Opposite effects of amlodipine and enalapril on infarct collagen and remodelling during healing after reperfused myocardial infarction.
Bibliographic record
Abstract
OBJECTIVES: To compare the effects of the calcium channel blocker amlodipine versus the angiotensin-converting enzyme inhibitor enalapril with or without reperfusion on infarct collagen and remodelling during healing after anterior myocardial infarction (MI). ANIMALS AND METHODS: In vivo left ventricular (LV) remodelling and function (by quantitative echocardiography) and hemodynamics were measured over six weeks in dogs that were randomized 24 h after reperfusion (2 h after anterior MI) or no reperfusion to oral amlodipine (5 mg bid, n=6), enalapril (5 mg bid, n=6), placebo (bid, n=6) or sham surgery (n=6) for six weeks. Ex vivo infarct size, infarct collagen (hydroxyproline), collagen volume fraction and LV topography were measured at six weeks. RESULTS: Compared with placebo controls without reperfusion over six weeks in vivo, enalapril or amlodipine with or without reperfusion produced LV unloading and preserved volumes, shape and function, but enalapril limited LV hypertrophy more than amlodipine. However, compared with no reperfusion, amlodipine preserved infarct wall thickness and shape while enalapril decreased infarct wall thickness and increased the shape index. Ex vivo at six weeks, scar size as a percentage of risk was similar in the MI groups. Importantly, enalapril decreased infarct collagen already lowered by reperfusion, while amlodipine preserved infarct collagen after reperfusion and increased collagen volume fraction in spared myocardium. CONCLUSIONS: Preservation of infarct collagen limits infarct remodelling during healing after reperfused MI and preserves LV shape. Amlodipine and enalapril exert opposite effects on infarct collagen and remodelling after reperfused MI.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".