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Official PDF Translation•Chinese Journal of Tissue Engineering Research

WGCNA and machine learning identify autophagy and senescence signature genes in osteoarthritis chondrocytes

Authors: YANG Huaqun; Abudouainijiang¡Abulimiti; WANG Fazheng; Maimaitishawutiaji¡Maimaiti; LI Simi; Muhetaer¡Maimaitirexiati

DOI: 10.12307/2026.21480Status: Verified Translated Edition
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Key Findings in This Report

• Identified 26 autophagy- and senescence-related differentially expressed genes in osteoarthritis via bioinformatics and machine learning. • Six key genes (UBE2I, RPS6KB1, IL2RB, YEATS4, H4C8, TLR3) were screened with AUC > 0.8, showing high diagnostic value. • Immune infiltration analysis revealed significant changes in immune cell proportions in osteoarthritic cartilage, including increased M1 macrophages and decreased M2 macrophages. • TLR3 and IL2RB were validated as potential key genes and therapeutic targets for osteoarthritis.