Sex-specific disruptions in the developmental trajectory of anxiety-like behaviors due to prenatal cannabidiol exposure
Bibliographic record
Abstract
Many pregnant women use cannabidiol (CBD) as a natural remedy to alleviate symptoms such as nausea, insomnia, anxiety, and chronic pain. As much as 20% of pregnancies in the USA and Canada may involve the use of CBD-only products. CBD crosses the placenta and may affect fetal development, potentially leading to neuropsychiatric conditions later in life. Given the limited understanding of the effects of CBD during pregnancy, we adopted a longitudinal approach to investigate the neurodevelopmental trajectory associated with prenatal CBD exposure. Pregnant mice were administered 3 mg/kg CBD from gestational days 5 to 18. At early adolescence, offspring displayed sex-specific behavioral changes. Females, but not males, exhibited a complex anxiety-like phenotype during the elevated plus maze task. This phenotype persisted into adulthood in the open field test and was accompanied by altered reward responsiveness. Throughout post-natal life, female offspring demonstrated heightened stretch-attend postures, a risk-assessment behavior reflecting approach-avoidance tendencies and anxiety-like behavior. Finally, prenatal CBD exposure increased repetitive behaviors in adult animals of both sexes, as evidenced by the marble burying task. These results provide strong evidence of sex-specific disruptions in the developmental trajectories of anxiety-like behaviors associated with prenatal CBD exposure. They challenge the perception that CBD is universally safe and highlight vulnerabilities linked to gestational CBD exposure.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".