Physiology and Pathophysiology of Proteinase-Activated Receptors (PARs): Proteinases as Hormone-Like Signal Messengers: PARs and More
Bibliographic record
Abstract
Proteinases like thrombin and trypsin, long known for their ability to activate the coagulation cascade or to act as digestive enzymes for many protein targets, are now recognized as hormone-like regulators of cell function. These serine proteinases activate cell signaling by triggering a novel family of G-protein-coupled receptors, termed proteinase-activated receptors (PARs). This article summarizes the unique mechanisms involved in PAR activation and outlines the many different settings in which the PARs act to regulate tissue function. The PARs can be seen to play a role in inflammatory processes in large part via a neurogenic mechanism. Apart from activating PARs to cause their physiological effects in tissues, proteinases can also mediate cell signaling via a number of other mechanisms, including the activation of growth factor receptors, like the one for insulin. Thus, this article also points out the non-PAR mechanisms whereby proteinases can have hormone-like actions in cells and tissues.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.002 |
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".