Impact of gut microbiota on metabolic syndrome and its comprising traits: a two-sample mendelian randomization study.

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Yaodong Zhang, Jinhai Fan
{"title":"Impact of gut microbiota on metabolic syndrome and its comprising traits: a two-sample mendelian randomization study.","authors":"Yaodong Zhang, Jinhai Fan","doi":"10.1186/s13098-024-01520-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The prevalence of metabolic syndrome is on the rise globally. Understanding the etiology and discovering potential treatment target have become a priority. Observational data have linked gut microbiota with metabolic syndrome and its comprising traits. However, whether these relations underlie causal effects remains unclear.</p><p><strong>Methods: </strong>Using Inver Variance Weighted (IVW) as primary analysis method, we performed two-sample Mendelian Randomization (MR) analyses to explore the causal relationship between gut microbiota and metabolic syndrome with its comprising traits. Methods including MR-Egger regression, MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO), Weighted Mode, and Weighted Median were chosen for additional MR analysis to test the robustness of MR results. Cochran's IVW Q test and leave-one-out IVW analysis tested the heterogeneity among instrumental variables (IVs). Steiger filtering was utilized to exclude all IVs with reverse causality. Genome-wide association study (GWAS) data used in this study were all from the largest respective GWAS studies available.</p><p><strong>Results: </strong>Out of 1172 tests, a total of 16 associations with evidence of causality were identified after sensitivity analyses, but only 3 remained after multiple testing correction. Class Melainabacteria (β = 0.02, adjusted P = 0.01) with affiliated order Gastranaerophilales (β = 0.02, adjusted P = 1.20*10<sup>- 3</sup>) and genus Eubacterium hallii (β = 0.03, adjusted P = 0.03) showed a positive effect on abdominal obesity. All effect sizes were small (abs(β) < 0.1). All causal relationships identified were unidirectional.</p><p><strong>Conclusions: </strong>Given the study's limitations, we found little evidence supporting a large causal effect, i.e. absolute effect size > 0.1, of gut microbial taxa abundance on metabolic syndrome and its comprising traits. This study also suggests that previously reported associations between gut microbiota and metabolic syndrome with its comprising traits may not necessarily lead to causal relations.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":"16 1","pages":"279"},"PeriodicalIF":3.4000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11585155/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetology & Metabolic Syndrome","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13098-024-01520-8","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The prevalence of metabolic syndrome is on the rise globally. Understanding the etiology and discovering potential treatment target have become a priority. Observational data have linked gut microbiota with metabolic syndrome and its comprising traits. However, whether these relations underlie causal effects remains unclear.

Methods: Using Inver Variance Weighted (IVW) as primary analysis method, we performed two-sample Mendelian Randomization (MR) analyses to explore the causal relationship between gut microbiota and metabolic syndrome with its comprising traits. Methods including MR-Egger regression, MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO), Weighted Mode, and Weighted Median were chosen for additional MR analysis to test the robustness of MR results. Cochran's IVW Q test and leave-one-out IVW analysis tested the heterogeneity among instrumental variables (IVs). Steiger filtering was utilized to exclude all IVs with reverse causality. Genome-wide association study (GWAS) data used in this study were all from the largest respective GWAS studies available.

Results: Out of 1172 tests, a total of 16 associations with evidence of causality were identified after sensitivity analyses, but only 3 remained after multiple testing correction. Class Melainabacteria (β = 0.02, adjusted P = 0.01) with affiliated order Gastranaerophilales (β = 0.02, adjusted P = 1.20*10- 3) and genus Eubacterium hallii (β = 0.03, adjusted P = 0.03) showed a positive effect on abdominal obesity. All effect sizes were small (abs(β) < 0.1). All causal relationships identified were unidirectional.

Conclusions: Given the study's limitations, we found little evidence supporting a large causal effect, i.e. absolute effect size > 0.1, of gut microbial taxa abundance on metabolic syndrome and its comprising traits. This study also suggests that previously reported associations between gut microbiota and metabolic syndrome with its comprising traits may not necessarily lead to causal relations.

Clinical trial number: Not applicable.

肠道微生物群对代谢综合征及其组成特征的影响:一项双样本泯灭随机研究。
背景:代谢综合征的发病率在全球呈上升趋势。了解病因和发现潜在的治疗目标已成为当务之急。观察数据表明,肠道微生物群与代谢综合征及其组成特征有关。然而,这些关系是否是因果效应的基础仍不清楚:方法:以反方差加权(IVW)为主要分析方法,我们进行了双样本孟德尔随机(MR)分析,以探讨肠道微生物群与代谢综合征及其伴随性状之间的因果关系。为了检验 MR 结果的稳健性,我们选择了 MR-Egger回归、MR Pleiotropy RESidual Sum and Outlier(MR-PRESSO)、加权模式和加权中位数等方法进行附加 MR 分析。Cochran的IVW Q检验和leave-one-out IVW分析检验了工具变量(IV)之间的异质性。利用 Steiger 过滤排除了所有具有反向因果关系的 IV。本研究使用的全基因组关联研究(GWAS)数据均来自现有最大的全基因组关联研究:结果:在 1172 项检测中,经过敏感性分析,共发现了 16 项具有因果关系证据的关联,但经过多重检测校正后,只剩下 3 项关联。Melainabacteria 类(β = 0.02,调整后 P = 0.01)及其附属的 Gastranaerophilales 目(β = 0.02,调整后 P = 1.20*10-3)和 Eubacterium hallii 属(β = 0.03,调整后 P = 0.03)对腹部肥胖有积极影响。所有效应量都很小(abs(β) 结论:鉴于研究的局限性,我们发现几乎没有证据支持肠道微生物类群丰度对代谢综合征及其组成性状具有较大的因果效应,即绝对效应量大于 0.1。这项研究还表明,之前报道的肠道微生物群与代谢综合征及其组成性状之间的关联不一定是因果关系:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信