Population-level analysis of gut microbiome variation
Population-level analysis of gut microbiome variation
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DOI：
10.1126/science.aad3503
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发表时间：
2016-04-29
期刊：
影响因子：
56.9
通讯作者：
Raes, Jeroen
中科院分区：
文献类型：
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作者：
Falony, Gwen;Joossens, Marie;Raes, Jeroen
平均健康人群中的粪便微生物组变化仍未得到充分研究。在这里，我们分析了两个独立的，广泛的表型队列：比利时佛兰芒肠道植物群项目（FGFP;发现队列; N = 1106）和荷兰LifeLines-DEEP研究（LLDeep;复制; N = 1135）。与全球数据集（N合并= 3948）的整合显示了14个属的核心微生物群，但664个确定的属仍然未充分利用总肠道多样性。发现69个临床和基于微生物的协变量与微生物群组成变异相关，重复率为92%。粪便一致性显示出最大的效应量，而药物解释了最大的总方差，并与其他协变量-微生物群关联相互作用。早期生活事件，如出生模式，并没有反映在成年微生物群组成。最后，我们发现，提出的疾病标志物属与宿主协变量，敦促纳入后者的研究设计。
Fecal microbiome variation in the average, healthy population has remained under-investigated. Here, we analyzed two independent, extensively phenotyped cohorts: the Belgian Flemish Gut Flora Project (FGFP; discovery cohort; N = 1106) and the Dutch LifeLines-DEEP study (LLDeep; replication; N = 1135). Integration with global data sets (N combined = 3948) revealed a 14-genera core microbiota, but the 664 identified genera still underexplore total gut diversity. Sixty-nine clinical and questionnaire-based covariates were found associated to microbiota compositional variation with a 92% replication rate. Stool consistency showed the largest effect size, whereas medication explained largest total variance and interacted with other covariate-microbiota associations. Early-life events such as birth mode were not reflected in adult microbiota composition. Finally, we found that proposed disease marker genera associated to host covariates, urging inclusion of the latter in study design.