Cutting Edge: The ST2 Ligand IL-33 Potently Activates and Drives Maturation of Human Mast Cells
Bibliographic record
Abstract
IL-33, the natural ligand of the IL-1 receptor family member ST2L, is known to enhance experimental allergic-type inflammatory responses by costimulating the production of cytokines from activated Th2 lymphocytes. Although ST2L has long been known to be expressed by mast cells, its role in their biology has not been explored. In this study we report that IL-33 directly stimulates primary human mast cells (MCs) to produce several proinflammatory cytokines and chemokines and also exerts a permissive effect on the MCs response to thymic stromal lymphopoietin, a recently described potent MCs activator. IL-33 also acts both alone and in concert with thymic stromal lymphopoietin to accelerate the in vitro maturation of CD34(+) MC precursors and induce the secretion of Th2 cytokines and Th2-attracting chemokines. Taken together, these results suggest that IL-33 may play an important role in mast cell-mediated inflammation and further emphasize the role of innate immunity in allergic diseases.
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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) | 0.004 | 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".