Mucosal Microbiota and Metabolome along the Intestinal Tract Reveal a Location-Specific Relationship.

host-microbiota interactions metabolome microbiota nonhuman primate prebiotics

Journal

mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636

Informations de publication

Date de publication:
26 May 2020
Historique:
entrez: 28 5 2020
pubmed: 28 5 2020
medline: 28 5 2020
Statut: epublish

Résumé

The intestinal microbiota is highly metabolically active and plays an important role in many metabolic processes absent from the human host. Altered microbiota metabolism has been linked to diseases such as obesity, cardiovascular disease, and colorectal cancer. However, there is a gap in the current knowledge on how the microbiota interact with its host in terms of metabolic interactions. Here, we performed an integrated analysis between the mucosa-associated microbiota and the mucosa metabolome in healthy, nonhuman primates to investigate these relationships. The microbiota composition was distinct at each tissue location, with variation by host individual also observed. Microbiota-metabolome dynamics were primarily driven by interactions in the distal colon. These interactions were strongly correlated with dietary component, indicating a possibility to modulate microbiota-metabolomic interactions using prebiotic strategies.

Identifiants

pubmed: 32457236
pii: 5/3/e00055-20
doi: 10.1128/mSystems.00055-20
pmc: PMC7253361
pii:
doi:

Types de publication

Journal Article

Langues

eng

Informations de copyright

Copyright © 2020 Yuan et al.

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Auteurs

Ce Yuan (C)

Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, Minnesota, USA.
Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

Melanie Graham (M)

Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.

Christopher Staley (C)

Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.
Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.

Subbaya Subramanian (S)

Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, Minnesota, USA subree@umn.edu.
Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.
Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.

Classifications MeSH