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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Thomas Gurry, , Sean M. Gibbons, Le Thanh Tu Nguyen, Sean M. Kearney, Ashwin Ananthakrishnan, Xiaofang Jiang, Claire Duvallet, Zain Kassam, Eric J. Alm

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. More... »

PAGES

12699

References to SciGraph publications

  • 2011-01. Diet, gut microbiota and immune responses in NATURE IMMUNOLOGY
  • 2013-10. UPARSE: highly accurate OTU sequences from microbial amplicon reads in NATURE METHODS
  • 2017-12. Meta-analysis of gut microbiome studies identifies disease-specific and shared responses in NATURE COMMUNICATIONS
  • 2014-03. Kraken: ultrafast metagenomic sequence classification using exact alignments in GENOME BIOLOGY
  • 2003-06. Environmental stresses can alleviate the average deleterious effect of mutations in BMC BIOLOGY
  • 2008-10. A simple, fast, and accurate method of phylogenomic inference in GENOME BIOLOGY
  • 2016-12. Modulation of the human gut microbiota by dietary fibres occurs at the species level in BMC BIOLOGY
  • 2014-12. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 in GENOME BIOLOGY
  • 2016-12. Microbiota-based model improves the sensitivity of fecal immunochemical test for detecting colonic lesions in GENOME MEDICINE
  • 2012-06. Structure, function and diversity of the healthy human microbiome in NATURE
  • 2012-07. Dietary-fat-induced taurocholic acid promotes pathobiont expansion and colitis in Il10−/− mice in NATURE
  • 2014-07. Host lifestyle affects human microbiota on daily timescales in GENOME BIOLOGY
  • 2014-01. Diet rapidly and reproducibly alters the human gut microbiome in NATURE
  • 2017-12. Normalization and microbial differential abundance strategies depend upon data characteristics in MICROBIOME
  • 2015-12. Fat, fibre and cancer risk in African Americans and rural Africans in NATURE COMMUNICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-018-30783-1

    DOI

    http://dx.doi.org/10.1038/s41598-018-30783-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1106199559

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30139999


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