Cannabidiol (CBD) potentiates physiological and behavioral markers of hypothalamic-pituitary-adrenal (HPA) axis responsivity in female and male mice
Bibliographic record
Abstract
ABSTRACT Rationale Clinical literature indicates there may be a therapeutic use of cannabidiol (CBD) for stress-related disorders. Preclinical literature remains conflicted regarding the underlying neurobehavioral mechanisms, reporting mixed effects of CBD (increased, decreased, or no effect) on anxiety- and fear-related behaviors. Preclinical data demonstrated that CBD modulates hypothalamus-pituitary-adrenal (HPA) axis gene expression; it is unknown whether CBD changes HPA axis responsivity and how this relates to altered behavior. Objectives We aimed to evaluate whether acute or chronic CBD administration would alter physiological and behavioral measures of HPA axis responsivity in male or female mice. Methods C57BL/6 mice of both sexes were injected with vehicle or CBD (30 mg/kg, i.p.) daily for 26 days. Plasma corticosterone (CORT) levels were evaluated following dexamethasone suppression and adrenocorticotropin hormone stimulation tests after acute and chronic CBD exposure. After chronic CBD, mice were tested for anxiety-like behavior using an elevated plus maze (EPM) and associative fear learning and memory using a trace fear conditioning (FC) protocol. Results Compared to vehicle, CBD induced a state of HPA axis hyperactivation, an effect which was significant in males; it also normalized anxiety-like behavior in female mice classified as having HPA axis hypofunction and primed all female mice for enhanced conditioned responding. Significant sex differences were also detected: females had greater plasma CORT levels and HPA axis responsivity than males, exhibited less EPM anxiety-like behavior, and were more responsive during FC. Conclusions CBD potentiated physiological and behavioral markers of HPA axis function and normalized anxiety-like behavior in a sex-specific manner. This observation has implications for cannabinoid-based drug development targeting individuals with stress-related disorders involving HPA axis hypofunction pathology.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".