Abstract 448: The Loss of Rad GTPase Protects Against Infarction-induced Myocardial Remodeling, Scar Formation, and Decompensatory Dilation
Bibliographic record
Abstract
Rationale: Myocardial infarction (MI) is a leading cause of death in the U.S. A non-contractile infarct compromises the overall mechanical function of the heart, reducing cardiac output and triggering decompensatory ventricular dilation. Rad GTPase, a member of the small GTPase RGK (Rem, Gem, Kir) family, is a calcium channel blocker that is endogenously expressed in the myocardium. We have previously shown that 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 mice to ligation of the left anterior descending (LAD) coronary artery, and monitored cardiac function using echocardiography. 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 calcium handling in isolated myocytes. Histological and MRI examination of both ex vivo global ischemia and in vivo 24 hour LAD ligated myocardium revealed that initial infarct size is comparable between knockout and wildtype. We found that Rad loss reduced scar development and elongation independent of preserving tissue viability. Investigation of inflammatory pathways to account for this revealed increased expression of the anti-inflammatory protein thrombospondin accompanied by a reduction in neutrophil infiltration into the myocardium after MI. Conclusion: Rad deletion results in reduced cardiac remodeling, diminished myocardial inflammation, and improved contractile function after MI.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".