Cell子刊:高脂饮食如何影响肠道菌群结构
  • 通过一种无偏倚的个体水平的荟萃分析框架,对27项动物和人的饮食与菌群研究的测序数据进行再分析;
  • 高脂饮食(HFD)对肠道菌群结构的影响具有可重复性,如增加厚壁菌门/拟杆菌门比值,改变特定细菌类群的丰度;
  • 其中乳球菌信号的增加是常见的HFD饲料污染造成的;
  • HFD影响的3个主要类群为毛螺菌科、瘤胃球菌科和S24-7菌科;
  • 构建4种机器学习模型,可从小鼠菌群变化判断高脂饮食摄入,根据菌群系统发生和功能信息的模型可转化用于人体。
主编推荐语
mildbreeze
饮食可影响肠道菌群,但由于不同研究之间在实验设计和分析方面存在差异,很难从不同研究中提取共性信息评估某种饮食对菌群的影响。《Cell Host and Microbe》发表的一项最新研究,对此前发表的关于高脂饮食对肠道菌群影响的研究进行荟萃分析,鉴定出不同研究间的可重复性结果,揭示出高脂饮食导致的乳球菌属富集,其实是源于饲料中的细菌DNA污染。这些发现对于研究饮食-菌群互作,以及微生物组研究的荟萃分析,都具有参考意义。
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Meta-Analysis Reveals Reproducible Gut Microbiome Alterations in Response to a High-Fat Diet

荟萃分析揭示肠道菌群响应高脂饮食发生的可重复性变化

10.1016/j.chom.2019.06.013

2019-07-16, Article

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Multiple research groups have shown that diet impacts the gut microbiome; however, variability in experimental design and quantitative assessment have made it challenging to assess the degree to which similar diets have reproducible effects across studies. Through an unbiased subject-level meta-analysis framework, we re-analyzed 27 dietary studies including 1,101 samples from rodents and humans. We demonstrate that a high-fat diet (HFD) reproducibly changes gut microbial community structure. Finer taxonomic analysis revealed that the most reproducible signals of a HFD are Lactococcus species, which we experimentally demonstrate to be common dietary contaminants. Additionally, a machine-learning approach defined a signature that predicts the dietary intake of mice and demonstrated that phylogenetic and gene-centric transformations of this model can be translated to humans. Together, these results demonstrate the utility of microbiome meta-analyses in identifying robust and reproducible features for mechanistic studies in preclinical models.

First Authors:
Jordan E Bisanz,Vaibhav Upadhyay

Correspondence Authors:
Peter J Turnbaugh

All Authors:
Jordan E Bisanz,Vaibhav Upadhyay,Jessie A Turnbaugh,Kimberly Ly,Peter J Turnbaugh

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