Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort

Dietary interventions to manipulate the human gut microbiome for improved health have received increasing attention. However, their design has been limited by a lack of understanding of the quantitative impact of diet on a host's microbiota. We present a highly controlled diet perturbation expe...

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Bibliographic Details
Main Authors: Ananthakrishnan, Ashwin (Author), Kassam, Zain (Author), Gurry, Thomas Jerome (Contributor), Gibbons, Sean Michael (Contributor), Nguyen, Le Thanh Tu (Contributor), Kearney, Sean M (Contributor), Jiang, Xiaofang (Contributor), Duvallet, Claire (Contributor), Alm, Eric J (Contributor)
Other Authors: Massachusetts Institute of Technology. Center for Microbiome Informatics and Therapeutics (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2019-03-07T15:22:42Z.
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Summary:Dietary interventions to manipulate the human gut microbiome for improved health have received increasing attention. However, their design has been limited by a lack of understanding of the quantitative impact of diet on a host's microbiota. We present a highly controlled diet perturbation experiment in a healthy, human cohort in which individual micronutrients are spiked in against a standardized background. We identify strong and predictable responses of specific microbes across participants consuming prebiotic spike-ins, at the level of both strains and functional genes, suggesting fine-scale resource partitioning in the human gut. No predictable responses to non-prebiotic micronutrients were found. Surprisingly, we did not observe decreases in day-to-day variability of the microbiota compared to a complex, varying diet, and instead found evidence of diet-induced stress and an associated loss of biodiversity. Our data offer insights into the effect of a low complexity diet on the gut microbiome, and suggest that effective personalized dietary interventions will rely on functional, strain-level characterization of a patient's microbiota.