ArticleInternational journal of women's health2026
Integrated Genomic Analysis Reveals New Diagnostic Biomarkers and Immune Mechanisms for Polycystic Ovary Syndrome.
Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: Polycystic ovary syndrome (PCOS) is a prevalent endocrine disorder associated with metabolic dysregulation and chronic inflammation. This study employed bioinformatics approaches to analyze the roles of neutrophil extracellular traps (NETs)-related genes (NETRGs) and mitochondria-related genes (MRGs) in PCOS pathogenesis. Methods: Through differential expression analysis, enrichment studies, and machine learning models, we identified 18 differentially expressed neutrophil extracellular trap- and mitophagy-related genes (NETMRDEGs), such as Results: The study identified distinct molecular clusters in PCOS patients based on the expression of NETMRDEGs. Cluster 2 exhibited higher immune infiltration (eg, gamma delta T cells and eosinophils) and severe metabolic dysfunction. The LASSO model achieved superior diagnostic performance (AUC: 0.93) compared to traditional biomarkers such as testosterone (AUC: 0.68). Experimental validation in a PCOS mouse model confirmed elevated expression of hub genes ( Conclusion: The interaction between NETRGs and MRGs forms a "dual-engine" mechanism driving PCOS pathogenesis. This study proposed a novel diagnostic model and therapeutic targets (eg, DNase I and urolithin A), advancing precision medicine for PCOS.
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