Tissue inhibitor of metalloproteinase-3 inhibits neonatal mouse cardiomyocyte proliferation via EGFR/JNK/SP-1 signaling
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Bibliographic record
Abstract
We have recently demonstrated that tissue inhibitor of metalloproteinase-3 (TIMP-3) decreases neonatal cardiomyocyte proliferation (Hammoud L, Xiang F, Lu X, Brunner F, Leco K, Feng Q. Cardiovasc Res 75: 359-368, 2007). The aim of the present study was to delineate a pathway through which TIMP-3 exerts its antiproliferative effect. Experiments were conducted on neonatal cardiomyocyte cultures and heart tissues isolated from wild-type (WT) and TIMP-3(-/-) mice. Deficiency in TIMP-3 decreased p27 expression and increased cardiomyocyte proliferation in cardiomyocytes and neonatal hearts. A TIMP-3/epidermal growth factor (EGF) receptor (EGFR)/c-Jun NH(2)-terminal kinase (JNK)/SP-1/p27 pathway was investigated. JNK phosphorylation and EGFR protein levels were increased in TIMP-3(-/-) cardiomyocytes and heart tissues. Treatment with recombinant TIMP-3 decreased JNK phosphorylation and EGFR expression/phosphorylation. Inhibition of JNK activity using SP-600125 decreased SP-1 phosphorylation, increased p27 expression, and decreased cardiomyocyte proliferation. Furthermore, treatment with the EGFR specific inhibitor PD-168393 or the EGF-neutralizing antibody decreased cardiomyocyte proliferation as well as phosphorylation of JNK and SP-1 in both WT and TIMP-3(-/-) cardiomyocytes. We conclude that TIMP-3 inhibits neonatal mouse cardiomyocyte proliferation by upregulating p27 expression. The effects of TIMP-3 are mediated via inhibition of EGFR expression/phosphorylation, and decreases in JNK and SP-1 signaling.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it