ArticleHeliyon2025
Identification of mitophagy-related biomarkers and immune infiltration in polycystic ovarian syndrome by bioinformatic study.
Article in Heliyon, 2025. 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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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.
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3 authors.
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Abstract
Background: Polycystic ovarian syndrome (PCOS) is a common endocrine and metabolic disorder in women of reproductive age. In this study, we aimed to investigate the potential prognostic value of mitophagy-related genes in PCOS patients and to analyze their role in immune infiltration during PCOS pathogenesis and progression. Methods: Training datasets were used for differential expression genes. Gene ontology annotations and Kyoto encyclopedia of genes and genomes signaling pathway enrichment analysis were performed. The potential biomarkers of mitophagy-related and immune infiltration in PCOS were screened by protein-protein interaction network using different algorithms, and the area under the curve was calculated to analyze their diagnostic value. The test datasets were used to validate the expression of hub genes, and receiver operating characteristic curves were used to evaluate the predictive effect of hub genes. Results: Five hub genes: Conclusions: The current study identified immune-mitophagy-related hub genes for prognostic biomarkers of PCOS, which provided an innovative insight for the prevention and treatment of PCOS.
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