Abstract 457: Rad-deletion Provides Dual Therapeutic Benefits for the Heart
Bibliographic record
Abstract
Rationale: Myocardial infarction (MI) compromises the overall mechanical function of the heart, reducing cardiac output and triggering decompensatory remodeling. Rad GTPase is an L-type calcium channel complex (LTCC) constituent that governs trigger calcium in the myocardium. Rad deletion in mice results in increased Ca 2+ handling and a sustained non-pathological improvement in left ventricular function compared to wildtype. Hypothesis: Rad-ablation attenuates post-ischemic loss of function, resulting in reduced remodeling and improved long-term contractility. Methods and Results: We subjected Rad-deficient (Rad -/- ) mice to ligation of the left anterior descending (LAD) coronary artery, and monitored cardiac structure and function using echocardiography and single cell Ca 2+ measurements. We found that Rad deletion reduces both mortality and contractile dysfunction after MI, as well as ventricular dilation over five weeks. This improvement is also accompanied by preserved Ca 2+ handling in isolated myocytes. Histological and MRI examination of ex vivo global ischemia and in vivo 24 hour post-MI myocardium revealed that initial infarct size and area at risk are comparable between knockout and wildtype. Rad loss reduced scar spread independent of preserving tissue viability. mRNA microarray findings implicated differential inflammatory pathway activation with Rad-deletion. Rad -/- showed reduced neutrophil extravasation and reduced inflammatory cytokines in the left ventricle 24 hours after MI. Conclusion: Rad deletion results in reduced cardiac remodeling, diminished myocardial inflammation, and improved contractile function before and after MI. These results suggest that Rad-deletion is a novel therapeutic direction that may serve as a combined positive inotrope and regulator of acute MI inflammatory response.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".