DEVELOPMENTAL CONSEQUENCES OF GESTATIONAL CANNABIS EXPOSURE IN RAT ACROSS THE LIFESPAN
Bibliographic record
Abstract
Cannabis use has become more widely accepted over the last decade, with increasing reports of use during pregnancy. Despite the growing diversity of product availability, smoking remains the primary route of Cannabis consumption in Canada. However, preclinical research on gestational Cannabis exposure (GCE) primarily focuses on the effects of Δ9-Tetrahydrocannabinol (THC) through injection models, which fail to accurately reflect human usage patterns. This dissertation aimed to develop a more representative model to study the pharmacokinetics, neurobehavioural, and biochemical effects of GCE via smoke exposure. Chapter 2 performs a pharmacokinetic validation of GCE via passive smoke exposure and compares it to injection-based methods for THC and Cannabidiol (CBD). Maternal plasma levels of cannabinoids and metabolites were measured at gestational days (GD) 6 and 20 following exposure to High-THC or High-CBD smoke, or injected THC or CBD. The results showed that THC and CBD levels in maternal plasma were 20x and 100x higher in injection models than in the smoke-exposed groups. Injections of THC and CBD also resulted in smaller litter sizes, increased uterine reabsorptions, and heightened inflammatory cytokine expression in placental and fetal brains, whereas smoke exposure had fewer effects on litter, pup health and cytokine and chemokine profiles. These findings demonstrate that injection models produce different pharmacokinetic and health effects than those observed with GCE to smoke. Chapter 3 examines the behavioural effects of GCE on adolescent and adult offspring. The results showed that i.p. THC and CBD produced more severe effects on maternal health and offspring behaviour compared to smoke exposure in adulthood. Female adolescent offspring exposed to High-THC smoke exhibited normalized behaviour in adulthood, while injected THC effects persisted. Both GCE and injected treatments impacted offspring performance in various tests of sensorimotor gating, MK-801 induced locomotor activity, social interaction, incidental memory, and exploratory behaviour, highlighting differences between smoke and injection exposure routes. Chapter 4 utilized X-ray Fluorescence (XFI) and Fourier Transform Mid-Infrared spectroscopy to investigate biochemical changes in offspring brains. THC exposure led to decreased Cu in the corpus callosum, and altered lipid and protein content in the hippocampus, and lateral ventricle, pointing to neurochemical dysregulation linked to GCE. This research emphasizes the importance of using translational models to assess GCE's effects, considering route, dose, and cannabinoid type for accurate risk assessment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".