Construction of Disease Model for Ferroptosis-Related Genes in Polycystic Ovary Syndrome and Prediction of Related Traditional Chinese Medicine Based on Weighted Gene Co Expression Network Analysis and Machine Learning
Objective:To use machine learning to analyze the correlation between ferroptosis-related genes and polycystic ovary syndrome(PCOS),construct diagnostic and prognostic risk models,explore the potential ferroptosis mechanisms of PCOS,and predict related traditional Chinese medicine(TCM).Methods:Ovarian tissue microarray data from the GEO database were standardized and merged.The weighted gene co expression network analysis(WGCNA)algorithm was applied to select ferroptosis feature genes related to PCOS.Functional enrichment analysis was performed on these genes,and multiple machine learning methods were used to construct and select disease models.The optimal disease feature genes were extracted,and a risk model was constructed to analyze their correlation with immune infiltrating cells and functions.Ferroptosis-related genes were used for TCM and small molecule compound prediction,and molecular docking was conducted to validate the interactions between small molecule compounds and ferroptosis targets.Results:A total of 26 strongly correlated ferroptosis-related genes associated with PCOS were identified,primarily involved in the Xc-system and iron metabolism pathways offerroptosis.The RF model with HMOX1,IFNA1,LPCAT3.FOXO4,and PARP3 as feature genes screened through WGCNA combined with machine learning has better simulation characteristics,and the disease risk of each gene expression is predicted by drawing column charts.The aforementioned model genes showed a positive correlation with PCOS incidence.Immune infiltration analysis suggested significant differences in the infiltration of multiple immune cells between the two groups.The predicted TCM components,including Danshen(Salviae Miltiorrhizae Radix)and Sanqi(Notoginseng Radix),may be potential molecular sources of drugs,with the highest matching degree between salvianolic acid B,puerarin,and astragaloside A in molecular docking.Conclusion:The ferroptosis-related gene model with HMOX1,IFNA1,LPCAT3,FOXO4,and PARP3 as feature genes can provide new insights for the early identification and treatment of POCS.Ferroptosis-related genes play a crucial role in PCOS through intervention in various pathways.Traditional Chinese medicine may mediate the ferroptosis pathway by regulating iron homeostasis in the intervention of PCOS.
万方数据
维普
