Natural versus Laboratory World: Incorporating Wild-Derived Microbiota into Preclinical Rodent Models.


Journal

Journal of immunology (Baltimore, Md. : 1950)
ISSN: 1550-6606
Titre abrégé: J Immunol
Pays: United States
ID NLM: 2985117R

Informations de publication

Date de publication:
01 10 2021
Historique:
received: 05 05 2021
accepted: 28 07 2021
entrez: 21 9 2021
pubmed: 22 9 2021
medline: 28 10 2021
Statut: ppublish

Résumé

Advances in data collection (high-throughput shotgun metagenomics, transcriptomics, and metabolomics) and analysis (bioinformatics and multiomics) led to the realization that all mammals are metaorganisms, shaped not only by their own genome but also by the genomes of the microbes that colonize them. To date, most studies have focused on the bacterial microbiome, whereas curated databases for viruses, fungi, and protozoa are still evolving. Studies on the interdependency of microbial kingdoms and their combined effects on host physiology are just starting. Although it is clear that past and present exposure to commensals and pathogens profoundly affect human physiology, such exposure is lacking in standard preclinical models such as laboratory mice. Laboratory mouse colonies are repeatedly rederived in germ-free status and subjected to restrictive, pathogen-free housing conditions. This review summarizes efforts to bring the wild microbiome into the laboratory setting to improve preclinical models and their translational research value.

Identifiants

pubmed: 34544812
pii: jimmunol.2100426
doi: 10.4049/jimmunol.2100426
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1703-1709

Informations de copyright

Copyright © 2021 by The American Association of Immunologists, Inc.

Auteurs

Ji Hoon Oh (JH)

Immunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Bethesda, MD.

Barbara Rehermann (B)

Immunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Department of Health and Human Services, Bethesda, MD Rehermann@nih.gov.

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Classifications MeSH