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

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

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Author(s)
Ananthakrishnan, Ashwin
•
Kassam, Zain
•
Gurry, Thomas Jerome
•
Gibbons, Sean Michael
•
Nguyen, Le Thanh Tu
•
Jiang, Xiaofang
•
Duvallet, Claire
•
Alm, Eric J
•
Kearney, Sean Michael
Date Issued
August 2018
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Gurry, Thomas et al. “Predictability and Persistence of Prebiotic Dietary Supplementation in a Healthy Human Cohort.” Scientific Reports 8, 1 (August 2018): 12699 © 2018 The Author(s)
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Center for Microbiome Informatics and Therapeutics
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/120787
DOI of Published Version
https://doi.org/10.1038/s41598-018-30783-1
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