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bioRxiv · 10.1101/2023.11.22.568234

Mice Models to Bioinformatics Methods Led to the Discovery of Antidiabetic Compounds in the F. racemosa Plant Extracts

Abstract

One of the primary health issues caused by inadequate blood sugar regulation is Diabetes Mellitus (DM). Diabetes and its consequences remain clinically significant even with the development of oral hypoglycemic medications. Therefore, Ficus racemosa (F. racemosa) plant has been studied for assessing of its antidiabetic potential coupling with animal model and in silico experiments. Drug Alloxan (150 mg/kg) was injected to induce the experimental diabetes in Swiss Albino mice, and two doses methanol extract of the F. racemosa fruit (300 and 500 mg/kg) along with glibenclamide (5 mg/kg) were given orally. Oral Glucose Tolerance Test (OGTT) and acute toxicity were performed as well in both diabetic and non-diabetic mice. Later, in silico experiments including ADMET profiling, molecular docking and simulations were performed. The administration of a dosage less than 3000 mg/kg has been observed to be well-tolerated by mice, with no reported instances of mortality or adverse effects. Following oral administration for 7 days, the blood glucose level (BGL) was significantly decreased in mice model in both doses of extracts, indicating the effect of F. racemosa. Subsequent to this, molecular docking and simulations have indicated that the SIRT1 receptor exhibits a higher binding affinity towards four specific compounds, namely Friedelin, Lupeol Acetate, Gluanol, and Ferulic Acid, as indicated by the dynamics parameters and interacting residues. The current investigation provided evidence that the fruit extract of F. racemosa significantly mitigated the hyperglycemic impact. Moreover, a total of four substances have been found that play a crucial role in the mechanisms behind the reduction of diabetic effects. Hence, the current investigation could potentially serve as a viable therapeutic approach in the treatment of diabetes.

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BibTeXRIS

Hossain, M. U., Rahman, A. B. Z. N., Hossain, M. S., Dey, S., Chowdhury, Z. M., Bhattacharjee, A., Ahammad, I., Hasan, M. K., Ahmed, I., Hosen, M. B., Das, K. C., Keya, C. A., Salimullah, M.. 2023-11-22. Mice Models to Bioinformatics Methods Led to the Discovery of Antidiabetic Compounds in the F. racemosa Plant Extracts. https://doi.org/10.1101/2023.11.22.568234

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