Further evidence for an antidepressant potential of the selective σ1 agonist SA 4503: electrophysiological, morphological and behavioural studies
Bibliographic record
Abstract
In this study, we evaluated the ability of the selective sigma1 agonist SA 4503 to produce changes in brain function, similar to those elicited by classical antidepressants. We focused more specifically on the influence of SA 4503 on central serotonergic (5-HT) transmission, and on hippocampal cell proliferation. A 2-d continuous treatment with SA 4503 (1-40 mg/kg.d) increased 5-HT neuron firing rate in a dose-dependent, bell-shaped manner, with a culminating effect of +90% at 10 mg/kg.d. The same dose induced the appearance of a 5-HT1A receptor-mediated inhibitory tonus on hippocampal pyramidal neurons, as revealed by intravenous injections of the selective 5-HT1A antagonist WAY 100635. Moreover, continuous administration of SA 4503 (3 and 10 mg/kg.d, 3 d) dose-dependently enhanced the number of bromodeoxyuridine-positive cells in the subgranular zone of the hippocampus (+48% and +94%, respectively), thus indicating an increased cell proliferation. Finally, a single administration of SA 4503 (3 and 10 mg/kg i.p.) increased the time spent swimming in the forced swimming test. Together, these results provide both functional and behavioural evidence that this compound has an important antidepressant potential. Further, the fact that the functional changes occurred within a short time-frame (2-3 d) suggest that this antidepressant potential might have a rapid onset of action.
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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 | 0.000 |
| 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".