New insights into the antidepressant actions of substance P (NK<sub>1</sub> receptor) antagonists
Bibliographic record
Abstract
Considerable progress has been made in understanding the neural circuits involved the antidepressant and anxiolytic efficacy of substance P (NK, receptor) antagonists (SPAs). Progress has been hampered by species differences in the pharmacology of the NK1 receptor, and the availability of NK1R-/- mice has been a particularly useful resource in overcoming this difficulty. Using neuroanatomical, behavioural, and electrophysiological techniques, studies have now established that pharmacological blockade or deletion of the NK1 receptor produces an antidepressant and anxiolytic-like profile in a range of behavioural assays that is distinct from that of established drugs. There is evidence from focal injection studies that some of these effects may be mediated directly by blockade of NK, receptors in the amygdala and its projections to the hypothalamus, periaqueductal gray, and reticulopontine nucleus. Substance P and NK1 receptors are also intimately associated with ascending 5-HT and norepinephrine projections to the forebrain, and alterations in the function of these systems are also likely to be related to the antidepressant efficacy of SPAs. Unlike some established drugs, SPAs are generally well tolerated and do not induce sedation or motor impairment in preclinical species. These findings are consistent with a novel antidepressant mechanism of action of SPAs.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".