The relaxant effect of nociceptin on porcine coronary arterial ring segments
Bibliographic record
Abstract
Nociceptin (NC), alias orphanin FQ, has been identified as the endogenous ligand of the opioid receptor-like 1 receptor (ORL1). The purpose of this study was to assess the effect of nociceptin on porcine coronary arteries and to investigate the mechanism of its action, if any. Rings of coronary arteries from porcine hearts were suspended in baths containing Krebs solution, and isometric tension was measured. The response to nociceptin (10(-1)2-10(-5) mol/L) was investigated in porcine coronary arterial rings and also in such rings contracted with prostaglandin F2alpha (PGF2alpha). The effects of endothelium, nitroxide (NO), methylene blue, cyclic GMP (cGMP), naloxone, [Nphe1]NC(1-13)NH2, and propranolol on nociceptin-induced relaxation were also assessed. Our study showed nociceptin relaxed the porcine coronary arterial rings and inhibited the vasocontractivity to PGF2alpha. The relaxing response of nociceptin in coronary arteries was significantly reduced by removal of endothelium and by the presence of L-NNA, cGMP, and [Nphe1]NC(1-13)NH2, the selective nociceptin receptor antagonist, but not by naloxone, the nonselestive opioid receptor blocker or propranolol, which blocks the adrenergic beta-receptor. Our results suggest that nociceptin induces relaxation of isolated coronary artery through NO, cGMP, and ORL1.
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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) | 0.002 | 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".