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血液咖啡因及基因预测的咖啡摄入量与肥胖人体测量指标的关联:一项两样本孟德尔随机化研究

Associations of Blood Caffeine and Genetically Predicted Coffee Consumption with Anthropometric Measures of Obesity: A Two Sample Mendelian Randomization Study.

作者信息

Narayan V P, Yoon S Y

机构信息

Mr. Vikram Narayan, School of Biological Sciences, The University of Queensland, St Lucia, 4072, Australia, E-mail:

出版信息

J Nutr Health Aging. 2022;26(2):190-196. doi: 10.1007/s12603-022-1736-5.

Abstract

OBJECTIVES

In observational studies, caffeine has been associated with a lower risk of obesity. However, whether the associations are causal and apply to coffee, which is a mixture of chemical compounds is unclear.

DESIGN

Two sample Mendelian randomization study.

SETTING AND PARTICIPANTS

Genetic instruments predicting caffeine were extracted from an existing GWAS of serum metabolites in 1960 individuals of European descent. For coffee consumption up to 91,462 individuals of European ancestry with top SNPs followed-up in ~30,062 coffee consumers and up to 375,833 individuals of European ancestry were taken from two separate studies. Genetic associations with obesity classes (n= 263,407), waist-to-hip ratio (WHR) (n=210,086), waist circumference (WC) (n= 231,355), and hip circumference (HC) (n=211,117) were obtained from summary statistics of individuals of European ancestry from the Genetic Investigation of Anthropocentric Traits (GIANT).

METHODS

The inverse-variance weighted method (IVW) was used as the main analysis. We also employed the weighted median approach (WM) and MR-Egger regression as sensitivity analyses. To gauge evidence of directional pleiotropy, we used Cochrane's Q test, and MR-PRESSO global test, as measures of heterogeneity between ratio estimates of variants.

RESULTS

There was little evidence to support an association between blood caffeine and any anthropometric measure of obesity in the primary and sensitivity analyses. However, genetically predicted coffee consumption was positively associated with higher class I obesity and WHR. Furthermore, this association was maintained after correction for multiple testing (P < 0.05/6 = 0.008). Results from the GWAS of coffee consumption were in tandem with results from the GWMA, but associations with class I obesity and waist to hip ratio (WHR) were not maintained after correction for multiple testing.

CONCLUSION

We found little evidence that caffeine or coffee consumption protects against obesity, adding to growing literature suggesting that previous observational studies may have been confounded. This study demonstrates the dangers of ignoring genetic testing for targeted interventions and basing dietary policy recommendations solely on observational studies restricted to specific populations.

摘要

目的

在观察性研究中,咖啡因与较低的肥胖风险相关。然而,这种关联是否具有因果关系,以及是否适用于作为化合物混合物的咖啡,尚不清楚。

设计

两样本孟德尔随机化研究。

设置与参与者

预测咖啡因的基因工具是从一项针对1960名欧洲血统个体的血清代谢物全基因组关联研究(GWAS)中提取的。对于咖啡消费情况,在两项独立研究中选取了多达91462名欧洲血统个体,其中顶级单核苷酸多态性(SNP)在约30062名咖啡消费者中进行了随访,多达375833名欧洲血统个体参与研究。与肥胖类别(n = 263407)、腰臀比(WHR)(n = 210086)、腰围(WC)(n = 231355)和臀围(HC)(n = 211117)的基因关联是从人类中心性状基因研究(GIANT)中欧洲血统个体的汇总统计数据中获得的。

方法

采用逆方差加权法(IVW)作为主要分析方法。我们还采用加权中位数法(WM)和MR-Egger回归进行敏感性分析。为了评估定向多效性的证据,我们使用Cochrane's Q检验和MR-PRESSO全局检验,作为变异比值估计之间异质性的度量。

结果

在主要分析和敏感性分析中,几乎没有证据支持血液咖啡因与任何肥胖人体测量指标之间存在关联。然而,基因预测的咖啡消费与较高的I类肥胖和WHR呈正相关。此外,在多重检验校正后,这种关联仍然存在(P < 0.05/6 = 0.008)。咖啡消费的GWAS结果与全基因组元分析(GWMA)结果一致,但在多重检验校正后,与I类肥胖和腰臀比(WHR)的关联不再成立。

结论

我们几乎没有发现证据表明咖啡因或咖啡消费能预防肥胖,这进一步证明了越来越多的文献表明之前的观察性研究可能存在混淆因素。这项研究证明了在进行针对性干预时忽视基因检测以及仅基于针对特定人群的观察性研究制定饮食政策建议的危险性。

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