Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa
Abstract Background Diabetes mellitus (DM) is a major health concern caused by poor blood sugar regulation. Despite oral hypoglycemic medications, diabetes and its complications remain clinically serious. Using animal models and in silico research, the antidiabetic potential of Ficus racemosa (F. ra...
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BMC
2025-07-01
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| Series: | BMC Complementary Medicine and Therapies |
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| Online Access: | https://doi.org/10.1186/s12906-025-04845-7 |
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| author | Mohammad Uzzal Hossain A. B. Z. Naimur Rahman Md. Shahadat Hossain Shajib Dey Zeshan Mahmud Chowdhury Arittra Bhattacharjee Ishtiaque Ahammad Mohammad Kamrul Hasan Istiak Ahmed Md. Billal Hosen Keshob Chandra Das Chaman Ara Keya Md. Salimullah |
| author_facet | Mohammad Uzzal Hossain A. B. Z. Naimur Rahman Md. Shahadat Hossain Shajib Dey Zeshan Mahmud Chowdhury Arittra Bhattacharjee Ishtiaque Ahammad Mohammad Kamrul Hasan Istiak Ahmed Md. Billal Hosen Keshob Chandra Das Chaman Ara Keya Md. Salimullah |
| author_sort | Mohammad Uzzal Hossain |
| collection | DOAJ |
| description | Abstract Background Diabetes mellitus (DM) is a major health concern caused by poor blood sugar regulation. Despite oral hypoglycemic medications, diabetes and its complications remain clinically serious. Using animal models and in silico research, the antidiabetic potential of Ficus racemosa (F. racemosa) has been assessed in this study. Materials and methods The methanol extract of F. racemosa fruits was prepared using suitable methods. After injecting Alloxan (150 mg/kg) into Swiss Albino mice to cause diabetes, both diabetic and non-diabetic animals underwent OGTT and acute toxicity testing. The antihyperglycemic action was assessed by administering oral doses of 300 and 500 mg/kg of the methanol extract of F. racemosa fruit, as well as 5 mg/kg of glibenclamide. Subsequently, in silico techniques such as ADMET profiling, molecular docking, and simulations were employed. Results The findings from this study suggest that mice have tolerated doses under 3000 mg/kg without death or side effects. In mice model, both doses of F. racemosa extracts effectively reduced blood glucose (BGL) after 7 days of oral administration. Molecular docking and simulations demonstrated that the SIRT1 receptor had a greater affinity for friedelin, lupeol acetate, gluanol, and ferulic acid. The molecular dynamics demonstrated that all the compounds are stable to the receptors, as revealed by RMSD, RMSF, Rg and SASA parameters. Conclusion This study found that F. racemosa fruit extract significantly reduced hyperglycemia. Furthermore, four compounds may significantly contribute to the treatment of diabetes by reducing blood glucose levels. Thus, the findings of the current study may strengthen future research in the identification of antidiabetic compounds. |
| format | Article |
| id | doaj-art-0bf3d943f08445dcb95590d7a597958d |
| institution | Kabale University |
| issn | 2662-7671 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Complementary Medicine and Therapies |
| spelling | doaj-art-0bf3d943f08445dcb95590d7a597958d2025-08-20T03:37:23ZengBMCBMC Complementary Medicine and Therapies2662-76712025-07-0125111610.1186/s12906-025-04845-7Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosaMohammad Uzzal Hossain0A. B. Z. Naimur Rahman1Md. Shahadat Hossain2Shajib Dey3Zeshan Mahmud Chowdhury4Arittra Bhattacharjee5Ishtiaque Ahammad6Mohammad Kamrul Hasan7Istiak Ahmed8Md. Billal Hosen9Keshob Chandra Das10Chaman Ara Keya11Md. Salimullah12Bioinformatics Division, National Institute of Biotechnology, GanakbariDepartment of Microbiology, Noakhali Science and Technology UniversityDepartment of Biotechnology and Genetic Engineering, Noakhali Science and Technology UniversityDepartment of Mathematics and Natural Sciences, BRAC UniversityBioinformatics Division, National Institute of Biotechnology, GanakbariBioinformatics Division, National Institute of Biotechnology, GanakbariBioinformatics Division, National Institute of Biotechnology, GanakbariFisheries Biotechnology Division, National Institute of Biotechnology, GanakbariDepartment of Pharmacy, Noakhali Science and Technology UniversityDepartment of Pharmacy, Noakhali Science and Technology UniversityMolecular Biotechnology Division, National Institute of Biotechnology, GanakbariDepartment of Biochemistry and Microbiology, North South UniversityMolecular Biotechnology Division, National Institute of Biotechnology, GanakbariAbstract Background Diabetes mellitus (DM) is a major health concern caused by poor blood sugar regulation. Despite oral hypoglycemic medications, diabetes and its complications remain clinically serious. Using animal models and in silico research, the antidiabetic potential of Ficus racemosa (F. racemosa) has been assessed in this study. Materials and methods The methanol extract of F. racemosa fruits was prepared using suitable methods. After injecting Alloxan (150 mg/kg) into Swiss Albino mice to cause diabetes, both diabetic and non-diabetic animals underwent OGTT and acute toxicity testing. The antihyperglycemic action was assessed by administering oral doses of 300 and 500 mg/kg of the methanol extract of F. racemosa fruit, as well as 5 mg/kg of glibenclamide. Subsequently, in silico techniques such as ADMET profiling, molecular docking, and simulations were employed. Results The findings from this study suggest that mice have tolerated doses under 3000 mg/kg without death or side effects. In mice model, both doses of F. racemosa extracts effectively reduced blood glucose (BGL) after 7 days of oral administration. Molecular docking and simulations demonstrated that the SIRT1 receptor had a greater affinity for friedelin, lupeol acetate, gluanol, and ferulic acid. The molecular dynamics demonstrated that all the compounds are stable to the receptors, as revealed by RMSD, RMSF, Rg and SASA parameters. Conclusion This study found that F. racemosa fruit extract significantly reduced hyperglycemia. Furthermore, four compounds may significantly contribute to the treatment of diabetes by reducing blood glucose levels. Thus, the findings of the current study may strengthen future research in the identification of antidiabetic compounds.https://doi.org/10.1186/s12906-025-04845-7Diabetes mellitusFicus racemosaMice modelOGTTDiabetic treatment |
| spellingShingle | Mohammad Uzzal Hossain A. B. Z. Naimur Rahman Md. Shahadat Hossain Shajib Dey Zeshan Mahmud Chowdhury Arittra Bhattacharjee Ishtiaque Ahammad Mohammad Kamrul Hasan Istiak Ahmed Md. Billal Hosen Keshob Chandra Das Chaman Ara Keya Md. Salimullah Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa BMC Complementary Medicine and Therapies Diabetes mellitus Ficus racemosa Mice model OGTT Diabetic treatment |
| title | Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa |
| title_full | Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa |
| title_fullStr | Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa |
| title_full_unstemmed | Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa |
| title_short | Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa |
| title_sort | harnessing animal model and computational experiments to discover antidiabetic compounds in ficus racemosa |
| topic | Diabetes mellitus Ficus racemosa Mice model OGTT Diabetic treatment |
| url | https://doi.org/10.1186/s12906-025-04845-7 |
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