Carvedilol Increases Copper‐Zinc Superoxide Dismutase Activity in Patients with Acute Myocardial Infarction
Bibliographic record
Abstract
Balanced and coordinated antioxidant defence enzyme activities are of utmost importance for correct physiological function and for shielding against unwelcome pathological conditions. We determined the activities of copper-zinc superoxide dismutase (CuZnSOD), catalase, glutathione peroxidase and glutathione reductase in erythrocytes isolated from patients receiving different therapy (streptokinase alone or in combination with metoprolol or with carvedilol) for up to 168 hr after starting treatment for acute myocardial infarction. We observed increased CuZnSOD activity in erythrocytes isolated from patients treated with streptokinase-carvedilol (after 6, 24 and 168 hr) and in erythrocytes isolated from patients treated with streptokinase-metoprolol (after 24 hr). In addition, positive correlation between CuZnSOD and catalase activities was found in erythrocytes isolated from patients that received streptokinase-carvedilol after 168 hr. As metoprolol does not react directly with hydrogen peroxide, it would appear that combined streptokinase-metoprolol therapy exerted its effects primarily via by beta-blockade whereas combined streptokinase-carvedilol therapy appeared to function via both beta-blockade and direct antioxidant mechanisms.
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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 | 0.001 |
| 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".