The Role of Cyclosporine in the Treatment of Myocardial Reperfusion Injury
Bibliographic record
Abstract
Myocardial injury in adult, pediatric, and newborn patients is a leading cause of mortality and morbidity. Although the underlying etiologies are different among patient populations, the sequence of initial ischemic-hypoxic injury followed by secondary myocardial reperfusion injury is relatively consistent. Overall infarct size is important because it is believed to be a key determinant of mortality. The detrimental effects of myocardial reperfusion have been proposed to be at least partially related to the formation of mitochondrial permeability transition pore (MPTP). The MPTP is a nonspecific pore, which forms during myocardial reperfusion and allows the release of apoptotic signaling molecules and may also lead to cellular necrosis. Cyclosporine A has been shown to be a potent inhibitor of the MPTP, leading to its study as a potential treatment to limit myocardial reperfusion injury. Multiple adult animal models have demonstrated the protective effects of cyclosporine in ischemia-reperfusion. A recent human pilot clinical trial also reported reduced myocardial injury and infarct size in patients treated with cyclosporine intravenously before percutaneous coronary intervention for ST-elevation myocardial infarction. Despite the paucity of evidence of cyclosporine A demonstrating myocardial protection in pediatric and newborn patients, the existing animal experimental results are promising.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".