Restricted ability of human mast cell tryptase to activate proteinase-activated receptor-2 in rat aorta
Bibliographic record
Abstract
We investigated the potential of human mast cell tryptase to induce relaxation of rat aorta. Trypsin and the selective PAR2-activating peptide (PAR2-AP) SLIGRL-NH2 stimulated robust relaxation of phenylephrine-precontracted rat aortic rings. However, human lung tryptase (1-100 nM) either in the presence or absence of heparin failed to induce any significant relaxation. Notwithstanding, incubation of the aorta with tryptase (100 nM), following the addition of a peptide corresponding to the cleavage/activation sequence of rat PAR2 (rPAR2), resulted in relaxation of precontracted tissue due to the proteolytic release of the PAR2-AP SLIGRL/ from the parent peptide. Thus, tryptase was enzymatically active in the bioassay system. Preincubation of aorta with neuraminidase to remove cell-surface sialic acid unmasked the ability of tryptase to induce relaxation of the aorta, but had no effect on relaxation induced by trypsin, SLIGRL-NH2, or acetylcholine (Ach). Like trypsin and SLIGRL-NH2, the tryptase-induced relaxation was inhibited by either removal of the endothelium or pretreatment of the tissue with NG-nitro-L-arginine methyl ester (L-NAME), suggesting an endothelium-derived nitric oxide mechanism. Interestingly, tryptase in the presence of heparin failed to induce relaxation of precontracted neuraminidase-treated rat aorta. We conclude that tryptase-induced relaxation of rat aorta, most likely via PAR2, is tightly regulated by heparin and cell-surface sialic acid.
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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 | 0.000 | 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) | 0.002 | 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".