Proteinase-activated Receptor-1 is an Anti-Inflammatory Signal for Colitis Mediated by a Type 2 Immune Response
Bibliographic record
Abstract
BACKGROUND: Activation of colonic proteinase activated receptor-1 (PAR1) provokes colonic inflammation and increases mucosal permeability in mice. The mechanism of inflammation is not neurogenic like in the paw of rats but depends on PAR1-mediated activation monocytic cells. PAR1 activation in the colon increases the release of lymphocyte T helper-1 (TH1) cytokines. Moreover, PAR1 expression is increased in biopsies from patients with inflammatory bowel disease, and its activation during TH1-mediated colitis in mice increases all of the hallmarks of inflammation. METHODS: This study aimed to characterize the effects of PAR1 activation in oxazolone-mediated colitis, involving a TH2 cytokine profile. RESULTS: Intracolonic administration of oxazolone increased myeloperoxidase activity, damage score, and interleukin (IL)-4, IL-10, tumor necrosis factor alpha, and IL-1beta mRNA expression but lowered interferon-gamma mRNA expression, indicating colonic inflammation of a TH2 profile. The concurrent intracolonic administration of a PAR1 agonist in oxazolone-treated mice inhibited colitis, resulting in a reduction of myeloperoxidase activity, damage score, and inflammatory cytokine mRNA expression. Using PAR1-deficient mice, we confirmed that the anti-inflammatory effects of PAR1 agonists were mediated by PAR1. Moreover, in PAR1-deficient mice or in mice treated with a PAR1 antagonist, oxazolone-induced colitis was exacerbated, showing an endogenous modulatory role for PAR1 in this TH2 cytokine profile of colitis. CONCLUSIONS: Thus, as opposed to a previously shown proinflammatory role for PAR1 in a TH1 cytokine-mediated colitis, our new data show anti-inflammatory role for PAR1 activation in the setting of TH2 cytokine colitis model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".