ArticleHeliyon2024
Bioinformatics analysis of the role of RNA modification regulators in polycystic ovary syndrome.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Polyendocrine metabolic ovarian syndrome in pregnancy: pathophysiology and outcomes.Nature reviews. Endocrinology · 2026Review
- POLYCYSTIC OVARY SYNDROME: ORIGINS AND IMPLICATIONS: Genetics of polycystic ovary syndrome (PCOS).Reproduction (Cambridge, England) · 2025Review
- Mechanism of KLF7 in regulating the proliferation and apoptosis of granulosa cells in polycystic ovarian syndrome.Endocrine connections · 2025Article
- Identification and validation of biomarkers associated with glycolysis in polycystic ovarian syndrome.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Polycystic ovary syndrome (PCOS) is the most common metabolic and endocrine disorder affecting women of reproductive age. The pathogenesis of PCOS is influenced by factors such as race, genetics, environment, hyperandrogenemia, hyperinsulinemia, and obesity. However, the molecular mechanisms linking RNA modification and PCOS remain underexplored. This study aims to investigate the potential genetic and molecular pathways connecting RNA modification with PCOS through bioinformatics analyses. Methods: The GSE34526, GSE5850, and GSE98421 datasets were obtained from the National Center for Biotechnology Information Gene Expression Omnibus database. We identified intersecting differentially expressed genes (DEGs) and RNA modification-related genes within the GSE34526 dataset and visualized the overlaps using a Venn diagram. Subsequent analyses included Gene Ontology (GO), pathway enrichment (Kyoto Encyclopedia of Genes and Genomes), gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), and immune infiltration analysis. Additionally, we constructed a protein-protein interaction network as well as mRNA-miRNA, mRNA-RNA binding protein, and mRNA-transcription factor (TF) regulatory networks. The expression and receiver operating characteristic curves of hub genes were also identified. Results: The expression of several RNA modification-related DEGs (RMRDEGs) ( Conclusions: These findings suggest that there are gene and miRNA profile alterations exist in PCOS patients and highlight immune-related differences. This knowledge could pave the way for new research directions in the diagnosis and treatment of PCOS.
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Registered trials
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