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饮食、肠道微生物组成和肠道代谢之间的联系。

Links between diet, gut microbiota composition and gut metabolism.

机构信息

Microbiology Group,Rowett Institute of Nutrition and Health, University of Aberdeen,Greenburn Road,Aberdeen,Scotland AB21 9SB,UK.

出版信息

Proc Nutr Soc. 2015 Feb;74(1):13-22. doi: 10.1017/S0029665114001463. Epub 2014 Sep 30.

Abstract

The gut microbiota and its metabolic products interact with the host in many different ways, influencing gut homoeostasis and health outcomes. The species composition of the gut microbiota has been shown to respond to dietary change, determined by competition for substrates and by tolerance of gut conditions. Meanwhile, the metabolic outputs of the microbiota, such as SCFA, are influenced both by the supply of dietary components and via diet-mediated changes in microbiota composition. There has been significant progress in identifying the phylogenetic distribution of pathways responsible for formation of particular metabolites among human colonic bacteria, based on combining cultural microbiology and sequence-based approaches. Formation of butyrate and propionate from hexose sugars, for example, can be ascribed to different bacterial groups, although propionate can be formed via alternative pathways from deoxy-sugars and from lactate by a few species. Lactate, which is produced by many gut bacteria in pure culture, can also be utilised by certain Firmicutes to form butyrate, and its consumption may be important for maintaining a stable community. Predicting the impact of diet upon such a complex and interactive system as the human gut microbiota not only requires more information on the component groups involved but, increasingly, the integration of such information through modelling approaches.

摘要

肠道微生物群及其代谢产物以多种不同的方式与宿主相互作用,影响肠道内稳态和健康结果。肠道微生物群的物种组成已被证明会对饮食变化做出反应,这取决于对底物的竞争和对肠道条件的耐受。同时,微生物群的代谢产物(如 SCFA)的供应以及通过饮食介导的微生物群组成变化都会影响其产生。通过结合培养微生物学和基于序列的方法,在确定人类结肠细菌中特定代谢物形成途径的系统发育分布方面已经取得了重大进展。例如,己糖糖从丁酸盐和丙酸盐的形成可以归因于不同的细菌群,尽管丙酸盐可以通过替代途径从脱氧糖和少数物种的乳酸形成。在纯培养中,许多肠道细菌产生的乳酸也可以被某些厚壁菌门用来形成丁酸盐,其消耗可能对维持稳定的群落很重要。预测饮食对人类肠道微生物群这样一个复杂的相互作用系统的影响不仅需要更多关于涉及的组成群体的信息,而且还需要通过建模方法来整合这些信息。

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