Neonatal Transfer of Membrane-Bound Stem Cell Factor Improves Survival and Heart Function in Aged Mice After Myocardial Ischemia
Bibliographic record
Abstract
Stem cell mobilization to injured tissue contributes to neovascularization, resulting in regeneration after myocardial infarction (MI). We previously showed that direct cardiac injection of a recombinant lentivirus (LV) that engineers expression of membrane-bound stem cell factor (mSCF) improves outcomes immediately after MI. In this study, we evaluated the effect of neonatal LV/mSCF transduction on MI outcomes in aged mice. We constructed a recombinant LV harboring an α-myosin heavy chain promoter that drives mSCF expression and injected it into the temporal vein of neonatal mice. One year later, sustained expression of mSCF in the adult mouse hearts was detected by genomic and quantitative RT-PCR and immunohistochemistry. To evaluate the contribution of neonatal LV/mSCF delivery to recovery from MI, we induced an MI in adult LV/mSCF-transduced, LV only-transduced, and nontransduced control mice. Strikingly, LV/mSCF transduction reduced infarct scar size, enhanced angiogenesis, improved ventricular function, and significantly increased survival of the mice. Regional overexpression of CD11b, a marker of monocytes and proangiogenic cells, was observed on monocytes isolated from the infarcted hearts of LV/mSCF-transduced mice. Our data suggest a model of neonatal gene delivery that leads to sustained mSCF expression during adulthood to aid recovery from MI and prevent heart failure. Sun and colleagues evaluate the effect of neonatal lentiviral transduction of membrane-bound stem cell factor (LV/mSCF) on myocardial infarction (MI) outcomes in aged mice. One year after LV/mSCF injection into the temporal veins of neonatal mice, sustained mSCF expression was detected. MI induction in mice injected with the vector resulted in reduced infarct scar size, enhanced angiogenesis, improved ventricular function, and significantly increased survival.
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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".