类风湿关节炎差异表达基因筛选、生物信息学分析及其潜在治疗药物的预测

Screening and bioinformatics analysis of differentially expressed genes for rheumatoid arthritis,and prediction of potential therapeutic drugs

目的筛选类风湿关节炎(RA)差异表达基因,对差异表达基因进行生物信息学分析,并预测潜在的RA治疗药物。方法采用GEO2R在线工具软件分析RA数据集GSE97779和GSE1919,获得RA差异表达基因。通过String数据库构建RA差异表达基因蛋白质相互作用(PPI)网络,通过Cytoscape软件cytoHubba插件筛选出核心基因,并进行差异表达基因功能富集分析、通路富集分析和RA潜在治疗药物的预测。结果共筛选出了100个RA差异表达基因,其中上调基因77个,下调基因23个;最终得到具有81个节点、383条边的PPI网络;GO和KEGG富集分析显示差异表达基因主要富集于免疫反应、质膜外侧面、CXCR3趋化因子受体结合和细胞因子-细胞因子受体相互作用通路。在药物基因相互作用数据库中发现了3个潜在治疗药物,分别是马拉维克、阿利法西普、艾地氯喹。结论RA样本中共有100个差异表达基因;差异表达基因主要富集于细胞因子活性、G蛋白偶联受体结合、细胞因子-细胞因子受体相互作用和趋化因子信号通路等;马拉维克、阿利法西普、艾地氯喹是RA潜在的治疗药物。

Objective To screen out the differentially expressed genes of rheumatoid arthritis(RA),and to conduct bioinformatics analysis on the differentially expressed genes and to explore the potential therapeutic drugs for RA.Methods Two RA datasets GSE97779 and GSE1919 were analyzed by GEO2R online tool software to obtain RA differentially expressed genes.The Protein-Protein Interaction(PPI)network was constructed through the String database,the core genes were screened out through the Cytoscape software cytoHubba plug-in,and meanwhile,the differentially expressed gene function enrichment analysis,pathway enrichment analysis,and RA potential therapeutic drug prediction were performed.Results A total of 100 RA differentially expressed genes were screened out,including 77 up-regulated genes and 23 down-regulated genes.Finally,81 nodes and 383 edges were obtained from PPI network.GO and KEGG enrichment analysis showed that the differentially expressed genes were mainly enriched in immune response,the outer side of the plasma membrane,CXCR3 chemokine receptor binding and cytokine-cytokine receptor interaction pathway.Three potential therapeutic drugs were found in the DGI database,namely maraviroc,alefacept,aldesleukin.Conclusions There are 100 differentially expressed genes in RA samples.The differentially expressed genes are mainly enriched in cytokine activity,G-protein coupled receptor binding,cytokine-cytokine receptor interaction,and chemokine signaling pathways.Maraviroc,alefacept,aldesleukin are the potential therapeutic drugs for RA.