Role of matrix metalloproteinase-2 in thrombin-induced vasorelaxation of rat mesenteric arteries
Bibliographic record
Abstract
The vasodilator effects of thrombin depend on activation of proteinase-activated receptor (PAR)-1 and the subsequent release of endothelin (ET)-1, which stimulates the generation of nitric oxide and PGs. We recently showed that thrombin released matrix metalloproteinase-2 (MMP-2) from rat arteries. We have now studied the significance of this release for the vasodilator effects of thrombin. Thrombin (>/=100 pmol), but not a PAR-1-activating peptide (TFLLR-NH(2)), produced a long-lasting (>10 min) vasorelaxation of rat mesenteric arteries, as detected by a microperfusion bioassay. Thrombin induced a simultaneous release of vascular MMP-2 into arterial perfusates, as revealed by zymography. Interestingly, the vasodilator effects of thrombin were inhibited by a tissue inhibitor of MMP-2 (TIMP-2, 10 pmol). Moreover, infusion of exogenous MMP-2 (5 pmol) resulted in vasorelaxation. These vasodilatory effects of thrombin and MMP-2 were significantly (P < 0.05) inhibited by endothelium denudation and by PD-142893 (2 nmol), an antagonist of ET receptors. Furthermore, both thrombin and MMP-2 constricted endothelium-denuded arteries. These results show that the vasodilator effects of thrombin may depend, in part, on a release of vascular MMP-2 and downstream activation of ETs. Thus MMP-2-dependent signaling may complement the PAR-1-dependent pathway of vasodilator action of thrombin.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 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".