2017/09/18 by Eugen Bauer, Bauer, Eugen, Ines Thiele +1
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Biological sciences #Gut microbiota and health #Metabolomics and Mass Spectrometry Studies #Microbial Metabolic Engineering and Bioproduction #Molecular Networks (q-bio.MN)
paper · pdf · doi:10.48550/arxiv.1709.06007
openalex publication_date 2017/09/18 · openalex created_date 2022/08/29 · openalex updated_date 2026/07/28
Crohn's disease (CD) is associated with an ecological imbalance of the\nintestinal microbiota, consisting of hundreds of species. The underlying\ncomplexity as well as individual differences between patients contributes to\nthe difficulty to define a standardized treatment. Computational modeling can\nsystematically investigate metabolic interactions between gut microbes to\nunravel novel mechanistic insights. In this study, we integrated metagenomic\ndata of CD patients and healthy controls with genome-scale metabolic models\ninto personalized in silico microbiotas. We predicted short chain fatty acid\n(SFCA) levels for patients and controls, which were overall congruent with\nexperimental findings. As an emergent property, low concentrations of SCFA were\npredicted for CD patients and the SCFA signatures were unique to each patient.\nConsequently, we suggest personalized dietary treatments that could improve\neach patient's SCFA levels. The underlying modeling approach could aid clinical\npractice to find novel dietary treatment and guide recovery by rationally\nproposing food aliments.\n