Bradykinin metabolism in rat hearts with left-ventricular hypertrophy following myocardial infarction
Bibliographic record
Abstract
The aim of the present study was to assess the contribution of angiotensin I converting enzyme (ACE)and neutral endopeptidase (NEP) in the coronary degradation of bradykinin (BK) after left-ventricular hypertrophy following myocardial infarction (MI) in rats. Myocardial infarction was induced by left descendant coronary artery ligation, and the contribution of ACE and NEP in the degradation of exogenous BK after a single passage through the coronary bed was assessed at 2, 5, and 36 days post-MI. BK degradation rate (V(max)/Km) was found to be significantly lower in hearts at 36 days (3.30 +/- 0.28 min(-1)) compared with 2 days (4.39 +/- 0.32 min(-1)) for noninfarcted hearts, but this reduction was just above the statistical level of significance for post-MI hearts. In infarcted hearts, V(max)/Km was increased significantly 5 days post-MI (4.91 +/- 0.28 min(-1)) compared with the 2 and 36 day-groups (3.43 +/- 0.20 and 2.78 +/- 0.16 min(-1), respectively). The difference between noninfarcted and MI was significant only 2 days post-MI. Treatment with the vasopeptidase inhibitor, omapatrilat, showed that the relative contribution of ACE and NEP combined increased over time in infarcted hearts and became significantly higher 36 versus 2 days post-MI. Finally, the treatment with an ACE inhibitor (enalaprilat) and a NEP inhibitor (retrothiorphan) in the 36-day infarcted and noninfarcted hearts showed that the relative contribution of ACE in infarcted hearts was comparable with that of noninfarcted hearts, whereas the relative contribution of NEP was increased significantly in infarcted hearts. In conclusion, experimental MI in rats induces complex changes in the metabolism of exogenous BK. The changes resulted in an increased relative contribution of NEP 36 days after infarction.
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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 | 0.000 |
| 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) | 0.001 | 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".