Nitric oxide and p38 MAP kinase mediate shear stress‐dependent inhibition of MMP‐2 production in microvascular endothelial cells
Bibliographic record
Abstract
Chronic exposure of the skeletal muscle microcirculation to elevated shear stress-induces angiogenesis. Previous studies observed that shear stress-induced capillary growth involves luminal sprouting, or internal division, of the capillaries, which is characterized by a minimal proliferative response and the retention of an intact basement membrane. Matrix metalloproteinases (MMPs) are associated with the process of abluminal sprouting angiogenesis, but may not be required for the process of luminal division during capillary growth. We analyzed the production of MMP-2, using both the in vivo model of prazosin-induced angiogenesis in rat skeletal muscle, and cultured microvascular endothelial cells exposed to laminar shear stress. We found that MMP-2 was not elevated in capillaries of shear stress-stimulated skeletal muscle, despite a significant increase in capillary number in response to a shear stress stimulus. In cultured microvascular endothelial cells, MMP-2 mRNA and protein levels were attenuated significantly in response to shear stress exposure. This effect on MMP-2 was reversed by nitric oxide (NO) synthase inhibition using LNNA. In contrast, exposure of static cultures of endothelial cells to NO donors significantly reduced MMP-2 production. Shear stress exposure and NO donors both modified phosphorylation levels of several members of the MAPK family. Treatment of shear stress-exposed cells with the p38 MAPK inhibitor, SB203580, abolished the shear stress-mediated reduction in MMP-2 mRNA. Thus, our data provide strong evidence that elevated shear stress inhibits MMP-2 production in microvascular endothelial cells, an effect that is mediated by signal pathways involving both production of NO and activation of p38 MAPK.
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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".