Effects of clozapine on the efflux of serotonin and dopamine in the rat brain: the role of 5-HT<sub>1A</sub> receptors
Bibliographic record
Abstract
In vivo microdialysis in conscious rats was used to examine the effect of clozapine on serotonin (5-hydroxytryptamine, 5-HT) efflux in the prefrontal cortex and dorsal raphe nucleus and dopamine efflux in the prefrontal cortex. Both systemic and local administration of clozapine (systemic, 10 or 20 mg/kg, i.p.; local, 100 microM) increased 5-HT efflux in the dorsal raphe. However, in the prefrontal cortex, dialysate 5-HT increased when clozapine (100 microM) was administered through the probe, while no effect was observed when it was administered systemically. By pretreatment with the selective 5-HT1A receptor antagonist p-MPPI (3 mg/kg, i.p.), systemic treatment of clozapine (10 mg/kg, i.p.) significantly increased 5-HT efflux in the prefrontal cortex. This result suggests that the ability of clozapine to enhance the extracellular concentrations of 5-HT in the dorsal raphe attenuates this drug's effect in the frontal cortex, probably through the stimulation of 5-HT1A somatodendritic autoreceptors in the dorsal raphe. We also found that pretreatment with p-MPPI (3 mg/kg, i.p.) attenuated by 45% the rise in cortical dopamine levels induced by clozapine (10 mg/kg, i.p.). These findings imply that the reduction in serotonergic input from the dorsal raphe nucleus induced by clozapine could lead to an increase in dopamine release in the prefrontal cortex.
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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 | 0.000 | 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".