Li Kaiyuan, Liu Peng, Wang Xiuqi, Zheng Zhipeng, Liu Miao, Ye Jun, Zhu Li
Graduate School of Dalian Medical University, Dalian Medical University, Dalian, China.
Department of Cardiovascular Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Front Genet. 2024 Aug 30;15:1382502. doi: 10.3389/fgene.2024.1382502. eCollection 2024.
The intricate relationship among gut microbiota, serum metabolites, and immunophenotypes may significantly impact myocarditis. However, direct causal links between these domains and myocarditis are not well understood.
The study performed Mendelian randomization (MR) analysis using genetic data from public sources. Exposure data included 211 gut microbiota, 486 serum metabolites, and 731 immunophenotypes from Mibiogen, the Metabolomics GWAS server, and GWAS catalog databases. Single nucleotide polymorphisms (SNPs) were selected as instrumental variables based on established criteria. Myocarditis data from GWAS (427,911 participants, 24, 180, 570 SNPs) were used as the outcome variable. MR analysis was conducted using Inverse Variance Weighting (IVW), with Cochran's Q test for heterogeneity and Egger's intercept to assess horizontal pleiotropy.
9 gut microbiota, 10 serum metabolites, and 2 immunophenotypes were negatively associated with myocarditis risk. In contrast, 5 gut microbiota, 12 serum metabolites, and 7 immunophenotypes were positively associated with myocarditis risk (all, < 0.05). Sensitivity analyses confirmed the stability of these results.
This MR study suggests that gut microbiota, serum metabolites, and immunophenotypes may causally influence myocarditis risk. These findings provide genetic evidence for myocarditis etiology and could inform future precision prevention and treatment strategies.
肠道微生物群、血清代谢物和免疫表型之间的复杂关系可能会对心肌炎产生重大影响。然而,这些领域与心肌炎之间的直接因果关系尚未得到充分理解。
本研究使用来自公共来源的遗传数据进行孟德尔随机化(MR)分析。暴露数据包括来自Mibiogen、代谢组学全基因组关联研究(GWAS)服务器和GWAS目录数据库的211种肠道微生物群、486种血清代谢物和731种免疫表型。根据既定标准选择单核苷酸多态性(SNP)作为工具变量。来自GWAS的心肌炎数据(427,911名参与者,24,180,570个SNP)用作结果变量。使用逆方差加权(IVW)进行MR分析,采用 Cochr an Q检验评估异质性,采用Egger截距评估水平多效性。
9种肠道微生物群、10种血清代谢物和2种免疫表型与心肌炎风险呈负相关。相比之下,5种肠道微生物群、12种血清代谢物和7种免疫表型与心肌炎风险呈正相关(均P<0.05)。敏感性分析证实了这些结果的稳定性。
这项MR研究表明,肠道微生物群、血清代谢物和免疫表型可能因果性地影响心肌炎风险。这些发现为心肌炎病因提供了遗传学证据,并可为未来的精准预防和治疗策略提供参考。