Analysis and comparison of blood metabolome of forest musk deer in musk secretion and non- secretion periods

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The musk synthesis process in forest musk deer is extremely complex, and many raw materials are directly or indirectly derived from forest musk deer blood.In this study, metabolomics was used to analyze the blood of forest musk deer in secretory and non-secretory phases for the first time, aim at explaining the secretion mechanism from the perspective of blood metabolism. We found that P450-related, choline-related, axonal regeneration and other pathways and related metabolites were significantly enriched during the musk secretion of forest musk deer. These pathways and metabolites related to P450 and choline in blood may have important implications for the mechanism of musk secretion in forest musk deer, because blood components were closely related to musk components and could provide raw materials for musk synthesis in musk gland cells. Biological sciences/Biochemistry/Metabolomics Biological sciences/Biochemistry blood components metabolomics musk secretion Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction Forest musk deer (Moschus berezovskii) (FMD), also known as musk deer, are the smallest musk deer species and are mainly found in China. They inhabit forests at an altitude of 2400‒3800 m, mainly broad-leaved, coniferous, and mixed coniferous and broad-leaved forests in low mountainous areas. FMD prefers to live in mixed coniferous and broadleaved forests with high relative humidity. Habitat reduction and indiscriminate hunting have endangered wild FMD populations [1]. Owing to the sharp decline in the number of wild FMD in China, on October 24, 2002, all FMDs were reclassified from national second-class to national first-class protected wild animals [2]. During the estrous season, FMD attract females by secreting musk [3]. Secreted musk can help male FMD maintain relationships with specific female FMD, thereby providing opportunities for proliferation of the population and improving their quality of life. In addition, these secreted musks can inhibit the entry of other species, establish certain territories, resist attacks by hostile species, and communicate socially to deter other populations, thereby maintaining the balance of the population [4]. Secreted musks also provide considerable physiological information, such as the sex, age, and physical state of FMD, as well as the local environmental conditions [3]. Musk is secreted by the musk glands of male FMD and contains extremely complex components, mainly macrocyclic ketones, pyridines, steroids, and other alkaloids, as well as polypeptide proteins, fatty acids, esters, and inorganic acids [5]. The synthesis mechanism of various components in musk is unclear, which greatly affects our understanding of the musk formation process. The mechanism of musk synthesis has been studied from several perspectives, including the anatomical and tissue structure of the musk sac [6], the regulation of sex hormones on musk secretion [7], and genetic diversity of musk-related genes in FMD [8]. However, studies on the regulatory mechanisms of musk synthesis are limited. Blood is difficult to obtain because of the stress caused to FMDs. To the best of our knowledge, with the aim of understanding FMD secretion physiological condition, this is the first analysis of FMD blood metabolites that fills an important knowledge gap in this field. The raw materials required for musk synthesis are mainly obtained from the blood supply; therefore, blood metabolites in the secretion phase are critical for musk synthesis. Metabolomics can qualitatively and quantitatively analyze all the low-molecular-weight metabolites in certain organisms, tissues, and cells [9]. In this study, the differentially metabolites identified via serum metabolomics were analyzed during musk secretion and non-secretion periods. Several pathways and metabolites with the highest proportion of expression were annotated to determine the complex metabolic network between blood metabolites and the musk synthesis process in FMD, thereby providing a basis for exploring the related mechanism of blood metabolites in the musk formation process. Methods Blood sample collection The FMD used in the experiment are from the Hebei Huailai Breeding Base. The base is located in Xinglinbao Village, Wangjialou, Huailai County, Hebei Province. There are more than 300 closed shelters and more than 200 FMD are kept in captivity. The main diets of FMD are leaves, including apricot leaves, elm leaves, ailanthus leaves, birch leaves, as well as dandelions and Houttuynia cordata. All 10 FMDs were maintained in the same captive environment with the same diet and sanitation standards. This study was approved by the Ethics Committee of Beijing Forestry University, Beijing, China; Zhiyangtianbao Biological Science and Technology Ltd, Huailai, China (which managed the sampled FMD). The study was conducted in accordance with the recommendations of the Institutional Animal Ethics and Care Committee of the Beijing Forestry University. All experimental procedures were performed with the assistance of the local veterinarians. This blood collection method has been proven to be simple, safe and reliable, and has little impact on the animals after the blood collection. The FMD involved in this study are all kept in captivity and are privately owned by operators in the artificial breeding industry, but their trades and breeding licenses are supervised by the Forestry Bureau. Male FMD secretes musk from May to July every year [10], in this period many of its daily behaviors and habits tend to decrease or disappear, such as food intake being reduced or even stopped [11], and the amount of time spent on lying and resting is increased, but it is still active during peak activity hours. During activities, FMD moves less, stands more, looks numb, and stands blankly. There are occasional defecation movements, but no feces are discharged, it also licks the vagina more frequently [12]. In terms of physiological manifestations, the testicles and scrotum of male FMD are swollen and drooping, the scent glands are enlarged and clearly visible, and the musk fragrance overflows and has a fragrant smell [11]. Based on the above status, it can be judged that the FMD has entered the stage of secretion. Before preparing for blood collecton, first the FMD was driven into a small enclosure 1-2 hours in advance, then the FMD was driven into a capture wooden box through the special false door with holes, and the veterinarian should hold its hind legs with both hands, lift up the lower leg below the accessory joint, grasp its hind leg with left hand, twist FMD on the left side, and grab the front leg below the wrist joint with right hand, then places the right side of the FMD flat on the veterinarian's thigh, paying attention to prevent compress the heart and rumen while the veterinarian sits on a small wooden stool 30-40 cm high. The assistant should hold FMD’s head to prevent its fangs from hurting people when its head shook for struggling. At the same time, the assistant should cover the eyes of FMD with a piece of cloth, but be careful not to cover the nose, because this would affect the FMD's breathing. We collected blood samples from 10 FMDs at the Hebei Huailai Breeding Base during musk secretion and non- secretion periods in April and June in 2022. FMD are wild animals, but the blood collected in this study came from captive populations. The blood collector collects blood from the veins of the forelimbs of FMD. the assistant holds the FMD, then the blood collector straightens the lower limb of the FMD with his left hand to fill the veins. Or use the pulse as an indicator and insert a syringe into the blood vessel with your right hand. One to two milliliters of venous blood was extracted from each FMD using disposable sterile syringes. All fresh blood samples were collected in test tubes containing ethylenediaminetetraacetic acid then stored in liquid nitrogen. Metabolite extraction The liquid chromatography tandem-mass spectrometry (LC-MS/MS) system for the metabolomic analysis consisted of a Waters Acquity I-Class PLUS ultra-high performance liquid tandem Waters Xevo G2-XS QTof high-resolution mass spectrometer. The column was purchased from Waters Acquity UPLC HSS (T3 column, 1.8 um, 2.1 × 100 mm). The following solutions were used for the positive ion mode: mobile phase A: 0.1% formic acid aqueous solution; mobile phase B: 0.1% formic acid acetonitrile. For negative ion mode the following solutions were used: mobile phase A: 0.1% formic acid aqueous solution; mobile phase B: 0.1% formic acid acetonitrile. The injection volume was 1 μL. LC-MS/MS analysis We used a Waters Xevo G2-XS QTOF high-resolution mass spectrometer to collect primary and secondary mass spectrometry data in MSe mode under the control of acquisition software (MassLynx V4.2, Waters). In each data acquisition cycle, we performed dual-channel data acquisition simultaneously at both low and high collision energies. The low collision energy range was 2 V, the high collision energy range was 10‒40 V, the scanning frequency for a mass spectrum was 0.2 s. The parameters of the electrospray ionization source were as follows: cone voltage: 30 V; Capillary voltage: 2000 V (positive ion mode) or -1500 V (negative ion mode); ion source temperature: 150 °C; backflush gas flow rate: 50 L/ h; desolventizing gas flow rate: 800 L/h; desolvent gas temperature 500 °C. Data preprocessing and annotation For peak extraction, peak alignment, and other data processing operations, the raw data collected by MassLynx V4.2 were processed using Progenesis QI software. Based on Progenesis QI software, online METLIN database and Biomark’s self- built library were used for identification. The theoretical fragment identification and mass deviation were within 100 ppm. Data analysis The original peak area information was normalized to the total peak area for subsequent analysis. We used principal component analysis and Spearman’s correlation analysis to assess the repeatability of the samples within the group and the quality control samples. All the identified compounds were classified and searched for pathway information in the Kyoto Encyclopedia of Genes and Genomes (KEGG), Human Metabolome Database (HMDB), and LipidMaps databases. The difference multiples were calculated and compared, and the statistical significance (p-value) of the difference of each compound was calculated by the t-test. The orthogonal projections structure-discriminant analysis (OPLS-DA) modeling was orthogonally projected using the R language package “ropls,” and 200 permutation tests were performed to verify the reliability of the model. We used multiple cross-validations to calculate the variable importance in the projection (VIP) value of the model. The differential metabolites were screened by the combination of OPLS-DA model, p-value, and VIP value. The screening criteria were p-value 1, and VIP > 1. The hypergeometric distribution test was used to calculate the differences in metabolites with significant KEGG pathway enrichment. Results Metabolomics analysis In the default mode, we identified 16847 peaks, from which 4941 annotated metabolites were extracted. Figure 1-1 shows that two groups of samples generally showed significant differences in their characteristics. The metabolite contents during the non-secretion period were relatively similar, while the metabolite contents during the secretion period varied significantly. In the secretion period, 1298 metabolites were upregulated and 987 metabolites were downregulated significantly; the increase was generally greater than the decrease (which showed in Figure 1-2 ). The reliability of the results was determined because the FC values were generally high. Figure 1-2 shows the annotation characteristics of the five most important significantly upregulated compounds in the volcanic map, i.e., 5-oxoavermectin "1a" aglycone, threonate, N-acetyl-L- glutamate, diplosporin, which increased significantly from the non-secretion period to the secretion period. Figure 2 shows the top 10 metabolites with the smallest pvalue. Among the up-regulated metabolites, N-Acetyl-L-glutamate has the most significant increase; among the down-regulated metabolites, undecylenic acid has the most significant decrease. Pathway analysis The metabolic pathways most strongly related to the differences between the musk non-secretion and secretion periods of FMD are shown in Figure 3-1 . The relationships between the five most significant metabolic pathways and annotated differential metabolites are shown in Figure 3-2 . Among the pathways with the highest up-regulated abundance, we mainly focus on the following three categories of pathways: P450-related pathways, choline-related pathways and axon regeneration, because these three categories of pathways are most obviously related to the musk secretion mechanism of FMD. P450 related pathways include the following two: drug metabolism - cytochrome P450, which involves several significant metabolites (5-Hydroxyvalproic acid, etc. see in Figure 4-1 ), another one is metabolism of xenobiotics by cytochrome P450, in which the important metabolite (1aalpha,2beta,3alpha,11calpha)-1a,2,3,11c-Tetrahydro-6,11-dimethylbenzo[6,7]phenanthro[3,4-b]oxirene-2,3-diol) upregulated significantly ( Figure 4-2 ). Despite P450-related pathway, another two choline-related pathways also worth attention: choline metabolism in cancer, in which choline, choline phosphate, and glycerophosphocholine are significantly up-regulated ( Figure 5-1 ), these metabolites are also enriched in pathway glycerophospholipid metabolism ( Figure 5-2 ). Finally, there is axon regeneration, in which Anandamide and 5-Hydroxy-L-tryptophan are significantly increased ( Figure 6 ). Discussion Analysis of the physiological and chemical bases of musk secretion mechanisms has become an important issue in musk research; however, current understanding of related factors remains limited, particularly the connection between musks and blood metabolites [13]. Based on the hypothesis that musk secretion by FMD is related to a series of different metabolic processes [7], metabolomics may be a valuable tool for improving our understanding of the complex mechanism of musk secretion. To the best of our knowledge, this is the first research to use high-throughput metabolomics to study musk secretion from FMD. According to the KEGG functional annotation and differential metabolite enrichment analysis, we found that the following significantly enriched pathways deserve focused discussion. We focus on the two pathways related to P450, drug metabolism - cytochrome P450 and metabolism of xenobiotics by cytochrome P450, because Cytochrome P450 plays an important role in the secretion of forest musk deer [14]. Two choline-related pathways also worth discussion, because choline plays an important role in cancer-related pathways, and the similarity between cancer and musk secretion has been focused on [8]. Axon regeneration also worth discussion, because we think it is potentially related to the abnormal behavior of forest musk deer when secreting musk [15]. Cytochrome P450 (CYP450) belongs to a large family of self-oxidizing heme proteins [14]. Drug metabolism-cytochrome P450 and the metabolism of xenobiotics by cytochrome P450 pathways were significantly enriched in the serum of musk deer during the musk secretion period, indicating that in the synthesis of male hormones (i.e., C19 steroids) in musk components, P450 in the blood during the musk secretion period may have played a role in the further modification or transformation of its precursors. As a terminal oxygenase, P450 is involved in sterol synthesis. We found that in the drug metabolism-cytochrome P450 metabolic pathway, there was significant enrichment of several branches, such as methadone, tamoxifen, felbamate, and valproic acid. The basic function of eukaryotic class I enzymes in the P450 family is related to the mitochondrial inner membrane, which catalyzes several steps in steroid hormone and vitamin D biosynthesis [14]. In animals, it has many physiological functions in the biosynthesis and catabolism of signaling molecules, lipid oxides, and steroid hormones [14]. Previous studies have shown that P450 plays a role in the metabolism of xenobiotics and endogenous substrates involved in the metabolism of steroids, fatty acids, prostaglandins, and even ketones [16]. It can be speculated that the high P450 pathway activity of musk deer during the musk secretion period may be closely related to the synthesis of musk ketone, cyclopentadecanone, cholesterol, 3a-hydroxy-5b-androstane-17-one, cholesterol, 1,2-cyclododecanediol, and other musk components. Previous studies have found that several important steroid oxidation reactions occur in mitochondria, including the steroid oxidation reaction catalyzed by cholesterol side chain lyase (now known as P450 11A1), which initiates the entire process of steroid production [17]. This suggests that the synthesis of steroids, the most important major component of musk, may be significantly affected by P450-related pathways ( Figure 4 ). Notably, several studies have examined the role of cytochrome P450 in herbal plants. Plants and animals share common metabolic pathways and secondary metabolites at the cellular level. Using in vitro and in vivo methods, previous studie have identified many herbs and natural compounds isolated from herbs as substrates, inhibitors, and/or inducers of cytochrome P450 enzymes [18]. Moreover, the regulation of CYPs in animals by herbal products appears to be complex, depending on the type, dosage, administration route, target organs, and species [20]. Recent studies have shown that feeding Chinese herbal medicines to FMD can supplement their nutrition [19]. Therefore, the association between herbal medicine and P450 may provide an optimization strategy for the nutrition of FMD and improving their aroma secretion ability. Owing to the rapid proliferation of aromatic cells during the rapid growth period of the gland, this process is similar to that in malignant tumors. Therefore, some researchers have regarded it as cancer-like growth [8]. The gradual growth of muscle glands from the non-secretion period to the secretion period requires cytokines to closely regulate cell growth. We found that the Choline metabolism in cancer ( Figure 5-1 ) and glycerophospholipid metabolism ( Figure 5-2 ) were significantly enriched during aroma secretion. Among these, the concentrations of choline, phosphocholine, gel permeation chromatography (GPC), and 3-(O-geranylgeranyl)-sn-glycerol 1-phosphate metabolites were significantly increased ( Figure 5 ), which may have been positively correlated with gland growth. Choline is an essential nutrient that plays important roles in cellular metabolism and normal function [20; 21]. The liver is the central organ responsible for choline metabolism. Many studies have emphasized the importance of glycerophosphocholine in cancer [22]. Active enzymes in the GPC degradation pathway are often overexpressed in cancer cells, and may cause cancer cell proliferation, migration, and invasion [23]. The decrease in the activity of the ferroptosis pathway observed in this study ( Figure 3-1 ) may also have been related to this phenomenon. Upregulation of the axon regeneration pathway can explain the musk-secreting behavior of FMD. Our experiments revealed that metabolites such as anandamide and oxitriptan were significantly enriched ( Figure 6 ). Anandamide affects sleep and eating patterns, enhances happiness, and relieves pain [24]. Oxitriptan reduces food intake in rats, and slows food intake and improves exercise performance in dogs [15]. Previous studies have shown that estrogen induces precocious axonogenesis in the developing rat brain [25]. It can be speculated that these neuromodulatory metabolites increase the degree of stress during the estrous period in FMD, which is closely related to high alertness and reduced eating behavior during the secretion period [26]. Previous studies have shown that bile volume in male musk deer is negatively correlated with musk secretion; the greater the stress, the smaller the bile volume of the FMD [27]. Therefore, it can be speculated that the axon regeneration pathway promotes musk secretion by enhancing stress and reducing the bile volume in FMD. Due to the protection level of forest musk deer and the vulnerability to panic stress, it is difficult to take blood samples, so the amount of samples we obtained is small, which is not enough to support more in-depth analysis. On the one hand, metabolomics studies on blood only locate the pathways vaguely with abnormal expression in the secretory phase and some metabolic components. Revealing the secretion mechanism requires more targeted localization experiments for specific metabolites in these metabolic pathways. On the other hand, due to the wide range of labeled metabolites and pathways in metabolomics, we could not explain the correlation between all the significantly changed pathways and musk secretion of forest musk deer. However, we still present these results in the text, rather than omitting them in order to prevent induced argument. It is very important to reveal the secretion mechanism of forest musk deer, because it helps to alleviate the protection pressure caused by the use of musk on forest musk deer by restoring the incense production process in vitro. If a library of musk components of forest musk deer can be established, and then a transformation path library can be established, and then compared with the metabolomics components involved in this work, then, even through the enumeration method, a complex interactive relationship between the blood metabolite group and the musk component group can be accurately established. Conclusion Non-targeted metabolomics provide valuable information on metabolic pathways, which may be an important supplement for explaining the mechanisms of musk secretion in FMD. Drug metabolism-cytochrome P450 and metabolism of xenobiotics by cytochrome P450 pathways appeared to play central roles in musk secretion. Pathways such as choline metabolism in cancer have verified the commonality between scent gland growth and cancer. Axon regeneration may be related to the abnormal behavior of forest musk deer in secretory phase. In the future, it will be necessary to conduct joint omics of the transcriptome, genome, and proteome, as well as target experiments on the identified compound types, to more accurately verify the metabolic pathways and metabolites that were the focus of this study. Declarations Ethics approval and consent to participate Beijing Forestry University Ethics Review Committee approved the experiments, including any relevant details of the research. (Approval Number: 2024001) All experiments were performed in accordance with Wildlife Protection Law of the People's Republic of China. The authors complied with the ARRIVE guidelines. Consent for publication Not applicable Availability of data and materials The data used to support the finding of this study are available from the corresponding author upon request. Competing interests The authors have no conflicts of interest to declare. Funding This work was supported by the Beijing Municipal Natural Science Foundation (Grant No. 5242015) and Huailai Zhiyangtianbao Technical development Co., Ltd. (2021HXFWBH-LSQ-02). Authors' contributions Yufan Wang (First Author): Conceptualization, Methodology, Software, Investigation, Formal Analysis, Writing - Original Draft; Pengcheng Yang: Data Curation, Writing - Original Draft; Xian An: Visualization, Investigation; Jingyao Hu: Resources, Supervision; Taoyue Chen: Software, Validation. Shuqiang Liu (Corresponding Author): Conceptualization, Funding Acquisition, Resources, Supervision, Writing - Review & Editing Congxue Yao (Second Corresponding Author): Funding Acquisition, Resources. Acknowledgements Special thanks are extended to the Hebei Huailai Breeding Base. Their collaboration and granting us access to collect the biological maternal (blood) specimens used in this study have been invaluable. 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Cite Share Download PDF Status: Published Journal Publication published 23 Jul, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 04 Jun, 2024 Reviews received at journal 26 May, 2024 Reviewers agreed at journal 16 May, 2024 Reviews received at journal 26 Apr, 2024 Reviewers agreed at journal 15 Apr, 2024 Reviewers invited by journal 15 Apr, 2024 Editor assigned by journal 15 Apr, 2024 Editor invited by journal 10 Apr, 2024 Submission checks completed at journal 09 Apr, 2024 First submitted to journal 27 Mar, 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. 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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-4178932","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":289811517,"identity":"a8d661c0-85ff-4ace-82f9-6b9876008826","order_by":0,"name":"Yufan Wang","email":"","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Yufan","middleName":"","lastName":"Wang","suffix":""},{"id":289811518,"identity":"77da18fc-d45e-4f9c-b7ce-eeadbeb0ff8b","order_by":1,"name":"Pengcheng Yang","email":"","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Pengcheng","middleName":"","lastName":"Yang","suffix":""},{"id":289811519,"identity":"6117a71c-27d1-4747-a5c4-41a7e8bab8a8","order_by":2,"name":"Taoyue Chen","email":"","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Taoyue","middleName":"","lastName":"Chen","suffix":""},{"id":289811520,"identity":"3e6e6a4d-3433-46ca-a315-e296d0bb1abf","order_by":3,"name":"Jingyao Hu","email":"","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Jingyao","middleName":"","lastName":"Hu","suffix":""},{"id":289811521,"identity":"301598ad-9d71-47f9-a62f-a168d17e8695","order_by":4,"name":"Xian An","email":"","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Xian","middleName":"","lastName":"An","suffix":""},{"id":289811523,"identity":"83c10b9f-d8af-46dd-967b-4dfdb2003a96","order_by":5,"name":"Yufan Wang","email":"","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Yufan","middleName":"","lastName":"Wang","suffix":""},{"id":289811526,"identity":"2102dfe1-05d6-4623-af5b-588fc4d5269d","order_by":6,"name":"Shuqiang Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/ElEQVRIiWNgGAWjYBACPmYGBiBi4AFixscMPHIgQQO8WtiQtDAbM/AYE6GFAaIFzJZmYCBGCzuP8efCNmsZ/tnt16oLZAwSG9ibt0kw1NzB4zAeM+mZbek8EnfOlN2ewQPUwnOsTILh2DO8Wph52w7zMNzISbvNw/MnsUEix0yCseEwPi3Gn0Fa5IFainlAtsi/IajFQBqkxeBG+jFmsBYJHkJa2Mqkec6l8xjeyGGWBvrFuI0nrdgi4RhuLfz8hzd/5imztpe7kf7wc2GPgWw/++GNNz7U4NYCBeDYNGBg7IHEFEMCIQ0QLewPGBh+EFY6CkbBKBgFIw8AACL/Rb3eNYcqAAAAAElFTkSuQmCC","orcid":"","institution":"Beijing Forestry University","correspondingAuthor":true,"prefix":"","firstName":"Shuqiang","middleName":"","lastName":"Liu","suffix":""}],"badges":[],"createdAt":"2024-03-28 02:51:29","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4178932/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4178932/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-024-67981-z","type":"published","date":"2024-07-23T16:15:37+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":54570686,"identity":"6b9234fc-2f0e-4f68-931c-057fc96d345b","added_by":"auto","created_at":"2024-04-12 12:33:10","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":403264,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e1-1. \u003c/strong\u003ePrincipal component analysis diagram of difference grouping. Notre: The X-axis represents the first principal component (PC1), the Y-axis represents the second principal component (PC2). Each point represents a sample. The samples of the same group are represented by the same color.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e1-2. \u003c/strong\u003eVolcano plot of sample metabolites. Note: each point in the volcano map represents a metabolite; the x-axis represents the multiple change of the group compared to each substance; the p-value is represented by the y-axis, and the scatter size represents the VIP value of the OPLS‒DA model. The blue dots in the figure represent the down-regulated differentially expressed metabolites, and the gray represents the metabolites detected but the difference is not significant.\u003c/p\u003e","description":"","filename":"Figure1.png","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/15c0ac70284774ca72c60985.png"},{"id":54571073,"identity":"b9e6a0d4-a729-4c3d-8540-6ee7eaabfeb7","added_by":"auto","created_at":"2024-04-12 12:41:10","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":222802,"visible":true,"origin":"","legend":"\u003cp\u003eViolin plot of the top 10 metabolites with the smallest p-value. Note: the x-axis represents the grouping, and the y-axis is the metabolite content. The middle is the box diagram, and the thin black line extending from it represents the 95% confidence interval, the minimum value, and the maximum value, forming spacing that can reflect the degree of variation in the data.\u003c/p\u003e","description":"","filename":"Figure2.png","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/54226c08f657c9d72807ec84.png"},{"id":54570690,"identity":"de02e2aa-47c7-4f9d-a8a7-27b03798eece","added_by":"auto","created_at":"2024-04-12 12:33:10","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":440875,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e3-1. \u003c/strong\u003eDifferential metabolite differential abundance score plot. The 10 pathways with the most significant metabolic differences. Red indicates up-regulation and purple indicates down-regulation. The size of the circle represents pathway size, and the length of the color line represents differential abundance score.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3-2. \u003c/strong\u003eEnrichment network diagram. The figure shows the specific metabolites involved in the five most significant pathways, and the color of the metabolite circle represents fold change.\u003c/p\u003e","description":"","filename":"Figure3.png","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/a8cd05de08cd987093f0986e.png"},{"id":54571074,"identity":"a3fad87f-83d9-4a79-9a55-a615499de49e","added_by":"auto","created_at":"2024-04-12 12:41:10","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":787575,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e4-1 \u003c/strong\u003eKEGG annotation results of differential metabolites in drug metabolism - cytochrome P450.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;4-2 \u003c/strong\u003eKEGG annotation results of differential metabolites in metabolism of xenobiotics by cytochrome P450.\u003c/p\u003e\n\u003cp\u003eNote: Red indicates that the metabolite content is significantly up-regulated, and green indicates that the metabolite content is significantly down-regulated.\u003c/p\u003e","description":"","filename":"Figure4.png","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/4a1890b68d75b51cfd4ebef3.png"},{"id":54570692,"identity":"1f14b73f-19ed-426b-9cb4-771fd218ca0e","added_by":"auto","created_at":"2024-04-12 12:33:10","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":554883,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003e5-1 \u003c/strong\u003eKEGG annotation results of differential metabolites in choline metabolism in cancer.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;5-2 \u003c/strong\u003eKEGG annotation results of differential metabolites in glycerophospholipid metabolism.\u003c/p\u003e","description":"","filename":"Figure5.png","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/91b2396dce5c6525efe4372f.png"},{"id":54570688,"identity":"62f035d3-a89f-4e37-811d-c5cbcb425e81","added_by":"auto","created_at":"2024-04-12 12:33:10","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":31511,"visible":true,"origin":"","legend":"\u003cp\u003eKEGG annotation results of differential metabolites in axon regeneration.\u003c/p\u003e","description":"","filename":"Figure6.png","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/a114c63af6434c4376a87afd.png"},{"id":61596135,"identity":"c305d89d-b65e-4fde-b209-667f0fa367a3","added_by":"auto","created_at":"2024-08-01 17:25:03","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2462028,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4178932/v1/7d53496d-4a71-47eb-8f8a-29370cb18a53.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Analysis and comparison of blood metabolome of forest musk deer in musk secretion and non- secretion periods","fulltext":[{"header":"Introduction","content":"\u003cp\u003eForest musk deer (Moschus berezovskii) (FMD), also known as musk deer, are the smallest musk deer species and are mainly found in China. They inhabit forests at an altitude of 2400‒3800 m, mainly broad-leaved, coniferous, and mixed coniferous and broad-leaved forests in low mountainous areas. FMD prefers to live in mixed coniferous and broadleaved forests with high relative humidity. Habitat reduction and indiscriminate hunting have endangered wild FMD populations [1]. Owing to the sharp decline in the number of wild FMD in China, on October 24, 2002, all FMDs were reclassified from national second-class to national first-class protected wild animals [2].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eDuring the estrous season, FMD attract females by secreting musk [3]. Secreted musk can help male FMD maintain relationships with specific female FMD, thereby providing opportunities for proliferation of the population and improving their quality of life. In addition, these secreted musks can inhibit the entry of other species, establish certain territories, resist attacks by hostile species, and communicate socially to deter other populations, thereby maintaining the balance of the population [4]. Secreted musks also provide considerable physiological information, such as the sex, age, and physical state of FMD, as well as the local environmental conditions [3].\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMusk is secreted by the musk glands of male FMD and contains extremely complex components, mainly macrocyclic ketones, pyridines, steroids, and other alkaloids, as well as polypeptide proteins, fatty acids, esters, and inorganic acids [5]. The synthesis mechanism of various components in musk is unclear, which greatly affects our understanding of the musk formation process. The mechanism of musk synthesis has been studied from several perspectives, including the anatomical and tissue structure of the musk sac [6], the regulation of sex hormones on musk secretion [7], and genetic diversity of musk-related genes in FMD [8]. However, studies on the regulatory mechanisms of musk synthesis are limited. Blood is difficult to obtain because of the stress caused to FMDs. To the best of our knowledge, with the aim of understanding FMD secretion physiological condition, this is the first analysis of FMD blood metabolites that fills an important knowledge gap in this field.\u003c/p\u003e\n\u003cp\u003eThe raw materials required for musk synthesis are mainly obtained from the blood supply; therefore, blood metabolites in the secretion phase are critical for musk synthesis. Metabolomics can qualitatively and quantitatively analyze all the low-molecular-weight metabolites in certain organisms,\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;tissues, and cells [9]. In this study, the differentially metabolites identified via serum metabolomics were analyzed during musk secretion and non-secretion periods.\u003c/p\u003e\n\u003cp\u003eSeveral pathways and metabolites with the highest proportion of expression were annotated to determine the complex metabolic network between blood metabolites and the musk synthesis process in FMD, thereby providing a basis for exploring the related mechanism of blood metabolites in the musk formation process.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cem\u003eBlood sample collection\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe FMD used in the experiment are from the Hebei Huailai Breeding Base. The base is located in Xinglinbao Village, Wangjialou, Huailai County, Hebei Province. There are more than 300 closed shelters and more than 200 FMD are kept in captivity. The main diets of FMD are leaves, including apricot leaves, elm leaves, ailanthus leaves, birch leaves, as well as dandelions and Houttuynia cordata. All 10 FMDs were maintained in the same captive environment with the same diet and sanitation standards.\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Ethics Committee of Beijing Forestry University, Beijing, China; Zhiyangtianbao Biological Science and Technology Ltd, Huailai, China (which managed the sampled FMD). The study was conducted in accordance with the recommendations of the Institutional Animal Ethics and Care Committee of the Beijing Forestry University. All experimental procedures were performed with the assistance of the local veterinarians. This blood collection method has been proven to be simple, safe and reliable, and has little impact on the animals after the blood collection.\u003c/p\u003e\n\u003cp\u003eThe FMD involved in this study are all kept in captivity and are privately owned by operators in the artificial breeding industry, but their trades and breeding licenses are supervised by the Forestry Bureau. Male FMD secretes musk from May to July every year [10], in this period many of its daily behaviors and habits tend to decrease or disappear, such as food intake being reduced or even stopped [11], and the amount of time spent on lying and resting is increased, but it is still active during peak activity hours. During activities, FMD moves less, stands more, looks numb, and stands blankly. There are occasional defecation movements, but no feces are discharged, it also licks the vagina more frequently [12]. In terms of physiological manifestations, the testicles and scrotum of male FMD are swollen and drooping, the scent glands are enlarged and clearly visible, and the musk fragrance overflows and has a fragrant smell [11]. Based on the above status, it can be judged that the FMD has entered the stage of secretion.\u003c/p\u003e\n\u003cp\u003eBefore preparing for blood collecton, first the FMD was driven into a small enclosure 1-2 hours in advance, then the FMD was driven into a capture wooden box through the special false door with holes, and the veterinarian should hold its hind legs with both hands, lift up the lower leg below the accessory joint, grasp its hind leg with left hand, twist FMD on the left side, and grab the front leg below the wrist joint with right hand, then places the right side of the FMD flat on the veterinarian\u0026apos;s thigh, paying attention to prevent compress the heart and rumen while the veterinarian sits on a small wooden stool 30-40 cm high. The assistant should hold FMD\u0026rsquo;s head to prevent its fangs from hurting people when its head shook for struggling. At the same time, the assistant should cover the eyes of FMD with a piece of cloth, but be careful not to cover the nose, because this would affect the FMD\u0026apos;s breathing.\u003c/p\u003e\n\u003cp\u003eWe collected blood samples from 10 FMDs at the Hebei Huailai Breeding Base during musk secretion and non- secretion periods in April and June in 2022. FMD are wild animals, but the blood collected in this study came from captive populations. The blood collector collects blood from the veins of the forelimbs of FMD. the assistant holds the FMD, then the blood collector straightens the lower limb of the FMD with his left hand to fill the veins. Or use the pulse as an indicator and insert a syringe into the blood vessel with your right hand.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOne to two milliliters of venous blood was extracted from each FMD using disposable sterile syringes. All fresh blood samples were collected in test tubes containing ethylenediaminetetraacetic acid then stored in liquid nitrogen.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eMetabolite extraction\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe liquid chromatography tandem-mass spectrometry (LC-MS/MS) system for the metabolomic analysis consisted of a Waters Acquity I-Class PLUS ultra-high performance \u0026nbsp;liquid \u0026nbsp; tandem \u0026nbsp;Waters \u0026nbsp;Xevo \u0026nbsp; G2-XS \u0026nbsp;QTof \u0026nbsp;high-resolution \u0026nbsp;mass spectrometer. The column was purchased from Waters Acquity UPLC HSS (T3 column, 1.8 um, 2.1 \u0026times; 100 mm).\u003c/p\u003e\n\u003cp\u003eThe following solutions were used for the positive ion mode: mobile phase A: 0.1% formic acid aqueous solution; mobile phase B: 0.1% formic acid acetonitrile. For negative ion mode the following solutions were used: mobile phase A: 0.1% formic acid aqueous solution; mobile phase B: 0.1% formic acid acetonitrile. The injection volume was 1 \u0026mu;L.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eLC-MS/MS analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe used a Waters Xevo G2-XS QTOF high-resolution mass spectrometer to collect primary and secondary mass spectrometry data in MSe mode under the control of acquisition software (MassLynx V4.2, Waters). In each data acquisition cycle, we performed dual-channel data acquisition simultaneously at both low and high collision energies. The low collision energy range was 2 V, the high collision energy range was 10‒40 V, the scanning frequency for a mass spectrum was 0.2 s. The parameters of the electrospray ionization source were as follows: cone voltage: 30 V; Capillary voltage: 2000 V (positive ion mode) or -1500 V (negative ion mode); ion source temperature: 150 \u0026deg;C; backflush gas flow rate: 50 L/ h; desolventizing gas flow rate: 800 L/h; desolvent gas temperature 500 \u0026deg;C.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData preprocessing and annotation\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eFor peak extraction, peak alignment, and other data processing operations, the raw data collected by MassLynx V4.2 were processed using Progenesis QI software. Based on Progenesis QI software, online METLIN database and Biomark\u0026rsquo;s self- built library were used for identification. The theoretical fragment identification and mass deviation were within 100 ppm.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe original peak area information was normalized to the total peak area for subsequent analysis. We used principal component analysis and Spearman\u0026rsquo;s correlation analysis to assess the repeatability of the samples within the group and the quality control samples. All the identified compounds were classified and searched for pathway information in the Kyoto Encyclopedia of Genes and Genomes (KEGG), Human Metabolome Database (HMDB), and LipidMaps databases. The difference multiples were calculated and compared, and the statistical significance (p-value) of the difference of each compound was calculated by the t-test. The orthogonal projections structure-discriminant analysis (OPLS-DA) modeling was orthogonally projected using the R language package \u0026ldquo;ropls,\u0026rdquo; and 200 permutation tests were performed to verify the reliability of the model. We used multiple cross-validations to calculate the variable importance in the projection (VIP) value of the model. The differential metabolites were screened by the combination of OPLS-DA model, p-value, and VIP value. The screening criteria were p-value \u0026lt; 0.05, fold change (FC) \u0026gt; 1, and VIP \u0026gt; 1. The hypergeometric distribution test was used to calculate the differences in metabolites with significant KEGG pathway enrichment.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cem\u003eMetabolomics analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eIn the default mode, we identified 16847 peaks, from which 4941 annotated metabolites were extracted. \u003cem\u003eFigure 1-1\u003c/em\u003e shows that two groups of samples generally showed significant differences in their characteristics. The metabolite contents during the non-secretion period were relatively similar, while the metabolite contents during the secretion period varied significantly.\u003c/p\u003e\n\u003cp\u003eIn the secretion period, 1298 metabolites were upregulated and 987 metabolites were downregulated significantly; the increase was generally greater than the decrease (which showed in \u003cem\u003eFigure 1-2\u003c/em\u003e). The reliability of the results was determined because the FC values were generally high. \u003cem\u003eFigure 1-2\u003c/em\u003e shows the annotation characteristics of the five most important significantly upregulated compounds in the volcanic map, i.e., 5-oxoavermectin \u0026quot;1a\u0026quot; aglycone, threonate, N-acetyl-L- glutamate, diplosporin, which increased significantly from the non-secretion period to the secretion period.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFigure 2\u003c/em\u003e shows the top 10 metabolites with the smallest pvalue. Among the up-regulated metabolites, N-Acetyl-L-glutamate has the most significant increase; among the down-regulated metabolites, undecylenic acid has the most significant decrease.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePathway analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe metabolic pathways most strongly related to the differences between the musk non-secretion and secretion periods of FMD are shown in \u003cem\u003eFigure 3-1\u003c/em\u003e. The relationships between the five most significant metabolic pathways and annotated differential metabolites are shown in \u003cem\u003eFigure 3-2\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eAmong the pathways with the highest up-regulated abundance, we mainly focus on the following three categories of pathways: P450-related pathways, choline-related pathways and axon regeneration, because these three categories of pathways are most obviously related to the musk secretion mechanism of FMD.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eP450 related pathways include the following two: drug metabolism - cytochrome P450, which involves several significant metabolites (5-Hydroxyvalproic acid, etc. see in \u003cem\u003eFigure 4-1\u003c/em\u003e), another one is metabolism of xenobiotics by cytochrome P450, in which the important metabolite (1aalpha,2beta,3alpha,11calpha)-1a,2,3,11c-Tetrahydro-6,11-dimethylbenzo[6,7]phenanthro[3,4-b]oxirene-2,3-diol) upregulated significantly (\u003cem\u003eFigure 4-2\u003c/em\u003e). Despite P450-related pathway, another two choline-related pathways also worth attention: choline metabolism in cancer, in which choline, choline phosphate, and glycerophosphocholine \u0026nbsp;are significantly up-regulated (\u003cem\u003eFigure 5-1\u003c/em\u003e), these metabolites are also enriched in pathway glycerophospholipid metabolism (\u003cem\u003eFigure 5-2\u003c/em\u003e). Finally, there is axon regeneration, in which Anandamide and 5-Hydroxy-L-tryptophan are significantly increased (\u003cem\u003eFigure 6\u003c/em\u003e).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eAnalysis of the physiological and chemical bases of musk secretion mechanisms has become an important issue in musk research; however, current understanding of related factors remains limited, particularly the connection between musks and blood metabolites [13]. Based on the hypothesis that musk secretion by FMD is related to a series of different metabolic processes [7], metabolomics may be a valuable tool for improving our understanding of the complex mechanism of musk secretion. To the best of our knowledge, this is the first research to use high-throughput metabolomics to study musk secretion from FMD.\u003c/p\u003e\n\u003cp\u003eAccording to the KEGG functional annotation and differential metabolite enrichment analysis, we found that the following significantly enriched pathways deserve focused discussion. We focus on the two pathways related to P450, drug metabolism - cytochrome P450 and metabolism of xenobiotics by cytochrome P450, because Cytochrome P450 plays an important role in the secretion of forest musk deer [14]. Two choline-related pathways also worth discussion, because choline plays an important role in cancer-related pathways, and the similarity between cancer and musk secretion has been focused on [8]. Axon regeneration also worth discussion, because we think it is potentially related to the abnormal behavior of forest musk deer when secreting musk [15].\u003c/p\u003e\n\u003cp\u003eCytochrome P450 (CYP450) belongs to a large family of self-oxidizing heme proteins [14]. Drug metabolism-cytochrome P450 and the metabolism of xenobiotics by cytochrome P450 pathways were significantly enriched in the serum of musk deer during the musk secretion period, indicating that in the synthesis of male hormones (i.e., C19 steroids) in musk components, P450 in the blood during the musk secretion period may have played a role in the further modification or transformation of its precursors.\u003c/p\u003e\n\u003cp\u003eAs a terminal oxygenase, P450 is involved in sterol synthesis. We found that in the drug metabolism-cytochrome P450 metabolic pathway, there was significant enrichment of several branches, such as methadone, tamoxifen, felbamate, and valproic acid. The basic function of eukaryotic class I enzymes in the P450 family is related to the mitochondrial inner membrane, which catalyzes several steps in steroid hormone and vitamin D biosynthesis [14]. In animals, it has many physiological functions in the biosynthesis and catabolism of signaling molecules, lipid oxides, and steroid hormones [14]. Previous studies have shown that P450 plays a role in the metabolism of xenobiotics and endogenous substrates involved in the metabolism of steroids, fatty acids, prostaglandins, and even ketones [16]. It can be speculated that the high P450 pathway activity of musk deer during the musk secretion period may be closely related to the synthesis of musk ketone, cyclopentadecanone, cholesterol, 3a-hydroxy-5b-androstane-17-one, cholesterol, 1,2-cyclododecanediol, and other musk components. Previous studies have found that several important steroid oxidation reactions occur in mitochondria, including the steroid oxidation reaction catalyzed by cholesterol side chain lyase (now known as P450 11A1), which initiates the entire process of steroid production [17]. This suggests that the synthesis of steroids, the most important major component of musk, may be significantly affected by P450-related pathways (\u003cem\u003eFigure 4\u003c/em\u003e).\u003c/p\u003e\n\u003cp\u003eNotably, several studies have examined the role of cytochrome P450 in herbal plants. Plants and animals share common metabolic pathways and secondary metabolites at the cellular level. Using in vitro and in vivo methods, previous studie have identified many herbs and natural compounds isolated from herbs as substrates, inhibitors, and/or inducers of cytochrome P450 enzymes [18]. Moreover, the regulation of CYPs in animals by herbal products appears to be complex, depending on the type, dosage, administration route, target organs, and species [20]. Recent studies have shown that feeding Chinese herbal medicines to FMD can supplement their nutrition [19]. Therefore, the association between herbal medicine and P450 may provide an optimization strategy for the nutrition of FMD and improving their aroma secretion ability.\u003c/p\u003e\n\u003cp\u003eOwing to the rapid proliferation of aromatic cells during the rapid growth period of the gland, this process is similar to that in malignant tumors. Therefore, some researchers have regarded it as cancer-like growth [8]. The gradual growth of muscle glands from the non-secretion period to the secretion period requires cytokines to closely regulate cell growth. We found that the Choline metabolism in cancer (\u003cem\u003eFigure 5-1\u003c/em\u003e) and glycerophospholipid metabolism (\u003cem\u003eFigure 5-2\u003c/em\u003e) were significantly enriched during aroma secretion. Among these, the concentrations of choline, phosphocholine, gel permeation chromatography (GPC), and 3-(O-geranylgeranyl)-sn-glycerol 1-phosphate metabolites were significantly increased (\u003cem\u003eFigure 5\u003c/em\u003e), which may have been positively correlated with gland growth. Choline is an essential nutrient that plays important roles in cellular metabolism and normal function [20; 21]. The liver is the central organ responsible for choline metabolism. Many studies have emphasized the importance of glycerophosphocholine in cancer [22]. Active enzymes in the GPC degradation pathway are often overexpressed in cancer cells, and may cause cancer cell proliferation, migration, and invasion [23]. The decrease in the activity of the ferroptosis pathway observed in this study (\u003cem\u003eFigure 3-1\u003c/em\u003e) may also have been related to this phenomenon.\u003c/p\u003e\n\u003cp\u003eUpregulation of the axon regeneration pathway can explain the musk-secreting behavior of FMD. Our experiments revealed that metabolites such as anandamide and oxitriptan were significantly enriched (\u003cem\u003eFigure 6\u003c/em\u003e). Anandamide affects sleep and eating patterns, enhances happiness, and relieves pain [24]. Oxitriptan reduces food intake in rats, and slows food intake and improves exercise performance in dogs [15]. Previous studies have shown that estrogen induces precocious axonogenesis in the developing rat brain [25]. It can be speculated that these neuromodulatory metabolites increase the degree of stress during the estrous period in FMD, which is closely related to high alertness and reduced eating behavior during the secretion period [26]. Previous studies have shown that bile volume in male musk deer is negatively correlated with musk secretion; the greater the stress, the smaller the bile volume of the FMD [27]. Therefore, it can be speculated that the axon regeneration pathway promotes musk secretion by enhancing stress and reducing the bile volume in FMD.\u003c/p\u003e\n\u003cp\u003eDue to the protection level of forest musk deer and the vulnerability to panic stress, it is difficult to take blood samples, so the amount of samples we obtained is small, which is not enough to support more in-depth analysis. On the one hand, metabolomics studies on blood only locate the pathways vaguely with abnormal expression in the secretory phase and some metabolic components. Revealing the secretion mechanism requires more targeted localization experiments for specific metabolites in these metabolic pathways. On the other hand, due to the wide range of labeled metabolites and pathways in metabolomics, we could not explain the correlation between all the significantly changed pathways and musk secretion of forest musk deer. However, we still present these results in the text, rather than omitting them in order to prevent induced argument. It is very important to reveal the secretion mechanism of forest musk deer, because it helps to alleviate the protection pressure caused by the use of musk on forest musk deer by restoring the incense production process in vitro. If a library of musk components of forest musk deer can be established, and then a transformation path library can be established, and then compared with the metabolomics components involved in this work, then, even through the enumeration method, a complex interactive relationship between the blood metabolite group and the musk component group can be accurately established.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eNon-targeted metabolomics provide valuable information on metabolic pathways, which may be an important supplement for explaining the mechanisms of musk secretion in FMD. Drug metabolism-cytochrome P450 and metabolism of xenobiotics by cytochrome P450 pathways appeared to play central roles in musk secretion. Pathways such as choline metabolism in cancer have verified the commonality between scent gland growth and cancer. Axon regeneration may be related to the abnormal behavior of forest musk deer in secretory phase. In the future, it will be necessary to conduct joint omics of the transcriptome, genome, and proteome, as well as target experiments on the identified compound types, to more accurately verify the metabolic pathways and metabolites that were the focus of this study.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cem\u003eEthics approval and consent to participate\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eBeijing Forestry University Ethics Review Committee approved the experiments, including any relevant details of the research. (Approval Number: 2024001)\u003c/p\u003e\n\u003cp\u003eAll experiments were performed in accordance with Wildlife Protection Law of the People\u0026apos;s Republic of China.\u003c/p\u003e\n\u003cp\u003eThe authors complied with the ARRIVE guidelines.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eConsent for publication\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAvailability of data and materials\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe data used to support the finding of this study are available from the corresponding author upon request.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCompeting interests\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have no conflicts of interest to declare.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFunding\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the Beijing Municipal Natural Science Foundation (Grant No. 5242015) and Huailai Zhiyangtianbao Technical development Co., Ltd. (2021HXFWBH-LSQ-02).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAuthors\u0026apos; contributions\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eYufan Wang (First Author): Conceptualization, Methodology, Software, Investigation, Formal Analysis, Writing - Original Draft;\u003c/p\u003e\n\u003cp\u003ePengcheng Yang: Data Curation, Writing - Original Draft;\u003c/p\u003e\n\u003cp\u003eXian An: Visualization, Investigation;\u003c/p\u003e\n\u003cp\u003eJingyao Hu: Resources, Supervision;\u003c/p\u003e\n\u003cp\u003eTaoyue Chen: Software, Validation.\u003c/p\u003e\n\u003cp\u003eShuqiang Liu (Corresponding Author): Conceptualization, Funding Acquisition, Resources, Supervision, Writing - Review \u0026amp; Editing\u003c/p\u003e\n\u003cp\u003eCongxue Yao (Second Corresponding Author): Funding Acquisition, Resources.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAcknowledgements\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eSpecial thanks are extended to the Hebei Huailai Breeding Base. Their collaboration and granting us access to collect the biological maternal (blood) specimens used in this study have been invaluable.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eLing L ,Ying Z ,YunFa G , et al.Characterization of major histocompatibility complex DRA and DRB genes of the forest musk deer(Moschus berezovskii)[J].Chinese Science Bulletin,2013,58(18):2191-2197.\u003c/li\u003e\n\u003cli\u003eXiaolong Hu. Quantitative study on the dynamics of intestinal parasites and flora in forest musk deer and its health indication function. 2017.Beijing Forestry University, PhD dissertation. doi:10.26949/d.cnki.gblyu.2017.000093.\u003c/li\u003e\n\u003cli\u003eSong Xingchao, Yang Fuhe, Xing Xiumei. 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Applied Ecology, 2019,30 ( 02 ) : 661-667, DOI : 10.13287 / j.1001-9332.201902.038.\u003c/li\u003e\n\u003c/ol\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":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"blood components, metabolomics, musk secretion","lastPublishedDoi":"10.21203/rs.3.rs-4178932/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4178932/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMusk is an important animal product, but the musk secretion mechanism of forest musk deer(Moschus berezovskii) is still unclear. The musk synthesis process in forest musk deer is extremely complex, and many raw materials are directly or indirectly derived from forest musk deer blood.In this study, metabolomics was used to analyze the blood of forest musk deer in secretory and non-secretory phases for the first time, aim at explaining the secretion mechanism from the perspective of blood metabolism. We found that P450-related, choline-related, axonal regeneration and other pathways and related metabolites were significantly enriched during the musk secretion of forest musk deer. These pathways and metabolites related to P450 and choline in blood may have important implications for the mechanism of musk secretion in forest musk deer, because blood components were closely related to musk components and could provide raw materials for musk synthesis in musk gland cells.\u003c/p\u003e","manuscriptTitle":"Analysis and comparison of blood metabolome of forest musk deer in musk secretion and non- secretion periods","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-12 12:33:04","doi":"10.21203/rs.3.rs-4178932/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-06-04T06:42:43+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-05-26T23:44:00+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"313970016814502006554919710431592324563","date":"2024-05-16T05:39:58+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-04-26T17:50:09+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"bd96009b-cae1-4c72-81bb-90f1b8696355","date":"2024-04-15T14:46:43+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-04-15T14:21:35+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-04-15T14:02:44+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-04-10T16:04:08+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-04-09T07:46:59+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-03-28T02:50:16+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"5dda97d4-f718-431a-9488-6d6556b1c747","owner":[],"postedDate":"April 12th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":30520819,"name":"Biological sciences/Biochemistry/Metabolomics"},{"id":30520820,"name":"Biological sciences/Biochemistry"}],"tags":[],"updatedAt":"2024-08-01T17:05:52+00:00","versionOfRecord":{"articleIdentity":"rs-4178932","link":"https://doi.org/10.1038/s41598-024-67981-z","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2024-07-23 16:15:37","publishedOnDateReadable":"July 23rd, 2024"},"versionCreatedAt":"2024-04-12 12:33:04","video":"","vorDoi":"10.1038/s41598-024-67981-z","vorDoiUrl":"https://doi.org/10.1038/s41598-024-67981-z","workflowStages":[]},"version":"v1","identity":"rs-4178932","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4178932","identity":"rs-4178932","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}