Enabling rational gut microbiome manipulations by understanding gut ecology through experimentally-evidenced in silico models.
Precision medicine
agent-based modeling
computational microbiology
dietary intervention
genome-scale modeling
gut microbial ecology
host–microbiome interactions
microbial culturing
systems biology
Journal
Gut microbes
ISSN: 1949-0984
Titre abrégé: Gut Microbes
Pays: United States
ID NLM: 101495343
Informations de publication
Date de publication:
Historique:
entrez:
30
8
2021
pubmed:
31
8
2021
medline:
12
1
2022
Statut:
ppublish
Résumé
The gut microbiome has emerged as a contributing factor in non-communicable disease, rendering it a target of health-promoting interventions. Yet current understanding of the host-microbiome dynamic is insufficient to predict the variation in intervention outcomes across individuals. We explore the mechanisms that underpin the gut bacterial ecosystem and highlight how a more complete understanding of this ecology will enable improved intervention outcomes. This ecology varies within the gut over space and time. Interventions disrupt these processes, with cascading consequences throughout the ecosystem.
Identifiants
pubmed: 34455914
doi: 10.1080/19490976.2021.1965698
pmc: PMC8432618
doi:
Substances chimiques
Dietary Fiber
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1965698Références
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