Endocannabinoids modulate stress‐induced suppression of hippocampal cell proliferation and activation of defensive behaviours
Bibliographic record
Abstract
The endocannabinoid system has been shown to regulate both the hypothalamic-pituitary-adrenal (HPA) axis and emotionality. The present experiment was designed to examine whether pharmacological modulation of the endocannabinoid system would affect the suppression of hippocampal cell proliferation and increase in defensive behaviours seen following exposure to predator odour (trimethylthiazoline; TMT) stress. Rats were administered either an endocannabinoid uptake inhibitor (AM404; 2 mg/kg) or a cannabinoid CB1 receptor antagonist (AM251; 5 mg/kg) 30 min prior to exposure to TMT. Exposure to TMT reduced cell proliferation in the dentate gyrus and increased the expression of defensive burying. Administration of AM404 significantly inhibited defensive burying, and attenuated the reduction in cell proliferation in response to TMT exposure. Administration of AM251 alone significantly increased cell proliferation; however, pretreatment with AM251 prevented neither the stress-induced suppression of cell proliferation nor the stress-induced increase in behavioural responses. These results support previous research demonstrating that augmentation of endocannabinoid signalling can suppress stress-responsive systems. They also suggest that endocannabinoids may play a complex role in the regulation of neurogenesis via cell proliferation in 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".