Evidence map›Paper›PMID 40485087›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2025

Metformin-Driven Activation of Polymorphic Follicle-Stimulating Hormone Receptors for Polycystic Ovary Syndrome Treatment: A Computational Study.

Khalid J Alzahrani

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Polycystic ovarian syndrome (PCOS) is characterized by anovulation, hyperandrogenism, and, predominantly, insulin resistance. Such characteristics are often associated with disrupted follicle-stimulating hormone receptor (FSHR) function. Conventionally, metformin is commonly used to enhance insulin sensitivity, reduce androgen levels, and indirectly restore FSHR signalling. However, to date, there have been no binding studies investigating metformin-induced FSHR activation and its associated genetic polymorphisms in PCOS. MATERIAL AND METHODS The present study used a systematic approach to examine the structural consequences of wild-type and polymorphic variants of FSHR (A307T and N680S, respectively), along with metformin efficacy, through homology modelling, structural stability analysis, molecular docking, and dynamic simulations. RESULTS The three-dimensional structures of wild-type and variant (A307T and N680S, respectively) FSHR were modelled and validated using computational tools. Pathogenicity prediction revealed that these variants impact the structural stability of FSHR. Molecular docking calculations with metformin showed binding affinities for wild-type (-4.205 kcal/mol), A307T (-4.321 kcal/mol), and N680S (-4.294 kcal/mol). Molecular dynamics (MD) simulations revealed that metformin showed more stable confirmation with A307T and N680S variant forms than wild-type FSHR. These findings suggest that PCOS patients with the A307T and N680S polymorphisms may respond to metformin treatment better than those with wild-type. CONCLUSIONS Our computational findings suggest that PCOS patients with the A307T and N680S polymorphisms may exhibit a better response to metformin treatment than those with the wild-type FSHR, potentially enhancing ovulation activation in insulin-resistant individuals.

Indexed as

MetforminPolycystic Ovary SyndromeReceptors, FSHFemaleHumansInsulin ResistanceMolecular Docking SimulationMolecular Dynamics SimulationPolymorphism, GeneticPolymorphism, Single NucleotideFSHR protein, humanMetforminReceptors, FSH

Identifiers

PMID40485087
PMCPMC12164447

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