ArticleFunctional & integrative genomics2025
Exploring potential associations and biomarkers linked polycystic ovarian syndrome with atherosclerosis via comprehensive bioinformatics analysis, machine learning, and animal experiments.
Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Prediction of chemoresistance in ovarian cancer based on deep learning with pathological images.Functional & integrative genomics · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
Polycystic ovary syndrome (PCOS), a common endocrine condition affecting multiple systems, is tied to atherosclerosis (AS) progression among reproductive-aged women. The present study aimed to explore the underlying associations and uncover potential biological indicators for PCOS complicated with AS. Gene expression datasets for PCOS and AS were obtained from Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) from PCOS tissues (granulosa cells, adipose tissue, skeletal muscle) and arterial wall of AS were analyzed via weighted gene co-expression network analysis (WGCNA), protein-protein interaction (PPI) network, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Immune infiltration and chemokine/receptor-immunocyte networks were constructed to explore immune cell recruitment. Key findings were validated in PCOS and AS murine models. The gradient boosting machine (GBM) and the extreme gradient boosting (XGBoost) algorithms were employed to identify potential biomarkers, further verified by the AS murine model, nomograms, and PCOS murine model. We identified 238, 60, and 76 secretory protein-encoding DEGs in PCOS tissues (granulosa cells, adipose tissue, and skeletal muscle) and 604 key AS-related DEGs. The enrichment analysis suggested associations between immune inflammation, dysregulated lipid metabolism, insulin signaling, and PCOS-related AS. Then, immunoinfiltration analysis revealed elevated naive B cell, follicular T helper cell, and neutrophil proportions in AS samples. In addition, six chemokines (CCL5, CCL20, CCL23, CCL28, CXCL1, and CXCL6) were involved in four immunocyte recruitments (B cells, neutrophils, NK cells, and CD4
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.