Heart disease: recruitment of MEF2 activity by β−blockers wards off cardiomyocyte death
Bibliographic record
Abstract
Morbidity and mortality associated with cardiovascular disease is a predominant global health problem. Death of cardiac muscle cells (cardiomyocytes) through programmed cell death (apoptosis) is one hallmark of the progression to heart failure. 1 Moreover, loss of cardiomyocytes due to myocardial infarction (MI) in patients who survive the initial insult is a major determinant of residual heart function and ultimately their longer term prognosis. The extent of cardiomyocyte death is thus a primary determinant of subsequent left ventricular remodeling and progress to heart failure. 2 Given that the human heart has virtually no innate capacity for regeneration, the mechanisms of cardiomyocyte cell death, and arguably more importantly, the survival of these cells and ultimately the salvage of the myocardium, is of profound clinical importance. An emergent concept in the report by Hashemi et al. 3 is that a protein complex named MEF2, commonly known for its role in the development of the cardiovascular system, is linked to cardiomyocyte survival. In addition, the β adrenergic signaling pathway that fulfills an extensive role in the physiology and pathology of the adult heart is shown to intersect with MEF2’s pro-survival function in cardiomyocytes.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".