Role of protease-activated receptors in inflammatory responses, innate and adaptive immunity
Bibliographic record
Abstract
Serine proteases are well known as enzymes involved in digestion of dietary proteins, blood coagulation, and homeostasis. Only recent groundbreaking studies revealed a novel role of serine proteases as signaling molecules acting via protease-activated receptors (PARs). Important effects of PAR activation on leukocyte motility, cytokine production, adhesion molecule expression, and a variety of other physiological or pathophysiological functions have been described in vitro and in vivo. The crucial role of PAR activation during disease progression was revealed in animal models of different gastrointestinal pathologies, neuroinflammatory and neurodegenerative processes, skin, joint and airway inflammation, or allergic responses. This review focuses on the findings related to the impact of PAR deficiency in animal models of inflammatory and allergic diseases. Additionally, we observe the role of PAR activation in the regulation of functional responses of innate and adaptive immune cells in vitro. Understanding the mechanisms by which PARs exert the effects of serine proteases on immune cells may lead to new therapeutic strategies in inflammation, immune defense, and allergy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.003 | 0.003 |
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".