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ABSTRACT: Background
Autophagy plays an essential regulatory role in the development of osteoarthritis (OA), its specific regulatory mechanism remains unclear. This work aims to study the critical genes related to autophagy in OA and explore their potential value.Methods
Datasets were downloaded from the publicly available GEO database, and differentially expressed autophagy-related genes (ARGs) were obtained. LASSO regression analysis, SVM-RFE algorithm, and RF algorithm were used to screen signature genes. The diagnostic accuracy of autophagy-related signature genes (ARSGs) in OA was determined through receiver operating characteristic (ROC) univariate analysis. The accuracy of the results was validated with an external dataset. Signature genes were analyzed for immune-related func
SUBMITTER: Cai Y
PROVIDER: S-EPMC12366513 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature