Mechanisms underlying the contraction induced by bradykinin in the guinea pig epithelium-denuded trachea
Bibliographic record
Abstract
This study investigates some of the mechanisms by which bradykinin (BK) triggers contraction of epithelium-denuded strips of guinea pig trachea (GPT). Cumulative or single additions of BK, T-BK, L-BK, or ML-BK in the presence of captopril (30 microM) produced graded GPT contractions with the following rank order of potency (EC50 level): T-BK (31.3 nM) > BK (40.0 nM) > L-BK (56.0 nM) > ML-BK (77.0 nM). BK-induced contraction (100 nM) in GPT was completely inhibited by either HOE 140 or NPC 17731 with mean IC50 values of 17 and 217 nM, respectively. Addition of BK (100 nM) at 30 min intervals, induced progressive tachyphylaxis, which was complete after 4 h. The tachyphylaxis induced by BK was unaffected by L-NOARG (nitric oxide synthase inhibitor, 100 microM) or valeryl salicylate (a cyclooxygenase-1 (COX-1) inhibitor, 30 microM), but was prevented by a low concentration of indomethacin, diclofenac (non-selective COX inhibitors, 3 nM each) or by NS 398 (a COX-2 inhibitor, 10 nM). Furthermore, higher concentrations of indomethacin, diclofenac, phenidone (a lypooxygenase (LOX) and COX inhibitor), or NS 398, caused graded inhibition of BK-induced contraction, with mean IC50 values of 0.28, 0.08, 46.37, and 0.15 microM, respectively. Together, these results suggest that BK-induced contraction in GPT involves activation of B2 receptors and release of prostanoids from COX-2 pathway. Furthermore, the tachyphylaxis induced by BK was insensitive to the nitric oxide and COX-1 inhibitors, but was prevented by non-selective and selective COX-2 inhibitors, indicating a mediation via COX-2-derived arachidonic acid metabolites.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".