期刊
CELL HOST & MICROBE
卷 26, 期 2, 页码 265-U181出版社
CELL PRESS
DOI: 10.1016/j.chom.2019.06.013
关键词
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资金
- National Institutes of Health [R01HL122593, R21CA227232, P30DK098722]
- Damon Runyon Cancer Research Foundation [DRR-42-16]
- Searle Scholars Program [SSP-2016-1352]
- Natural Science and Engineering Research Council of Canada
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.
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