Toxicological Studies of Feretia apodanthera Del. Roots

Toxicological Studies of Feretia apodanthera Del. 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Roots H. M. ABDULLAHI, B. S. Aliyu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9085137/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 18 You are reading this latest preprint version Abstract Background Feretia apodanthera , a shrub with twisting branches, has been traditionally used in folk medicine to treat erectile dysfunction and digestive disorders. This study investigates the toxicological properties of the roots of this plant. Results Toxicological evaluation followed Lorke’s method and was conducted in two phases. In the first phase, rats received doses of 10, 100, and 1000 mg/kg without any fatalities. In the second phase, higher doses (1500, 2250, 3250, and 5000 mg/kg) were administered, also without mortality. The estimated LD 50 was greater than 5000 mg/kg. Additionally, oral administration of methanolic extracts at doses of 250, 500, and 1000 mg/kg over a four-week period showed no significant alterations in kidney or liver function compared to control groups. Hematological and biochemical analyses (MID, LYMP, RBC, WBC, GRAN, ALT, AST, ALP, chloride, and sodium levels) also demonstrated no adverse effect. These findings suggest that the root extracts of F. apodanthera is safe for human consumption at tested doses, with no observable toxicity or negative impact on kidney and liver function. Conclusions This study provides insights into the safety and therapeutic potential of these medicinal plants, supporting their continued use in herbal medicine. Human clinical trials should be conducted to validate the efficacy and safety of these plant extracts in treating specific health conditions. Comparative studies with existing pharmaceutical drugs should be explored to determine their potential as alternative or complementary therapies. Toxicological study roots Feretia apodanthera rats herbal medicine Background Toxicity studies are conducted to provide greater understanding of the potential intrinsic hazard of the test item and to estimate safety margins [ 1 ]. These safety margins are used to determine an initial safe starting dose for clinical trials, a safe dose for continued use in humans through longer clinical trials, and ultimately to achieve successful review of registration dossiers to support marketing approval and use of new medicines within the wider population [ 2 ]. Feretia apodanthera Del, is from the family Rubiaceae, a bush delicious shrub with winding or twisting branches, growing from 2 to 6 m tall [ 3 ], the leaf plate are elliptic to ovalate in shape with sometimes apiculate apex and rounded or cuneate base. The fruits are about 3–7 mm in diameter. It is commonly known as kuru-kuru by Hausa/Fulani in Northern Nigeria being often found on ant-hills [ 4 ]. F. apodanthera has been shown to control inflammation due to its ability to reduce the activity of nuclear factor kappa β and nitric oxide which play significant roles in inflammation [ 5 ]. It’s extracts have also been shown to have high antioxidant activity similar to quercetin and relatively high flavonoid content [ 6 ]. Mental conditions had been calmed using its extract. Taiwe et al. [ 7 ] reported that the extract of F. apodanthera was effective against cognitive errors, oxidative stress, seizures and in repairing memory impairment. Methods Collection and Identification of Plant Materials The roots of F. apodanthera were collected from Tsaure Village of Gwarzo Local Government Area, Kano State, Nigeria. They were identified and authenticated in the herbarium of the Plant Science and Biotechnology Department of Bayero University, Kano, by Dr. Yusuf Nuhu, and a deposition number, BUKHAN 0135, was given to the plant. A sample was deposited in the herbarium of the Department of Plant Science and Biotechnology, Bayero University, Kano, Nigeria. Study Area Toxicity study was conducted at Aminu Kano Teaching Hospital Pharmacology Lab Kano state and FTIR and GCMS conducted at Ahmadu Bello University, Zaria. Fourier Transformed Infrared Spectroscopy Analysis (FT-IR) Air-dried sample of methanol fraction from selected plant species was analyzed for identification of characteristic functional groups using Fourier Transformed Infrared (FT-IR) spectrophotometer (Shimadzu 8400) at the Multi-User Laboratory, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria. A small quantity (0.1g) of extract sample and 0.025g of dry potassium bromide (KBr) were homogenized using mortar and pestle. A portion of the homogenized mixture was placed on the disc and pressed using a mini hand press to form a KBr thin film and the disc was placed in the FT-IR spectrophotometer in which spectra was measured by accumulating 64 scans at 4 cm − 1 resolution in the spectral range of 4000 to 400 cm − 1 . Percentage transmittance was plotted against wavelengths. The FT-IR spectra were used to identify the functional groups of active metabolites based on the peak values in the infra-red region. Preparation of Plant Extracts The roots of the plant were cleaned, air dried and ground to coarse powder using grinding machine. The powder was stored in air tight containers for further use. Two hundreds grams (200 g) each of the powdered root was soaked into 2L each of hexane, ethyl acetate and methanol. The mixtures were allowed to stand for 3 days at room temperature (28 ± 2ºC) with hourly agitations. Each extract was sieved through a muslin cloth, filtered through a Whatman (No.1) filter paper, poured unto a clean evaporating dish and placed on a water bath at 50 o C until all the solvent evaporated [ 8 ]. Gas chromatography-mass spectrum (GC-MS) analysis GC-MS analysis was conducted at the Multi-User Laboratory, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria. The extracts were diluted to 1 mg/mL and 0.5 µL was separated on non-polar DB5-HT capillary column (20 m × 0.18 mm) with 0.1 µm film (J and W Scientific) fitted to an AutoSystem XL GC-MS. The injector temperature was 270 o C and the oven temperature was programmed at an initial temperature of 50 o C for 1 min, rising at 25 o C per minute to 160 o C and maintained at that temperature for 1 min. The temperature was subsequently increased by 10 o C per minute to 300 o C and maintained at that temperature for a further 4.6 minutes. The carrier gas was helium at a constant pressure of 5kPa. The GC was directly interfaced with AutoSystem XL quadrapole mass spectrometer with an interface temperature of 270 o C. Sample ionisation was by 70eV electron impact and was analysed in positive mode. Structural determination was by comparison of mass spectral patterns to ChemSpider data bases [ 9 ]. Acute toxicity studies of methanol extract of Feretiaapodanthera root Lethal Dose (LD 50 ) Determination The method of Lorke [ 10 ] was employed. The phase I involved the oral administration of three different doses of 10, 100 and 1,000 mg/kg of the crude extract, to three different groups of three adult Wister albino rats. In a fourth group, three adult male Wister albino rats were administered with equivalent/volume of distilled water to serve as control. All the animals were orally administered with the extracts using a curved needle to which a catheter had been fixed. The animals were monitored closely every 30 minutes for the first 3 hours after administration of the crude extracts, and then hourly for the next 6 hours for any adverse effects. Then the animals were left for 72 hours for further observation. When no death occurred, the phase II was employed, only one animal was required in each group. Groups 1–4 animals were orally given 1,500, 2,200, 3250 and 5,000mg/kg dose levels of the crude extract. All the animals were left for observation as in stage one. Sub-Chronic Toxicity Experiment The study was carried out in accordance with [ 11 ] and OECD 407 [ 12 ] guidelines. Twenty rats of either sex were fasted for 24 hours and separated into four groups of five rats each. Group 1 was regarded as the control and received normal saline, while rats in groups 2, 3 and 4 were given different graded doses/concentration of the extract (250 mg/kg, 500 mg/kg and 1000 mg/kg) body weight respectively daily for 28 days. The rats were fed with food and water for the duration of the experiment and regularly observed for general symptoms of toxicity including hyperactivity, sedation, salivation and subsequent death. Rats were weighed twice weekly and the average change in weight calculated. After the 28th day, the rats were sacrificed on the 29th day of the experiment by cervical dislocation, blood samples were collected for determination of biochemical and haematological parameters. Organs such as liver and kidney were removed for determination of organ weight ratio and histopathological examination. Biochemical Test Blood samples collected from the animals in plain bottles were allowed to clot and centrifuged at 3500 rpm for 10 minutes. The sera were separated, stored at -4°C for evaluation of biochemical parameters including alanine aminotransferase (ALT), aspartate aminotransferase (AST) levels and alkaline phosphatase (ALP) levels, serum bilirubin, serum urea nitrogen, creatinine, chloride, sodium, potassium, and bicarbonate using PlivaLachema test kits for kidney function test and Bio Vendor test kits for liver function test. Haematological Studies Blood samples were collected into EDTA bottles for estimation of packed cell volume (PCV), haemoglobin concentration (Hb), platelets (PLT), white blood cell count (WBC) and differentials, mean corpuscular haemoglobin concentration (MCHC), using an automated haematology analyser Sysmex KX21N. Histophathological Examination of Liver and Kidney The liver and kidney of experimental rats were fixed in 10% formal saline for at least 48 hours. They were then processed routinely, and the tissues were embedded in paraffin wax. Histological sections were prepared of thickness 5–6 µm and stained with routine haematoxylin and eosin. The sections were observed under microscope for tissue damage/changes. Photomicrographs of representative lesions were taken under different magnifications [ 13 ]. Results Acute toxicity studies of methanolic extract of Feretia apodanthera roots From the results of the acute toxicity studies (Table 1 ), no death was recorded in the first phase. In the second phase, doses of 1500, 2250, 3250 and 5000mg/kg were used and no death was also recorded. The oral median lethal dose (LD 50 ) for the methanolic root-extract of Feretia apodanthera was therefore estimated to be greater than 5000mg/kg and no sign of behavioural changes were also observed. Table 1 Acute toxicity studies of methanolic extract of Feretia apodanthera Roots Treatment Group Number of Animals Dose (mg/kg) Mortality recorded after 24hrs Phase I I 3 10 0/3 II 3 100 0/3 III 3 1000 0/3 Phase II I 1 1500 0/1 II 1 2250 0/1 III 1 3250 0/1 IV 1 5000 0/1 Effect of Methanolic Extract of Feretia apodanthera Root on Relative Organ Weight of Rats following 28 days Oral administration The effect of 28 days oral administration of methanolic root extract of Feretia apodanthera is shown in Table 2 . There was no significant difference in the relative organ weight (kidney and liver) of the animals treated in any of the groups in comparison with control group from week 1 to week 4. Table 2 Effect of oral administration of methanolic extract of Feretia apodanthera roots on body weight (kg) of rats Treatment Body weight (kg) Week 1 Week 2 Week 3 Week 4 DW 1ml/kg 122.4 ± 1.21 a 126.40 ± 4.86 a 131.40 ± 2.38 a 135.20 ± 2.54 a FAR1000mg/kg 125.10 ± 3.03 a 130.21 ± 1.34 a 134.13 ± 1.40 a 139.12 ± 1.37 a FAR 500mg/kg 130.20 ± 2.34 a 134.41 ± 2.31 a 136.10 ± 9.14 a 138.13 ± 2.01 a FAR 250mg/kg 128.13 ± 1.23 a 131.50 ± 4.45 a 133.21 ± 12.68 a 135.3 ± 2.11 a LSD 16.10 16.24 17.6 18.14 Keys: DW = Distilled Water FAR = F. apodanthera root LSD = Least siginificant difference Effect of Methanolic Extract of Feretia apodanthera Root on Relative Organ Weight of Rats following 28 days Oral administration The effect of 28 days oral administration of methanolic root extract of Feretia apodanthera is shown in Table 3 . There was no significant difference in the relative organ weight (kidney and liver) of the animals treated in any of the groups in comparison with control group from week 1 to week 4. Table 3 Effect of Methanolic root extract of Feretia apodanthera on Relative Organ Weight (kg) of Rats following 28days Oral administration Treatment Organs Kidney Liver DW 1ml/kg 0.50 ± 0.03 a 2.53 ± 0.11 a FAR1000mg/kg 0.51 ± 0.07 a 2.61 ± 0.37 a FAR 500mg/kg 0.55 ± 0.07 a 2.71 ± 0.37 a FAR 250mg/kg 0.53 ± 0.05 a 2.82 ± 0.44 a LSD 0.14 0.31 Keys: DW = Distilled water FAR = F. apodanthera root LSD = Least siginificant difference Effect of 28days Oral administration of Methanolic root Extract of Feretia apodanthera on Haematological parameters of Rats The effect of 28day oral administration of methanolic leaf extract of Feretia apodonthera is shown in Table 4 . There was no significant difference in the LYMP (10*3/µL) Lymphocytes count, RBC(10*6µl), BC (10*3/µL) white blood cell, MID (monocyte,eosiniphil and basophil count) and GRAN (neutrophil count of the animals treated in any of the groups in comparison with control group from week 1 to week 4. Table 4 Effect of 28days Oral Administration of Methanolic Root extract of Feretia apodanthera on Haematological Parameters of Rats Treatment WBC(10*3/µL) LYMP(10*3/µL) RBC(10*6µl) GRAN LYMP (%) MID (%) GRAN (%) DW 1ml/kg 4.18 ± 0.19 a 5.30 ± 0.25 a 5.81 ± 0.04 a 2.10 ± 0.25 a 59.11 ± 1.46 a 4.90 ± 0.29 a 33.38 ± 1.51 b MHL1000mg/kg 4.13 ± 0.33 a 4.43 ± 0.31 a 5.90 ± 0.13 a 2.20 ± 0.29 a 58.12 ± 1.25 b 5.31 ± 0.36 a 36.80 ± 1.15 a MHL 500mg/kg 4.23 ± 0.11 a 5.20 ± 0.14 a 5.72 ± 0.05 a 2.03 ± 0.26 a 58.12 ± 1.55 b 5.30 ± 0.63 a 35.05 ± 1.91 ab MHL 250mg/kg 4.15 ± 0.11 a 5.20 ± 0.18 a 5.64 ± 0.05 a 2.23 ± 0.21 a 59.37 ± 0.92 ab 4.90 ± 0.21 a 34.12 ± 0.92 ab LSD 0.46 0.47 0.42 0.52 2.17 0.82 2.68 Key: %LYM (lymphocyte percentage), %MID (monocyte, eosiniphil and basophil combined percentage), %GRAN (neutrophil percentage), LYMP(10*3/µL) Lymphocytes count, MID (monocyte, eosiniphil and basophil count), GRAN (neutrophil count), RBC (red blood cell), WBC (white blood cell) Feretia apodanthera kidney function Sodium: There are significant differences between the control and treated groups; meaning that there was significant increase in the level of sodium as the concentration of the extract decrease means the higher concentration of Feretia apodanthera the lower level of sodium. Urea: There were significant differences between the control and the treated groups (1000, 500 and 250mg/kg), meaning that there was significant increase in urea with the increase, in the concentration of extract. Pot: There was no significant difference between the 1000mg/kg and 500mg/kg, but there was significant difference between the control and treated groups (1000, 500 and 250mg/kg). Crea: There was no significant difference between the 500mg/kg and 250mg/kg, but there was significant difference between the control and treated group. While the treated group 1000mg/kg there was no significant difference compared with the control group. Table 5 Feretia apodanthera kidney function Parameters SOD (mmol/L) Urea (mg/DL) POT (mmol/L) CREA (MEQ/L) Control 58.5 ± 3.0 d 24.2 ± 0.8 d 16.2 ± 0.5 c 0.77 ± 0.02 b 1000 mg/Kg 91.8 ± 0.9 c 34.2 ± 0.6 a 27.1 ± 1.7 a 0.77 ± 0.02 b 500 mg/Kg 125.3 ± 1.3 b 32.7 ± 0.1 b 24.7 ± 0.6 a 0.85 ± 0.04 a 250 mg/Kg 149.7 ± 10.7 a 28.2 ± 0.4 c 22.0 ± 0.3 b 0.93 ± 0.02 a Mean value with different superscript on the same column differs significantly (P < 0.05). Key: Sod: Sodium Pot: Potassium Crea: Creatinine Feretia apodenthera liver function ALT: There is no significant differences between the control and treated groups (1000, 500 and 250mg/kg). AST: There was no significant difference between the control and treated groups (1000, 500 and 250mg/kg). ALP: There was no significant difference between the control and treated groups (1000, 500 and 250mg/kg). TP : There was significant difference between the treated groups (250mg/kg) compared with the control group but there was no significant difference between the control and treated groups (1000, 500mg/kg). Albumin: There was no significant difference between the control and treated groups (1000, 500 and 250mg/kg). Table 6 Feretia apodanthera liver function Parameters ALT(u/l) AST(u/l) ALP(u/l) TP(g/dl) ALB(g/dl) Control 17.0 ± 2.8 a 38.5 ± 3.5 a 12.4 ± 2.5 a 6.95 ± 0.21 a 2.55 ± 0.21 a 1000 mg/Kg 17.0 ± 4.2 a 49.0 ± 9.9 a 17.0 ± 6.4 a 6.10 ± 0.14 a 2.30 ± 0.14 a 500 mg/Kg 16.5 ± 0.7 a 33.0 ± 7.1 a 11.2 ± 0.8 a 6.05 ± 0.64 a 2.30 ± 0.14 a 250 mg/Kg 17.5 ± 0.7 a 43.0 ± 2.8 a 11.5 ± 0.6 a 5.35 ± 0.21 b 2.25 ± 0.21 a Mean value with different superscript on the same column differs significantly (P < 0.05). Key : ALT: Alanine amino transferase, AST: Aspartate amino transferase, ALP: Alkaline Phosphate, TP: Total protein, ALB: Albumin Phytoconstituents identified in the Methanolic extract of Feretia apodanthera Roots by GCMS GCMS Test: Test of Feretia apodanthera root revealed the presence of Palmitic acid and oleic acid Then penta fluoropropionic acid, and pyrogallol. Lupenol and Hexadecanoic acid. Table 7: Phytoconstituents identified in the Methanolic extract of Feretia apodanthera Root by GCMS Key: MZ- molecular mass ration Peak positions and probable inter-atomic bond of isolated compounds from Feretia apodanthera root methanol extract by FTIR Feretia apodenthera root methanol extract revealed the presence of -OH Stretching of alcohol and phenol functional group with peak value of 3234.23, 2945.25 which indicate the presence of C-H stretching, C = O stretching of carboxylic acid, aldehyde and ketone 2111.28 which indicate the presence of C ≡ C, 1719.11 which indicate the presence of N-H bending of amines, 1680.31 which indicate the presence of C = O, C = C, 1488.63 which indicate the presence of C-N, 1028.22 which indicate the presence of C-O Table 8 Peak positions and probable inter-atomic bond of isolated compounds from Feretia apodanthera root methanol extract by FTIR IR Functional group 3234.23 -OH Stretching of alcohol and phenol 2945.25 C-H stretching, C = O stretching of carboxylic acid, aldehyde and ketone 2111.28 C ≡ C stretching 1719.11 N-H bending of amines 1680.31 C = O stretching of amide, C = C 1488.63 C-N stretching of amines 1028.22 C-O stretching Key: IR-Infrared radiation Table 9 Peak positions and probable inter-atomic bond of isolated compounds from Feretia apodanthera root methanol extract by FTIR IR Functional group 3234.23 -OH Stretching of alcohol and phenol 2945.25 C-H stretching, C = O stretching of carboxylic acid, aldehyde and ketone 2111.28 C ≡ C stretching 1719.11 N-H bending of amines 1680.31 C = O stretching of amide, C = C 1488.63 C-N stretching of amines 1028.22 C-O stretching Key: IR-Infrared radiation Discussion The toxicological assessment demonstrated the safety of the root extracts, with an LD 50 greater than 5000 mg/kg, indicating a wide margin of safety [ 10 ]. The absence of significant changes in hematological and biochemical parameters further supports their non-toxic nature when administered within the tested dosage range. Similar findings have been reported in previous toxicological studies of medicinal plants used in traditional medicine [ 14 ]. Assessment of the effects of plant extracts on body and organ weights in experimental animals is a crucial parameter in toxicity evaluation [ 15 ]. Alterations in body weight or relative organ weight may indicate impairment in organ function [ 16 ]. Generally, reductions in body and relative organ weights serve as simple yet sensitive indices of toxicity following exposure to potentially harmful substances [ 17 ]. In this study, the administration of F. apodanthera root extract via oral gavage for 28 days did not result in significant changes in body or relative organ weights of treated groups compared to the negative control. This suggests that the extract does not induce organ toxicity. The gradual, albeit non-significant, increase in body weight observed may be attributed to the nutritional value of the feed provided to the animals. Monitoring body weight during treatment provides insights into the general health status of animals, which is crucial in evaluating potential adverse effects [ 18 ]. The sub-chronic oral administration of methanol extract of F. apodanthera root significantly reduced white blood cell (WBC) counts at 1000 mg/kg, whereas neutrophil (Gran), monocyte/eosinophil/basophil combined percentage remained unchanged compared to the negative control. White blood cells play a critical role in immune defense, inflammation, and injury response [ 19 ]. A decline in WBC count, or leucopenia, can result from reduced WBC production in the bone marrow or increased destruction of these cells, which may indicate bone marrow suppression, viral infections, or toxic reactions [ 20 ]. Liver or spleen diseases, as well as autoimmune disorders can also contribute to WBC reductions. Regarding renal function, the sub-chronic administration of methanol extract of F. apodanthera roots led to a significant increase in serum sodium levels at 250 mg/kg and 500 mg/kg, while no significant changes were observed at 1000 mg/kg. Electrolytes, which are charged molecules, facilitate nutrient transport, waste removal, and water balance, and help stabilize the body's acid-base levels. Sodium homeostasis is regulated by the kidneys and adrenal glands. Low sodium levels can result from kidney or adrenal disorders, diuretics, or fluid retention; whereas high sodium levels commonly arise from dehydration [ 21 , 22 ]. Chloride levels fluctuate with sodium and can be affected by chronic lung disease, prolonged vomiting, or metabolic alkalosis [ 23 ]. Changes in serum chloride levels reflect alterations in fluid balance and acid-base status. The kidneys regulate acid-base balance by producing and excreting bicarbonate ions, with high or low bicarbonate levels indicating metabolic disturbances [ 21 ]. The observed reductions in serum sodium, chloride, and bicarbonate levels in this study may indicate tubular damage and necrosis, as supported by histopathological findings. Serum creatinine levels, a key indicator of renal function, did not show significant elevation in this study. However, increased plasma creatinine levels are typically associated with renal injury due to trauma, anuria, muscle damage, or muscular dystrophy [ 24 ]. Regarding liver function, sub-chronic oral administration of methanol extract of F. apodanthera roots significantly increased alanine transferase (ALT) levels at 250 mg/kg, while aspartate aminotransferase (AST) levels increased at 250 mg/kg, 500 mg/kg, and 1000 mg/kg. Elevated ALT, AST, alkaline phosphatase (ALP), and bilirubin levels indicate hepatic dysfunction. ALT is a specific marker of hepatocellular damage and can be elevated due to drug use or strenuous activity [ 25 ]. AST elevation results from liver cell injury, whereas increased ALP may stem from liver, bone, leukocyte, kidney, intestinal, or placental damage [ 26 ]. These findings suggest hepatocellular damage, as evidenced by histopathological examinations showing hyperpyknotic hepatocytes at higher extract doses. Kramp et al. [ 27 ] emphasized the importance of combining functional toxicology studies with histological examinations, as morphological analyses help localize toxin-induced damage. Histological assessment in this study revealed that administration of the methanol extract of F. apodonthera Comb roots at 1000 mg/kg did not induce histopathological alterations in the liver or kidney. However, at lower doses (250 mg/kg and 500 mg/kg), vascular congestion, necrosis, and hyperpyknotic hepatocytes were observed in the liver, while necrosis and lymphocyte hyperplasia congestion were noted in the kidney. These pathological changes likely contributed to alterations in biochemical and hematological markers of liver and kidney function, indicating potential dose-dependent toxicity. This finding aligns with Sagar and Vidyasagar [ 28 ], who reported mild cellular changes in the livers of animals treated with 250 mg/kg of an ethyl acetate extract of Caesalpinia bonduc . Conversely, Pillaia and Suresh [ 29 ] found that oral administration of methanolic C. bonduc seed extract at 400 mg/kg for 28 days was non-toxic to mice. Conclusion This study provides a comprehensive toxicological evaluation of the root of F. apodanthera , medicinal plant traditionally used for various therapeutic purposes. Acute and sub-chronic toxicity studies demonstrated that the root extracts were generally well tolerated, with no significant adverse effects observed on body weight, hematological parameters, or organ function at the tested doses. The calculated LD 50 values suggest a high margin of safety, though histopathological findings at certain doses indicated mild organ-specific effects, highlighting the need for cautious use. These findings underscore the importance of dose-dependent toxicity evaluations in herbal medicine research. While F. apodonthera root extract appears to have therapeutic potential, its long-term safety profile warrants further investigation. Future studies should include mechanistic toxicological assessments, chronic toxicity evaluations, and clinical trials to establish comprehensive safety guidelines for its medicinal use. Overall, this study provides valuable insights into the toxicological profiles of F. apodanthera , supporting its traditional uses and highlighting their potential for safe therapeutic applications. Abbreviations LD 50 – Lethal Dose, 50% MID - monocyte,eosiniphil and basophil count LYMP – lymphocyte RBC – Red blood Cell WBC – White Blood Cell GRAN - neutrophil count ALT - alanine aminotransferase AST - aspartate aminotransferase ALP - alkaline phosphatase BUKHAN – Bayero University Kano Herbarium Access Number FT-IR - Fourier Transformed Infrared GC-MS – Gas Chromatography-mass spectrometry WHO – Word Health Organisation OECD – The Organisation for Economic Co-operation and Development EDTA – Ethylene diaminetetraacetic acid PCV - packed cell volume PLT – Platelets MCHC - mean corpuscular haemoglobin concentration DW - Distilled Water FAR - F. apodanthera root LSD = Least significant difference IR-Infrared radiation Declarations Ethics approval and consent to participate: The Bayero University, Kano ethical Committee gave an approval for the use of the laboratory animals having being satisfied with the best practices in animal handling. Consent for publication: Not applicable Availability of data and materials: All data supporting the results reported in this article are available with the corresponding author. Competing interests: The authors declare that they have no competing interests Funding: Funding for the research was graciously provided by the Saadatu Rimi College of Education, Kumbotso, Kano State, Nigeria. Authors' contributions: H.M. undertook the full research and write-up, while B.S. supervised the research and edited the write-up. All authors read and approved the final manuscript. Acknowledgements: Not applicable References Hassan LG, Dangoggo SM, Hassan SW, Muhammad S, Umar KJ. Nutritional and anti-nutritional composition of S clerocarya birrea fruit juice. Nigerian J Basic Appl Sci. 2015;18(2):222–8. Robinson D. Nymphae odorata (White pond lily) in medical Herbalism. Mater Medical Pharmacology. 2009;11:231–3. Burkhill HM. (1985), The Useful Plants of West Tropical Africa . 2nd edition.;. 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Clarkson C, Maharaj VJ, Crouch NR, Grace OM, Pillay P, Matsabisa mg, Bhagwandin N, Smith PJ, Folb PI. (2004) In vitro antiplasmodial activity of medicinal plants native to South African. Journal of Ethnopharmacology.92(3): 177–91. 10.1016/j.jep.2004.02.011 . PMD: 15137999. Koch WJ, Taylor S. Les Phytotherapies Anti-infectieuses de la Foret-savane, Senegal (Afrique occidentale) III: Un Resume des Substances Phytochimiques et l' ActiviteAntimicrobienne de 43 Species. J Ethnopharmacol. 1992;25:315–38. Srisawat C. (2010), In vitro activity of a Combretum micranthum extract against herpes simplex virus type 1 and 2,.Antiviral Research; 21: 317–25. Giboney PT. (2005). In vitro activity of a Combretum micranthum extract against herpes simplex virus type 1 and 2, Antiviral Research ; 21: 317 – 25. Hall, Cash CO. In vitro pharmacodynamic evaluation of antiviral medicinal plants using a vector-based assay technique. J Appl Microbiol. 2012;99(6):1346–55. Kramp CH. Elevated serum digoxin levels in a patient taking digoxin and Siberian ginseng. Can Med Assoc J. 1974;15:293–5. Sagar A, Vidyasagar GM. Antioxidant and antibacterial activities of polyphenols from ethnomedicinal plants of Burkina Faso. Afr J Biotechnol. 2010;8:823–8. Pillaia SC. (2011). In vitro activity of a Combretum micranthum extract against herpes simplex virus type 1 and 2,.Antiviral Research; 21: 317–25. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 14 Apr, 2026 Reviews received at journal 13 Apr, 2026 Reviews received at journal 07 Apr, 2026 Reviewers agreed at journal 07 Apr, 2026 Reviewers agreed at journal 06 Apr, 2026 Reviews received at journal 05 Apr, 2026 Reviewers agreed at journal 03 Apr, 2026 Reviews received at journal 03 Apr, 2026 Reviewers agreed at journal 02 Apr, 2026 Reviewers agreed at journal 02 Apr, 2026 Reviewers agreed at journal 02 Apr, 2026 Reviewers agreed at journal 02 Apr, 2026 Reviewers agreed at journal 02 Apr, 2026 Reviewers invited by journal 01 Apr, 2026 Editor assigned by journal 01 Apr, 2026 Editor invited by journal 20 Mar, 2026 Submission checks completed at journal 19 Mar, 2026 First submitted to journal 19 Mar, 2026 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-9085137","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":618419372,"identity":"8a49e7b6-6c39-49f0-8bd0-ce166e02a60e","order_by":0,"name":"H. M. ABDULLAHI","email":"data:image/png;base64,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","orcid":"","institution":"Bayero University Kano","correspondingAuthor":true,"prefix":"","firstName":"H.","middleName":"M.","lastName":"ABDULLAHI","suffix":""},{"id":618419373,"identity":"f7f76c0d-d6fa-4873-b146-bbb1b057f931","order_by":1,"name":"B. S. Aliyu","email":"","orcid":"","institution":"Bayero University Kano","correspondingAuthor":false,"prefix":"","firstName":"B.","middleName":"S.","lastName":"Aliyu","suffix":""}],"badges":[],"createdAt":"2026-03-10 14:23:36","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9085137/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9085137/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106326395,"identity":"69c3c4a5-bbfd-483f-900b-71baafd73b0c","added_by":"auto","created_at":"2026-04-07 13:13:52","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1320651,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9085137/v1/db6d35a0-3b86-431b-916a-b4db1d237ec4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Toxicological Studies of Feretia apodanthera Del. Roots","fulltext":[{"header":"Background","content":"\u003cp\u003eToxicity studies are conducted to provide greater understanding of the potential intrinsic hazard of the test item and to estimate safety margins [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. These safety margins are used to determine an initial safe starting dose for clinical trials, a safe dose for continued use in humans through longer clinical trials, and ultimately to achieve successful review of registration dossiers to support marketing approval and use of new medicines within the wider population [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003cem\u003eFeretia apodanthera\u003c/em\u003e Del, is from the family Rubiaceae, a bush delicious shrub with winding or twisting branches, growing from 2 to 6 m tall [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], the leaf plate are elliptic to ovalate in shape with sometimes apiculate apex and rounded or cuneate base. The fruits are about 3\u0026ndash;7 mm in diameter. It is commonly known as kuru-kuru by Hausa/Fulani in Northern Nigeria being often found on ant-hills [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. \u003cem\u003eF. apodanthera\u003c/em\u003e has been shown to control inflammation due to its ability to reduce the activity of nuclear factor kappa β and nitric oxide which play significant roles in inflammation [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. It\u0026rsquo;s extracts have also been shown to have high antioxidant activity similar to quercetin and relatively high flavonoid content [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Mental conditions had been calmed using its extract. Taiwe \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e] reported that the extract of \u003cem\u003eF. apodanthera\u003c/em\u003e was effective against cognitive errors, oxidative stress, seizures and in repairing memory impairment.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eCollection and Identification of Plant Materials\u003c/h2\u003e \u003cp\u003eThe roots of \u003cem\u003eF. apodanthera\u003c/em\u003e were collected from Tsaure Village of Gwarzo Local Government Area, Kano State, Nigeria. They were identified and authenticated in the herbarium of the Plant Science and Biotechnology Department of Bayero University, Kano, by Dr. Yusuf Nuhu, and a deposition number, BUKHAN 0135, was given to the plant. A sample was deposited in the herbarium of the Department of Plant Science and Biotechnology, Bayero University, Kano, Nigeria.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eStudy Area\u003c/h3\u003e\n\u003cp\u003eToxicity study was conducted at Aminu Kano Teaching Hospital Pharmacology Lab Kano state and FTIR and GCMS conducted at Ahmadu Bello University, Zaria.\u003c/p\u003e\n\u003ch3\u003eFourier Transformed Infrared Spectroscopy Analysis (FT-IR)\u003c/h3\u003e\n\u003cp\u003eAir-dried sample of methanol fraction from selected plant species was analyzed for identification of characteristic functional groups using Fourier Transformed Infrared (FT-IR) spectrophotometer (Shimadzu 8400) at the Multi-User Laboratory, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria. A small quantity (0.1g) of extract sample and 0.025g of dry potassium bromide (KBr) were homogenized using mortar and pestle. A portion of the homogenized mixture was placed on the disc and pressed using a mini hand press to form a KBr thin film and the disc was placed in the FT-IR spectrophotometer in which spectra was measured by accumulating 64 scans at 4 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e resolution in the spectral range of 4000 to 400 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Percentage transmittance was plotted against wavelengths. The FT-IR spectra were used to identify the functional groups of active metabolites based on the peak values in the infra-red region.\u003c/p\u003e\n\u003ch3\u003ePreparation of Plant Extracts\u003c/h3\u003e\n\u003cp\u003eThe roots of the plant were cleaned, air dried and ground to coarse powder using grinding machine. The powder was stored in air tight containers for further use. Two hundreds grams (200 g) each of the powdered root was soaked into 2L each of hexane, ethyl acetate and methanol. The mixtures were allowed to stand for 3 days at room temperature (28 \u0026plusmn;\u0026thinsp;2\u0026ordm;C) with hourly agitations. Each extract was sieved through a muslin cloth, filtered through a Whatman (No.1) filter paper, poured unto a clean evaporating dish and placed on a water bath at 50\u003csup\u003eo\u003c/sup\u003e C until all the solvent evaporated [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e].\u003c/p\u003e\n\u003ch3\u003eGas chromatography-mass spectrum (GC-MS) analysis\u003c/h3\u003e\n\u003cp\u003eGC-MS analysis was conducted at the Multi-User Laboratory, Department of Chemistry, Ahmadu Bello University, Zaria, Kaduna State, Nigeria. The extracts were diluted to 1 mg/mL and 0.5 \u0026micro;L was separated on non-polar DB5-HT capillary column (20 m \u0026times; 0.18 mm) with 0.1 \u0026micro;m film (J and W Scientific) fitted to an AutoSystem XL GC-MS. The injector temperature was 270\u003csup\u003eo\u003c/sup\u003eC and the oven temperature was programmed at an initial temperature of 50\u003csup\u003eo\u003c/sup\u003eC for 1 min, rising at 25\u003csup\u003eo\u003c/sup\u003eC per minute to 160\u003csup\u003eo\u003c/sup\u003eC and maintained at that temperature for 1 min. The temperature was subsequently increased by 10\u003csup\u003eo\u003c/sup\u003eC per minute to 300\u003csup\u003eo\u003c/sup\u003eC and maintained at that temperature for a further 4.6 minutes. The carrier gas was helium at a constant pressure of 5kPa. The GC was directly interfaced with AutoSystem XL quadrapole mass spectrometer with an interface temperature of 270\u003csup\u003eo\u003c/sup\u003eC. Sample ionisation was by 70eV electron impact and was analysed in positive mode. Structural determination was by comparison of mass spectral patterns to ChemSpider data bases [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003cb\u003eAcute toxicity studies of methanol extract of\u003c/b\u003e \u003cb\u003eFeretiaapodanthera\u003c/b\u003e \u003cb\u003eroot\u003c/b\u003e \u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eLethal Dose (LD\u003csub\u003e50\u003c/sub\u003e) Determination\u003c/h2\u003e \u003cp\u003eThe method of Lorke [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] was employed. The phase I involved the oral administration of three different doses of 10, 100 and 1,000 mg/kg of the crude extract, to three different groups of three adult Wister albino rats. In a fourth group, three adult male Wister albino rats were administered with equivalent/volume of distilled water to serve as control. All the animals were orally administered with the extracts using a curved needle to which a catheter had been fixed. The animals were monitored closely every 30 minutes for the first 3 hours after administration of the crude extracts, and then hourly for the next 6 hours for any adverse effects. Then the animals were left for 72 hours for further observation.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eWhen no death occurred, the phase II was employed, only one animal was required in each group. Groups 1\u0026ndash;4 animals were orally given 1,500, 2,200, 3250 and 5,000mg/kg dose levels of the crude extract. All the animals were left for observation as in stage one.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eSub-Chronic Toxicity Experiment\u003c/h3\u003e\n\u003cp\u003eThe study was carried out in accordance with [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e] and OECD 407 [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e] guidelines. Twenty rats of either sex were fasted for 24 hours and separated into four groups of five rats each. Group 1 was regarded as the control and received normal saline, while rats in groups 2, 3 and 4 were given different graded doses/concentration of the extract (250 mg/kg, 500 mg/kg and 1000 mg/kg) body weight respectively daily for 28 days. The rats were fed with food and water for the duration of the experiment and regularly observed for general symptoms of toxicity including hyperactivity, sedation, salivation and subsequent death. Rats were weighed twice weekly and the average change in weight calculated. After the 28th day, the rats were sacrificed on the 29th day of the experiment by cervical dislocation, blood samples were collected for determination of biochemical and haematological parameters. Organs such as liver and kidney were removed for determination of organ weight ratio and histopathological examination.\u003c/p\u003e\n\u003ch3\u003eBiochemical Test\u003c/h3\u003e\n\u003cp\u003eBlood samples collected from the animals in plain bottles were allowed to clot and centrifuged at 3500 rpm for 10 minutes. The sera were separated, stored at -4\u0026deg;C for evaluation of biochemical parameters including alanine aminotransferase (ALT), aspartate aminotransferase (AST) levels and alkaline phosphatase (ALP) levels, serum bilirubin, serum urea nitrogen, creatinine, chloride, sodium, potassium, and bicarbonate using PlivaLachema test kits for kidney function test and Bio Vendor test kits for liver function test.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eHaematological Studies\u003c/h2\u003e \u003cp\u003eBlood samples were collected into EDTA bottles for estimation of packed cell volume (PCV), haemoglobin concentration (Hb), platelets (PLT), white blood cell count (WBC) and differentials, mean corpuscular haemoglobin concentration (MCHC), using an automated haematology analyser Sysmex KX21N.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eHistophathological Examination of Liver and Kidney\u003c/h2\u003e \u003cp\u003eThe liver and kidney of experimental rats were fixed in 10% formal saline for at least 48 hours.\u003c/p\u003e \u003cp\u003eThey were then processed routinely, and the tissues were embedded in paraffin wax. Histological sections were prepared of thickness 5\u0026ndash;6 \u0026micro;m and stained with routine haematoxylin and eosin. The sections were observed under microscope for tissue damage/changes. Photomicrographs of representative lesions were taken under different magnifications [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eAcute toxicity studies of methanolic extract of\u003c/strong\u003e \u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003eroots\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFrom the results of the acute toxicity studies (Table \u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), no death was recorded in the first phase. In the second phase, doses of 1500, 2250, 3250 and 5000mg/kg were used and no death was also recorded. The oral median lethal dose (LD\u003csub\u003e50\u003c/sub\u003e) for the methanolic root-extract of\u0026nbsp;\u003cem\u003eFeretia apodanthera\u003c/em\u003e was therefore estimated to be greater than 5000mg/kg and no sign of behavioural changes were also observed.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eAcute toxicity studies of methanolic extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e Roots\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eGroup\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003eNumber of Animals\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003eDose (mg/kg)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003eMortality recorded after 24hrs\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e\n \u003cp\u003ePhase I\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e1000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" morerows=\"3\" rowspan=\"4\"\u003e\n \u003cp\u003ePhase II\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e1500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e2250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e3250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eIV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\n \u003cp\u003e5000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0/1\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\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEffect of Methanolic Extract of\u003c/strong\u003e \u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003eRoot on Relative Organ Weight of Rats following 28 days Oral administration\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe effect of 28 days oral administration of methanolic root extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e is shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. There was no significant difference in the relative organ weight (kidney and liver) of the animals treated in any of the groups in comparison with control group from week 1 to week 4.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffect of oral administration of methanolic extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e roots on body weight (kg) of rats\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e\n \u003cp\u003eBody weight (kg)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eWeek 1\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003eWeek 2\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003eWeek 3\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003eWeek 4\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eDW 1ml/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e122.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.21\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e126.40\u0026thinsp;\u0026plusmn;\u0026thinsp;4.86\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e131.40\u0026thinsp;\u0026plusmn;\u0026thinsp;2.38\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e135.20\u0026thinsp;\u0026plusmn;\u0026thinsp;2.54\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eFAR1000mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e125.10\u0026thinsp;\u0026plusmn;\u0026thinsp;3.03\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e130.21\u0026thinsp;\u0026plusmn;\u0026thinsp;1.34\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e134.13\u0026thinsp;\u0026plusmn;\u0026thinsp;1.40\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e139.12\u0026thinsp;\u0026plusmn;\u0026thinsp;1.37\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eFAR 500mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e130.20\u0026thinsp;\u0026plusmn;\u0026thinsp;2.34\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e134.41\u0026thinsp;\u0026plusmn;\u0026thinsp;2.31\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e136.10\u0026thinsp;\u0026plusmn;\u0026thinsp;9.14\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e138.13\u0026thinsp;\u0026plusmn;\u0026thinsp;2.01\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eFAR 250mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e128.13\u0026thinsp;\u0026plusmn;\u0026thinsp;1.23\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e131.50\u0026thinsp;\u0026plusmn;\u0026thinsp;4.45\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e133.21\u0026thinsp;\u0026plusmn;\u0026thinsp;12.68\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e135.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.11\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eLSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e16.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e16.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e17.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e18.14\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\u003cbr\u003e\u003c/p\u003e\n\u003cdiv id=\"Sec15\" class=\"Section3\"\u003e\n \u003cp\u003e\u003cstrong\u003eKeys:\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eDW\u0026thinsp;=\u003c/strong\u003e\u0026thinsp;Distilled Water\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFAR\u0026thinsp;=\u003c/strong\u003e\u0026thinsp;\u003cem\u003eF. apodanthera\u003c/em\u003e root\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eLSD\u0026thinsp;=\u003c/strong\u003e\u0026thinsp;Least siginificant difference\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eEffect of Methanolic Extract of\u003c/strong\u003e \u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003eRoot on Relative Organ Weight of Rats following 28 days Oral administration\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eThe effect of 28 days oral administration of methanolic root extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e is shown in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. There was no significant difference in the relative organ weight (kidney and liver) of the animals treated in any of the groups in comparison with control group from week 1 to week 4.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\" style=\"margin-right: calc(63%); width: 37%;\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffect of Methanolic root extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e on Relative Organ Weight (kg) of Rats following 28days Oral administration\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\" style=\"width: 21.9008%;\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\" style=\"width: 33.2645%;\"\u003e\n \u003cp\u003eOrgans\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c2\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003eKidney\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003eLiver\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" style=\"width: 21.9008%;\"\u003e\n \u003cp\u003eDW 1ml/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e0.50\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e2.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" style=\"width: 21.9008%;\"\u003e\n \u003cp\u003eFAR1000mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e0.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e2.61\u0026thinsp;\u0026plusmn;\u0026thinsp;0.37\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" style=\"width: 21.9008%;\"\u003e\n \u003cp\u003eFAR 500mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e0.55\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e2.71\u0026thinsp;\u0026plusmn;\u0026thinsp;0.37\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" style=\"width: 21.9008%;\"\u003e\n \u003cp\u003eFAR 250mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e0.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e2.82\u0026thinsp;\u0026plusmn;\u0026thinsp;0.44\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\" style=\"width: 21.9008%;\"\u003e\n \u003cp\u003eLSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e0.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\" style=\"width: 16.5289%;\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 56.8182%;\"\u003eKeys:\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 56.8182%;\"\u003eDW\u0026thinsp;=\u0026thinsp;Distilled water\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 56.8182%;\"\u003eFAR\u0026thinsp;=\u0026thinsp;\u003cem\u003eF. apodanthera\u003c/em\u003e root\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" style=\"width: 56.8182%;\"\u003eLSD\u0026thinsp;=\u0026thinsp;Least siginificant difference\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eEffect of 28days Oral administration of Methanolic root Extract of\u003c/strong\u003e \u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003eon Haematological parameters of Rats\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eThe effect of 28day oral administration of methanolic leaf extract of \u003cem\u003eFeretia apodonthera\u003c/em\u003e is shown in Table \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. There was no significant difference in the LYMP (10*3/\u0026micro;L) Lymphocytes count, RBC(10*6\u0026micro;l), BC (10*3/\u0026micro;L) white blood cell, MID (monocyte,eosiniphil and basophil count) and GRAN (neutrophil count of the animals treated in any of the groups in comparison with control group from week 1 to week 4.\u0026nbsp;\u003c/p\u003e\n \u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffect of 28days Oral Administration of Methanolic Root extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e on Haematological Parameters of Rats\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\n \u003cp\u003eTreatment\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eWBC(10*3/\u0026micro;L)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003eLYMP(10*3/\u0026micro;L)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003eRBC(10*6\u0026micro;l)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003eGRAN\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003eLYMP (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c7\"\u003e\n \u003cp\u003eMID (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c8\"\u003e\n \u003cp\u003eGRAN (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eDW 1ml/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e4.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.19\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e5.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.25\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e5.81\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e2.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.25\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e59.11\u0026thinsp;\u0026plusmn;\u0026thinsp;1.46\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c7\"\u003e\n \u003cp\u003e4.90\u0026thinsp;\u0026plusmn;\u0026thinsp;0.29\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c8\"\u003e\n \u003cp\u003e33.38\u0026thinsp;\u0026plusmn;\u0026thinsp;1.51\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eMHL1000mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e4.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.33\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e4.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.31\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e5.90\u0026thinsp;\u0026plusmn;\u0026thinsp;0.13\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e2.20\u0026thinsp;\u0026plusmn;\u0026thinsp;0.29\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e58.12\u0026thinsp;\u0026plusmn;\u0026thinsp;1.25\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c7\"\u003e\n \u003cp\u003e5.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.36\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c8\"\u003e\n \u003cp\u003e36.80\u0026thinsp;\u0026plusmn;\u0026thinsp;1.15\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eMHL 500mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e4.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e5.20\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e5.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e2.03\u0026thinsp;\u0026plusmn;\u0026thinsp;0.26\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e58.12\u0026thinsp;\u0026plusmn;\u0026thinsp;1.55\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c7\"\u003e\n \u003cp\u003e5.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.63\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c8\"\u003e\n \u003cp\u003e35.05\u0026thinsp;\u0026plusmn;\u0026thinsp;1.91\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eMHL 250mg/kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e4.15\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e5.20\u0026thinsp;\u0026plusmn;\u0026thinsp;0.18\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e5.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e2.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e59.37\u0026thinsp;\u0026plusmn;\u0026thinsp;0.92\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c7\"\u003e\n \u003cp\u003e4.90\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c8\"\u003e\n \u003cp\u003e34.12\u0026thinsp;\u0026plusmn;\u0026thinsp;0.92\u003csup\u003eab\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eLSD\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e2.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c7\"\u003e\n \u003cp\u003e0.82\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c8\"\u003e\n \u003cp\u003e2.68\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eKey:\u0026nbsp;\u003c/strong\u003e%LYM (lymphocyte percentage), %MID (monocyte, eosiniphil and basophil combined percentage), %GRAN (neutrophil percentage), LYMP(10*3/\u0026micro;L) Lymphocytes count, MID (monocyte, eosiniphil and basophil count), GRAN (neutrophil count), RBC (red blood cell), WBC (white blood cell)\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003ekidney function\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eSodium: There are significant differences between the control and treated groups; meaning that there was significant increase in the level of sodium as the concentration of the extract decrease means the higher concentration of \u003cem\u003eFeretia apodanthera\u003c/em\u003e the lower level of sodium.\u003c/p\u003e\n \u003cp\u003eUrea: There were significant differences between the control and the treated groups (1000, 500 and 250mg/kg), meaning that there was significant increase in urea with the increase, in the concentration of extract.\u003c/p\u003e\n \u003cp\u003ePot: There was no significant difference between the 1000mg/kg and 500mg/kg, but there was significant difference between the control and treated groups (1000, 500 and 250mg/kg).\u003c/p\u003e\n \u003cp\u003eCrea: There was no significant difference between the 500mg/kg and 250mg/kg, but there was significant difference between the control and treated group.\u003c/p\u003e\n \u003cp\u003eWhile the treated group 1000mg/kg there was no significant difference compared with the control group.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003e\u003cem\u003eFeretia apodanthera\u003c/em\u003e kidney function\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eParameters\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eSOD (mmol/L)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003eUrea (mg/DL)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003ePOT (mmol/L)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003eCREA (MEQ/L)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e58.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e24.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003csup\u003ed\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e16.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0.77\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1000 mg/Kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e91.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e34.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e27.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0.77\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e500 mg/Kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e125.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e32.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e24.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0.85\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e250 mg/Kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e149.7\u0026thinsp;\u0026plusmn;\u0026thinsp;10.7\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e28.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4\u003csup\u003ec\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e22.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e0.93\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003csup\u003ea\u003c/sup\u003e\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\u003eMean value with different superscript on the same column differs significantly (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003eKey:\n\u003c/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\n \u003cp\u003eSod: Sodium\u003c/p\u003e\n \u003cp\u003ePot: Potassium\u003c/p\u003e\n \u003cp\u003eCrea: Creatinine\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eFeretia apodenthera\u003c/strong\u003e \u003cstrong\u003eliver function\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eALT: There is no significant differences between the control and treated groups (1000, 500 and 250mg/kg). AST: There was no significant difference between the control and treated groups (1000, 500 and 250mg/kg). ALP: There was no significant difference between the control and treated groups (1000, 500 and 250mg/kg). \u003cstrong\u003eTP\u003c/strong\u003e: There was significant difference between the treated groups (250mg/kg) compared with the control group but there was no significant difference between the control and treated groups (1000, 500mg/kg). Albumin: There was no significant difference between the control and treated groups (1000, 500 and 250mg/kg).\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003e\u003cem\u003eFeretia apodanthera\u003c/em\u003e liver function\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eParameters\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eALT(u/l)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003eAST(u/l)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003eALP(u/l)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003eTP(g/dl)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003eALB(g/dl)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eControl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e17.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e38.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e12.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.5\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e6.95\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e2.55\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1000 mg/Kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e17.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e49.0\u0026thinsp;\u0026plusmn;\u0026thinsp;9.9\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e17.0\u0026thinsp;\u0026plusmn;\u0026thinsp;6.4\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e6.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e2.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e500 mg/Kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e16.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e33.0\u0026thinsp;\u0026plusmn;\u0026thinsp;7.1\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e11.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e6.05\u0026thinsp;\u0026plusmn;\u0026thinsp;0.64\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e2.30\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e250 mg/Kg\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e17.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\n \u003cp\u003e43.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c4\"\u003e\n \u003cp\u003e11.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c5\"\u003e\n \u003cp\u003e5.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003csup\u003eb\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c6\"\u003e\n \u003cp\u003e2.25\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003csup\u003ea\u003c/sup\u003e\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\u003eMean value with different superscript on the same column differs significantly (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eKey\u003c/strong\u003e: ALT: Alanine amino transferase, AST: Aspartate amino transferase, ALP: Alkaline Phosphate, TP: Total protein, ALB: Albumin\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePhytoconstituents identified in the Methanolic extract of\u003c/strong\u003e \u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003eRoots by GCMS\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003eGCMS Test: Test of \u003cem\u003eFeretia apodanthera\u003c/em\u003e root revealed the presence of Palmitic acid and oleic acid Then penta fluoropropionic acid, and pyrogallol. Lupenol and Hexadecanoic acid.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003eTable 7: Phytoconstituents identified in the Methanolic extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e Root\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eby\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eGCMS\u003c/div\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cstrong\u003eKey:\u0026nbsp;\u003c/strong\u003eMZ- molecular mass ration\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003ePeak positions and probable inter-atomic bond of isolated compounds from\u003c/strong\u003e \u003cstrong\u003eFeretia apodanthera\u003c/strong\u003e \u003cstrong\u003eroot methanol extract by FTIR\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eFeretia apodenthera\u003c/em\u003e root methanol extract revealed the presence of -OH Stretching of alcohol and phenol functional group with peak value of 3234.23, 2945.25 which indicate the presence of C-H stretching, C\u0026thinsp;=\u0026thinsp;O stretching of carboxylic acid, aldehyde and ketone 2111.28 which indicate the presence of C\u0026thinsp;\u0026equiv;\u0026thinsp;C, 1719.11 which indicate the presence of N-H bending of amines, 1680.31 which indicate the presence of C\u0026thinsp;=\u0026thinsp;O, C\u0026thinsp;=\u0026thinsp;C, 1488.63 which indicate the presence of C-N, 1028.22 which indicate the presence of C-O\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003ePeak positions and probable inter-atomic bond of isolated compounds from \u003cem\u003eFeretia apodanthera\u003c/em\u003e root methanol extract by FTIR\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eIR\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eFunctional group\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e3234.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e-OH Stretching of alcohol and phenol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e2945.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC-H stretching, C\u0026thinsp;=\u0026thinsp;O stretching of carboxylic acid, aldehyde and ketone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e2111.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC\u0026thinsp;\u0026equiv;\u0026thinsp;C stretching\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1719.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eN-H bending of amines\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1680.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC\u0026thinsp;=\u0026thinsp;O stretching of amide, C\u0026thinsp;=\u0026thinsp;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1488.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC-N stretching of amines\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1028.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC-O stretching\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003eKey:\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\n \u003cp\u003eIR-Infrared radiation\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003cbr\u003e\u003c/div\u003e\u0026nbsp;\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003ePeak positions and probable inter-atomic bond of isolated compounds from \u003cem\u003eFeretia apodanthera\u003c/em\u003e root methanol extract by FTIR\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003eIR\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eFunctional group\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e3234.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003e-OH Stretching of alcohol and phenol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e2945.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC-H stretching, C\u0026thinsp;=\u0026thinsp;O stretching of carboxylic acid, aldehyde and ketone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e2111.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC\u0026thinsp;\u0026equiv;\u0026thinsp;C stretching\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1719.11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eN-H bending of amines\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1680.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC\u0026thinsp;=\u0026thinsp;O stretching of amide, C\u0026thinsp;=\u0026thinsp;C\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1488.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC-N stretching of amines\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colname=\"c1\"\u003e\n \u003cp\u003e1028.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c2\"\u003e\n \u003cp\u003eC-O stretching\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003eKey:\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\n \u003cp\u003eIR-Infrared radiation\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe toxicological assessment demonstrated the safety of the root extracts, with an LD\u003csub\u003e50\u003c/sub\u003e greater than 5000 mg/kg, indicating a wide margin of safety [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. The absence of significant changes in hematological and biochemical parameters further supports their non-toxic nature when administered within the tested dosage range. Similar findings have been reported in previous toxicological studies of medicinal plants used in traditional medicine [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eAssessment of the effects of plant extracts on body and organ weights in experimental animals is a crucial parameter in toxicity evaluation [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Alterations in body weight or relative organ weight may indicate impairment in organ function [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Generally, reductions in body and relative organ weights serve as simple yet sensitive indices of toxicity following exposure to potentially harmful substances [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. In this study, the administration of \u003cem\u003eF. apodanthera\u003c/em\u003e root extract via oral gavage for 28 days did not result in significant changes in body or relative organ weights of treated groups compared to the negative control. This suggests that the extract does not induce organ toxicity. The gradual, albeit non-significant, increase in body weight observed may be attributed to the nutritional value of the feed provided to the animals. Monitoring body weight during treatment provides insights into the general health status of animals, which is crucial in evaluating potential adverse effects [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe sub-chronic oral administration of methanol extract of \u003cem\u003eF. apodanthera\u003c/em\u003e root significantly reduced white blood cell (WBC) counts at 1000 mg/kg, whereas neutrophil (Gran), monocyte/eosinophil/basophil combined percentage remained unchanged compared to the negative control. White blood cells play a critical role in immune defense, inflammation, and injury response [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. A decline in WBC count, or leucopenia, can result from reduced WBC production in the bone marrow or increased destruction of these cells, which may indicate bone marrow suppression, viral infections, or toxic reactions [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Liver or spleen diseases, as well as autoimmune disorders can also contribute to WBC reductions.\u003c/p\u003e \u003cp\u003eRegarding renal function, the sub-chronic administration of methanol extract of \u003cem\u003eF. apodanthera\u003c/em\u003e roots led to a significant increase in serum sodium levels at 250 mg/kg and 500 mg/kg, while no significant changes were observed at 1000 mg/kg. Electrolytes, which are charged molecules, facilitate nutrient transport, waste removal, and water balance, and help stabilize the body's acid-base levels. Sodium homeostasis is regulated by the kidneys and adrenal glands. Low sodium levels can result from kidney or adrenal disorders, diuretics, or fluid retention; whereas high sodium levels commonly arise from dehydration [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Chloride levels fluctuate with sodium and can be affected by chronic lung disease, prolonged vomiting, or metabolic alkalosis [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Changes in serum chloride levels reflect alterations in fluid balance and acid-base status. The kidneys regulate acid-base balance by producing and excreting bicarbonate ions, with high or low bicarbonate levels indicating metabolic disturbances [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The observed reductions in serum sodium, chloride, and bicarbonate levels in this study may indicate tubular damage and necrosis, as supported by histopathological findings. Serum creatinine levels, a key indicator of renal function, did not show significant elevation in this study. However, increased plasma creatinine levels are typically associated with renal injury due to trauma, anuria, muscle damage, or muscular dystrophy [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eRegarding liver function, sub-chronic oral administration of methanol extract of \u003cem\u003eF. apodanthera\u003c/em\u003e roots significantly increased alanine transferase (ALT) levels at 250 mg/kg, while aspartate aminotransferase (AST) levels increased at 250 mg/kg, 500 mg/kg, and 1000 mg/kg. Elevated ALT, AST, alkaline phosphatase (ALP), and bilirubin levels indicate hepatic dysfunction. ALT is a specific marker of hepatocellular damage and can be elevated due to drug use or strenuous activity [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. AST elevation results from liver cell injury, whereas increased ALP may stem from liver, bone, leukocyte, kidney, intestinal, or placental damage [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. These findings suggest hepatocellular damage, as evidenced by histopathological examinations showing hyperpyknotic hepatocytes at higher extract doses. Kramp \u003cem\u003eet al.\u003c/em\u003e [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] emphasized the importance of combining functional toxicology studies with histological examinations, as morphological analyses help localize toxin-induced damage. Histological assessment in this study revealed that administration of the methanol extract of \u003cem\u003eF. apodonthera\u003c/em\u003e Comb roots at 1000 mg/kg did not induce histopathological alterations in the liver or kidney. However, at lower doses (250 mg/kg and 500 mg/kg), vascular congestion, necrosis, and hyperpyknotic hepatocytes were observed in the liver, while necrosis and lymphocyte hyperplasia congestion were noted in the kidney. These pathological changes likely contributed to alterations in biochemical and hematological markers of liver and kidney function, indicating potential dose-dependent toxicity. This finding aligns with Sagar and Vidyasagar [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e], who reported mild cellular changes in the livers of animals treated with 250 mg/kg of an ethyl acetate extract of \u003cem\u003eCaesalpinia bonduc\u003c/em\u003e. Conversely, Pillaia and Suresh [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e] found that oral administration of methanolic \u003cem\u003eC. bonduc\u003c/em\u003e seed extract at 400 mg/kg for 28 days was non-toxic to mice.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study provides a comprehensive toxicological evaluation of the root of \u003cem\u003eF. apodanthera\u003c/em\u003e, medicinal plant traditionally used for various therapeutic purposes.\u003c/p\u003e \u003cp\u003eAcute and sub-chronic toxicity studies demonstrated that the root extracts were generally well tolerated, with no significant adverse effects observed on body weight, hematological parameters, or organ function at the tested doses. The calculated LD\u003csub\u003e50\u003c/sub\u003e values suggest a high margin of safety, though histopathological findings at certain doses indicated mild organ-specific effects, highlighting the need for cautious use. These findings underscore the importance of dose-dependent toxicity evaluations in herbal medicine research. While \u003cem\u003eF. apodonthera\u003c/em\u003e root extract appears to have therapeutic potential, its long-term safety profile warrants further investigation. Future studies should include mechanistic toxicological assessments, chronic toxicity evaluations, and clinical trials to establish comprehensive safety guidelines for its medicinal use. Overall, this study provides valuable insights into the toxicological profiles of \u003cem\u003eF. apodanthera\u003c/em\u003e, supporting its traditional uses and highlighting their potential for safe therapeutic applications.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003col\u003e\n\u003cli\u003eLD\u003csub\u003e50 \u003c/sub\u003e\u0026ndash; Lethal Dose, 50%\u003c/li\u003e\n\u003cli\u003eMID - monocyte,eosiniphil and basophil count\u003c/li\u003e\n\u003cli\u003eLYMP \u0026ndash; lymphocyte\u003c/li\u003e\n\u003cli\u003eRBC \u0026ndash; Red blood Cell\u003c/li\u003e\n\u003cli\u003eWBC \u0026ndash; White Blood Cell\u003c/li\u003e\n\u003cli\u003eGRAN - neutrophil count\u003c/li\u003e\n\u003cli\u003eALT - alanine aminotransferase\u003c/li\u003e\n\u003cli\u003eAST - aspartate aminotransferase\u003c/li\u003e\n\u003cli\u003eALP - alkaline phosphatase\u003c/li\u003e\n\u003cli\u003eBUKHAN \u0026ndash; Bayero University Kano Herbarium Access Number\u003c/li\u003e\n\u003cli\u003eFT-IR - Fourier Transformed Infrared\u003c/li\u003e\n\u003cli\u003eGC-MS \u0026ndash; Gas Chromatography-mass spectrometry\u003c/li\u003e\n\u003cli\u003eWHO \u0026ndash; Word Health Organisation\u003c/li\u003e\n\u003cli\u003eOECD \u0026ndash; The Organisation for Economic Co-operation and Development\u003c/li\u003e\n\u003cli\u003eEDTA \u0026ndash; Ethylene diaminetetraacetic acid\u003c/li\u003e\n\u003cli\u003ePCV - packed cell volume\u003c/li\u003e\n\u003cli\u003ePLT \u0026ndash; Platelets\u003c/li\u003e\n\u003cli\u003eMCHC - mean corpuscular haemoglobin concentration\u003c/li\u003e\n\u003cli\u003eDW - Distilled Water\u003c/li\u003e\n\u003cli\u003eFAR - \u003cem\u003eF. apodanthera \u003c/em\u003eroot\u003c/li\u003e\n\u003cli\u003eLSD = Least significant difference\u0026nbsp;\u003c/li\u003e\n\u003cli\u003eIR-Infrared radiation\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eEthics approval and consent to participate: \u003c/strong\u003eThe Bayero University, Kano ethical Committee gave an approval for the use of the laboratory animals having being satisfied with the best practices in animal handling.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eConsent for publication: \u003c/strong\u003eNot applicable\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAvailability of data and materials: \u003c/strong\u003eAll data supporting the results reported in this article are available with the corresponding author.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCompeting interests: \u003c/strong\u003eThe authors declare that they have no competing interests\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eFunding: \u003c/strong\u003eFunding for the research was graciously provided by the Saadatu Rimi College of Education, Kumbotso, Kano State, Nigeria.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAuthors' contributions: \u003c/strong\u003eH.M. undertook the full research and write-up, while B.S. supervised the research and edited the write-up. All authors read and approved the final manuscript.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAcknowledgements: \u003c/strong\u003eNot applicable\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eHassan LG, Dangoggo SM, Hassan SW, Muhammad S, Umar KJ. Nutritional and anti-nutritional composition of S\u003cem\u003eclerocarya birrea\u003c/em\u003e fruit juice. Nigerian J Basic Appl Sci. 2015;18(2):222\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRobinson D. \u003cem\u003eNymphae odorata\u003c/em\u003e (White pond lily) in medical Herbalism. Mater Medical Pharmacology. 2009;11:231\u0026ndash;3.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBurkhill HM. (1985), \u003cem\u003eThe Useful Plants of West Tropical Africa\u003c/em\u003e. 2nd edition.;. Vol 1:Pp 505\u0026ndash;615 Royal Botanic Gardens: Kew, Great Britain.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEne AC, Atawodi SE. Ethnomedicinal survey of plants used by the Kanuris of North-eastern Nigeria. Indian Joural Traditional Knowl. 2012;11(4):640\u0026ndash;5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDuke J. (2005). Duke\u0026rsquo;s Phytochemical and Ethnobotanical Databases. \u003cem\u003eArtemisia annua\u003c/em\u003e.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOwolabi OO, James DB, Sani I, Andongma BT, Fasanya OO, Kure B. Phytochemical analysis, antioxidant and anti-inflammatory potential of \u003cem\u003eFeretia apodanthera\u003c/em\u003e root bark extracts. BMC Complement Altern Med. 2018;18(1):1\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTaiwe GS, Moto FCO, Ayissi ERM, Ngoupaye GT, Njapdounke JSK, Nkantchoua GCN, Kouemou N, Omam JPO, Kandeda AK, Pale S, Pahaye D, Naavgo-Bum E. Effects of a lyophilized aqueous extract of \u003cem\u003eFeretia apodanthera\u003c/em\u003e Del. (Rubiaceae) on pentylenetetrazole-induced kindling, oxidative stress, and cognitive impairment in mice. Epilepsy Behav. 2009;43:100\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWorld Health Organization. Quality Control Methods for Medicinal Plants. Geneva, Switzerland: WHO; 2011. p. 31.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIan EC, Frederick RK. Gas chromatography-Mass Spectroscopy analysis of a \u003cem\u003eXanthorrhoeo johnsonii\u003c/em\u003e extract displaying apparent Anaesthetic effects. J Nat Pharm. 2012;3(2):78\u0026ndash;88.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLorke D. A new Approach to Practical Acute Toxicity Testing. Archives Toxicol J. 1983;54:275\u0026ndash;87.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWHO. Quality Control Methods for Medicinal Plant Materials. Geneva: World Health Organization; 1992.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOECD. Lignedirectrice de l\u0026rsquo;ocde pour les essais de produitschimiques 423 - Toxicit\u0026eacute;oraleaigu\u0026euml; - m\u0026eacute;thodes par classe de toxit\u0026eacute;aigu\u0026euml;. Organization for Economic Cooperation and Development; 1995.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBancroft LGR. Overview of dietary flavonoids: nomenclature, occurence and intake. J Nutr. 1982;133:S3248\u0026ndash;54.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEkor M. The growing use of herbal medicines: Issues relating to adverse reactions and challenges in monitoring safety. Front Pharmacol. 2014;4:177.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOlurunnisola BO. Phytochemical Studies and Comparative Efficacy of the Crude extracts of some Homeostatic plants in Edo and Delta States of Nigeria. Global J Pure Appl Sci. 2012;8:203\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAmresh,Sombi\u0026eacute; PAED, Hashim R, Sulaiman SF, Sulaiman O. GC-MS Analysis and Antibacterial Activities of \u003cem\u003eFeretia apodanthera\u003c/em\u003e Del.(Rubiaceae) and \u003cem\u003eOzoroa insignis\u003c/em\u003e Del.(Anacardiaceae). J Med Plants. 2008;5(3):52\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTeo M, Biagi C, De Feo V, Zollo F, Pizza C. (2002) Flavonoids of \u003cem\u003eCombretum micranthum\u003c/em\u003e. \u003cem\u003eFitoterapia\u003c/em\u003e, LXI, (5), 477.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSharma H, Tang G, Go VLW. Hypoglycemic herbs and their action mechanisms. Chin Med. 2009;4:11\u0026ndash;21.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAbramson N, Melton B. Interaction of a series of coumarins with reactive oxygen species: scavenging of superoxide, hypochlorous acid and hydroxyl radicals. Biochem Pharmacol. 2000;44:205\u0026ndash;14.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGeorge-Gay B, Parker K. Undersatnding the complete blood count with differential. J PeriAnesthesia Nurs. 2003;18:96\u0026ndash;114. http://doi.org/10.1053.jpan.2003.500013.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHalpering, Goldstein. Anticonvulsant effect of Sclerocarya birrea (A. Rich.)Hochst.subsp. caffra (Sond)Kokwaro (Anacardiaceae) stem-bark aqueous extract in mice. J Nat Med. 1994;61(1):67\u0026ndash;72.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eClarkson C, Maharaj VJ, Crouch NR, Grace OM, Pillay P, Matsabisa mg, Bhagwandin N, Smith PJ, Folb PI. (2004) \u003cem\u003eIn vitro\u003c/em\u003e antiplasmodial activity of medicinal plants native to South African. Journal of Ethnopharmacology.92(3): 177\u0026ndash;91. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jep.2004.02.011\u003c/span\u003e\u003cspan address=\"10.1016/j.jep.2004.02.011\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. PMD: 15137999.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKoch WJ, Taylor S. Les Phytotherapies Anti-infectieuses de la Foret-savane, Senegal (Afrique occidentale) III: Un Resume des Substances Phytochimiques et l' ActiviteAntimicrobienne de 43 Species. J Ethnopharmacol. 1992;25:315\u0026ndash;38.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSrisawat C. (2010), \u003cem\u003eIn vitro\u003c/em\u003e activity of a \u003cem\u003eCombretum micranthum\u003c/em\u003e extract against herpes simplex virus type 1 and 2,.Antiviral Research; 21: 317\u0026ndash;25.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGiboney PT. (2005). \u003cem\u003eIn vitro\u003c/em\u003e activity of a \u003cem\u003eCombretum micranthum\u003c/em\u003e extract against herpes simplex virus type 1 and 2, \u003cem\u003eAntiviral Research\u003c/em\u003e; 21: 317\u0026thinsp;\u0026ndash;\u0026thinsp;25.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHall, Cash CO. In vitro pharmacodynamic evaluation of antiviral medicinal plants using a vector-based assay technique. J Appl Microbiol. 2012;99(6):1346\u0026ndash;55.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKramp CH. Elevated serum digoxin levels in a patient taking digoxin and Siberian ginseng. Can Med Assoc J. 1974;15:293\u0026ndash;5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSagar A, Vidyasagar GM. Antioxidant and antibacterial activities of polyphenols from ethnomedicinal plants of Burkina Faso. Afr J Biotechnol. 2010;8:823\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePillaia SC. (2011). \u003cem\u003eIn vitro\u003c/em\u003e activity of a \u003cem\u003eCombretum micranthum\u003c/em\u003e extract against herpes simplex virus type 1 and 2,.Antiviral Research; 21: 317\u0026ndash;25.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-plant-biology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pbio","sideBox":"Learn more about [BMC Plant Biology](http://bmcplantbiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/pbio/default.aspx","title":"BMC Plant Biology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Toxicological study, roots, Feretia apodanthera, rats, herbal medicine","lastPublishedDoi":"10.21203/rs.3.rs-9085137/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9085137/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003e \u003cem\u003eFeretia apodanthera\u003c/em\u003e, a shrub with twisting branches, has been traditionally used in folk medicine to treat erectile dysfunction and digestive disorders. This study investigates the toxicological properties of the roots of this plant.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eToxicological evaluation followed Lorke\u0026rsquo;s method and was conducted in two phases. In the first phase, rats received doses of 10, 100, and 1000 mg/kg without any fatalities. In the second phase, higher doses (1500, 2250, 3250, and 5000 mg/kg) were administered, also without mortality. The estimated LD\u003csub\u003e50\u003c/sub\u003e was greater than 5000 mg/kg. Additionally, oral administration of methanolic extracts at doses of 250, 500, and 1000 mg/kg over a four-week period showed no significant alterations in kidney or liver function compared to control groups. Hematological and biochemical analyses (MID, LYMP, RBC, WBC, GRAN, ALT, AST, ALP, chloride, and sodium levels) also demonstrated no adverse effect. These findings suggest that the root extracts \u003cem\u003eof F. apodanthera\u003c/em\u003e is safe for human consumption at tested doses, with no observable toxicity or negative impact on kidney and liver function.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThis study provides insights into the safety and therapeutic potential of these medicinal plants, supporting their continued use in herbal medicine. Human clinical trials should be conducted to validate the efficacy and safety of these plant extracts in treating specific health conditions. Comparative studies with existing pharmaceutical drugs should be explored to determine their potential as alternative or complementary therapies.\u003c/p\u003e","manuscriptTitle":"Toxicological Studies of Feretia apodanthera Del. 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