The bradykinin B<sub>1</sub> receptor antagonist B9858 inhibits a nociceptive spinal reflex in rabbits
Bibliographic record
Abstract
There are two bradykinin receptor subtypes, designated B1 and B2. Whilst both have been implicated in nociception, it is believed that there is a low level of constitutive expression of B1 receptors and that their expression is induced by inflammation or tissue damage. The present study investigated the role of B1 receptors in spinal nociceptive processing using an in vivo electrophysiological assay in decerebrate, spinalized rabbits, a species that shares close B1 receptor homology with the human receptor. Inflammation was induced in the paw by an injection of complete Freund's adjuvant at least 1 h before recording single motor unit activity of the semitendinous/biceps femoris muscle in response to a noxious pinch of the foot. Control animals received an intraplantar injection of saline. The peptide B1 receptor antagonist B9858 was administered i.v. and caused dose-dependent and complete inhibition of the nociceptive spinal reflex (ID50 = 1 mg x kg(-1)). In control animals without paw inflammation, B9858 had no effect. These findings are consistent with other evidence that peptide B1 receptor antagonists inhibit spinal nociceptive reflexes only after induction of B1 receptors by inflammation and support the potential therapeutic utility of B1 receptor antagonists as analgesic and anti-inflammatory drugs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".