Evidence map›Paper›PMID 42264146›Full record

ReviewMolecular metabolism2026

Endocannabinoid system and skeletal muscle health: Insights from cannabidiol.

Anaïs Deglos, Nicolas Saroul, Stéphane Walrand, Olivier Le Bacquer

Abstract readReview
In one paragraph

Review in Molecular metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Anaïs DeglosUnité de Nutrition Humaine (UNH), Université Clermont Auvergne, INRAE, CRNH Auvergne, Clermont-Ferrand, France.
Nicolas SaroulUnité de Nutrition Humaine (UNH), Université Clermont Auvergne, INRAE, CRNH Auvergne, Clermont-Ferrand, France; Service d'orl et chirurgie cervico-faciale, CHU de Clermont-Ferrand, 58 rue Montalembert, Clermont-Ferrand, 63000, France.
Stéphane WalrandUnité de Nutrition Humaine (UNH), Université Clermont Auvergne, INRAE, CRNH Auvergne, Clermont-Ferrand, France; CHU Clermont-Ferrand, Service Nutrition Clinique, Clermont-Ferrand, France.
Olivier Le BacquerUnité de Nutrition Humaine (UNH), Université Clermont Auvergne, INRAE, CRNH Auvergne, Clermont-Ferrand, France. Electronic address: olivier.le-bacquer@inrae.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endocannabinoid (EC) system is a complex network comprising endogenous ligands, enzymes responsible for their synthesis and degradation, and various receptors (including CB1 and CB2). Present in many peripheral tissues, including skeletal muscle, EC system is now recognized to influence key physiological processes such as insulin sensitivity, mitochondrial metabolism, protein homeostasis and muscle development. Alterations in this system are associated with a variety of pathologies, including obesity, type 2 diabetes, sarcopenia, cachexia and muscle dystrophies. In this context, cannabidiol (CBD), a phytocannabinoid devoid of psychoactive properties, is attracting growing interest as a potential therapeutic agent. This article provides an analysis of the mechanisms by which the EC system, and more specifically the CB1 receptor, influences skeletal muscle development and function, while exploring emerging data on the potential benefits of CBD in various pathological conditions affecting skeletal muscle.

Indexed as

CannabidiolEndocannabinoidsMuscle, SkeletalAnimalsHumansReceptor, Cannabinoid, CB1SarcopeniaCannabidiolEndocannabinoidsReceptor, Cannabinoid, CB1AtrophyCachexiaCannabidiolEndocannabinoidsMitochondriaSarcopeniaSkeletal muscle

Identifiers

PMID42264146
PMCPMC13320327

What OpenQuestion holds

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LicenceCC BY
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.