Evidence map›Paper›PMID 36126044›Full record

ArticlePLoS biology2022

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

Daniel Hoces, Jiayi Lan, Wenfei Sun, Tobias Geiser, Melanie L Stäubli, Elisa Cappio Barazzone, Markus Arnoldini, Tenagne D Challa, Manuel Klug, Alexandra Kellenberger and 9 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. The OMMGut microbes · 2026
    Review
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  6. Defined Microbiota Modulates Host Metabolome and Skeletal Adaptation to Diet-Induced Obesity.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Diagnosing and engineering gut microbiomes.EMBO molecular medicine · 2024
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 2 countries.

Daniel HocesLaboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-1451-5166
Jiayi LanLaboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-2278-0779
Wenfei SunLaboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.ORCID 0000-0001-5762-6010
Tobias GeiserLaboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Melanie L StäubliInstitute of Microbiology, Department of Biology, ETH Zürich, Zürich, Switzerland.
Elisa Cappio BarazzoneLaboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Markus ArnoldiniLaboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0003-3770-1348
Tenagne D ChallaLaboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.
Manuel KlugLaboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.
Alexandra KellenbergerLaboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.
Sven NowokETH Phenomics Center, Department of Biology, ETH Zürich, Zürich, Switzerland.
Erica FaccinLaboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Andrew J MacphersonDepartment of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-7192-0184
Bärbel StecherMax-von-Pettenkofer Institute, LMU Munich, Munich, Germany.ORCID 0000-0002-7445-5193
Shinichi SunagawaInstitute of Microbiology, Department of Biology, ETH Zürich, Zürich, Switzerland.
Renato ZenobiLaboratory of Organic Chemistry, Department of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-5211-4358
Wolf-Dietrich HardtInstitute of Microbiology, Department of Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-9892-6420
Christian WolfrumLaboratory of Translational Nutrition Biology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach, Switzerland.ORCID 0000-0002-3862-6805
Emma SlackLaboratory for Mucosal Immunology, Institute of Food, Nutrition and Health, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-2473-1145
ETH Zurich · CHGerman Center for Infection Research · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Liver GlycogenMicrobiotaAnimalsGerm-Free LifeGlucoseMiceObesityGlucoseLiver Glycogen

Identifiers

PMID36126044
PMCPMC9488797
OpenAlexW4296806719

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.