Endothelins contribute towards nociception induced by antigen in ovalbumin‐sensitised mice
Bibliographic record
Abstract
1. The contribution of endogenous endothelins to nociceptive responses elicited by ovalbumin (OVA) in the hind-paw of mice sensitised to this antigen (50 microg OVA+5 mg Al(OH)(3), s.c., 14 days beforehand) was investigated. 2. Sensitised mice exhibited greater nocifensive responsiveness to intraplantar (i.pl.) OVA (total licking time over first 30 min: 85.2+/-14.6 s at 0.3 microg; 152.6+/-35.6 s at 1 microg) than nonsensitised animals (29.3+/-7.4 s at 1 microg). Nocifensive responses of sensitised mice to 0.3 microg OVA were inhibited by morphine (3 mg kg(-1), s.c.) or local depletion of mast cells (four daily i.pl. injections of compound 48/80). 3. Pretreatment with i.v. bosentan (mixed ET(A)/ET(B) receptor antagonist; 52 micromol kg(-1)) or A-122722.5 (selective ET(A) receptor antagonist; 6 micromol kg(-1)) reduced OVA-induced licking from 124.8+/-20.6 s to 45.7+/-13.0 s and 64.2+/-12.1 s, respectively, whereas A-192621.1 (selective ET(B) receptor antagonist; 25 micromol kg(-1)) enhanced them to 259.2+/-39.6 s. 4. Local i.pl. pretreatment with BQ-123 or BQ-788 (selective ET(A) or ET(B) receptor antagonists, respectively, each at 3 nmol) reduced OVA-induced licking (from 106.2+/-15.2 to 57.0+/-9.4 s and from 118.6+/-10.5 to 76.8+/-14.7 s, respectively). Sarafotoxin S6c (selective ETB receptor agonist, 30 pmol, i.pl., 30 min after OVA) induced nocifensive responses in OVA-sensitised, but not in nonsensitised, animals. 5. Compound 48/80 (0.3 microg, i.pl.) induced nocifensive responses per se and potentiated those induced by i.pl. capsaicin (0.1 microg). Treatment with BQ-123 (3 nmol, i.pl.) reduced only the hyperalgesic effect of compound 48/80, whereas BQ-788 (3 nmol) was ineffective. 6. Thus, immune-mediated Type I hypersensitivity reactions elicit mast cell- and endothelin-dependent nociception in the mouse hind-paw, which are mediated locally by both ET(A) and ET(B) receptors. The nocifensive response to antigen is amenable to blockade by systemic treatment with dual ET(A)/ET(B) or selective ET(A) receptor antagonists, but is sharply potentiated by systemic selective ET(B) receptor antagonist treatment. The apparently distinct roles played by ET(B) receptors in this phenomenon at local and other sites remain to be characterised.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".