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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".