Evidence map›Paper›PMID 40149899›Full record

ArticleBiomolecules2025

Identification of a Possible Endocannabinoid-Mediated Mechanism of Action of Cetylated Fatty Acids.

Giulia Bononi, Carlotta Granchi, Tiziano Tuccinardi, Filippo Minutolo

Abstract read
In one paragraph

Article in Biomolecules, 2025. 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. Review
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.

Giulia BononiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-4336-4344
Carlotta GranchiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-5849-0722
Tiziano TuccinardiDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-6205-4069
Filippo MinutoloDepartment of Pharmacy, University of Pisa, Via Bonanno 6, 56126 Pisa, Italy.ORCID 0000-0002-3312-104X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some musculoskeletal disorders, including osteoarthritis; arthrosis; post-traumatic injuries; and other inflammatory tendon, joint and muscular afflictions, still represent unmet medical needs. Cetylated fatty acids (CFAs) are key components of widely distributed over-the-counter products, especially for topical use, which are intended to reduce symptoms associated with these conditions. Nevertheless, the mechanism of action of CFAs' analgesic and anti-inflammatory properties has not yet been clearly established. Endocannabinoids, such as 2-arachidonoylglycerol (2-AG) and anandamide (AEA), are known to produce analgesic and anti-inflammatory effects. These compounds undergo physiological inactivation operated by several enzymes, including monoacylglycerol lipase (MAGL). We herein demonstrate for the first time that the therapeutic effects of CFAs may be attributable, at least in part, to their MAGL inhibition activities, which induce a local increase in analgesic/anti-inflammatory endocannabinoids in close proximity to the site of administration. These findings pave the way for the development of new potent local analgesic agents, whose action is based on an indirect cannabinoid effect.

Indexed as

AnalgesicsAnti-Inflammatory AgentsEndocannabinoidsFatty AcidsAnimalsArachidonic AcidsGlyceridesMaleMiceMonoacylglycerol LipasesPolyunsaturated AlkamidesAnalgesicsanandamideAnti-Inflammatory AgentsArachidonic AcidsEndocannabinoidsFatty AcidsGlyceridesglyceryl 2-arachidonateMonoacylglycerol LipasesPolyunsaturated Alkamidesanalgesic agentsanti-inflammatory agentscetylated fatty acidsendocannabinoid systemMAGL inhibitorsmonoacylglycerol lipase

Identifiers

PMID40149899
PMCPMC11940079

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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.