Endothelin-1 (1-31) induces a thiorphan-sensitive release of eicosanoids via ETB receptors in the guinea pig perfused lung
Bibliographic record
Abstract
Maturation of big endothelin-1 (big ET-1) commonly produces the 21 amino acid vasoactive ET-1, which binds two ET receptors (ET(A) and ET(B)) to produce its effects. In the guinea pig, the systemic administration of ET-1 produces a bronchoconstrictor response that is mediated indirectly via the release of thromboxane A(2) through ET(B) receptor activation. A new potent metabolite of big ET-1, ET-1 (1-31), has been reported to act as an ET(A) receptor selective agonist. In this study we investigated the effects of ET-1 (1-31), compared with ET-1, on the release of eicosanoids in the isolated and perfused guinea pig lung. We also clarified the implication of ET receptors in these effects using selective ET(A) or ET(B) receptor antagonists, BQ-123 and BQ-788 respectively. Finally, using the neutral endopeptidase 24.11 (NEP 24.11) inhibitor, thiorphan, we determined the involvement of this enzyme on ET-1 (1-31) effects. Infusion of ET-1 (1-31) (50 nM) stimulates a marked release of thromboxane A(2) and prostacyclin equivalent to that observed with a ten times lower concentration of ET-1 (5 nM). BQ-788 (5 nM and 10 nM), but not BQ-123 (1 microM), decreases the release of thromboxane A(2) and prostacyclin triggered by both agonists. Interestingly, thiorphan (25 microM) abolishes the eicosanoid-releasing properties of big ET-1 (100 nM) and ET-1 (1-31). This study demonstrates that ET-1 (1-31) is less potent than ET-1 in stimulating the release of eicosanoids through ET(B) receptor activation in the guinea pig perfused lung. Moreover, the inhibitory properties of thiorphan indicate the possible existence of a bioactive metabolite of ET-1 (1-31). We therefore suggest that NEP 24.11 in the pulmonary vasculature, is implicated in the cleavage of ET-1 (1-31) to produce ET-1 which will further act on both ET receptors.
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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 | 0.001 |
| 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 | 0.001 |
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".