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Disease-specific loss of microbial cross-feeding interactions in the human gut.

Vanessa Rossetto MarcelinoCaitlin WelshChristian DienerEmily L GulliverEmily L RuttenRemy B YoungEdward M GilesSean M GibbonsChris GreeningSamuel C Forster
Published in: Nature communications (2023)
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.
Keyphrases
  • human health
  • risk assessment
  • climate change
  • microbial community
  • machine learning
  • gene expression
  • dna methylation
  • deep learning
  • cancer therapy
  • induced pluripotent stem cells