扩张型心肌病核心基因及其免疫浸润生物信息学分析

目的利用生物信息学分析筛选扩张型心肌病(DCM)发生的相关核心基因并分析其免疫细胞浸润情况。方法从GEO数据库中下载基因芯片数据集,利用多种算法分析差异表达基因,进行功能富集,构建加权共表达网络及蛋白互作网络,鉴定核心基因,挖掘免疫细胞的浸润情况,并利用外部数据集验证核心基因的诊断效能。结果共筛选出35个差异基因和包含114个基因的核心模块。其中,F13A1、VSIG4、CD163、RNASE2及LYVE1被鉴定为核心基因。DCM组织与健康心肌中的记忆B细胞、浆细胞、Tregs细胞、活化NK细胞、M2型巨噬细胞及中性粒细胞的含量具有统计学意义。结论筛选出的5个核心基因和6种免疫细胞可能参与了DCM的发生发展。

Bioinformatics analysis of the core genes and immune infiltrate in dilated cardiomyopathy

To screen the hub genes related to the occurrence of dilated cardiomyopathy (DCM) and analyze the infiltration of immune cells by bioinformatics. MethodsThe data set was downloaded from the GEO database, and a variety of algorithms were used to analyze differentially expressed genes, enrich function, construct a weighted co-expression network and protein-protein interaction network, identify hub genes, and investigate the infiltrating landscape of immune cells. Subsequently, the external data set was used to further validate the diagnostic ability of hub genes. ResultsA total of 35 DEGs and a hub module (114 genes) were identified. Among them, F13A1, VSIG4, CD163, RNASE2 and LYVE1 could be used as hub genes. The contents of memory B cells, plasma cells, Tregs cells, activated NK cells, M2-type macrophages and neutrophils in DCM tissue were significantly different from those in healthy myocardium. ConclusionFive hub genes and six types of immune cells may be involved in the occurrence and development of DCM.