Screening of rheumatoid arthritis biomarkers based on bioinformatics
QI Guozhen
SHEN Qianqian
ZHOU Ruipiao
CHEN Zonggang
Abstract：To assist in the diagnosis and treatment of rheumatoid arthritis(RA),we employed bioinformatics approaches to identi-fy and validate key biomarkers associated with RA.Firstly,the transcriptomic dataset of RA was obtained from the Gene Expression Omnibus(GEO)database.Differentially expressed genes were analyzed and screened,followed by functional enrichment analysis to in-vestigate their biological roles.Subsequently,six hub genes(CCR7,CD2,CD27,CD8A,GZMB and IL7R)were identified in the protein-protein interaction(PPI)network,and the expression levels of these genes were verified using independent datasets and real-time quantitative polymerase chain reaction(RT-qPCR).The study demonstrated that miR-9-5p and IL7R were the core components of a competing endogenous ribonucleic acid(CeRNA)network,and six key genes were identified.Among them,IL7R and miR-9-5p might play a crucial role in the progression of RA.This research can provide a new direction for the diagnosis and treatment of RA.
Keywords：Rheumatoid arthritisBiomarkersTranscriptomeNon-coding ribonucleic acidEnrichment analysis
Publication Date：2026-06-30
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：10( 234-243 )