Evidence map›Paper›PMID 40604816›Full record

ArticleBMC complementary medicine and therapies2025

Harnessing animal model and computational experiments to discover antidiabetic compounds in Ficus racemosa.

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 and 3 more

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Article in BMC complementary medicine and therapies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

13 authors.

Mohammad Uzzal Hossain *Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh.
A B Z Naimur Rahman *Department of Microbiology, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Shahadat Hossain *Department of Biotechnology and Genetic Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh.
Shajib Dey *Department of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.
Zeshan Mahmud Chowdhury *Bioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh.
Arittra BhattacharjeeBioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh.
Ishtiaque AhammadBioinformatics Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh.
Mohammad Kamrul HasanFisheries Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh.
Istiak AhmedDepartment of Pharmacy, Noakhali Science and Technology University, Noakhali, Bangladesh.
Md Billal HosenDepartment of Pharmacy, Noakhali Science and Technology University, Noakhali, Bangladesh.
Keshob Chandra DasMolecular Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh.
Chaman Ara KeyaDepartment of Biochemistry and Microbiology, North South University, Dhaka-1229, Bashundhara, Bangladesh.
Md SalimullahMolecular Biotechnology Division, National Institute of Biotechnology, Ganakbari, Ashulia, Savar, Dhaka-1349, Bangladesh. salim2969@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes 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

methodsThe 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.

resultsThe 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.

conclusionThis 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.

Indexed as

Diabetes Mellitus, ExperimentalFicusHypoglycemic AgentsPlant ExtractsAnimalsBlood GlucoseDisease Models, AnimalFruitMaleMiceMolecular Docking SimulationBlood GlucoseHypoglycemic AgentsPlant ExtractsDiabetes mellitusDiabetic treatmentFicus racemosaMice modelOGTT

Identifiers

PMID40604816
PMCPMC12220644

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