基于生物信息学方法筛选缺血性心肌病生物标志物的研究

Screening biomarkers for ischemic cardiomyopathy based on bioinformatics methods

目的:基于生物信息学方法筛选缺血性心肌病(ICM)潜在生物标志物,以期为ICM的诊疗提供依据。方法:基于NCBI网站基因表达综合数据库(GEO),利用R语言筛选健康心肌组织和ICM心肌组织差异表达基因(DEGs),对DEGs分别进行基因本体论(GO)、京都基因与基因组百科全书(KEGG)及蛋白-蛋白相互作用(PPI)分析,绘制ROC曲线验证目标靶基因。结果:基于高通量数据集GSE26887,以|LogFC|>1、校正的P<0.01(adj.P)为筛选条件得到135个上调表达基因、124个下调表达基因,GO和KEGG富集分析显示,ICM与Ras同源基因家族成员a(RHOA)的过表达、细胞外基质的变化、氧化还原酶活性、炎症反应的调节、肌肉系统进程、心脏传导系统等相关。结论:ICM与细胞外基质的变化、氧化还原酶活性等密切相关,通过筛选得到的差异明显基因及中心基因(hub gene),可能为ICM诊断、治疗提供新的靶点。

Objective:To screen potential biomarkers of ischemic cardiomyopathy(ICM)based on bioinformatics methods so as to provide basis for the diagnosis and treatment of ICM.Methods:Based on the GEO database of NCBI website,the differentially expressed genes(DEGs)in healthy myocardium and ICM myocardium were screened by R language.The DEGs were analyzed by gene ontology(GO),Kyoto gene and genome encyclopedia(KEGG)and protein-protein interaction(PPI),respectively,and ROC curves were drawn to verify the target genes.Results:Based on the high throughput data set GSE26887,135 up-regulated genes and 124 down-regulated genes were obtained under the screening condition of|logFC|>1 and corrected P<0.01(adj-P).GO and KEGG enrichment analysis showed that ICM was related to the overexpression of RHOA,changes of extracellular matrix,oxidoreductase activity,regulation of inflammatory response,muscle system process,cardiac conduction system and so on.Conclusion:ICM is closely related to the change of extracellular matrix and oxidoreductase activity.The differential genes and hub genes obtained by screening may provide new targets for diagnosis and treatment of ICM.