Evidence map›Paper›PMID 40442827›Full record

ArticleJournal of cannabis research2025

The influence of genetics on the endocannabinoid system gene expression and relevance for targeting reproductive conditions.

Keisuke Tanaka, Akwasi A Amoako, Sally Mortlock, Peter A W Rogers, Sarah J Holdsworth-Carson, Jacqueline F Donoghue, Wan Tinn Teh, Grant W Montgomery, Brett McKinnon

Abstract read
In one paragraph

Article in Journal of cannabis research, 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

9 authors.

Keisuke TanakaDepartment of Obstetrics and Gynaecology, The Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia. keisuke.Tanaka@health.qld.gov.au.ORCID http://orcid.org/0000-0001-8958-0731
Akwasi A AmoakoDepartment of Obstetrics and Gynaecology, The Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Sally MortlockInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.
Peter A W RogersDepartment of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Sarah J Holdsworth-CarsonDepartment of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Jacqueline F DonoghueDepartment of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Wan Tinn TehDepartment of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, 3052, Australia.
Grant W MontgomeryInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.
Brett McKinnonInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, 4072, Australia.

Funding

National Health and Medical Research Council GNT1026033National Health and Medical Research Council GNT1046880National Health and Medical Research Council GNT1049472National Health and Medical Research Council GNT1050208National Health and Medical Research Council GNT1083405National Health and Medical Research Council GNT1105321National Health and Medical Research Council GNT1107258
6 · The paper itself

Abstract

backgroundEndocannabinoids are small lipid molecules that have critical roles in cellular proliferation and function. They are produced locally with their concentrations controlled via the endocannabinoid system (ECS). The important cellular functions of endocannabinoids have made them and the proteins that modulate their expression targets of potential interest for treatment in many different diseases including gynaecological conditions. There is significant evidence of heredity differences in the response to both exogenous and endogenous cannabinoids that hampers the identification of effective targets. Whether compounds targeting endocannabinoids will be effective therefore may rely on personal differences mediated through genetic architecture. To investigate the source of individual differences, we investigated the effects of genetic variants on the expression of the endocannabinoid system genes at both a systemic and individual tissue level with a particular focus on the female reproductive system and the endometrium.

methodsWe performed this analysis using publicly available datasets, including the 31,684 participants from the eQTLGen database and 838 donors to the GTEx database which includes 49 different sources of tissue, as well as an in-house database of 206 endometrial samples. Analysis of the eQTLGen data identified 22,020 eQTLs that influenced 43 of the selected 70 ECS genes.

resultsA comparison across 49 different tissues that included at least 70 different individuals in the GTEx dataset identified eQTL for 69 of the 70 different genes, confirming a tissue-specific influence. Comparisons among 11 different physiological system indicated that the female reproductive system was associated with a fewer number of eQTLs. Finally, in the endometrium, we detected Bonferroni significant genetic effects on one individual gene fatty acid binding protein 3 (FABP3), an intracellular transporter that delivers endocannabinoids to the enzyme responsible for its inactivation, with a further 14 independent FDR significant eQTL for 13 ECS genes.

conclusionsThis is the first study to investigate the effects of genetic variants on the ECS gene transcription and indicates genetic variants have significant influence that are unique to each tissue. Our results highlight the effect of individual variation and the impact endocannabinoid based therapies may have on different tissue and physiological systems.

Indexed as

EndocannabinoidsEndometriosisEndometriumExpression quantitative trait loci (eQTL)FABP (fatty acid-binding protein)Gene expression

Identifiers

PMID40442827
PMCPMC12124005

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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.