Pharmacotherapeutic effects of cannabidiol in autism spectrum disorders
Bibliographic record
Abstract
Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders characterized by social deficits and restrictive/repetitive behaviour.ASD is diagnosed in roughly 1-2% of the global population.Despite the prevalence of ASD, very few pharmaceutical interventions have been approved for its treatment.The endocannabinoid system (ECS) has recently gained interest as a potential target for treating ASD.Cannabidiol (CBD), a compound found in the Cannabis (C.Sativa) plant, has been highlighted as a potential drug through which the ECS can be mediated.Due to its non-psychoactive nature, and its efficacy in ameliorating ASD-associated symptoms in Fragile X syndrome (FXS) patients, an investigation into its effectiveness in treating ASD is warranted.In this present thesis, we aimed to evaluate the efficacy of CBD in treating social deficits and restrictive/repetitive behaviours in Fmr1 and Shank3 knockout mice.These models serve as two well-characterized monogenetic animal models of ASD.To account for a knowledge gap in the literature surrounding the treatment of ASD, both male and female mice were used.Mice were assigned to the 3-chamber social test, or self-grooming and open field tests.Mice received subcutaneous injections of either vehicle or CBD (5mg/kg for males, 50mg/kg for females).On the first day, mice performed their respective tests to establish a baseline for behaviour.For the 4 following days, mice received 1 injection daily.On the 6 th day, mice were given another injection.An hour later, they were subjected to their post-injection behavioural testing.Results from the 3-chamber social test showed that both knockout models displayed deficits in social novelty.This deficit was recovered following the administration of CBD.Self-grooming analysis and open-field testing showed no effect of CBD.These findings suggest CBD exerts its therapeutic effects through regions specific to social memory, likely the CA1 and CA2 regions of the hippocampus.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".