2022
DOI: 10.1016/j.crmicr.2022.100127
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A compendium of predicted growths and derived symbiotic relationships between 803 gut microbes in 13 different diets

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Cited by 4 publications
(4 citation statements)
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“…In silico simulations, coupled with in vitro and in vivo data can contribute to mechanistically describe physiological and metabolic process, such as prediction of the glycemic index of biscuits using chicken duodenum (Priyadarshini et al 2021 ), characterization of the precipitation kinetics of drugs, and the prediction of their concentration in small intestine after human oral administration (Hens et al 2014 , Kambayashi et al 2016 ). Additionally, metabolic models can be used to predict growth patterns of gut microbiota when exposed to different nutrients (Singh et al 2022 ). Genome-scale metabolic reconstructions coupled with metabolomic data and dietary composition, allow to study interspecies interactions (Magnúsdóttir et al 2015 , Singh et al 2022 ).…”
Section: Future Perspectivesmentioning
confidence: 99%
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“…In silico simulations, coupled with in vitro and in vivo data can contribute to mechanistically describe physiological and metabolic process, such as prediction of the glycemic index of biscuits using chicken duodenum (Priyadarshini et al 2021 ), characterization of the precipitation kinetics of drugs, and the prediction of their concentration in small intestine after human oral administration (Hens et al 2014 , Kambayashi et al 2016 ). Additionally, metabolic models can be used to predict growth patterns of gut microbiota when exposed to different nutrients (Singh et al 2022 ). Genome-scale metabolic reconstructions coupled with metabolomic data and dietary composition, allow to study interspecies interactions (Magnúsdóttir et al 2015 , Singh et al 2022 ).…”
Section: Future Perspectivesmentioning
confidence: 99%
“…Additionally, metabolic models can be used to predict growth patterns of gut microbiota when exposed to different nutrients (Singh et al 2022 ). Genome-scale metabolic reconstructions coupled with metabolomic data and dietary composition, allow to study interspecies interactions (Magnúsdóttir et al 2015 , Singh et al 2022 ). Furthermore, protein–protein interaction bioinformatic workflows, based on intestinal microbiota composition, are available, combining metataxonomic analysis with domain-mediated protein–protein interaction approaches (Orsini et al 2020 ).…”
Section: Future Perspectivesmentioning
confidence: 99%
“…Likewise, consuming a diet that is high in prebiotic fibers can promote the growth of bacterial groups that are capable of producing butyrate through the fermentation of non-digestible polysaccharides [40]. The Mediterranean diet, for example, which is high in fiber, promotes a mutualistic relationship between Bifidobacterium adolescentis and Eubacterium hallii; the latter is well known for its butyrate production [9].…”
Section: Discussionmentioning
confidence: 99%
“…The Mediterranean microbiota protects against CVD and tumor pathologies due to its production of more SCFAs by fiber-degrading bacteria [8]. Moreover, plant protein and high-fiber regimens, such as the MD, stimulate the growth of probiotic species like Bifidobacteria, which are commonly inhibited under a Western-style diet [9].…”
mentioning
confidence: 99%