Evidence map›Paper›PMID 38225400›Full record

ReviewNature reviews. Endocrinology2024

mTORC1 in energy expenditure: consequences for obesity.

Camille Allard, Cristina Miralpeix, Antonio J López-Gambero, Daniela Cota

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Frontiers in pharmacology · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Camille Allard *University of Bordeaux, INSERM, Neurocentre Magendie, Bordeaux, France.ORCID http://orcid.org/0000-0002-2198-6011
Cristina Miralpeix *University of Bordeaux, INSERM, Neurocentre Magendie, Bordeaux, France.
Antonio J López-Gambero *University of Bordeaux, INSERM, Neurocentre Magendie, Bordeaux, France.ORCID http://orcid.org/0000-0001-7716-9056
Daniela CotaUniversity of Bordeaux, INSERM, Neurocentre Magendie, Bordeaux, France. daniela.cota@inserm.fr.ORCID http://orcid.org/0000-0002-6909-2156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In eukaryotic cells, the mammalian target of rapamycin complex 1 (sometimes referred to as the mechanistic target of rapamycin complex 1; mTORC1) orchestrates cellular metabolism in response to environmental energy availability. As a result, at the organismal level, mTORC1 signalling regulates the intake, storage and use of energy by acting as a hub for the actions of nutrients and hormones, such as leptin and insulin, in different cell types. It is therefore unsurprising that deregulated mTORC1 signalling is associated with obesity. Strategies that increase energy expenditure offer therapeutic promise for the treatment of obesity. Here we review current evidence illustrating the critical role of mTORC1 signalling in the regulation of energy expenditure and adaptive thermogenesis through its various effects in neuronal circuits, adipose tissue and skeletal muscle. Understanding how mTORC1 signalling in one organ and cell type affects responses in other organs and cell types could be key to developing better, safer treatments targeting this pathway in obesity.

Indexed as

ObesitySignal TransductionEnergy MetabolismHumansInsulinMechanistic Target of Rapamycin Complex 1InsulinMechanistic Target of Rapamycin Complex 1

Identifiers

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.