GATA-4 Is an Angiogenic Survival Factor of the Infarcted Heart
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Recent data suggest that GATA-4 is an antiapoptotic factor required for adaptive responses and a key regulator of hypertrophy and hypertrophy-associated genes in the heart. As a leading cause of chronic heart failure, reversal of postinfarction left ventricular remodeling represents an important target for therapeutic interventions. Here, we studied the role of GATA-4 as a mediator of postinfarction remodeling in rats. METHODS AND RESULTS: Myocardial infarction, caused by ligating the left anterior descending coronary artery, significantly decreased the DNA binding activity of GATA-4 at day 1, whereas at 2 weeks the GATA-4 DNA binding was significantly upregulated. To determine the functional role of GATA-4, peri-infarct intramyocardial delivery of adenoviral vector expressing GATA-4 was done before left anterior descending coronary artery ligation. Hearts treated with GATA-4 gene transfer exhibited significantly increased ejection fraction and fractional shortening. Accordingly, infarct size was significantly reduced. To determine the cardioprotective mechanisms of GATA-4, myocardial angiogenesis, rate of apoptosis, c-kit+ cardiac stemlike cells, and genes regulated by GATA-4 were studied. The number of capillaries and stemlike cells was significantly increased, and decreased apoptosis was observed. CONCLUSION: These results indicate that the reversal of reduced GATA-4 activity prevents adverse postinfarction remodeling through myocardial angiogenesis, antiapoptosis, and stem cell recruitment. GATA-4-based gene transfer may represent a novel, efficient therapeutic approach for heart failure.
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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) | 0.001 | 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 it