Association between human blood metabolome and risk of myocarditis: a mendelian randomization study.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Ziyi Wang, Haonan Tian, Jun Wang
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引用次数: 0

Abstract

Myocarditis is a common disease of the cardiovascular and immune systems, but the relationship between relevant blood metabolites and the risk of myocarditis has not been well-established. To identify potential biometabolic markers associated with myocarditis, we conducted a two-sample Mendelian randomization (MR) study. We performed preliminary MR analysis using the inverse variance weighted (IVW) method, supplemented by MR-Egger, weighted median, and weighted mode methods to adjust for false discovery rate (FDR). Confounders were screened using the GWAS Catalog website. Sensitivity analyses included Cochrane Q-test, Egger regression, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), scatterplots, funnel plots, and forest plots. For genetic and directional analysis, we employed co-localization analysis and the Steiger test. MR analysis was performed using the FinnGen database and meta-analysis was performed using the IEU database. MR analysis identified significant correlations for five metabolic biomarkers after FDR correction. These included four known metabolites: kynurenine, 1-stearoyl-GPE (18:0), deoxycarnitine, and 5-acetylamino-6-formylamino-3-methyluracil, as well as one unknown metabolite, X-25,422. Among these, kynurenine (OR = 1.441, 95%CI = 1.089-1.906, p-value = 0.018) and 1-stearoyl-GPE (18:0) (OR = 1.263, 95%CI = 1.029-1.550, p-value = 0.029) were identified as risk factors for myocarditis, while deoxycarnitine (OR = 0.813, 95%CI = 0.676-0.979, p-value = 0.029), 5-acetylamino-6-formylamino-3-methyluracil (OR = 0.864, 95% CI = 0.775-0.962, p-value = 0.018), and X-25,422 (OR = 0.721, 95%CI = 0.587-0.886, p-value = 0.009) were found to be protective factors. No evidence of heterogeneity, horizontal pleiotropy, or sensitivity issues was observed, and no shared genetic factors between exposure and outcome were detected. The causality was in the correct direction. Meta-analysis further confirmed the causal relationship between the five metabolites and myocarditis. This study identifies a causal relationship between five circulating metabolites and myocarditis. Kynurenine, 1-stearoyl-GPE (18:0), deoxycarnitine, X-25,422, and 5-acetylamino-6-formylamino-3-methyluracil may serve as potential drug targets for myocarditis, providing a theoretical basis for the prevention, diagnosis, and treatment of the condition.

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人体血液代谢组与心肌炎风险之间的关系:一项孟德尔随机研究。
心肌炎是心血管系统和免疫系统的常见疾病,但相关血液代谢物与心肌炎风险之间的关系尚未得到很好的确定。为了确定与心肌炎相关的潜在生物代谢标志物,我们进行了一项双样本孟德尔随机化(MR)研究。我们使用反方差加权(IVW)法进行了初步的MR分析,并辅以MR-Egger、加权中位数和加权模式法来调整误发现率(FDR)。使用 GWAS Catalog 网站对混杂因素进行了筛选。敏感性分析包括 Cochrane Q 检验、Egger 回归、孟德尔随机化多向性 RESidual Sum and Outlier (MR-PRESSO)、散点图、漏斗图和森林图。在遗传和方向分析方面,我们采用了共定位分析和 Steiger 检验。磁共振分析使用 FinnGen 数据库进行,荟萃分析使用 IEU 数据库进行。经过 FDR 校正后,MR 分析确定了五种代谢生物标志物的显着相关性。其中包括四种已知代谢物:犬尿氨酸、1-硬脂酰基-GPE (18:0)、脱氧肉碱和 5-乙酰氨基-6-甲酰氨基-3-甲基尿嘧啶,以及一种未知代谢物 X-25,422。其中,犬尿氨酸(OR = 1.441,95%CI = 1.089-1.906,p 值 = 0.018)和 1-硬脂酰-GPE(18:0)(OR = 1.263,95%CI = 1.029-1.550,p 值 = 0.029)被确定为心肌炎的危险因素,而脱氧肉碱(OR = 0.813,95%CI = 0.676-0.979,P值 = 0.029)、5-乙酰氨基-6-甲酰氨基-3-甲基尿嘧啶(OR = 0.864,95%CI = 0.775-0.962,P值 = 0.018)和X-25,422(OR = 0.721,95%CI = 0.587-0.886,P值 = 0.009)被认为是保护因素。没有观察到异质性、水平多效性或敏感性问题的证据,也没有发现暴露与结果之间存在共同的遗传因素。因果关系方向正确。元分析进一步证实了这五种代谢物与心肌炎之间的因果关系。本研究确定了五种循环代谢物与心肌炎之间的因果关系。犬尿氨酸、1-硬脂酰-GPE (18:0)、脱氧肉碱、X-25,422 和 5-乙酰氨基-6-甲酰氨基-3-甲基尿嘧啶可能成为心肌炎的潜在药物靶点,为心肌炎的预防、诊断和治疗提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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