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

Predicting a human gut microbiota's response to diet in gnotobiotic mice.
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DOI:
10.1126/science.1206025
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发表时间:
2011-07-01
期刊:
Science (New York, N.Y.)
影响因子:
--
通讯作者:
Gordon JI
Gordon JI
中科院分区:
其他
文献类型:
--
作者:
Faith JJ;McNulty NP;Rey FE;Gordon JI

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我们的饮食与肠道微生物群落的结构和运作之间的相互关系,我们知之甚少。将十个测序的人类肠道细菌模型群落引入到非生物小鼠中,并测量了物种丰度和微生物基因表达的变化,以响应宿主饮食中四种定义成分的随机扰动。根据这些反馈,我们建立了一个统计模型,该模型预测了超过60%的由饮食扰动引起的物种丰度变化,并能够确定饮食中哪些因素最能解释每个群落成员所看到的变化。一项后续研究表明,这种方法普遍适用于含有各种混合人类婴儿食品的饮食。
The inter-relationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model community of ten 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 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.
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