Local enhancement of cannabinoid CB1 receptor signalling in the dorsal hippocampus elicits an antidepressant-like effect
Bibliographic record
Abstract
Systemic administration of direct cannabinoid CB1 receptor agonists and inhibitors of the hydrolytic enzyme fatty acid amide hydrolase have been shown to elicit antidepressant effects. Moreover, the endocannabinoid system in the hippocampus is sensitive to both chronic stress and antidepressant administration, suggesting a potential role of this system in emotional changes associated with these regimens. The aim of this study was to determine if cannabinoid CB1 receptors in the hippocampus modulate emotionality in rats as assessed via the forced swim test. Male Sprague-Dawley rats were bilaterally implanted with cannulae directed at the dentate gyrus of the dorsal hippocampus and subsequently received three infusions of either the cannabinoid CB1 receptor agonist HU-210 (1 and 2.5 microg), the fatty acid amide hydrolase inhibitor URB597 (0.5 and 1 microg), the cannabinoid CB1 receptor antagonist AM251 (1 and 2.5 microg), or vehicle (dimethyl sulfoxide) and were assessed in the forced swim test. Infusion of both doses of HU-210 resulted in a dramatic reduction in immobility and increase in swimming behaviour, indicative of an antidepressant response, which was partially reversed by coadministration of AM251. No effect of URB597 administration or any effect following the administration of AM251 alone was, however, observed. These data indicate that activation of CB1 receptors in the dentate gyrus of the hippocampus results in an antidepressant-like response. Collectively, these data highlight the potential importance of changes in the hippocampal endocannabinoid system following stress or antidepressant treatment with respect to the manifestation and/or treatment of depression.
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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".