Abstract:[Objective] To screen potential biomarkers associated with chondrocyte senescence in osteoarthritis (OA) by using bioinformatics analytics to provide a theoretical basis for unraveling the mechanisms of OA and exploring new therapeutic approaches. [Methods] The OA cartilage tissue datasets were downloaded from the Gene Expression Omnibus (GEO), and we used RStudio software to screen the deferentially expressed genes (DEGs) and perform enrichment analysis. Then, the DEGs were intersected with the SenMayo senescence gene set obtained to screen Hub genes, which were validated and identified. Finally, we used the miRNet online platform and Cytoscape software to construct the competitive endogenous RNA (ceRNA) network. [Results] A total of 272 DEGs were obtained from data sets GSE169077 and GSE114007 after difference analysis and intersection. The GO analysis showed that DEGs were mainly concentrated in extracellular matrix organization, extracellular structure organization, etc. The KEGG analysis showed that DEGs were mainly enriched in the PI3K-Akt signaling pathway, focal adhesion, etc. IGF1 and MMP2 were identified as the Hub genes. We constructed the ceRNA networks and screened out 3 groups of RNA regulatory pathways: KCNQ1OT1/XIST-hsa-mir-16-5p-IGF1, KCNQ1OT1/XIST-hsa-mir-424- 5p-MMP2, KCNQ1OT1/XIST-hsa-mir-377-3p-IGF1/MMP2. [Conclusion] IGF1 and MMP2 can act as the Hub genes of chondrocyte senescence in OA. KCNQ1OT1/XIST-hsa-mir-16-5p-IGF1, KCNQ1OT1/XIST-hsa-mir-424-5p-MMP2, KCNQ1OT1/XIST-hsa-mir377-3p-IGF1/MMP2 might be potential RNA regulatory pathways to regulate the chondrocyte Senescence of OA.