Evidence map›Paper›PMID 34417593›Full record

ArticleNature metabolism2021

Neonatal exposure to a wild-derived microbiome protects mice against diet-induced obesity.

Benedikt Hild, Matthew S Dreier, Ji Hoon Oh, John A McCulloch, Jonathan H Badger, Juen Guo, Claire E Thefaine, Regina Umarova, Kevin D Hall, Oksana Gavrilova and 3 more

Open access · greenAbstract read
In one paragraph

Article in Nature metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Benedikt HildImmunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-9900-3484
Matthew S DreierImmunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-3160-294X
Ji Hoon OhImmunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-0824-6131
John A McCullochLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD, USA.
Jonathan H BadgerLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD, USA.
Juen GuoIntegrative Physiology Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.
Claire E ThefaineImmunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-2162-4325
Regina UmarovaLiver Diseases Virology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.
Kevin D HallIntegrative Physiology Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.
Oksana GavrilovaMouse Metabolism Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.
Stephan P RosshartImmunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-6989-8686
Giorgio TrinchieriLaboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-5892-7464
Barbara RehermannImmunology Section, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD, USA. Rehermann@nih.gov.ORCID http://orcid.org/0000-0001-6832-9951
National Institutes of Health · USUnited States Department of Health and Human Services · US

Funding

Regulation of hepatic and systemic immune responsesZIADK054508 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI REHERMANN, BARBARA · 2009 to 2025
$22.1M
Role of mouse microbiome in cancer and inflammationZIABC011153 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TRINCHIERI, GIORGIO · 2009 to 2025
$22.0M
Metabolic Studies of Mouse Models of Obesity and DiabetesZICDK070002 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI GAVRILOVA, OKSANA · 2009 to 2025
$15.0M
Regulation of rodent energy metabolism, body weight and compositionZIADK013038 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HALL, KEVIN · 2009 to 2024
$2.2M
Intramural NIH HHS ZIA BC011153
6 · The paper itself

Abstract

Obesity and its consequences are among the greatest challenges in healthcare. The gut microbiome is recognized as a key factor in the pathogenesis of obesity. Using a mouse model, we show here that a wild-derived microbiome protects against excessive weight gain, severe fatty liver disease and metabolic syndrome during a 10-week course of high-fat diet. This phenotype is transferable only during the first weeks of life. In adult mice, neither transfer nor severe disturbance of the wild-type microbiome modifies the metabolic response to a high-fat diet. The protective phenotype is associated with increased secretion of metabolic hormones and increased energy expenditure through activation of brown adipose tissue. Thus, we identify a microbiome that protects against weight gain and its negative consequences through metabolic programming in early life. Translation of these results to humans may identify early-life therapeutics that protect against obesity.

Indexed as

DietDisease ResistanceDisease SusceptibilityEnvironmental ExposureHost Microbial InteractionsMicrobiotaAnimal FeedAnimalsDiet, High-FatDisease Models, AnimalEnergy MetabolismGastrointestinal MicrobiomeMiceObesityTime FactorsWeight Gain

Identifiers

PMID34417593
PMCPMC9969744
OpenAlexW3194813638

What OpenQuestion holds

Textmetadata
LicenceTDM
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.