ArticlemedRxiv : the preprint server for health sciences2025
Metabolic modeling reveals determinants of synbiotic efficacy in a human intervention trial.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Synbiotic interventions show variable effects across individuals, likely driven by ecological interactions with the endogenous microbiota and the host diet. Rationally predicting individual-specific success or failure of probiotic and prebiotic interventions remains an outstanding challenge. In this study, we leverage microbial community-scale metabolic models (MCMMs) to predict probiotic engraftment and shifts in microbiota-mediated short-chain fatty acid (SCFA) production in response to a synbiotic intervention. Using data from a placebo-controlled synbiotic intervention trial, involving a cocktail of five probiotic strains and the prebiotic inulin, we validate model engraftment predictions with quantitative PCR (qPCR), demonstrating that MCMMs accurately predict probiotic engraftment outcomes in the treatment group with over 85% accuracy. Engraftment varied by species, with
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