冠状动脉粥样硬化性心脏病患者心外膜脂肪组织的生物信息学分析 后印本

Краткое изложение: Objective: This paper is mainly to identify the differential genes and possible pathogenesis of Epicardial adipose tissue (EAT) and Exosome in CAD patients at the cellular and molecular levels. Methods: We downloaded the GEO database and analyzed the genes differentially expressed in epicardial adipose tissue from healthy patients and coronary artery disease patients and established the Weighted gene co-expression network by using R language and related software packages. We also used GO/KEGG enrichment analysis and Metascape enrichment analysis to explore the protein interaction network and biological pathways of the choosen genes and analyzed key genes and pathways to find potential targets for use. Last, We interacted the differentially expressed genes in EAT and exosomes from healthy patients and coronary artery disease patients and Q-PCR was performed the genes which are higher expression. Results: Compared with the epicardial adipose tissue with healthy individuals, the epicardial adipose tissue of CAD patients had 1511 differential genes, including 956 genes with up-regulated expression and 555 genes with down-regulated expression. According to the WGCNA，the study identified 9 module which phenotype is the most highly associated with CAD. By interacting the differentially expressed genes and Hub genes in modules, we identified the key gene DDX47、FEM1C、NOL11、SRP54、ABI1、PATL1、BNIP2、 C1orf159、CHCHD4.A total of 129 differential genes were obtained by cross-tabbing EAT and EXO, and Q-PCR was performed to analyze the expression of BPI、BIRC5、CXCL12、RNASE1、F2R, the differences were proved to be significant after statistical analysis. GO enrichment analysis showed that differential genes were mainly involved in the cytosol、MHC protein complex integral component of lumenal side of endoplasmic reticulum membrane、lumenal side of endoplasmic reticulum membrane 、MHC class II protein complex. KEGG signaling pathway enrichment analysis is mainly for RNA degradation, antigen processing, and presentation. By TRRUST datasets, we predicted that transcription factors CIITA may play a vital role in epicardial adipose tissue.Conclusion: DDX47、FEM1C、NOL11、SRP54、ABI1、PATL1、BNIP2、 C1orf159、CHCHD4 is the key gene in the pathogenesis of epicardial adipose tissue (EAT). Immunocytic infiltration analysis showed that the abundance of naive CD4+ T cells in EAT which from CAD patients was significantly increased (P <0.05). BPI、BIRC5、CXCL12、RNASE1、F2R may excrete from epicardial adipose tissue and have the potential in CAD diagnosis.