Modulation of mast cell proteinase‐activated receptor expression and IL‐4 release by IL‐12
Bibliographic record
Abstract
It has been recognized that protease-activated receptors (PARs), interleukin (IL)-4 and IL-6 are involved in the pathogenesis of allergic diseases, and that IL-12 plays a role in adaptive immune response. However, little is known of the effect of IL-12 on protease-induced cytokine release from mast cells. In the present study, we examined potential influence of IL-12 on mast cell PAR expression and IL-4 and IL-6 release. The results showed that IL-12 downregulated the expression of PAR-2 and upregulated expression of PAR-4 on P815 cells. It also downregulated expression of PAR-2 mRNA, and upregulated expression of PAR-1, PAR-3 and PAR-4 mRNAs. However, IL-12 enhanced trypsin- and tryptase-induced PAR-2 and PAR-2 mRNA expression. It was observed that IL-12 induced release of IL-4, but reduced trypsin- and tryptase-stimulated IL-4 secretion from P815 cells. PD98059, U0126 and LY294002 not only abolished IL-12-induced IL-4 release but also inhibited IL-12-induced phosphorylation of extracellular signal-regulated kinase and Akt. In conclusion, IL-12 may serve as a regulator in keeping the balance of Th1 and Th2 cytokine production in allergic inflammation.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".