MétaCan
Menu
Back to cohort
Record W4391873870 · doi:10.1093/jcag/gwad061.200

A200 EXPOSURE TO CANNABIS SMOKE <i>IN UTERO</i> AFFECTS THE DEVELOPMENT OF THE ENDOCANNABINOID SYSTEM IN THE GASTROINTESTINAL TRACT

2024· article· en· W4391873870 on OpenAlexaffabout
Elyanne M. Ratcliffe, M.K. Sunil, Tina Podinić, Joanna Kasinska, Jeremy A. Hirota, Sandeep Raha

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEndocannabinoid systemSmokeIn uteroCannabisGastrointestinal tractMedicinePhysiologyInternal medicineBiologyChemistryPsychiatryPregnancyReceptor

Abstract

fetched live from OpenAlex

Abstract Background Recreational use of cannabis has been legalized in Canada since 2018. Increasing numbers of women are using cannabis while pregnant, with reported rates ampersand:003E10%. There is a disconnect with societal perceptions, with up to one third of women believing that cannabis is safe for use in pregnancy, but with preclinical and clinical studies demonstrating negative neurodevelopmental outcomes. A key component of gut-brain axis regulation is found in the endocannabinoid system (ECS), of which receptors, ligands and enzymes are extensively distributed throughout the gastrointestinal (GI) tract and are actively involved in GI motility and sensation. Aims We tested the hypothesis that exposure to cannabis smoke in utero could influence the expression of ECS components in the developing GI tract. Methods We developed a “real world” cannabis smoke inhalation model in which CD-1 pregnant mouse dams were exposed daily to a delta-9-tetrahydrocannabinol (THC)-dominant strain of cannabis in a smoking chamber unit, from embryonic days 6 (E6) to E18. Control mice were placed in a restraining cage and exposed to room air for the equivalent time-period. Dams were sacrificed at E18, fetuses removed and the fetal GI tract (from stomach to distal colon) collected for RNA extraction. Key components of the ECS were investigated by developing a NanoString Custom CodeSet, including receptors (cannabinoid receptors 1 and 2; CB1 and CB2, transient receptor potential vanilloid type 1; TRVP1, GPR55) and enzymes (diacylglycerol lipase; DAGL, fatty acid amide hydrolase; FAAH, monoacylglycerol lipase; MAGL, N-acylphosphatidyletanolamine phospholipase D; NAPE-PLD). Samples (n=per litter; 7 cannabis-exposed and 8 control) were processed in the Farncombe Metagenomics Facility and NanoString data analyzed using nSolver Analysis Software. Results We found a significant increase in the expression of ECS receptors in the cannabis-exposed compared to control GI tract at E18, including CB2 (pampersand:003C0.05), TRPV1 (pampersand:003C0.05) and GPR55 (pampersand:003C0.0005). Interestingly, no significant change in mRNA expression was detected for CB1. We also found a significant increase in mRNA encoding the full panel of ECS enzymes, including DAGL (pampersand:003C0.005), FAAH (pampersand:003C0.05), MAGL (pampersand:003C0.05) and NAPE-PLD (pampersand:003C0.005) in cannabis-exposed compared to control GI tract. Conclusions In conclusion, we have found a significant increase in mRNA expression in a panel of key ECS receptors and enzymes in the GI tract at a point of maximal exposure to cannabis in utero. Future research will be needed to further characterize potential impacts on postnatal GI development and function. Funding Agencies CIHRThe Azrieli Foundation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.242
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Association of GastroenterologySame topicChild Nutrition and Feeding IssuesFrench-language works237,207