Ablation of MMP9 induces survival and differentiation of cardiac stem cells into cardiomyocytes in the heart of diabetics: a role of extracellular matrix
Bibliographic record
Abstract
The contribution of extracellular matrix (ECM) to stem cell survival and differentiation is unequivocal, and matrix metalloproteinase-9 (MMP9) induces ECM turn over; however, the role of MMP9 in the survival and differentiation of cardiac stem cells is unclear. We hypothesize that ablation of MMP9 enhances the survival and differentiation of cardiac stem cells into cardiomyocytes in diabetics. To test our hypothesis, Ins2(+/-) Akita, C57 BL/6J, and double knock out (DKO: Ins2(+/-)/MMP9(-/-)) mice were used. We created the DKO mice by deleting the MMP9 gene from Ins2(+/-). The above 3 groups of mice were genotyped. The activity and expression of MMP9 in the 3 groups were determined by in-gel gelatin zymography, Western blotting, and confocal microscopy. To determine the role of MMP9 in ECM stiffness (fibrosis), we measured collagen deposition in the histological sections of hearts using Masson's trichrome staining. The role of MMP9 in cardiac stem cell survival and differentiation was determined by co-immunoprecipitation (co-IP) of MMP9 with c-kit (a marker of stem cells) and measuring the level of troponin I (a marker of cardiomyocytes) by confocal microscopy in the 3 groups. Our results revealed that ablation of MMP9 (i) reduces the stiffness of ECM by decreasing collagen accumulation (fibrosis), and (ii) enhances the survival (elevated c-kit level) and differentiation of cardiac stem cells into cardiomyocytes (increased troponin I) in diabetes. We conclude that inhibition of MMP9 ameliorates stem cell survival and their differentiation into cardiomyocytes in diabetes.
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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".