Drug-Disease Interaction: Reduced Verapamil Response in Isoproterenol-Induced Myocardial Injury in Rats
Bibliographic record
Abstract
Inflammation is involved in the pathogenesis of cardiovascular diseases. We investigated whether the response to verapamil is altered in experimental acute myocardial injury (AMI). Two groups of male Sprague-Dawley rats (230-280 g) were divided into control (n = 8) and post-AMI (n = 13). Myocardial injury was induced by 2 daily doses of 150 mg·kg(-1) isoproterenol (ISP). Subcutaneous ECG leads were implanted, and 2 days following the second injection, each rat was dosed with 25 mg·kg(-1) verapamil per os, and an ECG was recorded over 4 h after dosing. The animals were euthanized and blood samples collected for analysis of inflammatory mediators and cardiac troponin I (cTnI). Cardiac L-type calcium channel (Ca(v)1.2) protein levels and mRNA were determined by Western blot and real-time PCR, respectively. ISP treatment caused a 170% increase in serum cTnI, J point elevation, R wave amplitude reduction and Q wave development. Cardiac injury caused a 75% reduction in verapamil potency by prolonging the PR interval and reducing the heart rate. Cardiac tissue injury also caused a significant reduction in the Ca(v)1.2 protein level. Verapamil response was significantly correlated with cTnI. The reduced potency of verapamil in myocardial injury appears to result from a reduction in the drug target protein Ca(v)1.2. If extrapolated to humans, our observations may suggest that downregulation of calcium channel proteins is a contributory factor in the poor outcome in myocardial 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".