Comparison of a Vasopeptidase Inhibitor with Neutral Endopeptidase and Angiotensin-Converting Enzyme Inhibitors on Bradykinin Metabolism in the Rat Coronary Bed
Bibliographic record
Abstract
The in vitro effects of omapatrilat, a dual vasopeptidase inhibitor that simultaneously inhibits neutral endopeptidase (NEP) and angiotensin-converting enzyme (ACE), on exogenous bradykinin metabolism after a single passage through the coronary bed were compared with that of a NEP inhibitor (retrothiorphan, 25 nM), an ACE inhibitor (enalaprilat, 130 nM), and omapatrilat (25 nM). Bradykinin and inhibitors were infused into isolated Langendorff rat hearts perfused at 1 ml/min followed by reperfusion at 10 ml/min. Residual bradykinin was quantified in the coronary effluent by enzyme-linked immunosorbent assay to calculate bradykinin recovery and its kinetic parameters (Vmax/Km). Bradykinin degradation rate at 1 ml/min was 4.56 +/- 0.39 1/min per gram without inhibitors and was significantly reduced to 2.57 +/- 0.19 1/min per gram in the presence of enalaprilat, to 2.97 +/- 0.38 1/min per gram with retrothiorphan, to 1.82 +/- 0.17 1/min per gram with both enalaprilat and retrothiorphan, and to 1.14 +/- 0.35 1/min per gram with omapatrilat. In a second set of experiments, the effect of a 14-day treatment of rats with either ACE inhibitors (enalapril, quinapril, and ramipril), a NEP inhibitor (candoxatril), or omapatrilat on exogenous bradykinin metabolism was studied in Langendorff perfused hearts isolated from these long-term treated rats. In untreated rats, bradykinin degradation at a coronary perfusion of 1 ml/min was 4.35 +/- 0.41 1/min per gram. This value was reduced by 30% for the NEP inhibitor, by 50% for all ACE inhibitors, and by 75% for omapatrilat. All inhibitors administered either short term or long term significantly reduced bradykinin degradation during a single passage through the coronary bed. However, omapatrilat administration resulted in the greatest protection from bradykinin breakdown than ACE or NEP inhibitors alone.
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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) | 0.001 | 0.001 |
| 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) | 0.001 | 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".