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微生物组、饮食和遗传对人体血浆代谢组个体间差异的影响。

Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome.

机构信息

Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.

Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.

出版信息

Nat Med. 2022 Nov;28(11):2333-2343. doi: 10.1038/s41591-022-02014-8. Epub 2022 Oct 10.

Abstract

The levels of the thousands of metabolites in the human plasma metabolome are strongly influenced by an individual's genetics and the composition of their diet and gut microbiome. Here, by assessing 1,183 plasma metabolites in 1,368 extensively phenotyped individuals from the Lifelines DEEP and Genome of the Netherlands cohorts, we quantified the proportion of inter-individual variation in the plasma metabolome explained by different factors, characterizing 610, 85 and 38 metabolites as dominantly associated with diet, the gut microbiome and genetics, respectively. Moreover, a diet quality score derived from metabolite levels was significantly associated with diet quality, as assessed by a detailed food frequency questionnaire. Through Mendelian randomization and mediation analyses, we revealed putative causal relationships between diet, the gut microbiome and metabolites. For example, Mendelian randomization analyses support a potential causal effect of Eubacterium rectale in decreasing plasma levels of hydrogen sulfite-a toxin that affects cardiovascular function. Lastly, based on analysis of the plasma metabolome of 311 individuals at two time points separated by 4 years, we observed a positive correlation between the stability of metabolite levels and the amount of variance in the levels of that metabolite that could be explained in our analysis. Altogether, characterization of factors that explain inter-individual variation in the plasma metabolome can help design approaches for modulating diet or the gut microbiome to shape a healthy metabolome.

摘要

个体的遗传学、饮食组成和肠道微生物组强烈影响其血浆代谢组学中数千种代谢物的水平。在这里,我们通过评估来自 Lifelines DEEP 和荷兰基因组队列的 1368 名广泛表型个体的 1183 种血浆代谢物,量化了不同因素解释血浆代谢组个体间差异的比例,分别将 610、85 和 38 种代谢物确定为主要与饮食、肠道微生物组和遗传相关。此外,通过代谢物水平得出的饮食质量评分与饮食质量显著相关,这是通过详细的食物频率问卷评估的。通过孟德尔随机化和中介分析,我们揭示了饮食、肠道微生物组和代谢物之间可能存在的因果关系。例如,孟德尔随机化分析支持真杆菌属(Eubacterium rectale)降低亚硫酸氢盐(一种影响心血管功能的毒素)血浆水平的潜在因果关系。最后,基于 311 名个体在 4 年内两个时间点的血浆代谢组分析,我们观察到代谢物水平稳定性与我们分析中可解释的该代谢物水平方差之间存在正相关。总的来说,对个体间血浆代谢组差异的解释因素进行特征分析有助于设计调节饮食或肠道微生物组以塑造健康代谢组的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a037/9671809/570463c2216b/41591_2022_2014_Fig1_HTML.jpg

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