Gene Expression and Demographic Analyses in Women With the Poor Ovarian Response: A Computational Approach Publisher Pubmed



Bahrami N¹ ; Nazari A¹ ; Afshari Z¹ ; Aftabsavad S¹ ; Moini A^{2, 3, 4} ; Noormohammadi Z¹ Show Affiliations
Source: Journal of Assisted Reproduction and Genetics Published:2023

Abstract

Purpose: Poor response to ovarian stimulation (POR) typically is reflected as decreased follicular response and low estradiol (E2) levels following ovarian stimulation by FSH/HMG. Many genes are involved in oocyte maturation, and demographic features and lifestyle can affect the oocyte maturity and developmental competence. The present study was conducted to investigate the magnitude of gene expression and lifestyle habits in POR women as compared to healthy women, using different statistical and computational methods. Methods: Fifty women in the two groups were studied. The study groups included POR women (n = 25) with 1–9 released oocytes, and the control group (normal women, n = 25) with 9–15 released oocytes. Quantitative PCR was used to estimate the expression of FIGLA, ZAR1, WNT4, LHX8, APC, H1FOO, MOS, and DMC1 genes in granulosa cells. Results: The results showed no significant difference in the magnitude of the studied genes’ expression and linear discriminant analysis did not differentiate the studied groups based on all the genes together. Redundancy analysis (RDA) and latent factor mixed model (LFMM) results produce no significant association between the genes’ expression magnitude and the geographical variables of the patients’ local habitat. Linear discriminant analysis (LDA) of the demographic features differentiated the two groups of women. Conclusion: Our results indicate that demographic features may have an effect on sample gene expression levels. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.