In silico Study to Optimize the Dosage of Oleuropein with Metformin in Diabetes Management

Darshna M. Joshi; Jignesh Patel; Hardik Bhatt

doi:10.24996/ijs.2023.64.8.14

Authors

Darshna M. Joshi Department of Instrumentation and Control, Government Polytechnic Ahmedabad, Ahmedabad 380015, Gujarat, India https://orcid.org/0000-0003-4179-2764
Jignesh Patel Department of Instrumentation and Control, Institute of Technology, Nirma University, Ahmedabad 382481, Gujarat, India
Hardik Bhatt Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad 382481, Gujarat, India https://orcid.org/0000-0002-6431-0695

DOI:

https://doi.org/10.24996/ijs.2023.64.8.14

Keywords:

In silico, Diabetes, Olive Leaf Extract (Oleuropein), Quantification, Metformin T2DM

Abstract

Type 2 diabetes mellitus (T2DM) is a potentially fatal metabolic disorder worldwide, in this COVID-19 era. Long-term allopathic treatment has a variety of side effects, prompting the search for alternative therapies. Oleuropein, the primary bioactive ingredient of Olive Leaf Extract (OLE), has shown noteworthy actions to control T2DM. The present study provides a dynamic study of % improvement in GLUT4 concentration with different doses of metformin (150mg-500mg) in combination with 500mg using a dynamic in silico model developed in Cell Designer 4.4.2, a system biology tool. The results indicated that 300mg of metformin and 500mg of oleuropein is the optimum combination to treat diabetes, ensuring a 2% improvement in GLUT4 concentration and an effective reduction in the dose of the allopathic drug metformin when taken in combination with OLE for the improvement in T2DM. The optimal dose of metformin with oleuropein was obtained successfully using our proposed in silico dynamic model. The research could be used to create an in vivo model to examine the effectiveness of herbal medicine for T2DM.