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孟德尔随机化分析揭示了人类肠道微生物群对腹部肥胖的因果影响。

Mendelian Randomization Analysis Reveals Causal Effects of the Human Gut Microbiota on Abdominal Obesity.

机构信息

Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China.

Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China.

出版信息

J Nutr. 2021 Jun 1;151(6):1401-1406. doi: 10.1093/jn/nxab025.

Abstract

BACKGROUND

Although recent studies have revealed an association between the composition of the gut microbiota and obesity, whether specific gut microbiota cause obesity has not been determined.

OBJECTIVES

The aim of this study is to determine the causal relationship between specific gut microbiota and abdominal obesity. Based on genome-wide association study (GWAS) summary statistics, we performed a 2-sample Mendelian randomization (MR) analysis to evaluate whether the gut microbiota affects abdominal obesity.

METHODS

Gut microbiota GWAS in 1126 twin pairs (age range, 18-89 years; 89% were females) from the TwinsUK study were used as exposure data. The primary outcome tested was trunk fat mass (TFM) GWAS in 492,805 participants (age range, 40-69 years; 54% were females) from the UK Biobank. The gut microbiota were classified at family, genus, and species levels. A feature was defined as a distinct family, genus, or species. MR analysis was mainly performed by an inverse variance-weighted test or Wald ratio test, depending on the number of instrumental variables (IVs) involved. A sensitivity analysis was performed on significant results by a weighted median test and a weighted genetic risk score (GRS) analysis.

RESULTS

Results of MR analyses provided evidence of a causal association between 3 microbiota features and TFM, including 1 family [Lachnosiraceae; P = 0.02; β = 0.001 (SEE, 4.28 × 10-4)], 1 genus [Bifidobacterium; P = 5.0 × 10-9; β = -0.08 (SEE, 0.14)], and 1 species [Prausnitzii; P = 0.03; β = -0.007 (SEE, 0.003)]. Both the weighted median test and GRS analysis successfully validated the association of the genetically predicted family, Lachnosiraceae (Pweighted median = 0.03; PGRS = 0.004).

CONCLUSIONS

Our findings provided evidence of a causal association between gut microbiota and TFM in UK adults and identified specific bacteria taxa that may regulate the fat metabolism, thus offering new direction for the treatment of obesity.

摘要

背景

尽管最近的研究揭示了肠道微生物群的组成与肥胖之间的关联,但特定的肠道微生物群是否会导致肥胖尚未确定。

目的

本研究旨在确定特定肠道微生物群与腹型肥胖之间的因果关系。基于全基因组关联研究(GWAS)汇总统计数据,我们进行了两样本孟德尔随机化(MR)分析,以评估肠道微生物群是否会影响腹型肥胖。

方法

将来自 TwinsUK 研究的 1126 对双胞胎(年龄范围为 18-89 岁;89%为女性)的肠道微生物群 GWAS 作为暴露数据。主要检测结果是来自 UK Biobank 的 492805 名参与者(年龄范围为 40-69 岁;54%为女性)的躯干脂肪量(TFM)GWAS。肠道微生物群在科、属和种水平上进行分类。特征被定义为一个独特的科、属或种。MR 分析主要通过逆方差加权检验或 Wald 比值检验进行,具体取决于所涉及的工具变量(IV)的数量。对显著结果进行敏感性分析,包括加权中位数检验和加权遗传风险评分(GRS)分析。

结果

MR 分析的结果提供了肠道微生物群特征与 TFM 之间存在因果关联的证据,包括 1 个科[Lachnosiraceae;P = 0.02;β = 0.001(标准误,4.28×10-4)]、1 个属[双歧杆菌属;P = 5.0×10-9;β = -0.08(标准误,0.14)]和 1 个种[普拉梭菌;P = 0.03;β = -0.007(标准误,0.003)]。加权中位数检验和 GRS 分析均成功验证了遗传预测的科,Lachnosiraceae 与 TFM 之间的关联(P加权中位数= 0.03;PGRS = 0.004)。

结论

本研究结果提供了肠道微生物群与英国成年人 TFM 之间存在因果关联的证据,并确定了可能调节脂肪代谢的特定细菌分类群,为肥胖症的治疗提供了新的方向。

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