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预测无菌小鼠肠道微生物群对饮食的反应。

Predicting a human gut microbiota's response to diet in gnotobiotic mice.

机构信息

Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63108, USA.

出版信息

Science. 2011 Jul 1;333(6038):101-4. doi: 10.1126/science.1206025. Epub 2011 May 19.

Abstract

The interrelationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model community of 10 sequenced human gut bacteria was introduced into gnotobiotic mice, and changes in species abundance and microbial gene expression were measured in response to randomized perturbations of four defined ingredients in the host diet. From the responses, we developed a statistical model that predicted over 60% of the variation in species abundance evoked by diet perturbations, and we were able to identify which factors in the diet best explained changes seen for each community member. The approach is generally applicable, as shown by a follow-up study involving diets containing various mixtures of pureed human baby foods.

摘要

我们的饮食与肠道微生物群落的结构和功能之间的相互关系还不甚了解。我们将由 10 个人肠道细菌组成的模式群落引入无菌小鼠体内,并检测了宿主饮食中的四种特定成分随机扰动后,物种丰度和微生物基因表达的变化。根据这些响应,我们开发了一种统计模型,可以预测饮食扰动引起的物种丰度变化的 60%以上,并且能够确定饮食中的哪些因素可以最好地解释每个群落成员的变化。后续的一项涉及含有各种人婴儿食品混合物的饮食的研究表明,该方法具有普遍适用性。

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