Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae Infection.

ABSTRACT:

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

SUBMITTER: Midani FS 

PROVIDER: S-EPMC6047457 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature