Abstract

Info

Title:: Bioinformatics analysis of gene expression changes of synovial tissue in osteoarthritis

Author(s):: DING Ning; YANG Qingshan; SHI Songbo; LI Jinlong; LIU Jie; The First Department of Orthopedics, Gansu Provincial Hospital, Lanzhou 730000, China

Keywords:: Keywords: osteoarthritis synovial tissue differentially expressed gene bioinformatics analysis

Abstract:: Abstract: Objective To explore the gene expression changes of synovial tissue in osteoarthritis (OA) through bioinformatics analysis. Methods GSE55235 and GSE12021 were obtained from GEO database for data analysis and identification of differentially expressed genes (DEGs). The analyses of functional enrichment, protein-protein interaction network, and hub genes were performed on the identified DEGs. Subsequently, transcription factors (TFs) and miRNA related to hub genes were predicted for constructing an interaction network. Results A total of 249 DEGs were obtained through analysis, and functional enrichment analysis revealed that gene enrichment was dominant in inflammatory response, extracellular matrix, extracellular region, and TNF signaling pathway. From the DEGs, 10 hub genes were selected, and the TFs and miRNA analyses identified 242 TFs and 212 miRNAs associated with them. Conclusion The analysis of DEGs in OA synovial tissue highlights significant genetic changes during OA development, primarily involving processes related to inflammatory regulation and response. The predictions of TFs and miRNAs associated with key genes provide further insights into the molecular regulatory network.