Metabolomics

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Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut


ABSTRACT: Microbially derived short-chain fatty acids (SCFAs) in the human gut are tightly coupled to host metabolism, immune regulation and integrity of the intestinal epithelium. However, the production of SCFAs can vary widely between individuals consuming the same diet, with lower levels often associated with disease. A systems-scale mechanistic understanding of this heterogeneity is lacking. Here we use a microbial community-scale metabolic modelling (MCMM) approach to predict individual-specific SCFA production profiles to assess the impact of different dietary, prebiotic and probiotic inputs. We evaluate the quantitative accuracy of our MCMMs using in vitro and ex vivo data, plus published human cohort data. We find that MCMM SCFA predictions are significantly associated with blood-derived clinical chemistries, including cardiometabolic and immunological health markers, across a large human cohort. Finally, we demonstrate how MCMMs can be leveraged to design personalized dietary, prebiotic and probiotic interventions aimed at optimizing SCFA production in the gut. Our model represents an approach to direct gut microbiome engineering for precision health and nutrition.

INSTRUMENT(S): Liquid Chromatography MS - - - Q Exactive

SUBMITTER: Sean Gibbons 

PROVIDER: MTBLS2308 | MetaboLights | 2024-07-02

REPOSITORIES: MetaboLights

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Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut.

Quinn-Bohmann Nick N   Wilmanski Tomasz T   Sarmiento Katherine Ramos KR   Levy Lisa L   Lampe Johanna W JW   Gurry Thomas T   Rappaport Noa N   Ostrem Erin M EM   Venturelli Ophelia S OS   Diener Christian C   Gibbons Sean M SM  

Nature microbiology 20240624 7


Microbially derived short-chain fatty acids (SCFAs) in the human gut are tightly coupled to host metabolism, immune regulation and integrity of the intestinal epithelium. However, the production of SCFAs can vary widely between individuals consuming the same diet, with lower levels often associated with disease. A systems-scale mechanistic understanding of this heterogeneity is lacking. Here we use a microbial community-scale metabolic modelling (MCMM) approach to predict individual-specific SCF  ...[more]

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