Metabolic reconstitution of germ-free mice by a gnotobiotic microbiota varies over the circadian cycle.


Journal

PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755

Informations de publication

Date de publication:
09 2022
Historique:
received: 14 12 2021
accepted: 06 07 2022
entrez: 20 9 2022
pubmed: 21 9 2022
medline: 24 9 2022
Statut: epublish

Résumé

The capacity of the intestinal microbiota to degrade otherwise indigestible diet components is known to greatly improve the recovery of energy from food. This has led to the hypothesis that increased digestive efficiency may underlie the contribution of the microbiota to obesity. OligoMM12-colonized gnotobiotic mice have a consistently higher fat mass than germ-free (GF) or fully colonized counterparts. We therefore investigated their food intake, digestion efficiency, energy expenditure, and respiratory quotient using a novel isolator-housed metabolic cage system, which allows long-term measurements without contamination risk. This demonstrated that microbiota-released calories are perfectly balanced by decreased food intake in fully colonized versus gnotobiotic OligoMM12 and GF mice fed a standard chow diet, i.e., microbiota-released calories can in fact be well integrated into appetite control. We also observed no significant difference in energy expenditure after normalization by lean mass between the different microbiota groups, suggesting that cumulative small differences in energy balance, or altered energy storage, must underlie fat accumulation in OligoMM12 mice. Consistent with altered energy storage, major differences were observed in the type of respiratory substrates used in metabolism over the circadian cycle: In GF mice, the respiratory exchange ratio (RER) was consistently lower than that of fully colonized mice at all times of day, indicative of more reliance on fat and less on glucose metabolism. Intriguingly, the RER of OligoMM12-colonized gnotobiotic mice phenocopied fully colonized mice during the dark (active/eating) phase but phenocopied GF mice during the light (fasting/resting) phase. Further, OligoMM12-colonized mice showed a GF-like drop in liver glycogen storage during the light phase and both liver and plasma metabolomes of OligoMM12 mice clustered closely with GF mice. This implies the existence of microbiota functions that are required to maintain normal host metabolism during the resting/fasting phase of circadian cycle and which are absent in the OligoMM12 consortium.

Identifiants

pubmed: 36126044
doi: 10.1371/journal.pbio.3001743
pii: PBIOLOGY-D-21-03250
pmc: PMC9488797
doi:

Substances chimiques

Liver Glycogen 0
Glucose IY9XDZ35W2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3001743

Commentaires et corrections

Type : CommentIn

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Daniel Hoces (D)

Laboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Jiayi Lan (J)

Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland.

Wenfei Sun (W)

Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.

Tobias Geiser (T)

Laboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Melanie L Stäubli (ML)

Institute of Microbiology, Department of Biology, ETH Zürich, Zürich, Switzerland.

Elisa Cappio Barazzone (E)

Laboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Markus Arnoldini (M)

Laboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Tenagne D Challa (TD)

Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.

Manuel Klug (M)

Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.

Alexandra Kellenberger (A)

Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.

Sven Nowok (S)

ETH Phenomics Center, Department of Biology, ETH Zürich, Zürich, Switzerland.

Erica Faccin (E)

Laboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Andrew J Macpherson (AJ)

Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland.

Bärbel Stecher (B)

Max-von-Pettenkofer Institute, LMU Munich, Munich, Germany.
German Center for Infection Research (DZIF), partner site LMU Munich, Munich, Germany.

Shinichi Sunagawa (S)

Institute of Microbiology, Department of Biology, ETH Zürich, Zürich, Switzerland.

Renato Zenobi (R)

Laboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland.

Wolf-Dietrich Hardt (WD)

Institute of Microbiology, Department of Biology, ETH Zürich, Zürich, Switzerland.

Christian Wolfrum (C)

Laboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.

Emma Slack (E)

Laboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Botnar Research Centre for Child Health, Basel, Switzerland.

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Classifications MeSH