Huang Lu-Jie, Zhang Qiao-Xia, Valenzuela Robert K, Xu Jia-Chen, Yan Fang, Ma Jie
Medical Research Center, Xi'an Key Laboratory of Cardiovascular and Cerebrovascular Diseases, Xi'an No.3 Hospital, Xi'an, Shaanxi, 710018, China.
Department of Electron Microscope, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China.
Biochem Biophys Rep. 2022 Nov 21;32:101387. doi: 10.1016/j.bbrep.2022.101387. eCollection 2022 Dec.
Hypertension is a leading risk factor of cardiovascular disease and mortality in the population worldwide. Recently, hundreds of genomic loci were reported for hypertension by GWAS, however, the most SNPs are located in intergenic regions of genome, where a functional cause is difficult to determine. In the current study, a TWAS of hypertension was conducted using 452,264 individuals including 84,640 patients. KEGG and GO enrichment analyses were performed for the hypertension-related genes identified via TWAS. PPI network analysis based on the STRING database was also performed to detect TWAS-identified genes in hypertension. We have identified 18,420 genes from the GWAS summary data, and of those 1010 non-overlapping genes expression were significantly associated with hypertension after FDR correction (PFDR <0.05) in four tissues (left heart ventricle, aorta, whole blood, and peripheral blood). The KEGG and GO terms were mostly related to autoimmune mechanisms, and the autoimmune-related pathways have also been enriched using GO analysis for PPI genes. We further performed Mendelian randomization analysis, and the results supported a significant association between autoimmunity and hypertension. Moreover, 15 novel hypertension-susceptible genes were identified in all tissues, and five of the genes ( and ) were associated with autoimmune system, which provide further evidence supporting an autoimmune mechanism in hypertension. In summary, our study supports that an autoimmune mechanism plays an important role in the development of hypertension, and these findings will provide new biological insights that will assist in deciphering the molecular etiology of hypertension.
高血压是全球人群心血管疾病和死亡的主要危险因素。最近,全基因组关联研究(GWAS)报告了数百个与高血压相关的基因组位点,然而,大多数单核苷酸多态性(SNP)位于基因组的基因间区域,其功能原因难以确定。在本研究中,我们对452,264名个体(包括84,640名患者)进行了高血压的全转录组关联研究(TWAS)。对通过TWAS鉴定出的高血压相关基因进行了京都基因与基因组百科全书(KEGG)和基因本体(GO)富集分析。还基于STRING数据库进行了蛋白质-蛋白质相互作用(PPI)网络分析,以检测TWAS鉴定出的高血压相关基因。我们从GWAS汇总数据中鉴定出18,420个基因,其中1010个非重叠基因的表达在四个组织(左心室、主动脉、全血和外周血)中经错误发现率(FDR)校正后(PFDR <0.05)与高血压显著相关。KEGG和GO术语大多与自身免疫机制相关,并且通过对PPI基因的GO分析也富集了自身免疫相关途径。我们进一步进行了孟德尔随机化分析,结果支持自身免疫与高血压之间存在显著关联。此外,在所有组织中鉴定出15个新的高血压易感基因,其中5个基因(和)与自身免疫系统相关,这为高血压的自身免疫机制提供了进一步的证据支持。总之,我们的研究支持自身免疫机制在高血压的发生发展中起重要作用,这些发现将提供新的生物学见解,有助于阐明高血压的分子病因。