Evidence supporting paracrine hypothesis for Akt‐modified mesenchymal stem cell‐mediated cardiac protection and functional improvement
Bibliographic record
Abstract
ABSTRACT We previously reported that intramyocardial injection of bone marrow‐derived mesenchymal stem cells overexpressing Akt (Akt‐MSCs) inhibits ventricular remodeling and restores cardiac function measured 2 wk after myocardial infarction. Here, we report that the functional improvement occurs in < 72 h. This early remarkable effect cannot be readily attributed to myocardial regeneration from the donor cells. Thus, we hypothesized that paracrine actions exerted by the cells through the release of soluble factors might be important mechanisms of tissue repair and functional improvement after injection of the Akt‐MSCs. Indeed, in the current study we demonstrate that conditioned medium from hypoxic Akt‐MSCs markedly inhibits hypoxia‐induced apoptosis and triggers vigorous spontaneous contraction of adult rat cardiomyocytes in vitro . When injected into infarcted hearts, the Akt‐MSC conditioned medium significantly limits infarct size and improves ventricular function relative to controls. Sup‐port to the paracrine hypothesis is provided by data showing that several genes, coding for factors (VEGF, FGF‐2, HGF, IGF‐I, and TB4) that are potential mediators of the effects exerted by the Akt‐MSC conditioned medium, are significantly up‐regulated in the Akt‐MSCs, particularly in response to hypoxia. Taken together, our data support Akt‐MSC‐mediated para‐crine mechanisms of myocardial protection and functional improvement.‐Gnecchi, M., He, H., Noiseux, N., Liang, O. D., Zhang, L., Morello, F., Mu, H., Melo, L. G., Pratt, R. E., Ingwall, J. S., Dzau, V. J. Evidence supporting paracrine hypothesis for Akt‐modified mes‐enchymal stem cell‐mediated cardiac protection and functional improvement. FASEB J. 20, 661–669 (2006)
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".