Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility

Background: Polycystic ovarian syndrome (PCOS) is a leading cause of infertility and metabolic dysfunction in women, characterized by hyperandrogenism, anovulation, and insulin resistance. Cumulus cells play a crucial role in folliculogenesis and oocyte maturation, necessitating a deeper understandi...

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Main Authors: Sikiru, Akeem Babatunde, Mat Isa, Nurulfiza, Abass, Kasim Sakran, Adeniran, Muibat Adesola, Egena, Stephen Sunday Acheneje, Akinola, Karimot
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2025
Online Access:http://psasir.upm.edu.my/id/eprint/120355/
http://psasir.upm.edu.my/id/eprint/120355/1/120355.pdf
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author Sikiru, Akeem Babatunde
Mat Isa, Nurulfiza
Abass, Kasim Sakran
Adeniran, Muibat Adesola
Egena, Stephen Sunday Acheneje
Akinola, Karimot
author_facet Sikiru, Akeem Babatunde
Mat Isa, Nurulfiza
Abass, Kasim Sakran
Adeniran, Muibat Adesola
Egena, Stephen Sunday Acheneje
Akinola, Karimot
author_sort Sikiru, Akeem Babatunde
building UPM Institutional Repository
collection Online Access
description Background: Polycystic ovarian syndrome (PCOS) is a leading cause of infertility and metabolic dysfunction in women, characterized by hyperandrogenism, anovulation, and insulin resistance. Cumulus cells play a crucial role in folliculogenesis and oocyte maturation, necessitating a deeper understanding of their molecular alterations impact in PCOS. Method: This study investigates transcriptomic differences in cumulus cells between PCOS and non-PCOS women using high-throughput RNA sequencing data obtained from the NCBI Gene Expression Omnibus (GEO) database (accession number: GSE277906). The RNA sequencing data from 23 PCOS and 17 non-PCOS women were analyzed to identify differentially expressed genes (DEGs) using R-based computational pipelines. Results: Differential gene expression analysis identified 3245 significantly dysregulated genes, comprising 1723 upregulated and 1522 downregulated genes in PCOS samples. Functional enrichment analysis revealed that key DEGs (CDH5, CLEC4D, and GNAT1) were associated with follicular development, insulin signaling, and immune response. Gene Set Enrichment Analysis (GSEA) further identified dysregulation in metabolic and reproductive pathways, including ribonucleoprotein complex biogenesis and vascular endothelial growth factor (VEGF) signaling. Conclusion: This study highlights that altered gene expression in cumulus cells may impair oocyte competence, potentially influencing fertility outcomes in PCOS patients. GNAT1, previously linked to diabetes, emerged as a novel gene potentially involved in PCOS pathophysiology. However, these findings are derived from a single-center dataset which requires experimental validation. Future studies should incorporate qRT-PCR validation and functional assays in larger and ethically diverse cohorts as means for development of targeted therapeutic interventions to mitigate the reproductive consequences of PCOS.
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spelling upm-1203552025-10-01T00:22:10Z http://psasir.upm.edu.my/id/eprint/120355/ Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility Sikiru, Akeem Babatunde Mat Isa, Nurulfiza Abass, Kasim Sakran Adeniran, Muibat Adesola Egena, Stephen Sunday Acheneje Akinola, Karimot Background: Polycystic ovarian syndrome (PCOS) is a leading cause of infertility and metabolic dysfunction in women, characterized by hyperandrogenism, anovulation, and insulin resistance. Cumulus cells play a crucial role in folliculogenesis and oocyte maturation, necessitating a deeper understanding of their molecular alterations impact in PCOS. Method: This study investigates transcriptomic differences in cumulus cells between PCOS and non-PCOS women using high-throughput RNA sequencing data obtained from the NCBI Gene Expression Omnibus (GEO) database (accession number: GSE277906). The RNA sequencing data from 23 PCOS and 17 non-PCOS women were analyzed to identify differentially expressed genes (DEGs) using R-based computational pipelines. Results: Differential gene expression analysis identified 3245 significantly dysregulated genes, comprising 1723 upregulated and 1522 downregulated genes in PCOS samples. Functional enrichment analysis revealed that key DEGs (CDH5, CLEC4D, and GNAT1) were associated with follicular development, insulin signaling, and immune response. Gene Set Enrichment Analysis (GSEA) further identified dysregulation in metabolic and reproductive pathways, including ribonucleoprotein complex biogenesis and vascular endothelial growth factor (VEGF) signaling. Conclusion: This study highlights that altered gene expression in cumulus cells may impair oocyte competence, potentially influencing fertility outcomes in PCOS patients. GNAT1, previously linked to diabetes, emerged as a novel gene potentially involved in PCOS pathophysiology. However, these findings are derived from a single-center dataset which requires experimental validation. Future studies should incorporate qRT-PCR validation and functional assays in larger and ethically diverse cohorts as means for development of targeted therapeutic interventions to mitigate the reproductive consequences of PCOS. Springer Science and Business Media Deutschland GmbH 2025 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/120355/1/120355.pdf Sikiru, Akeem Babatunde and Mat Isa, Nurulfiza and Abass, Kasim Sakran and Adeniran, Muibat Adesola and Egena, Stephen Sunday Acheneje and Akinola, Karimot (2025) Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility. Middle East Fertility Society Journal, 30 (1). art. no. 28. pp. 1-12. ISSN 1110-5690; eISSN: 2090-3251 https://mefj.springeropen.com/articles/10.1186/s43043-025-00241-w 10.1186/s43043-025-00241-w
spellingShingle Sikiru, Akeem Babatunde
Mat Isa, Nurulfiza
Abass, Kasim Sakran
Adeniran, Muibat Adesola
Egena, Stephen Sunday Acheneje
Akinola, Karimot
Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility
title Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility
title_full Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility
title_fullStr Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility
title_full_unstemmed Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility
title_short Transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in PCOS-related infertility
title_sort transcriptomic profiling of cumulus cells reveals dysregulated genes and pathways in pcos-related infertility
url http://psasir.upm.edu.my/id/eprint/120355/
http://psasir.upm.edu.my/id/eprint/120355/
http://psasir.upm.edu.my/id/eprint/120355/
http://psasir.upm.edu.my/id/eprint/120355/1/120355.pdf