Cannflavin B ameliorates social and anxiety deficits and neuronal systems dysfunction in adolescent rats exposed to prenatal valproic acid
Bibliographic record
Abstract
Abstract There has been growing interest in natural products as potential therapeutics for the core and comorbid symptoms of autism spectrum disorders. Almost all the studies on autism have focused on the therapeutic benefits of cannabis and its associated cannabinoids. In this study the potential therapeutic efficacy of cannflavin B, a related, yet non-psychoactive component of the Cannabis sativa plant, was evaluated. Using prenatal valproic acid (VPA) exposure in rats, a model that has been widely used to study aspects of autism, we showed that cannflavin B was anxiolytic in the female VPA rats, and normalized sociality in VPA animals of both sexes. When neuronal oscillatory activity was examined, in female VPA rats cannflavin B normalized alterations in low frequency power within the cingulate cortex (Cg), and theta-gamma cross frequency coupling between the dorsal hippocampus (dHIP) and the prefrontal cortex (PFC). In male VPA animals, cannflavin B induced frequency-specific alterations in power within the PFC, Cg, and dHIP and ameliorated the VPA-induced suppression of oscillatory coherence between all three regions. In each brain region, cannflavin B also attenuated the sex-specific VPA-induced elevations in microglia. In vitro , cannflavin B normalized VPA-induced elevations in cortical and HIP neuronal activity and promoted more organized cortical firing. These findings demonstrate cannflavin B normalizes behavioural and neuronal systems function alterations induced by prenatal VPA in rats. The present study highlights the importance of alternative cannabis compounds in autism and other disorders.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".