Proteinase-activated receptor-2 activating peptides: distinct canine coronary artery receptor systems
Bibliographic record
Abstract
In canine coronary artery preparations, the proteinase-activated receptor-2 (PAR(2)) activating peptides (PAR(2)-APs) SLIGRL-NH(2) and 2-furoyl-LIGRLO-NH(2) caused both an endothelium-dependent relaxation and an endothelium-independent contraction. Relaxation was caused at peptide concentrations 10-fold lower than those causing a contractile response. Although trans-cinnamoyl-LIGRLO-NH(2), like other PAR(2)-APs, caused relaxation, it was inactive as a contractile agonist and instead antagonized the contractile response to SLIGRL-NH(2). RT-PCR-based sequencing of canine PAR(2) revealed a cleavage/activation (indicated by underlines) sequence (SKGR/SLIGKTDSSLQITGKG) that is very similar to the human PAR(2) sequence (R/SLIGKV). As a synthetic peptide, the canine PAR-AP (SLIGKT-NH(2)) was a much less potent agonist than either SLIGRL-NH(2) or 2-furoyl-LIGRLO-NH(2), either in the coronary contractile assay or in a Madin-Darby canine kidney (MDCK) cell PAR(2) calcium signaling assay. In the MDCK signaling assay, the order of potencies was as follows: 2-furoyl-LIGRLO-NH(2) >> SLIGRL-NH(2) = trans-cinnamoyl-LIGRLO-NH(2) >> SLIGKT-NH(2), as expected for PAR(2) responses. In the coronary contractile assay, however, the order of potencies was very different: SLIGRL-NH(2) >> 2-furoyl-LIGRLO-NH(2) >> SLIGKT-NH(2), trans-cinnamoyl-LIGRLO-NH(2) = antagonist. Because of 1) the distinct agonist (relaxant) and antagonist (contractile) activity of trans-cinnamoyl-LIGRLO-NH(2) in the canine coronary contractile assays, 2) the different concentration ranges over which the peptides caused either relaxation or contraction in the same coronary preparation, and 3) the markedly distinct structure-activity profiles for the PAR-APs in the coronary contractile assay, compared with those for PAR(2)-mediated MDCK cell calcium signaling, we suggest that the canine coronary tissue possesses a receptor system for the PAR-APs that is distinct from PAR(2) itself.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".