生物医学工程研究2026，Vol.45Issue(3)：234-243,10.DOI:10.19529/j.cnki.1672-6278.2026.03.08
基于生物信息学筛选类风湿性关节炎的生物标志物
Screening of rheumatoid arthritis biomarkers based on bioinformatics
摘要
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.关键词
类风湿性关节炎/生物标志物/转录组/非编码核糖核酸/富集分析Key words
Rheumatoid arthritis/Biomarkers/Transcriptome/Non-coding ribonucleic acid/Enrichment analysis分类
医药卫生引用本文复制引用
祁国震,沈倩倩,周瑞飘,陈宗刚..基于生物信息学筛选类风湿性关节炎的生物标志物[J].生物医学工程研究,2026,45(3):234-243,10.基金项目
山东省自然科学基金项目(ZR2023ME164). （ZR2023ME164）
