Skeletal Myoblasts Preserve Remote Matrix Architecture and Global Function When Implanted Early or Late After Coronary Ligation Into Infarcted or Remote Myocardium
Bibliographic record
Abstract
BACKGROUND: The inability of skeletal myoblasts to transdifferentiate into cardiomyocytes suggests that their beneficial effects on cardiac function after a myocardial infarction are mediated by paracrine effects. We evaluated the roles of these factors in the preservation of matrix architecture (in the infarct and remote regions) by varying the timing (postmyocardial infarction) and delivery site of the implanted cells. METHODS AND RESULTS: Skeletal myoblasts (5x10(6)) or control media were injected into the infarct or noninfarcted myocardium at 5 or 30 days after coronary artery ligation in rats. Function was assessed by echocardiography before transplantation and 14 and 30 days thereafter and with a Millar catheter at 30 days after transplantation. Ventricular geometry, remote fibrillar collagen architecture, and changes in the matrix metalloproteinase-TIMP system were evaluated. Myoblast implantation in both sites and at both times preserved matrix architecture (length and width of collagen fibers) in the remote myocardium (in association with some decreases in remote myocardial matrix metalloprotease activity), improved global cardiac function, and attenuated the progressive increase in end diastolic volume (P<0.05 for all measures compared with medium controls). Cells delivered into the infarct region preserved scar thickness; cells delivered into the noninfarcted myocardium preserved wall thickness. CONCLUSIONS: Regardless of whether the cells were injected into the infarct or the noninfarcted myocardium early after an myocardial infarction or later, skeletal myoblasts improved cardiac function by preventing ventricular dilation and preserving matrix architecture in the remote region, likely mediated by paracrine effects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".