Serotonin<sub>1B</sub> heteroreceptor activation induces an antidepressant-like effect in mice with an alteration of the serotonergic system
Bibliographic record
Abstract
Objective: We sought to demonstrate whether the specific activation of serotonin1B (5-HT1B) heteroreceptors by systemic or local administration of the selective 5-HT1B receptor agonist anpirtoline could mediate antidepressant-like effects in mice. Methods: We confirmed the selectivity of action of anpirtoline in the forced swim test (FST) in 5-HT1B knockout mice. We then evaluated the behavioural effects of anpirtoline on 5-HT–lesioned (5,7-dihydroxytryptamine creatinine [5,7-DHT]) and 5-HT–depleted (p-CPA) mice. We estimated the depletion level and selectivity of action of 5,7-DHT and p-CPA by measuring the neurotransmitter levels and [3H]-citalopram binding. We investigated the antidepressant-like effect of anpirtoline when locally perfused in an area of the brain where the response is mainly attributable to presynaptic (cortex and hippocampus) or postsynaptic receptors (substantia nigra and caudate putamen). Furthermore, we evaluated the effect of the 5-HT1B receptor antagonist GR127935 on the activity of various antidepressants in the FST. Results: Anpirtoline was devoid of effects in 5-HT1B receptor knockout mice. It induced a greater effect in p-CPA and 5,7-DHT pretreated mice compared with control subjects, suggesting that the antidepressant-like activity of anpirtoline mainly depends on 5-HT1B heteroreceptor stimulation (autoreceptors being destroyed by 5,7-DHT). This observation was confirmed by the results showing the antidepressant-like effect of anpirtoline when locally perfused in areas of the brain that contain postsynaptic receptors. The blockade of 5-HT1B receptors antagonizes the effect of selective serotonin reuptake inhibitors (SSRIs). Conclusion: Our results demonstrate that the antidepressant-like effect of SSRIs in the FST requires the activation of 5-HT1B heteroreceptors.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.002 |
| 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".