ArticleThe Journal of infectious diseases2018
Human Gut Microbiota Predicts Susceptibility to Vibrio cholerae Infection.
Article in The Journal of infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.
- Human microbiota dysbiosis after SARS-CoV-2 infection have the potential to predict disease prognosis.BMC infectious diseases · 2023Pooled it
- Maternal prenatal co-exposure to air pollution and psychological distress shapes the neonatal gut: microbiota-mediated pathways to early neurodevelopment.Gut microbes · 2026Article
- Decoding strain level interactions betweenVirulence · 2026Article
- Article
- Gut bacteria-derived sphingolipids alter innate immune responses to oral cholera vaccine antigens.Nature communications · 2025Article
- Synergistic effects of commensals and phage predation in suppressing colonization by pathogenic Vibrio parahaemolyticus.NPJ biofilms and microbiomes · 2025Article
- Article
- Review
- Age of machine learning: new trends in autism spectrum disorder prediction.Frontiers in microbiology · 2025Review
- Animal and In Vitro Models as Powerful Tools to Decipher the Effects of Enteric Pathogens on the Human Gut Microbiota.Microorganisms · 2023Review
- Therapeutic Approach Targeting Gut Microbiome in Gastrointestinal Infectious Diseases.International journal of molecular sciences · 2023Review
- Modulation of Host-Microbe Metabolism by Cholera Toxin.Infection and immunity · 2023Review
- Predicting Vibrio cholerae infection and symptomatic disease: a systems serology study.The Lancet. Microbe · 2023Article
- Gut Microbiota Analysis and In Silico Biomarker Detection of Children with Autism Spectrum Disorder across Cohorts.Microorganisms · 2023Article
- Advances in cholera research: from molecular biology to public health initiatives.Frontiers in microbiology · 2023Review
- Intestinal colonization againstAIMS microbiology · 2023Review
- Machine learning for data integration in human gut microbiome.Microbial cell factories · 2022Review
- Article
- Review
- Impact of a human gut microbe oneLife · 2022Article
Corrections and comments
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Authors and funding
17 authors at 5 institutions in 2 countries.
Funding
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 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.