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Disease-specific loss of microbial cross-feeding interactions in the human gut.
Marcelino, Vanessa R; Welsh, Caitlin; Diener, Christian; Gulliver, Emily L; Rutten, Emily L; Young, Remy B; Giles, Edward M; Gibbons, Sean M; Greening, Chris; Forster, Samuel C.
Afiliação
  • Marcelino VR; Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia. vrmarcelino@gmail.com.
  • Welsh C; Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, 3168, Australia. vrmarcelino@gmail.com.
  • Diener C; Melbourne Integrative Genomics, School of BioSciences, University of Melbourne, Parkville, VIC, 3010, Australia. vrmarcelino@gmail.com.
  • Gulliver EL; Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, 3010, Australia. vrmarcelino@gmail.com.
  • Rutten EL; Department of Microbiology, Biomedicine Discovery Institute, Clayton, VIC, 3800, Australia.
  • Young RB; Institute for Systems Biology, Seattle, WA, 98109, USA.
  • Giles EM; Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia.
  • Gibbons SM; Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, 3168, Australia.
  • Greening C; Department of Molecular and Translational Sciences, Monash University, Clayton, VIC, 3168, Australia.
  • Forster SC; Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, 3168, Australia.
Nat Commun ; 14(1): 6546, 2023 10 20.
Article em En | MEDLINE | ID: mdl-37863966
Many gut microorganisms critical to human health rely on nutrients produced by each other for survival; however, these cross-feeding interactions are still challenging to quantify and remain poorly characterized. Here, we introduce a Metabolite Exchange Score (MES) to quantify those interactions. Using metabolic models of prokaryotic metagenome-assembled genomes from over 1600 individuals, MES allows us to identify and rank metabolic interactions that are significantly affected by a loss of cross-feeding partners in 10 out of 11 diseases. When applied to a Crohn's disease case-control study, our approach identifies a lack of species with the ability to consume hydrogen sulfide as the main distinguishing microbiome feature of disease. We propose that our conceptual framework will help prioritize in-depth analyses, experiments and clinical targets, and that targeting the restoration of microbial cross-feeding interactions is a promising mechanism-informed strategy to reconstruct a healthy gut ecosystem.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Crohn / Microbiota / Microbioma Gastrointestinal Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Crohn / Microbiota / Microbioma Gastrointestinal Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article