Screening of senescence-related biomarkers and analysis of immune cell infiltration in synovial tissue of osteoarthritis
Objective To screen and validate the aging-related diagnostic markers of synovial tissue in osteoarthritis(OA)by bioinformatics methods.Methods GSE206848,GSE55235 and GSE554573 datasets of bone and joint synovial tissue were obtained from Gene Expression Omnibus(GEO)database and GSE206848 differentially expressed genes(DEGs)were screened.Senescence-associated genes(SRGs)were downloaded from the CellAge database.Differentially expressed senescence-related genes(DESRGs)were obtained by in-tersection of DEGs and SRGs.Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)were analyzed,and protein-protein interaction(PPI)was analyzed by using STRING online database and Cyto-scape software.The predicted area under curve(AUC)value and gene expression level were verified.The key genes were verified by GSE55235 and GSE55457 datasets,and the immune infiltration analysis was performed by CIBERSORT.Results Finally,30 DESRGs were obtained.GOs were enriched in the regulation of tran-scription regulation,nucleoplasm and protein binding of RNA polymerase Ⅱ,while KEGGs were mainly en-riched in the signaling pathways such as"cellular senescence,endocrine resistance,and breast cancer".SNAI1,NOX4 and DHX9 were identified as synovial cell senescence-related diagnostic genes.OA synovial tissue con-tained fewer resting memory CD4-T cells(P=0.007),and there was a correlation between immune cells(P＜0.05).Diagnostic marker NOX4 was correlated with a variety of immune cells(P＜0.05).Conclusion Bioin-formatics analysis is used to screen out the diagnostic markers related to synovial aging in OA,which is help-ful to understand the pathogenesis of OA and provide research directions for targeted therapy in the future.
万方数据
维普
