Integrated Genomic Analysis Reveals New Diagnostic Biomarkers and Immune Mechanisms for Polycystic Ovary Syndrome

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: T cells as key contributors. Moreover, protein-protein interaction (PPI) networks further elucidated functional synergies among NETMRDEGs. Results: ) and increased granulosa cell apoptosis. 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.