Effects of acute and sustained administration of the catecholamine reuptake inhibitor nomifensine on the firing activity of 2 J monoaminergic neurons
Bibliographic record
Abstract
Nomifensine potently inhibits the reuptake of norepinephrine and dopamine in vitro. It is one of few antidepressants with marked potency to block dopamine reuptake that has ever been used clinically. Acute and sustained administration of nomifensine was investigated on the firing of monoaminergic neurons to understand its mechanism of action. In vivo extracellular recordings of locus coeruleus, ventral tegmental area and dorsal raphe nucleus neurons were obtained from male Sprague-Dawley rats. The intravenous injection of nomifensine in the locus coeruleus and ventral tegmental area yielded ED(50) values of 40 +/- 1 and 450 +/- 41 microg/kg, respectively, suggesting that nomifensine directly acted upon dopamine and norepinephrine neurons, since these values are proportional to its affinities for norepinephrine and dopamine transporters. There was no effect on 5-HT neurons. Nomifensine (5 mg/kg/day, subcutaneous, using minipumps) potently and significantly inhibited dopamine neuronal firing in the ventral tegmental area after 2 days, with recovery to normal after the 14-day treatment due to D(2) autoreceptor desensitization. Norepinephrine neuronal firing in the locus coeruleus was significantly decreased after 2 and 14 days. A significant increase in dorsal raphe nucleus 5-HT neuronal firing was seen after a two-day regimen, and remained elevated after 14 days. Desensitization of the 5-HT(1A) receptor on 5-HT neurons of the dorsal raphe nucleus occurred after two days of nomifensine administration. Nomifensine likely treated depression by acting on dopamine, norepinephrine and 5-HT neurons, highlighting the importance of the functional connectivity between these three monoaminergic systems.
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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".