益生元
益生菌
微生物群
肠道菌群
短链脂肪酸
计算生物学
生物
微生物种群生物学
食品科学
生物化学
细菌
生物信息学
遗传学
丁酸盐
发酵
作者
Nick Quinn-Bohmann,Tomasz Wilmanski,Katherine Ramos Sarmiento,Lisa Levy,Johanna W. Lampe,Thomas Gurry,Noa Rappaport,Erin M. Ostrem,Ophelia S. Venturelli,Christian Diener,Sean M. Gibbons
出处
期刊:Nature microbiology
日期:2024-06-24
卷期号:9 (7): 1700-1712
被引量:5
标识
DOI:10.1038/s41564-024-01728-4
摘要
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.
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