in accordance with the Operating Procedure of Livestock and Poultry Slaughtering\u0026mdash;Chicken\u003csup\u003e[24]\u003c/sup\u003e, and the contents of the measurement included dressing rate; half-eviscerated rate; eviscerated rate; fat pad rate; breast rate and thigh rate. The other two were used for sample collection. After the broilers were killed by electric shock, blood was collected from the jugular vein quickly and placed in a coagulant tube. After standing at room temperature for 4 hours, the blood was transferred to a 4℃\u0026nbsp;centrifuge, centrifuged at 3000R/min for 15min, and the supernatant was stored at -80℃. Liver and chest muscle tissues were collected and placed in a sterile cryopreservation tube, after quenching with liquid nitrogen, they were transferred to -80℃\u0026nbsp;for preservation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.5 Serum biochemical parameter analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe serum concentrations of total protein (TP), albumin (ALB), globulin (GLB), triglyceride (TG), total cholesterol (TC), blood urea nitrogen (BUN), Uric acid (UA), glucose (GLU), alanine transaminase (ALT) and aspartate aminotransferase (AST), were analyzed using an automatic biochemical analyzer (BK1200, Biobase, Jinan, Shandong). All operating procedures were performed according to the equipment instructions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.6 Hepatic enzyme activities analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe liver tissue was mixed and ground with normal saline, and the supernatant was removed after centrifugation and transferred to 4 \u0026deg; C for storage. Aspartate aminotransferase (AST), alanine aminotransferase (ALT), Acetyl CoA carboxylase (ACC), Fatty acid synthase (FAS), Glucose-6-phosphatase (G6PC), Pyruvate carboxylase (PC), HMG CoA Reductase (HMGR) and Xanthine oxidase (XOD) were measured using commercial reagent kit (Nanjing Jiancheng Bioengineering Institute, Nanjing, China). All procedures were performed according to the manufacturer\u0026apos;s instructions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.7 Real-Time Quantitative PCR\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eRNA extraction, reverse transcription, and real-time PCR were performed as described by Yang et al\u003csup\u003e[25]\u003c/sup\u003e. Total RNA was extracted from the breast muscle tissue using RNAiso Plus reagent (Takara Biomedical Technology Company, Beijing, China). After the purity and concentration of RNA were determined by a nucleic acid analyzer, cDNA was synthesized using a reverse transcription kit, diluted, and analyzed by qRT-PCR. The resulting mRNA expression was normalized to GAPDH, and the remaining relative mRNA expressions were calculated on this basis. Primers used for GAPDH, 4EBP1, S6K1, MAFbx, and MuRF1 were designed and commercially synthesized according to sequences in GenBank (Table 3) (Sangon Biotechnology, Shanghai, China).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.8 Metabolite extraction and detection\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAt low temperature, 25mg sample was weighed into an EP tube, and 500\u0026mu;L extraction solution (methanol: acetonitrile: water = 2:2:1) (V/V) containing isotope labeled internal standard mixture was added. The mixture was vortexed and mixed for 30s. The homogenate beads were added and homogenized in a homogenizer (35 HZ, 4min), then transferred to an ice water bath and sonicated for 5min, and repeated three times. The homogenate was left at -40 \u0026deg; C for 1h before being transferred to a centrifuge, and centrifuged at 12000rpm for 15min at 4\u0026nbsp;℃. The supernatant was taken for examination.\u003c/p\u003e\n\u003cp\u003eChromatographic separation of the target compounds was performed using an ultra-high performance liquid chromatograph with a chromatographic column (Waters ACQUITY UPLC BEH Amide (2.1 mm \u0026times; 50 mm, 1.7 \u0026mu;m)). Liquid chromatography phase A was aqueous phase (25mmol/L ammonium acetate and 25mmol/L ammonia water), phase B was acetonitrile. Sample plate temperature: 4℃. Injection volume: 2\u0026mu;L. Primary and secondary mass spectrometry data acquisition was performed under the control of the Orbitrap Exploris 120 mass spectrometer control software (Xcalibur, version: 4.4, Thermo).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.9 Statistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEach pen was considered as one experimental unit. One-way ANOVA analysis was used for data analysis by SPSS 27(IBM), results are presented as means. \u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was considered a significant difference, 0.05\u0026lt;\u003cem\u003eP\u003c/em\u003e\u0026lt;0.1 indicated a trend of difference. To clarify the adjustment trend of different EAA combinations, growth performance and carcass characteristic were only analyzed between the same amino acid combinations. Hepatic enzyme activities and Serum biochemical parameters data were graphically plotted by Origin 2022 (OriginLab). The raw metabolome data were converted into mzXML format by ProteoWizard software, and then metabolites were identified and visualized by R language. The database was BiotreeDB (V3.0).\u003c/p\u003e\n\u003cp\u003ePrincipal component analysis (PCA) was used to outline the population structure, and orthogonal partial least squares discriminant analysis (OPLS-DA) was used to further analyze the differences between treatments. The goodness of fit (R\u003csup\u003e2\u003c/sup\u003e) and the goodness of prediction (Q\u003csup\u003e2\u003c/sup\u003e) are used to represent the cross-validation results, and the closer they are to 1, the more reliable the model is. T-test and volcano plot were used for data analysis, metabolites with VIP\u0026gt;1, Fold change\u0026gt;2 or \u0026lt;0.5 and \u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 were considered differential metabolites. Venn plot was used to show the shared differential metabolites among the four treatments, and the potential as markers was determined based on the receiver operating characteristic curve (ROC), with the area under the curve (AUC) closer to 1 indicating greater potential. In addition, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gallus gallus (chicken) metabolome database\u003csup\u003e[26]\u003c/sup\u003e were used to enrichment metabolic pathways related to differential metabolites, higher percent of metabolites and rich factors indicated more significant enrichment of the pathway.\u003c/p\u003e"},{"header":"3 Results","content":"\u003cp\u003e\u003cstrong\u003e3.1 Growth performance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.1.1 Lysine and Arginine Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn male broilers, significant differences across the four treatment groups were observed in body weight (BW), average daily feed intake (ADFI), average daily gain (ADG), and FCR throughout the various growth phases. The Lysine and Arginine supplementation group demonstrated the best overall performance. Specifically, this group had the highest BW during the grower and finisher phases, albeit slightly lower than the Low-protein Control group during the starter phase; ADFI was lower than the Low-protein Control group in the early phases but peaked in the finisher phase. The Lysine and Arginine supplementation group also consistently had the highest ADG, with the exception of the starter phase. Conversely, the Normal-protein Control group exhibited the lowest FCR, except during the finisher phase.\u003c/p\u003e\n\u003cp\u003eFor female broilers, the pattern of significant differences in BW, ADFI, ADG, and FCR among the treatments was similar, though the differences in the grower phase were less pronounced than in males, yet discernible trends were present. Throughout all phases, the Lysine and Arginine supplementation group outperformed the other treatments in terms of BW, ADFI, and ADG. \u0026nbsp; Meanwhile, the Normal-protein Control group consistently had the lowest FCR, with the exception of the finisher phase.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.1.2 Methionine and\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eCysteine Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDuring the starter phase, significant differences were noted in ADFI among the four treatments for male broilers. Similarly, at the grower phase, a notable divergence was observed in FCR. Trends were also discernible in BW and ADG during the starter phase. However, no significant variations were detected in the remaining indicators. The Normal-protein Control group had the lowest BW, ADFI and ADG at the starter phase and FCR at the grower phase. The female broilers had the same performance as the male broilers, but the Methionine and Cysteine restriction group had the lowest FCR at the starter phase and the highest ADFI at the finisher phase.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.1.3 BCAA Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences in BW, ADFI, ADG and FCR among the four treatments at different phases in male and female broilers, but no significant differences between the BCAA supplementation group and the BCAA restriction group at each phase. Broilers that were fed diets with adjusted BCAA concentrations exhibited poorer performance compared to those in the control groups.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.1.4 Threonine Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences in BW, ADFI, ADG and FCR among the four treatments at different phases in male and female broilers, with the Threonine supplementation group had the worst performance. In addition, broilers that were fed diets with adjusted threonine concentrations exhibited poorer performance compared to those in the control groups, but Threonine restriction group was numerically slightly better than Threonine supplementation group.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.1.5 Tryptophan Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences among the four treatments in all the indexes at the starter and grower phases and in BW at the finisher phase in male broilers. The Tryptophan restriction group had the worst performance at the whole life phase. There was no significant difference between the Tryptophan supplementation group and the Low-protein Control group, but the Tryptophan supplementation group showed an upward trend in the finisher phase. There were differences among the four treatments in FCR at different phases, and BW, ADFI at starter phase in female broilers. With the exception of the Normal-protein Control group, the Tryptophan supplementation group had the lowest FCR at all phases.\u003c/p\u003e\n\u003cp\u003eIn general, the growth performance of male broilers and female broilers was similar, but the differences of females were less significant.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2 Carcass characteristic\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMale and female broilers have the same performances in carcass characteristic and are therefore described uniformly in the following paragraphs.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.1 Lysine and Arginine Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences in all indexes except thigh rate (TR) among the four treatments. The Lysine and Arginine restriction group was the lowest in dressing rate (DR), half-eviscerated rate (HR) and eviscerated rate (ER), and the highest in fat pad rate (FR). However, the Lysine and Arginine supplementation group was significantly higher than the Low-protein Control group in breast rate (BR).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.2 Methionine and Cysteine Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences in FR and BR among the four treatments. The Methionine and Cysteine restriction group and the Methionine and Cysteine supplementation group were both higher than the Normal-protein Control group and the Low-protein Control group in FR, while BR were not different from the Low-protein Control group.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.3 BCAA Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences among the four treatments in ER, FR, and BR. Both the BCAA restriction group and the BCAA supplementation group were lower than the Low-protein Control group and the Normal-protein Control group in ER, and higher in FR, but no difference in BR compared with the Low-protein Control group.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.4 Threonine Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences in FR and BR among the four treatments, with both the Threonine restriction group and the Threonine supplementation group having significantly higher FR and lower BR than the other two groups.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2.5 Tryptophan Allowance\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences among the four treatments in the ER, FR, and BR, and a trend in the TR. Both the Tryptophan restriction group and the Tryptophan supplementation group had a lower ER than the Normal-protein Control group and the Low-protein Control group, and there was a significant difference in TR between them. In addition, the Tryptophan restriction group had the highest FR.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3 Hepatic enzyme activities and Serum biochemical parameters\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHepatic enzyme activities and Serum biochemical parameters\u0026nbsp;of broilers were determined according to the amino acid metabolic pathways (Fig.1).\u003c/p\u003e\n\u003cp\u003eThere were significant differences in hepatic enzyme activities and serum biochemical parameters among all treatments in male broilers. In the transamination pathway, the Threonine restriction group had the highest hepatic enzyme activities and serum metabolites, and the Lysine and Arginine supplementation group had the lowest (Fig.2-A). In the fat synthesis pathway, the Tryptophan supplementation group was the highest and the Tryptophan restriction group was the lowest (Fig.2-B). In the gluconeogenesis pathway, the Methionine and Cysteine supplementation group was the highest and the Methionine and Cysteine restriction group was the lowest (Fig.2-C). In the Cholesterol synthesis pathway, the Tryptophan supplementation group was the highest and the BCAA restriction group was the lowest (Fig.2-D). In the Uric acid excretion pathway, the Threonine supplementation group was the highest and the Normal-protein Control group was the lowest (Fig.2-E).\u003c/p\u003e\n\u003cp\u003eIn the case of female broilers, the variations in hepatic enzyme activities among the different treatment groups were fundamentally similar to those observed in males. In the transamination pathway, the Threonine supplementation group had the highest hepatic enzyme activities and serum metabolites, and the BCAA restriction group had the lowest (Fig.3-A). In the fat synthesis pathway, the Tryptophan supplementation group was the highest and the Tryptophan restriction group was the lowest (Fig.3-B). In the gluconeogenesis pathway, the Methionine and Cysteine supplementation group was the highest and the Lysine and Arginine supplementation group was the lowest (Fig.3-C). In the Cholesterol synthesis pathway, the Tryptophan supplementation group was the highest and the Tryptophan restriction group was the lowest (Fig.3-D). In the Uric acid excretion pathway, the Threonine supplementation group was the highest and the Lysine and Arginine supplementation group was the lowest (Fig.3-E).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4 Expressions of mRNA in breast muscle\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere were significant differences in S6K1 and MAFBx expressions and no significant difference in other indexes in male broilers (Fig.4-A-D) and female broilers (Fig.5-A-D). The Threonine supplementation group was significantly lower than the other treatments, and the Normal-protein Control group and the Lysine and Arginine supplementation group were the highest In S6K1. In MAFBx, the Threonine supplementation group was significantly higher than the other treatments, and the Lysine and Arginine supplementation group was the lowest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5 Hepatic metabolomics analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBased on screening of data in 3.3 and 3.4, as well as the sex-specific sensitivity of animals to amino acid balance. Male broilers were selected as the model. The Normal-protein Control group served as normal protein diet (NP), the Low-protein Control group was used for low-protein diet (LP), the Lysine and Arginine supplementation group was utilized for low-protein amino acid balanced diet (LPAB), and the Threonine supplementation group was employed for low-protein amino acid imbalanced diet (LPAI). These diets were subjected to Untargeted metabolomics analysis in order to Identify the biomarkers of amino acid balance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5.1 Principal component analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe PCA score plots revealed a significant separation between NP and LP, with PC1 and PC2 accounting for 69.6% and 8.8% of the sample variation, respectively (Fig.6-A). Similarly, there was a notable distinction between LPAB and LPAI as shown in the PCA score plots where PC1 and PC2 explained 35.9% and 19.5% of the sample variation, respectively (Fig.6-B).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5.2 Orthogonal partial least-squares discriminant analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe OPLS-DA score plot demonstrated a significant separation between NP and LP, with the abscissa and the ordinate explaining intra-group differences, accounting for 40.4% and 17.2% of sample variation, respectively (Fig.6-C). A permutation test (n=100) was conducted to validate the OPLS-DA model. The blue bands depict the original samples, where a more pronounced distribution towards the right indicates a more substantial data separation between groups. R\u003csup\u003e2\u003c/sup\u003eY(cum) and Q\u003csup\u003e2\u003c/sup\u003e(cum) values were determined as 0.988 and 0.823, respectively (Fig.6-E), confirming the reliability of these results.\u003c/p\u003e\n\u003cp\u003eIn the same way, the OPLS-DA score plot exhibited a significant separation between LPAB and LPAI, with inter-group differences on the abscissa and the ordinate accounting for 21% and 21.6% of sample variation, respectively (Fig.6-D). R2Y(cum) value was calculated as 0.994 while Q2(cum) value reached 0.857 (Fig.6-F), indicating high reliability in these results.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5.3 Identification of significant differential metabolites\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eVolcano plots revealed the detection of 2528 up-regulated metabolites and 3150 down-regulated metabolites between NP and LP, resulting in the identification of 431 differential metabolites (Fig.7-A). Additionally, a total of 932 up-regulated metabolites and 1872 down-regulated metabolites were detected between LPAB and LPAI based on the volcano plot analysis, leading to the final identification of 248 differential metabolites (Fig.7-B). Overall, a total of 167 differential metabolites were identified among the four treatments (Fig.7-C).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5.4 Acquisition of specific potential biomarkers\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo identify relevant differential metabolites among more than 100 metabolites, the following criteria were employed: \u003cem\u003eP\u003c/em\u003e\u0026lt;0.05, VIP\u0026gt;1 and Fold Change\u0026gt;2 or \u0026lt;0.5. A total of 43 metabolites met these criteria (Table 7). In broiler production, certain technical procedures such as handling and blood sampling can induce stress in animals and potentially interfere with in vivo biochemical indexes. Therefore, based on the identified differential metabolites, we selected those that exhibited consistent changes in direction and quantitative differences value (QD-value)\u0026gt;1. Three metabolites meeting these criteria were Oxypurinol, Pantothenic acid, and D-octopine (Table 8).\u003c/p\u003e\n\u003cp\u003eThe potential of metabolites as biomarkers was evaluated through the multivariate exploratory ROC curve analysis. Boxplots demonstrated significant differences in these three metabolites among the four treatments (Fig.9-A-C), and subsequent ROC analysis revealed that their AUCs were all equal to 1 (Fig.9-D-F), indicating their promising potential as biomarkers. Consequently, Oxypurinol, Pantothenic acid, and D-octopine are considered viable candidates for amino acid balance biomarkers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5.5 Metabolic pathway analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pathway analysis revealed the precise impact of amino acid balance alteration on the relevant metabolic network, and the extent of enrichment in metabolic pathways could be quantified using rich factor (RF) and percent. Percent is calculated by dividing the number of differential metabolites in a pathway by the total number of differential metabolites in the sample. RF represents the ratio of differential metabolites to all metabolites within the same pathway (Fig.8). The significance level was set at \u003cem\u003eP\u003c/em\u003e\u0026lt;0.05, with RF\u0026gt;0.1 and Percent\u0026gt;5, there were a total of 4 metabolic pathways identified: Nucleotide metabolism, Pantothenate and CoA biosynthesis, Fatty acid biosynthesis, and Glutathione metabolism (Table 9). These pathways are considered to be associated with amino acid balance and can serve as potential targets for future studies on amino acid balance.\u003c/p\u003e"},{"header":"4 Discussion","content":"\u003cp\u003eAfter adjusting the patterns of EAA combinations in low-protein diets, significant differences were observed in various broiler performance indexes, indicating the effectiveness of improving animal performance through EAA patterns adjustments. It is noteworthy that regardless of gender, broilers fed the Low-protein Control diet exhibited significantly poorer growth performance compared to those fed the Normal-protein Control diet. Surprisingly, during the starter phase, a slight advantage was observed for broilers on the Low-protein Control group. This could be attributed to the presence of yolk sac in chicks and their relatively less vigorous requirement for exogenous nutrients during initial growth phases\u003csup\u003e[27]\u003c/sup\u003e. The high protein content in the Normal-protein Control group provided adequate protein nutrition with minimal feed intake; however, it also resulted in lower energy intake which negatively impacted growth performance during this phase. Once fully absorbed, a rapid improvement in growth performance was evident for broilers on the Normal-protein Control group during subsequent phases. In terms of carcass characteristics, broilers fed the Normal-protein Control diet displayed higher breast rate and lower fat pad rate, suggesting a balanced amino acid profile where sufficient amino acids were utilized for protein synthesis rather than oxidative decomposition leading to fat accumulation within their bodies. Although not significantly different from the Normal-protein Control group, broilers on the Low-protein Control group exhibited reduced breast rate but comparable fat pad rate levels. These results indicate that while there was still balance in amino acid ratios within the Low-protein Control group, insufficient amounts of amino acids were available for optimal protein synthesis possibly due to lower total nitrogen content\u003csup\u003e[15]\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eThe growth performance and breast rate of broilers fed the Lysine and Arginine supplementation dite were significantly improved in diets with adjusted lysine and arginine combinations ratio, for both male and female broilers. It should be noted that there was a decrease in dressing rate, half-eviscerated rate, and eviscerated rate after reducing the dietary concentration of lysine and arginine, which was particularly significant in males. Lysine is the second limiting amino acid in broilers, playing an important role solely in protein synthesis without involvement in various complex physiological functions\u003csup\u003e[28]\u003c/sup\u003e. After supplementing lysine to the low-protein diets, besides meeting the requirement for protein synthesis along with other amino acids, excess lysine is oxidatively decomposed within the body to form substrates for NEAAs synthesis\u003csup\u003e[29]\u003c/sup\u003e. This leads to increased concentrations of available amino acids and enhanced protein synthesis within the body. The remaining substances not involved in synthesis enter the TCA cycle and eventually contribute to fat deposition, thereby explaining well why breast rate increases simultaneously with fat retention when supplemented with lysine and arginine. When dietary lysine concentration is low, priority is given by the body to allocate amino acids towards synthesizing proteins essential for vital organs' functioning as well as feather development\u003csup\u003e[30]\u003c/sup\u003e. Consequently, this results in decreased overall meat yield from broilers i.e., reduced dressing rate, half-eviscerated rate, and eviscerated rate. Therefore, it is recommended to increase levels of lysine and arginine supplementation within low-protein diets.\u003c/p\u003e\n\u003cp\u003eThe reduction of methionine and cysteine concentration in the diet resulted in an improvement in FCR for both male and female subjects, as well as a numerical increase in body weight. However, it also led to a significant increase in fat pad rate, while breast rate remained lower than that of the Normal-protein Control group. Methionine's role in poultry has been extensively studied\u003csup\u003e[31-32]\u003c/sup\u003e. Apart from its involvement in protein synthesis, methionine can also enhance overall body metabolism. When dietary methionine supply is reduced, animals increase their feed intake to meet normal growth demands, thereby improving amino acid availability within the body and subsequently reducing FCR while increasing breast rate. Methionine plays a regulatory role in lipid metabolism as well. Insufficient methionine affects CPT1-mediated fatty acid entry into mitochondria, leading to excessive fat deposition\u003csup\u003e[33]\u003c/sup\u003e. Conversely, excessive methionine levels can result in hyperhomocysteinemia among broilers, impairing lipid metabolic processes\u003csup\u003e[34]\u003c/sup\u003e. This explains why there is a significant increase in fat pad rate observed regardless of whether methionine concentration is upregulated or downregulated among broilers. Therefore, when formulating low-protein diets, it is important to avoid large variations in the concentrations of both methionine and cysteine.\u003c/p\u003e\n\u003cp\u003eSurprisingly, the growth performance and carcass characteristic of both male and female subjects fed diets with adjusted ratios of BCAA combinations were significantly inferior to those in the control groups. It is widely acknowledged that BCAAs exhibit antagonistic effects on each other\u003csup\u003e[35]\u003c/sup\u003e. However, this study found that adjusting the dietary concentration based on the original BCAA ratio as a whole did not prevent the occurrence of these antagonistic effects. This suggests that the interaction between BCAAs is likely influenced by their absolute concentrations. When adjusting the ratio of BCAA combinations, it is important to consider the weightage of individual members within the combination. Furthermore, increasing amino acid concentration generally according to current balance patterns when exploring amino acid balance patterns in low-protein diets is not advisable. Additionally, broilers fed with a diet containing higher concentrations of BCAAs (the BCAA supplementation group) exhibited worse performance compared to those fed with lower concentrations (the BCAA restriction group), indicating a more pronounced antagonistic effect with increased BCAA concentration. The increase in grain feed proportion in low-protein diets also leads to an increase in leucine concentration\u003csup\u003e[36]\u003c/sup\u003e. Leucine is known as one of the most antagonistic amino acids within BCAAs\u003csup\u003e[37]\u003c/sup\u003e, while valine is currently considered as poultry's fourth limiting amino acid\u003csup\u003e[38]\u003c/sup\u003e. Therefore, future research on BCAAs should take into account the relationship between leucine and valine to minimize any negative impact caused by antagonistic effects.\u003c/p\u003e\n\u003cp\u003eThe growth performance and carcass characteristics are negatively affected by the ratio of dietary threonine after adjustment, with broilers fed a the Threonine supplementation diet exhibiting the poorest outcomes among all treatments, indicating an extremely unbalanced amino acid patterns in this diet. Threonine plays a crucial role in maintaining amino acid balance in the diet and can partially alleviate the growth inhibition caused by excessive lysine, methionine, and tryptophan\u003csup\u003e[39]\u003c/sup\u003e. This suggests that threonine may have an inhibitory effect on the utilization of other amino acids. There have been previous reports on the adverse effects of excessive threonine\u003csup\u003e[40]\u003c/sup\u003e. In future studies, it is important to meet the minimum requirement for threonine without additional supplementation to maintain optimal amino acid balance in the diet.\u003c/p\u003e\n\u003cp\u003eTryptophan, despite its low concentration in diets, cannot be disregarded for its physiological regulatory effect on broilers. Supplementation of tryptophan in low-protein diets significantly improves the growth performance and carcass characteristics of both male and female broilers. It is worth noting that the average daily feed intake decreases, which may be attributed to the presence of 5-hydroxy-tryptamine (5-HT), a metabolite of tryptophan. 5-HT regulates poultry feeding behavior and excessive levels can induce satiety and reduce feed intake\u003csup\u003e[41]\u003c/sup\u003e. Tryptophan stimulates protein synthesis by promoting insulin secretion\u003csup\u003e[42]\u003c/sup\u003e, thereby increasing meat yield. This study reveals that adjusting the tryptophan ratio has a significant impact on thigh yield, particularly in males, while having minimal effect on breast yield. Further exploration is required to understand this preference better. Moreover, there was no significant increase in fat pad rate with high concentrations of tryptophan, indicating that supplementing low-protein diets with tryptophan benefits amino acid balance. However, addressing how to maintain animal feed intake without reduction at high concentrations of tryptophan should be prioritized for future research.\u003c/p\u003e\n\u003cp\u003eIt is imperative to assess the diet amino acid balance promptly and accurately to establish low-protein diets amino acid balance pattern, while elucidating the adjustment trends of each EAA in low-protein diets. Therefore, we firstly described the entire pathway of amino acid metabolism (Fig.1) and determine different treatments at the transcriptional, protein, and metabolic levels to get the optimal and worst amino acid balance treatment for subsequent screening of amino acid balance biomarkers. Based on the results of hepatic enzyme activities and serum metabolites in the amino acid metabolism pathway, it is evident that the Threonine supplementation group was the highest in both transamination and urinary nitrogen excretion pathways. When there is an imbalance of amino acids in diet, numbers of amino acids are oxidized and decomposed due to their inability to participate timely in protein synthesis, leading to increased enzyme activities and metabolite content in amino acid metabolism pathways\u003csup\u003e[43]\u003c/sup\u003e. The transamination pathway represents the initiation of amino acid metabolism and decomposition while gluconeogenesis pathway, fat synthesis pathway and cholesterol synthesis pathway represent the fate of decomposed amino acids within the body, urinary nitrogen excretion pathway indicates degree of waste from these processes. In the Threonine supplementation group, excessive threonine undergoes oxidation and decomposition within body before being converted into glycine\u003csup\u003e[44]\u003c/sup\u003e which directly participates in uric acid synthesis\u003csup\u003e[45]\u003c/sup\u003e resulting in excess nitrogen not retained as functional NEAA. This may be reason for highest nitrogen excretion observed within this treatment. Therefore, from perspective of protein balance and metabolism, the Threonine supplementation group appears most imbalanced while the Lysine and Arginine supplementation group displays lower enzyme activities and metabolite content across various pathways indicating greater balance at these two levels. In addition, it is also observed that the Tryptophan supplementation group exhibited the highest content in both the fat synthesis pathway and cholesterol synthesis pathway. Tryptophan has been demonstrated to reduce blood glucose levels\u003csup\u003e[46]\u003c/sup\u003e and promote insulin secretion\u003csup\u003e[47]\u003c/sup\u003e. Insulin, in turn, regulates liver metabolism by enhancing fat synthesis, inhibiting fatty acid oxidation, and promoting triglyceride esterification\u003csup\u003e[48]\u003c/sup\u003e. Consequently, it is anticipated that the Tryptophan supplementation group would exhibit elevated levels of triglycerides and cholesterol. Based on expressions of mRNA related to protein synthesis in breast muscle, it was noted that the Threonine supplementation group displayed the lowest expressions for protein synthesis while exhibiting the highest expressions for degradation. Conversely, this trend was reversed in the Lysine and Arginine supplementation group, indicating an imbalance at a transcriptional level within the Threonine supplementation group compared to a more balanced state within the Lysine and Arginine supplementation group.\u003c/p\u003e\n\u003cp\u003eBased on the results obtained from three levels, the Normal-protein Control group was ultimately designated as the normal control diet (NP), the Low-protein Control group as the low-protein control diet (LP), the Lysine and Arginine supplementation group as the low-protein amino acid balance diet (LPAB), and the Threonine supplementation group as the low-protein amino acid imbalance diet (LPAI) for metabolomics analysis aimed at exploring biomarkers of amino acid balance. Serum is a commonly utilized sample for assessing the physiological state of animals. However, serum biochemical indicators are often influenced by animal activities such as stress, leading to the detection of metabolites unrelated to the experiment and compromising study accuracy when exploring metabolism and identifying biomarkers. Considering that the liver serves as the primary site for amino acid metabolism, where metabolites are synthesized and transferred into the bloodstream through the portal vein, investigating changes in amino acid metabolism in liver tissue provides a more representative approach. Therefore, liver tissue was selected for analysis in this study. Following metabolite identification and statistical analysis, three metabolites were eventually identified as biomarkers of amino acid balance: Oxypurinol, Pantothenic acid, and D-Octopine. Their association with amino acid metabolism has been depicted in Figure 10. Oxypurinol is an active metabolite and an analogue of xanthine that is formed through oxidation and decomposition of its precursor substance allopurinol\u003csup\u003e[49]\u003c/sup\u003e. Allopurinol resembles hypoxanthine and competes with it for xanthine oxidase (XOD) during uric acid formation. It is commonly used as a medication for gout\u003csup\u003e[50]\u003c/sup\u003e. The primary metabolic mechanism involves XOD-mediated conversion of allopurinol l to oxypurinol by rotation at its enzyme active site, leading to reduction of molybdenum Mo (VI) active center to Mo (IV), thereby inhibiting uric acid production\u003csup\u003e[51]\u003c/sup\u003e. In this study, it was observed that oxypurinol content significantly increased in both amino acid balance treatment (NP and LPAB), despite no exogenous supplementation of allopurinol. This can be attributed to only a small amount of surplus amino acids enter catabolic processing under conditions of amino acid balance, resulting in insufficient NEAAs such as aspartic acid, glutamine, and glycine serving as raw materials for de novo purine synthesis\u003csup\u003e[52]\u003c/sup\u003e. Consequently, there is a decrease in hypoxanthine and xanthine content, original substrates for XOD, which enhances competitiveness of allopurinol leading to increased generation of oxypurinol. Additionally, we observed an increase in the concentration of xanthine (Table 8), this finding is not contradictory. The absolute utilization of XOD by allopurinol inhibits the timely excretion of initial xanthine as uric acid. However, it cannot be converted back to hypoxanthine and thus accumulates in body in significant quantities. Notably, oxypurinol exhibited the highest relative abundance among all metabolites and displayed substantial variation across different treatments. Importantly, it demonstrated a close association with end products of amino acid metabolism. Therefore, we propose that oxypurinol serves as the most representative biomarker for assessing amino acid balance.\u003c/p\u003e\n\u003cp\u003eThe homeostatic regulation of pantothenic acid, vitamin B5, in the body involves its interaction with pantothenic acid and coenzyme A\u003csup\u003e[53]\u003c/sup\u003e. In the presence of a pantothenate deficiency, coenzyme A is dephosphorylated by alkaline phosphatase to form dephospho-CoA, which then undergoes hydrolysis of its 5'-phosphodiester bond to yield phosphopantetheine. The subsequent step involves the synthesis of pantetheine under the catalysis of alkaline phosphatase, which is ultimately converted into pantothenic acid\u003csup\u003e[54]\u003c/sup\u003e. In the absence of coenzyme A, pantothenic acid is phosphorylated to 4'-phosphopantothenate by pantothenate-kinase and subsequently condenses with cysteine. Decarboxylase removes the carboxy group from this compound to generate dephosphocoenzym A, which eventually leads to the formation of coenzyme A\u003csup\u003e[55]\u003c/sup\u003e. The amino acid balanced diets (NP and LPAB), were anticipated to exhibit a reduced pantothenic acid content in this study. The ultimate goal of amino acid metabolism is to produce coenzyme A for entry into the tricarboxylic acid cycle and participation in other substance synthesis processes\u003csup\u003e[56]\u003c/sup\u003e. As mentioned earlier, when amino acids are balanced, fewer amino acids participate in catabolic processes resulting in decreased levels of their decomposition products such as coenzyme A (Table 8). Under homeostatic regulation effects, synthesis reactions favor conversion towards increased levels of coenzyme A while leading to a decrease in overall pantothenic acid content.\u003c/p\u003e\n\u003cp\u003eThe energy metabolite D-octopine, derived from the combination of Octopine dehydrogenase (OcDH) and NADH\u003csup\u003e[57]\u003c/sup\u003e, undergoes a series of metabolic reactions: Firstly, NADH binds to domain 1 of OcDH to form a complex; subsequently, arginine binds to domain 2 of OcDH resulting in the formation of an OCDH-NADH-L-arginine complex; finally, pyruvate binds to the last binding site within the complex and promptly condenses into D-octopine while releasing H\u003csup\u003e+\u003c/sup\u003e and NAD\u003csup\u003e+\u003c/sup\u003e\u003csup\u003e[58-59]\u003c/sup\u003e. In an amino acid balanced diet where there is an abundance of raw materials for protein synthesis, both the quantity and rate of protein synthesis are increased along with higher energy requirements. Consequently, a significant elevation in D-octopine content was observed in NP and LPAB. During amino acid utilization process, ensuring coordinated energy supply becomes crucially important for animals' growth\u003csup\u003e[60]\u003c/sup\u003e. This is particularly true when animals are on an amino acid balanced diet as rapid protein synthesis may lead to insufficient energy levels causing non-participating amino acids to enter catabolic processes, thereby affecting evaluation indexes' values. Such circumstances can result in erroneous assessment regarding dietary amino acid balance patterns. Therefore, it would be meaningful to conduct experiments on the dietary amino acid balance pattern while ensuring adequate energy supply for the animals.\u003c/p\u003e\n\u003cp\u003eThe aforementioned three metabolites were not commonly observed in the investigation of dietary amino acids. Therefore, we specifically selected the common metabolites uric acid and urea from the metabolomics data for comparative analysis (Table 10). However, it was found that these two metabolites exhibited relatively low evaluation scores, and their differences were insignificant when considering minor variations in the balance degree of dietary amino acids. In especial the urea content within the LPAB and LPAI groups. These findings suggest that previous indicators used to assess amino acid balance lack sufficient sensitivity, especially in studies with minimal differences, which may lead to erroneous evaluations. Oxypurinol is an upstream metabolite of uric acid, while pantothenic acid acts upstream of tricarboxylic acid cycle products such as cholesterol and triglycerides. On the other hand, D-octopine plays a central role in energy metabolism. They are all highly sensitive to amino acid balance and does not disrupt normal amino acid metabolism. Furthermore, based on the results of metabolic pathway enrichment analysis, oxypurinol corresponds to nucleotide metabolism, whereas pantothenate corresponds to pantothenate and CoA biosynthesis. Therefore, these three metabolites serve as reliable indicators for assessing amino acid balance. In the subsequent amino acid balance study, the evaluation can be based on the direction of metabolite changes provided in Table 8. Specifically, higher levels of oxypurinol and D-octopine, along with lower levels of pantothenic acid, indicate a more balanced composition of dietary amino acids within this group.\u003c/p\u003e\n\n"},{"header":"5 Conclusion","content":"\u003cp\u003eIn conclusion, adjusting the patterns of EAAs in low-protein diets is required to enhance amino acid balance and improve broiler growth performance. Metabolomics analysis identified a total of 43 metabolites and 4 metabolic pathways associated with amino acid balance, including hepatic oxypurinol, pantothenic acid, and D-octopine as potential biomarkers for assessing dietary amino acid balance. By detecting these biomarkers, it becomes possible to evaluate the degree of dietary amino acid balance precisely. This study provides valuable insights for further exploration of the amino acid balance pattern in low-protein diets for broilers.\u0026nbsp;\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eACC\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAcetyl coA carboxylase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eADFI\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAverage daily feed intake\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eADG\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAverage daily gain\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eALB\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAlbumin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eALT\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAlanine transaminase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eAST\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAspartate aminotransferase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eAUC\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eArea under the curve\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBCAA\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eBranched-chain amino acid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBCAA(-)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe BCAA restriction diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBCAA(+)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe BCAA supplementation diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBR\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eBreast rate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBUN\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eBlood urea nitrogen\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBW\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eBody weight\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eCon(-)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Low-protein Control diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eCon(+)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Normal-protein Control diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eDR\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eDressing rate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eEAA\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eEssential amino acids\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eER\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eEviscerated rate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFAS\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eFatty acid synthase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFCR\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eFeed conversion ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eFR\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eFat pad rate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eG6PC\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eGlucose-6-phosphatase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eGLB\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eGlobulin\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eGLU\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eGlucose\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eHMGR\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eHMG CoA Reductase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eHR\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eHalf-eviscerated rate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eKEGG\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eKyoto Encyclopedia of Genes and Genomes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eL\u0026amp;A(-)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Lysine and Arginine restriction diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eL\u0026amp;A(+)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Lysine and Arginine supplementation diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLP\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eLow-protein diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLPAB\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eLow-protein amino acid balanced diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLPAI\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eLow-protein amino acid imbalance diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLPD\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eLow-protein-level diets\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eM\u0026amp;C(-)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Methionine and Cysteine restriction diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eM\u0026amp;C(+)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Methionine and Cysteine supplementation diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eNEAA\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eNonessential amino acid\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eNP\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eNormal diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eNPD\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eNormal-protein-level diets\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eOcDH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eOctopine dehydrogenase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eOPLS-DA \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eOrthogonal partial least squares discriminant analysis\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003ePC \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003ePyruvate carboxylase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003ePCA \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003ePrincipal component analysis\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eROC\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eReceiver operating characteristic curve\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eTotal cholesterol\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eTriglyceride\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eThr(-)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Threonine restriction diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eThr(+)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Threonine supplementation diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTP\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eTotal protein\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThigh rate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTrp(-)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Tryptophan restriction diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eTrp(+)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eThe Tryptophan supplementation diet\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eUA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eUric acid\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eXOD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eXanthine oxidase\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the Animal Welfare and Ethics Review Committee of China Agricultural University (AW61504202-1-2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData and model availability statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBW: data analysis and manuscript writing. XZ, YL and MG: performed experiments and collected data. MW, YW and XW: gave guidance. YG: study design, financial support and manuscript revision. All authors have read and agreed to the published version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNone.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNone.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFinancial support statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by Shenyang Governmental Science and Technology Program (Project No. 22-316-2-02) and China Agriculture Research System Program (Project No. CARS-41-G04).\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eDe Cesare A, Faria DVI, Sala C, Sirri F, Astolfi A, Castellani G, et al. Effect of a low protein diet on chicken ceca microbiome and productive performances. 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Liver fat accumulation as a barometer of insulin responsiveness again points to adipose tissue as the culprit. Hepatology. 2017;65(4): 1088-1090. https://doi.org/10.1002/hep.29094.\u003c/li\u003e\n\u003cli\u003eSekine M, Okamoto K, Pai EF, Nagata K, Ichida K, Hille R, et al. Allopurinol and oxypurinol differ in their strength and mechanisms of inhibition of xanthine oxidoreductase. J Biol Chem. 2023;299(9): 105189. https://doi.org/10.1016/j.jbc.2023.105189.\u003c/li\u003e\n\u003cli\u003ePacher P, Nivorozhkin A, Szabo C. Therapeutic effects of xanthine oxidase inhibitors: renaissance half a century after the discovery of allopurinol. Pharmacol Rev. 2006;58(1): 87-114. https://doi.org/10.1124/pr.58.1.6.\u003c/li\u003e\n\u003cli\u003eHille R, Hall J, Basu P. The mononuclear molybdenum enzymes. Chem Rev. 2014;114(7): 3963-4038. https://doi.org/10.1021/cr400443z.\u003c/li\u003e\n\u003cli\u003ePareek V, Pedley AM, Benkovic SJ. Human de novo purine biosynthesis. Crit Rev Biochem Mol Biol. 2021;56(1): 1-16. https://doi.org/10.1080/10409238.2020.1832438.\u003c/li\u003e\n\u003cli\u003eB. RR. 2016. Pantothenic acid. Academic press; Cambridge, ma, usa.\u003c/li\u003e\n\u003cli\u003eNaquet P, Kerr EW, Vickers SD, Leonardi R. Regulation of coenzyme a levels by degradation: the \u0026apos;ins and outs\u0026apos;. Prog Lipid Res. 2020;78: 101028. https://doi.org/10.1016/j.plipres.2020.101028.\u003c/li\u003e\n\u003cli\u003eHrubsa M, Siatka T, Nejmanova I, Voprsalova M, Kujovska KL, Matousova K, et al. Biological properties of vitamins of the b-complex, part 1: vitamins b(1), b(2), b(3), and b(5). Nutrients. 2022;14(3). https://doi.org/10.3390/nu14030484.\u003c/li\u003e\n\u003cli\u003eTillander V, Arvidsson NE, Reilly J, Strozyk M, Van Veldhoven PP, Hunt MC, et al. Acyl-coa thioesterase 9 (acot9) in mouse may provide a novel link between fatty acid and amino acid metabolism in mitochondria. Cell Mol Life Sci. 2014;71(5): 933-48. https://doi.org/10.1007/s00018-013-1422-1.\u003c/li\u003e\n\u003cli\u003eChih C. P. EWR. Control of glycolysis during contractile activity in the phasic adductor muscle of the bay scallop argopecten irradians concentricus: identification of potential sites of regulation and a consideration of the control of octopine dehydrogenase activity. Physiol. Zool. 1986;1(59): 563-73. https://doi.org/10.1086/physzool.59.5.30156121.\u003c/li\u003e\n\u003cli\u003eSmits SH, Mueller A, Schmitt L, Grieshaber MK. A structural basis for substrate selectivity and stereoselectivity in octopine dehydrogenase from pecten maximus. J Mol Biol. 2008;381(1): 200-11. https://doi.org/10.1016/j.jmb.2008.06.003.\u003c/li\u003e\n\u003cli\u003evan Os N, Smits SH, Schmitt L, Grieshaber MK. Control of d-octopine formation in scallop adductor muscle as revealed through thermodynamic studies of octopine dehydrogenase. J Exp Biol. 2012;215(Pt 9): 1515-22. https://doi.org/10.1242/jeb.069344.\u003c/li\u003e\n\u003cli\u003eHeijmans J, Duijster M, Gerrits W, Kemp B, Kwakkel RP, van den Brand H. Impact of growth curve and dietary energy-to-protein ratio on productive performance of broiler breeders. Poult Sci. 2021;100(7): 101131. https://doi.org/10.1016/j.psj.2021.101131.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003ctable border=\"0\" cellpadding=\"0\" width=\"775\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1 Ingredients and nutrient composition of the experimental diets (as-fed basis)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.588541666666664%\" rowspan=\"2\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.53125%\" colspan=\"2\"\u003e\n \u003cp\u003eStarter phase:0~14d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.005208333333332%\" colspan=\"2\"\u003e\n \u003cp\u003eGrower phase:15~28d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.875%\" colspan=\"2\"\u003e\n \u003cp\u003eFinisher phase:29~42d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.384615384615385%\"\u003e\n \u003cp\u003eNP\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.384615384615385%\"\u003e\n \u003cp\u003eLP\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.334719334719335%\"\u003e\n \u003cp\u003eNP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.384615384615385%\"\u003e\n \u003cp\u003eLP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.334719334719335%\"\u003e\n \u003cp\u003eNP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.176715176715177%\"\u003e\n \u003cp\u003eLP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\" valign=\"top\"\u003e\n \u003cp\u003eCorn [level 2, 7.8%], %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e53.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e57.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e57.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e66.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e62.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e65.26\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSoybean meal [level 3, 44%], %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e29.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e28.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e29.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e19.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e22.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e21.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eCorn gluten meal [61%], %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e7.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e4.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e5.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e4.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e8.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e2.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eCalcium bicarbonate (Anhydrous) , %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e1.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e1.69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSoy oil, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e4.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e4.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e3.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e3.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e4.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e5.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eMineral meal, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e1.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e1.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e1.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSalt, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eCholine chloride (50%), %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eMineral premix\u003csup\u003e2\u003c/sup\u003e, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eDL-\u0026nbsp;Methionine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-LysineHCl, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eVitamin premix\u003csup\u003e3\u003c/sup\u003e, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-Cysteine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Phenylalanine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Threonine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Arginine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL- Histidine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Isoleucine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.11\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Leucine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Tryptophan, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eL-\u0026nbsp;Valine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eGlycine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003ePhytase, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003ePotassium carbonate, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003esodium bicarbonate, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003eNutrient concentration (Analyzed composition)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eDry matter, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e89.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e89.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e89.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e89.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e89.32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e89.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eME, MC/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e3.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e3.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e3.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e3.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e3.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e3.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID CP%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e23.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e21.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e21.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e19.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e20.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e18.21\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eCalcium, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eAvailable phosphorus, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.30\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Lysine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Methionine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.40\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Cysteine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Methionine + Cysteine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Phenylalanine + Tyrosine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Phenylalanine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.88\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Tyrosine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Threonine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.67\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Arginine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e1.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Histidine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Isoleucine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Leucine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e2.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e2.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e2.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e2.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Tryptophan, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Valine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.90\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Glycine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e2.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e2.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e1.36\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Glycine + Serine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e1.20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.60\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eSID Serine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\" valign=\"top\"\u003e\n \u003cp\u003e0.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\" valign=\"top\"\u003e\n \u003cp\u003e0.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\" valign=\"top\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eKalium, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.78\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eNatrium, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eChlorine, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eCholine, mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e2344.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e2344.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e2299.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e2299.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e2046.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e2047.22\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eKalium, mmol/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e198.71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e198.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e177.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e177.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e150.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e150.95\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eNatrium, mmol/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e68.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e68.75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e71.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e71.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e71.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e71.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eChlorine, mmol/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e77.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e77.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e70.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e70.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e69.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e69.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"36.876640419947506%\"\u003e\n \u003cp\u003eElectrolyte balance, mmol/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e189.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e189.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e178.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.711286089238845%\"\u003e\n \u003cp\u003e178.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.204724409448819%\"\u003e\n \u003cp\u003e152.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.58005249343832%\"\u003e\n \u003cp\u003e152.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eNP: Normal CP diet; LP: Low-CP diet.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003eThe Mineral premix provided the following per kg of diet: Cu: 16 mg; Zn: 110 mg; Fe: 80 mg; Mn: 120 mg; Se: 0.30 mg; I: 1.50 mg.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e3\u003c/sup\u003eThe Vitamin premix provided the following per kg of diet: Vitamin A: 15,000 IU; Vitamin D3: 3600 IU; Vitamin E: 30 IU; Vitamin K3: 3.00 mg; Vitamin B2: 9.60 mg; Vitamin B12: 0.03 mg; Biotin: 0.15 mg; Folic acid: 1.50 mg; Pantothenic acid: 13.80 mg; Niacin: 45 mg.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"519\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 2 The ratio of different amino acid combinations of the experimental diets\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003eCP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003eL\u0026amp;A\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003eM\u0026amp;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003eBCAA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003eThr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003eTrp\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e23%，21%，20%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eL\u0026amp;A(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e90%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eL\u0026amp;A(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e110%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eM\u0026amp;C(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e90%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eM\u0026amp;C(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e110%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eBCAA(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e90%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eBCAA(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e110%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eThr(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e90%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eThr(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e110%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eTrp(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e90%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.615384615384615%\"\u003e\n \u003cp\u003eTrp(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.03846153846154%\"\u003e\n \u003cp\u003e21%，19%，18%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.692307692307692%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.576923076923077%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.153846153846153%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e100%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.961538461538462%\"\u003e\n \u003cp\u003e110%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eCon(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L\u0026amp;A(-): the Lysine and Arginine restriction group; L\u0026amp;A(+): the Lysine and Arginine supplementation group; M\u0026amp;C(-): the Methionine and Cysteine restriction group; M\u0026amp;C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"491\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"3\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 3. Parameters of primer pairs for RT-PCR.\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.663951120162933%\"\u003e\n \u003cp\u003eGenes\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.568228105906314%\"\u003e\n \u003cp\u003eGenBank number\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"53.76782077393075%\"\u003e\n \u003cp\u003eSequence(5\u0026rsquo;\u0026rarr;3\u0026rsquo;)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.663951120162933%\" rowspan=\"2\"\u003e\n \u003cp\u003eGAPDH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.568228105906314%\" rowspan=\"2\"\u003e\n \u003cp\u003eNM_204305.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"53.76782077393075%\"\u003e\n \u003cp\u003eF: GAGGGTAGTGAAGGCTGCTG\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003eR: CATCAAAGGTGGAGGAATGG\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.663951120162933%\" rowspan=\"2\"\u003e\n \u003cp\u003eS6K1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.568228105906314%\" rowspan=\"2\"\u003e\n \u003cp\u003eNM_001030721.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"53.76782077393075%\"\u003e\n \u003cp\u003eF: TGGACCATGGAGGAGTTGG\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003eR: AGCACTCCGGTCGGATCTT\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.663951120162933%\" rowspan=\"2\"\u003e\n \u003cp\u003e4EBP1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.568228105906314%\" rowspan=\"2\"\u003e\n \u003cp\u003eXM_424384.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"53.76782077393075%\"\u003e\n \u003cp\u003eF: GTTCCTGATGGAGTGCCGTA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003eR: GTTCCTGATGGAGTGCCGTA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.663951120162933%\" rowspan=\"2\"\u003e\n \u003cp\u003eMAFbx\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.568228105906314%\" rowspan=\"2\"\u003e\n \u003cp\u003eNM_001030956.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"53.76782077393075%\"\u003e\n \u003cp\u003eF: CCTTCACAGACCTGCCATTG\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003eR: GCAGAGCTTCTTCCACAGCA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.663951120162933%\" rowspan=\"2\"\u003e\n \u003cp\u003eMuRF1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.568228105906314%\" rowspan=\"2\"\u003e\n \u003cp\u003eXM_015297755.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"53.76782077393075%\"\u003e\n \u003cp\u003eF: GCTGGTGGAGAACATCATCG\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\"\u003e\n \u003cp\u003eR: TCGCAGGTGACGCAGTAGAT\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eGAPDH: glyceraldehyde-3-phosphate dehydrogenase; S6K1: the 70-kD ribosomal protein S6 kinase; 4EBP1: eukaryotic translation initiation factor 4E-binding protein-1; MAFbx: muscle atrophy F-box; MuRF1: muscle RING finger 1.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1096\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"17\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 4 Effects of amino acid combinations with different patterns on growth performance of AA broilers (male)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.554744525547445%\" colspan=\"5\"\u003e\n \u003cp\u003e0-14d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"24.17883211678832%\" colspan=\"4\"\u003e\n \u003cp\u003e14-28d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.266423357664234%\" colspan=\"4\"\u003e\n \u003cp\u003e28-40d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.065693430656935%\" colspan=\"3\"\u003e\n \u003cp\u003e0-40d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"5.588235294117647%\"\u003e\n \u003cp\u003eIBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eFBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.588235294117647%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.588235294117647%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eFBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eFBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.588235294117647%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.470588235294118%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.054794520547945%\" colspan=\"2\"\u003e\n \u003cp\u003eLys\u0026amp;Arg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.347\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.022\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.244\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.094\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.064\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.462\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.338\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.145\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.091\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.591\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.086\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.058\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.499\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.383\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.034\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.025\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.363\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.262\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.104\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.063\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.656\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.313\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.148\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.087\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.690\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.092\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.057\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.631\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eL\u0026amp;A(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.341\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.021\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.377\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.262\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.101\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.065\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.545\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.375\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.154\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.093\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.667\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.092\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.058\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.576\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eL\u0026amp;A(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.371\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.032\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.101\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.576\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.094\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.062\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.532\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.039\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"12.054794520547945%\" colspan=\"2\"\u003e\n \u003cp\u003eMet\u0026amp;Cys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.347\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.022\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.244\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.462\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.338\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.145\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.091\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.591\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.058\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.499\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.313\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.148\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.087\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.690\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.092\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.057\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.631\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eM\u0026amp;C(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.158\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.638\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.569\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eM\u0026amp;C(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.391\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.033\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.025\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.329\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.244\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.099\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.611\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.301\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.145\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.643\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.090\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.057\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.588\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.211\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.357\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.323\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.493\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.289\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.623\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.428\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.152\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n 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width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.347\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.022\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.244\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.094\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.064\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.462\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.631\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eBCAA(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.339\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.021\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.384\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.128\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.093\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.056\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.658\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.195\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.143\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.089\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.608\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.085\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n 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width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.027\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.361\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.076\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n 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width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.063\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.656\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.313\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.148\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.087\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.690\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.092\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.057\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n 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width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.363\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.073\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.088\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.052\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.686\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.005\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.134\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.078\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n 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\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.205479452054795%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.027397260273973%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.347\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.022\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.304\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.244\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.094\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.064\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.462\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.338\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.145\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.091\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.591\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.086\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.058\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.499\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.383\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.034\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.025\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.363\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.262\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.104\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.063\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.656\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.313\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.148\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.087\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.690\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.092\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.057\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.631\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eTrp(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.344\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.021\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.112\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.092\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.055\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.675\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.122\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.084\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.660\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.084\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.052\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.623\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eTrp(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.368\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.032\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.023\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.351\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.255\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.100\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.063\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.586\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e2.349\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.091\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e1.649\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.091\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.057\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e1.591\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.934306569343065%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.301\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.343\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.130\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.200729927007299%\"\u003e\n \u003cp\u003e0.285\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.021897810218978%\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eCon(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L\u0026amp;A(-): the Lysine and Arginine restriction group; L\u0026amp;A(+): the Lysine and Arginine supplementation group; M\u0026amp;C(-): the Methionine and Cysteine restriction group; M\u0026amp;C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; IBW: Initial body weight; FBW: Final body weight; ADFI: Average daily feed intake; ADG: Average daily gain;\u0026nbsp;FCR: Feed : Gain.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003e\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was regarded as significant and 0.05\u0026lt;P\u0026lt;0.1 as a trend.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea-d\u003c/sup\u003eDissimilar letters represent significant difference among different treatments (P\u0026lt;0.05).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"1115\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"17\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 5 Effects of amino acid combinations with different patterns on growth performance of AA broilers (female)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.810035842293907%\" rowspan=\"2\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.956989247311828%\" colspan=\"5\"\u003e\n \u003cp\u003e0-14d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.74551971326165%\" colspan=\"4\"\u003e\n \u003cp\u003e14-28d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.74551971326165%\" colspan=\"4\"\u003e\n \u003cp\u003e28-40d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.741935483870968%\" colspan=\"3\"\u003e\n \u003cp\u003e0-40d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"5.491329479768786%\"\u003e\n \u003cp\u003eIBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eFBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.491329479768786%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eFBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eFBW\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADFI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eADG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.358381502890174%\"\u003e\n \u003cp\u003eFCR\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.859838274932615%\" colspan=\"2\"\u003e\n \u003cp\u003eLys\u0026amp;Arg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.121293800539084%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.340\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.195\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.090\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.061\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.480\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.235\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.087\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.588\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.055\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.517\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.361\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.032\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.023\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.370\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.194\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.094\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.059\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.588\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.194\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.685\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.086\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.054\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.605\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eL\u0026amp;A(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.335\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.367\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.243\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.097\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.065\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.495\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.243\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.701\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.086\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.055\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.571\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eL\u0026amp;A(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.090\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.480\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.137\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.087\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.588\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.055\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n 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width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.346\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.030\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.396\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.062\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.562\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.280\u003c/p\u003e\n \u003c/td\u003e\n 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.114\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.859838274932615%\" colspan=\"2\"\u003e\n \u003cp\u003eBCAA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.121293800539084%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.340\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.195\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.090\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.061\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.480\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.235\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.087\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.055\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.517\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.361\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.370\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.194\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.059\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.606\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.169\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.084\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.668\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.085\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.053\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.592\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.670\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.109\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.080\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.722\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.085\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.051\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.657\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.751\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n 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width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.340\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n 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width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.370\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.194\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.059\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.588\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.194\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.140\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.685\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.086\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.054\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.605\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eThr(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.336\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.080\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.708\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.051\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.625\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eThr(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.325\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.128\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.075\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.707\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.079\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.049\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.618\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n 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width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.559\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.030\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n 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\u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"11.859838274932615%\" colspan=\"2\"\u003e\n \u003cp\u003eTrp\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.121293800539084%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.929919137466308%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.043\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.340\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.362\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.090\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.480\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.235\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.087\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.055\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.517\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.361\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.370\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.194\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.094\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.588\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.194\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.140\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.685\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.605\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eTrp(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.355\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.031\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.383\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.192\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.098\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.060\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.640\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.190\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.702\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.633\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eTrp(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.346\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e1.348\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.094\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.590\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e2.202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.144\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.085\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.683\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e1.585\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.027\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"6.822262118491921%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.503\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.078\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.441\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.11669658886894%\"\u003e\n \u003cp\u003e0.867\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.773\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.048\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.832\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.677\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.412\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.317\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.831\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.9245960502693%\"\u003e\n \u003cp\u003e0.066\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eCon(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L\u0026amp;A(-): the Lysine and Arginine restriction group; L\u0026amp;A(+): the Lysine and Arginine supplementation group; M\u0026amp;C(-): the Methionine and Cysteine restriction group; M\u0026amp;C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group;\u0026nbsp;IBW: Initial body weight; FBW: Final body weight; ADFI: Average daily feed intake; ADG: Average daily gain;\u0026nbsp;FCR: Feed : Gain.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003e\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was regarded as significant and 0.05\u0026lt;P\u0026lt;0.1 as a trend.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea-d\u003c/sup\u003eDissimilar letters represent significant difference among different treatments (P\u0026lt;0.05).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 6 Effects of amino acid combinations with different patterns on carcass characteristic of AA broilers (male)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\" valign=\"top\"\u003e\n \u003cp\u003eDR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003eHR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"top\"\u003e\n \u003cp\u003eER, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\" valign=\"top\"\u003e\n \u003cp\u003eFR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\" valign=\"top\"\u003e\n \u003cp\u003eBR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\" valign=\"top\"\u003e\n \u003cp\u003eTR, %\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.149321266968325%\" colspan=\"2\"\u003e\n \u003cp\u003eLys\u0026amp;Arg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.181\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.647\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.291\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e28.977\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.962\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.249\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.740\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.220\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.294\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e25.423\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e21.103\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eL\u0026amp;A(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e92.680\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.013\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.116\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.579\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e27.631\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e20.825\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eL\u0026amp;A(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e93.314\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.111\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e75.629\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.455\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e29.306\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e20.057\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.337\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.393\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.513\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.071\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.851\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.551\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.046\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.030\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.020\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.433\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.149321266968325%\" colspan=\"2\"\u003e\n \u003cp\u003eMet\u0026amp;Cys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.181\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.291\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e28.977\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.962\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.740\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.220\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.294\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e25.423\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e21.103\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eM\u0026amp;C(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.192\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.614\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e75.228\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.859\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e27.880\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e20.696\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eM\u0026amp;C(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e93.857\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.888\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.985\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e24.777\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e20.510\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.339\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.432\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.535\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e1.037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n 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width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.181\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.291\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e28.977\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.962\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.249\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.740\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.220\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.294\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e25.423\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e21.103\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eBCAA(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e93.616\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.677\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.711\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e3.034\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e24.660\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e21.375\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eBCAA(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e93.694\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.862\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.086\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e3.080\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e23.649\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e20.827\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.294\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.355\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.415\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.084\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e1.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.514\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.428\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.300\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.149321266968325%\" colspan=\"2\"\u003e\n \u003cp\u003eThr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.181\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.291\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e28.977\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.962\u003c/p\u003e\n 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width=\"12.820512820512821%\"\u003e\n \u003cp\u003e92.946\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.509\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.947\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.452\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e24.537\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.897\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eThr(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e93.700\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.868\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.724\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.574\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e24.391\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e20.245\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.548\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.455\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.655\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.871\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.708\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.518\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.257\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.256\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.709\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.149321266968325%\" colspan=\"2\"\u003e\n \u003cp\u003eTrp\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.181\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.647\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.291\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e28.977\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.962\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.249\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.740\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e76.220\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.294\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e25.423\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e21.103\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eTrp(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e94.063\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e88.137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.819\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e3.044\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e25.375\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e19.263\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eTrp(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e92.561\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e87.520\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e74.339\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e2.458\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e24.381\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e21.806\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.326\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.421\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.386\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.109\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.980\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.624\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.820512820512821%\"\u003e\n \u003cp\u003e0.020\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.328808446455506%\"\u003e\n \u003cp\u003e0.079\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eCon(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L\u0026amp;A(-): the Lysine and Arginine restriction group; L\u0026amp;A(+): the Lysine and Arginine supplementation group; M\u0026amp;C(-): the Methionine and Cysteine restriction group; M\u0026amp;C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; DR: Dressing rate; HR: Half-eviscerated rate; ER: Eviscerated rate; FR: Fat pad rate; BR: Breast rate; TR: Thigh rate.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eDR=Dressed weight/live body weight; HR=Half-eviscerated weight/live body weight; ER=Eviscerated weight/live body weight; FR=Fat pad weight/dressed weight; BR=Breast weight/eviscerated weight; TR=Thigh weight/eviscerated weight.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003e\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was regarded as significant and 0.05\u0026lt;P\u0026lt;0.1 as a trend.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea-d\u003c/sup\u003eDissimilar letters represent significant difference among different treatments (P\u0026lt;0.05).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 7 Effects of amino acid combinations with different patterns on carcass characteristic of AA broilers (female)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003eDR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003eHR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003eER, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003eFR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003eBR, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eTR, %\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"28.54984894259819%\" colspan=\"2\"\u003e\n \u003cp\u003eLys\u0026amp;Arg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e93.478\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e87.901\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e75.945\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e27.737\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.796\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e93.712\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e88.142\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e75.837\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.558\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e25.809\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.668\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eL\u0026amp;A(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e93.031\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e87.581\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e75.164\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.918\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e26.891\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e18.733\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eL\u0026amp;A(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n 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width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.514\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.116\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e0.318\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e0.453\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.538\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.594\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e0.102\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"28.54984894259819%\" colspan=\"2\"\u003e\n \u003cp\u003eMet\u0026amp;Cys\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eCon(+)\u003c/p\u003e\n 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width=\"12.83987915407855%\"\u003e\n \u003cp\u003e3.090\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e25.851\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e20.079\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eM\u0026amp;C(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e92.246\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e87.354\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e74.784\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e3.176\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n 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width=\"14.19939577039275%\"\u003e\n \u003cp\u003e93.478\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e87.901\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e75.945\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.275\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e27.737\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.796\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eCon(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e93.712\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e88.142\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e75.837\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.558\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e25.809\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.668\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eThr(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e93.614\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e88.335\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e75.387\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e3.199\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e23.690\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.671\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eThr(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e92.996\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e86.958\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e74.095\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e3.041\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e22.847\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e20.102\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e0.297\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.402\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.489\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.658\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e0.539\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e0.369\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e0.946\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"28.54984894259819%\" colspan=\"2\"\u003e\n \u003cp\u003eTrp\u003c/p\u003e\n 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width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.558\u003csup\u003ebc\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e25.809\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.668\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eTrp(-)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e94.016\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e89.150\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e76.084\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e3.194\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e23.823\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e19.568\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eTrp(+)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e92.772\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e86.802\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e74.376\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e2.89\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e25.077\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e18.841\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e0.345\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.568\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.531\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.123\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.402\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e0.414\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-Value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.19939577039275%\"\u003e\n \u003cp\u003e0.118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.074\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.709969788519638%\"\u003e\n \u003cp\u003e0.151\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.83987915407855%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.350453172205437%\"\u003e\n \u003cp\u003e0.429\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eCon(+): the Normal-protein Control group; Con(-): the Low-protein Control group; L\u0026amp;A(-): the Lysine and Arginine restriction group; L\u0026amp;A(+): the Lysine and Arginine supplementation group; M\u0026amp;C(-): the Methionine and Cysteine restriction group; M\u0026amp;C(+): the Methionine and Cysteine supplementation group; BCAA(-): the BCAA restriction group; BCAA(+): the BCAA supplementation group; Thr(-): the Threonine restriction group; Thr(+): the Threonine supplementation group; Trp(-): the Tryptophan restriction group; Trp(+): the Tryptophan supplementation group; DR: Dressing rate; HR: Half-eviscerated rate; ER: Eviscerated rate; FR: Fat pad rate; BR: Breast rate; TR: Thigh rate.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eDR=Dressed weight/live body weight; HR=Half-eviscerated weight/live body weight; ER=Eviscerated weight/live body weight; FR=Fat pad weight/dressed weight; BR=Breast weight/eviscerated weight; TR=Thigh weight/eviscerated weight.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003e\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05 was regarded as significant and 0.05\u0026lt;P\u0026lt;0.1 as a trend.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea-d\u003c/sup\u003eDissimilar letters represent significant difference among different treatments (P\u0026lt;0.05).\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"643\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 7 Evaluation score of important shared differential metabolites in four treatments\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.7196261682243%\" rowspan=\"2\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.8411214953271%\" colspan=\"3\"\u003e\n \u003cp\u003eNP vs LP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.439252336448597%\" colspan=\"3\"\u003e\n \u003cp\u003eLPAB vs LPAI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"14.690721649484535%\"\u003e\n \u003cp\u003eVIP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.587628865979383%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.010309278350515%\"\u003e\n \u003cp\u003eFC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"14.690721649484535%\"\u003e\n \u003cp\u003eVIP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.010309278350515%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.010309278350515%\"\u003e\n \u003cp\u003eFC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eOxypurinol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.522\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.241\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.987\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.420\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003ePantothenic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.513\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e20.226\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.055\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e10.359\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eD-Octopine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.529\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.170\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.923\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.328\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eXanthine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.519\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.937\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.348\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e6-Tuliposide B\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.522\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.188\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.835\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.455\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eUridine 5\u0026apos;-monophosphate (UMP)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.454\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e8.165\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e2.098\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eThiamine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.352\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.298\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.028\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.242\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eN-(4-Hydroxyphenyl)glycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.406\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.212\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003ePyridoxal (Vitamin B6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.406\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.202\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.212\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e5\u0026apos;-Phosphoribosylglycinamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.446\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.154\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eGly-His\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.479\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.042\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.111\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e1-Palmitoyl-2-arachidonoyl-sn-glycero-3-phosphoserine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.463\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e19.560\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.751\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e3.283\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eChenodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.451\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eDeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.451\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eHyodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.451\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eIsodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.451\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eUrsodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.451\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.019\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.214\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eArachidonic acid (AA)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.356\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.020\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.112\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.827\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.288\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e4-Amino-4-deoxychorismate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.486\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.145\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.922\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.296\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e2-Piperidone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.217\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.030\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.296\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.418\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eD-galacto-Hexodialdose\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.491\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.085\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.933\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.096\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eN-Oleoyl glycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.502\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.674\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.065\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eN-Oleoylglycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.502\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.018\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.674\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.065\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eLinoleoylglycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.459\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.716\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.040\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e1-Stearoyl-2-arachidonoyl-sn-glycero-3-phosphoserine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.448\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e11.546\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.767\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e2.929\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e5-Tetradecynoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.487\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.010\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.143\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eHygric acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.186\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.091\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003ePipecolic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.265\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.186\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.091\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e2-Oxo-4-phosphonobutanoate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.499\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.935\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.280\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eM345T195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.532\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.850\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.042\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eDephospho-CoA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.405\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e29.684\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.859\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e7.405\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eM368T281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.510\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.053\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.050\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.097\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003ePantetheine 4\u0026apos;-phosphate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.309\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e21.895\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e14.229\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eEglumegad\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.485\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.277\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.878\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.438\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eN-Arachidonylglycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.422\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.795\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eN-Acetylmannosamine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.502\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.897\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.353\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003ePyridoxamine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.484\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.205\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.834\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.267\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eGoralatide (acetate)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.491\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.056\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.103\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.090\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eN-Acetylglucosaminylasparagine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.524\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e6.893\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e3.925\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003e3-beta-D-Galactosyl-sn-glycerol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.406\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.985\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.015\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eM730T215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.413\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e17.590\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.730\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.023\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e15.166\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eAcetyl-CoA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.365\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e18.480\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.814\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e7.012\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.657853810264385%\"\u003e\n \u003cp\u003eM374T236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e1.478\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.81959564541213%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.036\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.864696734059098%\"\u003e\n \u003cp\u003e2.135\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.26438569206843%\"\u003e\n \u003cp\u003e0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet; VIP: variable importance in the projection scores; FC: Fold change; AUC: Area under the curve.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eVolcano plot analysis provides the \u003cem\u003eP\u003c/em\u003e-value, which is a combination of the fold change and T-test analyses.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003eFC= LP relative quantitation/ NP relative quantitation and LPAI relative quantitation/LPAB relative quantitation.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"964\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"11\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 8 Relative quantitation of important shared differential metabolites in four treatments\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eNP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eLP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eQD-value\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eNP/LP\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eLPAB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eLPAI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eQD-value\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eLPAB/LPAI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eOxypurinol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e85.757\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e20.700\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e13.192\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e65.057\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e41.469\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e17.410\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e5.638\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e24.059\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003ePantothenic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.326\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e3.377\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.683\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-3.051\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.390\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e7.888\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e1.624\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-7.498\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eD-Octopine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e5.678\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.964\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.713\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e4.713\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e2.919\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.958\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.603\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.961\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eXanthine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e3.017\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.323\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.660\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e2.695\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.758\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.264\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.132\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.494\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e6-Tuliposide B\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e2.199\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.413\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.310\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.785\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.019\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.463\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.170\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.556\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eUridine 5\u0026apos;-monophosphate (UMP)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.168\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.375\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.175\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-1.207\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.641\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.345\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.276\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.704\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eThiamine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.913\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.272\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.211\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.640\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.939\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.227\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.128\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.712\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eN-(4-Hydroxyphenyl)glycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.113\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.225\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.268\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.888\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.671\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.142\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.072\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.529\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003ePyridoxal (Vitamin B6)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.113\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.225\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.268\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.888\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.671\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.142\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.072\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.529\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e5\u0026apos;-Phosphoribosylglycinamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.722\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.111\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.239\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.611\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.050\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.087\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.327\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.963\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eGly-His\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.051\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.044\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.255\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.008\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.779\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.022\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.190\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.757\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e1-Palmitoyl-2-arachidonoyl-sn-glycero-3-phosphoserine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.038\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.744\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.099\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.706\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.251\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.824\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.223\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.573\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eChenodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.650\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.031\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.459\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.619\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.087\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.068\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eDeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.650\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.031\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.459\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.619\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.087\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.068\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eHyodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.650\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.031\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.459\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.619\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.087\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.068\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eIsodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.650\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.031\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.459\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.619\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.087\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.068\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eUrsodeoxycholic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.650\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.031\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.459\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.619\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.087\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.019\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.068\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eArachidonic acid (AA)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e1.138\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.128\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.370\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e1.010\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.394\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.114\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.107\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.281\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e4-Amino-4-deoxychorismate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.922\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.134\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.142\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.788\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.384\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.113\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.081\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.270\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e2-Piperidone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.590\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.175\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.198\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.416\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.286\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.119\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.065\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.166\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eD-galacto-Hexodialdose\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.548\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.046\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.094\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.502\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.439\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.042\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.114\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.397\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eN-Oleoyl glycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.834\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.007\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.293\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.827\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.108\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.007\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.025\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.101\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eN-Oleoylglycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.834\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.007\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.293\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.827\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.108\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.007\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.025\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.101\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eLinoleoylglycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.786\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.004\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.235\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.781\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.144\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.006\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.040\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.138\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e1-Stearoyl-2-arachidonoyl-sn-glycero-3-phosphoserine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.031\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.361\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.050\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.330\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.127\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.373\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.081\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.246\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e5-Tetradecynoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.527\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.055\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.116\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.472\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.205\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.029\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.061\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.176\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eHygric acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.268\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.050\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.089\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.218\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.346\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.124\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.314\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003ePipecolic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.268\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.050\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.089\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.218\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.346\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.124\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.314\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e2-Oxo-4-phosphonobutanoate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.322\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.043\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.074\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.279\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.133\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.037\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.096\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eM345T195\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.295\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.046\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.290\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.128\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.003\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.058\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.126\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eDephospho-CoA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.007\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.203\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.045\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.196\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.016\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.116\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.029\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.100\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eM368T281\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.195\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.010\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.044\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.185\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.104\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.010\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.094\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003ePantetheine 4\u0026apos;-phosphate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.007\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.153\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.035\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.146\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.009\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.124\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.036\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.116\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eEglumegad\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.115\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.032\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.023\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.083\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.064\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.028\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.011\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.036\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eN-Arachidonylglycine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.159\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.051\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.158\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.052\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.015\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.050\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eN-Acetylmannosamine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.136\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.017\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.027\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.119\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.028\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.014\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.014\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003ePyridoxamine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.101\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.022\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.018\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.079\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.052\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.018\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.011\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.033\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eGoralatide (acetate)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.081\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.016\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.014\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.064\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.062\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.017\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.017\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.046\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eN-Acetylglucosaminylasparagine\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.070\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.004\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.018\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.066\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.026\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.006\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.024\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003e3-beta-D-Galactosyl-sn-glycerol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.004\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.026\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.004\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.022\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.006\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.022\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.016\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eM730T215\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.021\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.000\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.006\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.021\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.000\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eAcetyl-CoA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.000\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.000\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"26.4797507788162%\"\u003e\n \u003cp\u003eM374T236\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.000\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.003\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.000\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.003\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.001\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.853582554517134%\" valign=\"top\"\u003e\n \u003cp\u003e0.005\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"5.919003115264798%\" valign=\"top\"\u003e\n \u003cp\u003e0.002\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\" valign=\"top\"\u003e\n \u003cp\u003e-0.004\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.826583592938734%\"\u003e\n \u003cp\u003eup\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet; QD-value: quantitation D-value.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eQD-value=NP relative quantitation \u0026ndash; LP relative quantitation and LPAB relative quantitation \u0026ndash; LPAI relative quantitation.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003eThe variation tendency of metabolites was specified as NP/LP\u0026gt;1 means up; NP/LP\u0026lt;1 means down; LPAB/LPAI\u0026gt;1 means up; LPAB/LPAI\u0026lt;1 means down.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"7\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 9 Evaluation score of important shared differential metabolic pathways in four treatments\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"43.975903614457835%\" rowspan=\"2\"\u003e\n \u003cp\u003emetabolic pathways\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"28.6144578313253%\" colspan=\"3\"\u003e\n \u003cp\u003eNP vs LP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.40963855421687%\" colspan=\"3\"\u003e\n \u003cp\u003eLPAB vs LPAI\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.633423180592992%\"\u003e\n \u003cp\u003ePercent, %\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.78975741239892%\"\u003e\n \u003cp\u003eRF\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.78975741239892%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.78975741239892%\"\u003e\n \u003cp\u003ePercent, %\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.20754716981132%\"\u003e\n \u003cp\u003eRF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.78975741239892%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eABC transporters\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e4.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.188\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e3.846\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eNucleotide metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e6.849\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.167\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e7.692\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003ePantothenate and CoA biosynthesis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e8.219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.158\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e7.692\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eFatty acid biosynthesis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e6.849\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.156\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e5.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eGlutathione metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e9.589\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e13.462\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eBiosynthesis of cofactors\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e4.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.130\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e3.846\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.087\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.032\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eThiamine metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e4.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.097\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e5.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.097\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003ebeta-Alanine metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e16.438\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.087\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e23.077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.087\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003ePyrimidine metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e6.849\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e9.615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003ePurine metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e4.110\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.081\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e5.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.081\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.010\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eStarch and sucrose metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e5.479\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.083\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e5.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.021\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eOxidative phosphorylation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e8.219\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.094\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e5.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.044\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eGlycine, serine and threonine metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e10.959\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.079\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e9.615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.050\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eMetabolic pathways\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e5.479\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e7.692\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.008\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eLysine degradation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e5.479\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.071\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e5.769\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.054\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.031\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eArginine biosynthesis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e23.288\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.052\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e19.231\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.030\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.006\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"44.042232277526395%\"\u003e\n \u003cp\u003eGlyoxylate and dicarboxylate metabolism\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.74811463046757%\"\u003e\n \u003cp\u003e90.411\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.022\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e84.615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.390648567119156%\"\u003e\n \u003cp\u003e0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.95475113122172%\"\u003e\n \u003cp\u003e0.031\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eNP: Normal CP diet; LP: Low-CP diet; LPAB: Low-CP amino acid balance diet; LPAI: Low-CP amino acid imbalance diet; RF: Rich factor.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003epercent= Percent of the number of differential metabolites in a pathway to the number of all differential metabolites in the sample.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003eRF= The ratio of the number of differential metabolites to the number of all metabolites in the same pathway.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"11\"\u003e\n \u003cp\u003e\u003cstrong\u003eTable 10 Evaluation score and relative quantitation of common amino acid metabolites in four treatments\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eEvaluation score\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.884661117717002%\" rowspan=\"2\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.473246135552913%\" colspan=\"3\"\u003e\n \u003cp\u003eNP vs LP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.802615933412604%\" colspan=\"3\"\u003e\n \u003cp\u003eLPAB vs LPAI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.777645659928656%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.777645659928656%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.107015457788346%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.17717003567182%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"8.131241084165477%\"\u003e\n \u003cp\u003eVIP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.841654778887303%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.131241084165477%\"\u003e\n \u003cp\u003eFC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.125534950071327%\"\u003e\n \u003cp\u003eVIP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.841654778887303%\"\u003e\n \u003cp\u003e\u003cem\u003eP\u003c/em\u003e-value\u003csup\u003e1\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.131241084165477%\"\u003e\n \u003cp\u003eFC\u003csup\u003e2\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.131241084165477%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.131241084165477%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.125534950071327%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.40941512125535%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eUric acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e1.092\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e0.029\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e1.963\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e0.844\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e0.107\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e1.270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eUrea\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e1.270\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e2.179\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e0.135\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e0.804\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e1.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eRelative quantitation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eItem\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003eNP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003eLP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003eQD-value\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003eNP/LP\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003eLPAB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003eLPAI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003eSEM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003eQD-value\u003csup\u003e3\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003eLPAB/LPAI\u003csup\u003e4\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eUric acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e5.618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e11.027\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e1.199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e5.410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e5.787\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e7.349\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e0.483\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e1.562\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"16.844602609727165%\"\u003e\n \u003cp\u003eUrea\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e0.005\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.015421115065243%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e0.009\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.761565836298932%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.083036773428233%\"\u003e\n \u003cp\u003e0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.150652431791222%\"\u003e\n \u003cp\u003edown\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003csup\u003e1\u003c/sup\u003eVolcano plot analysis provides the \u003cem\u003eP\u003c/em\u003e-value, which is a combination of the fold change and T-test analyses.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e2\u003c/sup\u003eFC= LP relative quantitation/ NP relative quantitation and LPAI relative quantitation/LPAB relative quantitation.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e3\u003c/sup\u003eQD-value=NP relative quantitation \u0026ndash; LP relative quantitation and LPAB relative quantitation \u0026ndash; LPAI relative quantitation.\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e4\u003c/sup\u003eThe variation tendency of metabolites was specified as NP/LP\u0026gt;1 means up; NP/LP\u0026lt;1 means down; LPAB/LPAI\u0026gt;1 means up; LPAB/LPAI\u0026lt;1 means down.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-animal-science-and-biotechnology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jasb","sideBox":"Learn more about [Journal of Animal Science and Biotechnology](http://jasbsci.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/jasb/default.aspx","title":"Journal of Animal Science and Biotechnology","twitterHandle":"@animalplantsci","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"low-protein diet, essential amino acid, amino acid balance, Metabolomics, biomarks","lastPublishedDoi":"10.21203/rs.3.rs-4459556/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4459556/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e The researches on low-protein-level diets (LPD) indicated that even the profiles of essential amino acids (EAA) follow the recommendation for the normal-protein-level diets (NPD), broilers fed low-protein diets failed to achieve comparable productive performance as those fed with normal diets. Therefore, it is imperative to reassess the optimum profile of EAAs in low-protein diets and establish a new ideal pattern for amino acid balance. Furthermore, finding novel sensitive biomarkers for assessing amino acid balance will greatly facilitate the development of amino acids nutrition and application technology. In this study, twelve dietary treatments (Con(+), Con(-), L\u0026amp;A(-), L\u0026amp;A(+), M\u0026amp;C(-), M\u0026amp;C(+), BCAA(-), BCAA(+), Thr(-), Thr(+), Trp(-) and Trp(+)) were established by combining different EAAs including Lysine and Arginine, methionine and Cysteine, branched-chain amino acid (BCAA), threonine and tryptophan in order to observe the growth and development of the broiler chickens fed with low-protein-level diets. Based on biochemical parameters and metabolomics analysis from animals subjected to different treatments, were conducted to identify biomarkers associated with optimal and suboptimal amino acid balances.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003eThe growth performance, carcass characteristic, hepatic enzyme activities, serum biochemical parameters, and breast muscle mRNA expression showed significant differences between male and female broilers under different dietary amino acid patterns. Male broilers exhibited higher sensitivity to the adjustment of amino acid patterns compared to female broilers. For the low-protein diet, it was indicated that the dietary concentrations of lysine, arginine, and tryptophan were needed to be increased while not for the methionine, cystine, and threonine concentrations. Further research is needed on each individual BCAA. For metabolomic analysis, Con(+) was selected as a normal diet (NP) while Con(-) represented a low-protein diet (LP). L\u0026amp;A(+) denoted a low-protein amino acid balanced diet (LPAB) and Thr(+) represented a low-protein amino acid imbalance diet (LPAI). Metabolites oxypurinol, pantothenic acid, and D-octopine in the birds were significantly influenced by the different dietary amino acid paterns.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eAdjusting the profile of amino acids in low-protein diets is required to obtain normal growth performance of broiler chickens as fed with normal-protein-level diets. Oxypurinol, pantothenic acid, and D-octopine were identified as potential sensitive biomarkers for assessing amino acid balance.\u003c/p\u003e","manuscriptTitle":"Assessment of the dietary amino acids profiles and the relative biomarkers for amino acids balance in the low-protein diets for broiler chickens","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-14 18:34:38","doi":"10.21203/rs.3.rs-4459556/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2024-09-05T21:53:38+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2024-06-24T04:40:46+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-05-30T07:43:16+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-24T08:35:07+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Animal Science and Biotechnology","date":"2024-05-23T05:17:06+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-animal-science-and-biotechnology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jasb","sideBox":"Learn more about [Journal of Animal Science and Biotechnology](http://jasbsci.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/jasb/default.aspx","title":"Journal of Animal Science and Biotechnology","twitterHandle":"@animalplantsci","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e034f362-b572-4952-8832-3f71510a915b","owner":[],"postedDate":"June 14th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-11-18T19:16:36+00:00","versionOfRecord":{"articleIdentity":"rs-4459556","link":"https://doi.org/10.1186/s40104-024-01108-2","journal":{"identity":"journal-of-animal-science-and-biotechnology","isVorOnly":false,"title":"Journal of Animal Science and Biotechnology"},"publishedOn":"2024-11-14 15:57:53","publishedOnDateReadable":"November 14th, 2024"},"versionCreatedAt":"2024-06-14 18:34:38","video":"","vorDoi":"10.1186/s40104-024-01108-2","vorDoiUrl":"https://doi.org/10.1186/s40104-024-01108-2","workflowStages":[]},"version":"v1","identity":"rs-4459556","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4459556","identity":"rs-4459556","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}