Dietary intervention impact on gut microbial gene richness

Dietary intervention impact on gut microbial gene richness
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DOI:
10.1038/nature12480
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发表时间:
2013-08-29
期刊:
影响因子:
64.8
通讯作者:
Ehrlich, Stanislav Dusko
Ehrlich, Stanislav Dusko
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Cotillard, Aurelie;Kennedy, Sean P.;Ehrlich, Stanislav Dusko

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复杂的基因-环境相互作用被认为在肥胖的发展中很重要(1)。肠道微生物群的组成可以决定从食物中获取能量的功效(2-4),膳食成分的变化与肠道微生物群组成的变化有关(5,6)。宏基因组方法的发展显着提高了探索微生物群组成的能力(7,8),该方法已经能够产生第一个人类肠道微生物基因目录(9),并根据肠道基因组图谱将个体分层为不同的肠道型(10),但分析主要在非干预环境中进行。为了研究食物摄入、肠道微生物群以及代谢和炎症表型之间的时间关系,我们对 38 名肥胖者和 11 名超重者的研究样本进行了饮食诱导的减肥和体重稳定干预措施。在此,我们报告微生物基因丰富度降低 (40%) 的个体表现出更明显的代谢异常和低度炎症,如随附论文 (11) 中同时观察到的那样。饮食干预可以改善低基因丰富度和临床表型,但对于基因丰富度较低的个体的炎症变量似乎效率较低。因此,低基因丰富度可能对干预效果具有预测潜力。
Complex gene-environment interactions are considered important in the development of obesity(1). The composition of the gut microbiota can determine the efficacy of energy harvest from food(2-4) and changes in dietary composition have been associated with changes in the composition of gut microbial populations(5,6). The capacity to explore microbiota composition was markedly improved by the development of metagenomic approaches(7,8), which have already allowed production of the first human gut microbial gene catalogue(9) and stratifying individuals by their gut genomic profile into different enterotypes(10), but the analyses were carried out mainly in nonintervention settings. To investigate the temporal relationships between food intake, gut microbiota and metabolic and inflammatory phenotypes, we conducted diet-induced weight-loss and weight-stabilization interventions in a study sample of 38 obese and 11 overweight individuals. Here we report that individuals with reduced microbial gene richness (40%) present more pronounced dys-metabolism and low-grade inflammation, as observed concomitantly in the accompanying paper(11). Dietary intervention improves low gene richness and clinical phenotypes, but seems to be less efficient for inflammation variables in individuals with lower gene richness. Low gene richness may therefore have predictive potential for the efficacy of intervention.