Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Multiple Discriminant Analysis of Nr5a1, Gata4, Wt1 Gene Expressions, and Their Snps in Poor Ovarian Response Publisher



Noormohammadi Z1 ; Moini A2, 3, 4 ; Abkenar ED1 ; Talebi A1 ; Najafi AH1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran
  2. 2. Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
  3. 3. Breast Disease Research Center (BDRC), Tehran University Of Medical Science, Tehran, Iran
  4. 4. Department of Obstetrics and Gynecology, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran

Source: Gene Reports Published:2025


Abstract

Cumulus cells surrounding the oocyte might be good candidates to explore the possible mechanisms involved in poor ovarian response (POR). In the present study, we investigated if some hub gene expression levels in the pathway of development of oocytes would be associated with the number of oocytes. The genotyping of 15 SNPs of 3′ prime UTR regions of NR5A1, WT1, and GATA4 genes in 50 POR and control women blood samples was studied. Gene expression levels were calculated by qPCR in granulosa cells. Among SNPs studied, rs12458 of WT1 gene showed significant differences between POR and Non-POR groups (P < 0.05). Linkage disequilibrium analysis showed that rs915034 had significant r statistics with rs961782970 and rs1588613501 of NR5A1 (P < 0.05) as well as rs1253083037 with rs5030320 and rs7008652. Based on Linear discrimination analysis (LDA) significant differences were observed in gene expression levels between POR and non-POR groups (P > 0.05). Principle component analysis (PCA) Adonis revealed distinct differences between individuals of the two groups studied (P = 0.001). We found that some characteristics like age, BMI, and lifestyles such as usage of plastic wares, fast food, frozen food, and stress had significant correlations (P < 0.05) with WT1 gene expression level based on Multiple discriminant analysis (MCA) analysis. SNP genotypes of WT1 and GATA4 also had correlations with WT1 gene expression level while only rs12458, rs1062270, rs11785481, and rs57008652 in GATA4 gene showed a significant correlation with the down-regulation of WT1 gene expression. K means clustering based on protein-protein interaction (PPI) enrichment showed significant interactions (P = 0.00137) which may indicate at least partially biologically connected. The genotypes located at the 3′UTR sequence are associated with the level of gene expressions. WT1 gene expression could be used as a potential biomarker for POR women. A further survey is recommended on this pathway. © 2024 Elsevier Inc.