Precision microbiome restoration of bile acid-mediated resistance to Clostridium difficile View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-10-22

AUTHORS

Charlie G Buffie, Vanni Bucci, Richard R Stein, Peter T McKenney, Lilan Ling, Asia Gobourne, Daniel No, Hui Liu, Melissa Kinnebrew, Agnes Viale, Eric Littmann, Marcel R M van den Brink, Robert R Jenq, Ying Taur, Chris Sander, Justin R Cross, Nora C Toussaint, Joao B Xavier, Eric G Pamer

ABSTRACT

The gastrointestinal tracts of mammals are colonized by hundreds of microbial species that contribute to health, including colonization resistance against intestinal pathogens. Many antibiotics destroy intestinal microbial communities and increase susceptibility to intestinal pathogens. Among these, Clostridium difficile, a major cause of antibiotic-induced diarrhoea, greatly increases morbidity and mortality in hospitalized patients. Which intestinal bacteria provide resistance to C. difficile infection and their in vivo inhibitory mechanisms remain unclear. Here we correlate loss of specific bacterial taxa with development of infection, by treating mice with different antibiotics that result in distinct microbiota changes and lead to varied susceptibility to C. difficile. Mathematical modelling augmented by analyses of the microbiota of hospitalized patients identifies resistance-associated bacteria common to mice and humans. Using these platforms, we determine that Clostridium scindens, a bile acid 7α-dehydroxylating intestinal bacterium, is associated with resistance to C. difficile infection and, upon administration, enhances resistance to infection in a secondary bile acid dependent fashion. Using a workflow involving mouse models, clinical studies, metagenomic analyses, and mathematical modelling, we identify a probiotic candidate that corrects a clinically relevant microbiome deficiency. These findings have implications for the rational design of targeted antimicrobials as well as microbiome-based diagnostics and therapeutics for individuals at risk of C. difficile infection. More... »

PAGES

205-208

Journal

TITLE

Nature

ISSUE

7533

VOLUME

517

Author Affiliations

  • 1] Infectious Diseases Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA [2] Lucille Castori Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.
  • 1] Computational Biology Program, Sloan-Kettering Institute, New York, New York 10065, USA [2] Department of Biology, University of Massachusetts Dartmouth, North Dartmouth, Massachusetts 02747, USA.
  • Computational Biology Program, Sloan-Kettering Institute, New York, New York 10065, USA.
  • Lucille Castori Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.
  • Donald B. and Catherine C. Marron Cancer Metabolism Center, Sloan-Kettering Institute, New York, New York 10065, USA.
  • Genomics Core Laboratory, Sloan-Kettering Institute, New York, New York 10065, USA.
  • 1] Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA [2] Immunology Program, Sloan-Kettering Institute, New York, New York 10065, USA.
  • Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.
  • 1] Lucille Castori Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA [2] Computational Biology Program, Sloan-Kettering Institute, New York, New York 10065, USA.
  • 1] Infectious Diseases Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA [2] Lucille Castori Center for Microbes, Inflammation and Cancer, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA [3] Immunology Program, Sloan-Kettering Institute, New York, New York 10065, USA.
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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nature13828

    DOI

    http://dx.doi.org/10.1038/nature13828

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1004780748

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25337874


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