Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae Infection.

Journal Article (Journal Article)

BACKGROUND: Cholera is a public health problem worldwide, and the risk factors for infection are only partially understood. METHODS: We prospectively studied household contacts of patients with cholera to compare those who were infected to those who were not. We constructed predictive machine learning models of susceptibility, using baseline gut microbiota data. We identified bacterial taxa associated with susceptibility to Vibrio cholerae infection and tested these taxa for interactions with V. cholerae in vitro. RESULTS: We found that machine learning models based on gut microbiota, as well as models based on known clinical and epidemiological risk factors, predicted V. cholerae infection. A predictive gut microbiota of roughly 100 bacterial taxa discriminated between contacts who developed infection and those who did not. Susceptibility to cholera was associated with depleted levels of microbes from the phylum Bacteroidetes. By contrast, a microbe associated with cholera by our modeling framework, Paracoccus aminovorans, promoted the in vitro growth of V. cholerae. Gut microbiota structure, clinical outcome, and age were also linked. CONCLUSION: These findings support the hypothesis that abnormal gut microbial communities are a host factor related to V. cholerae susceptibility.

Full Text

Duke Authors

Cited Authors

  • Midani, FS; Weil, AA; Chowdhury, F; Begum, YA; Khan, AI; Debela, MD; Durand, HK; Reese, AT; Nimmagadda, SN; Silverman, JD; Ellis, CN; Ryan, ET; Calderwood, SB; Harris, JB; Qadri, F; David, LA; LaRocque, RC

Published Date

  • July 13, 2018

Published In

Volume / Issue

  • 218 / 4

Start / End Page

  • 645 - 653

PubMed ID

  • 29659916

Pubmed Central ID

  • PMC6047457

Electronic International Standard Serial Number (EISSN)

  • 1537-6613

Digital Object Identifier (DOI)

  • 10.1093/infdis/jiy192


  • eng

Conference Location

  • United States