Epidermal IL-33 drives inflammation in necroptosis-induced skin inflammation by recruiting TNF-producing immune cells
Bibliographic record
Abstract
Abstract Caspase-8 deficiency in the epidermis (caspase-8 EKO ) results in cutaneous inflammation resembling pustular psoriasis, triggered by necroptotic cell death of keratinocytes. Necroptosis is a highly proinflammatory form of programmed necrosis due to the release of intracellular molecules called alarmins, which can act as inflammatory mediators. However, their role in necroptosis-induced skin inflammation remains unexplored. Here, we demonstrate that alarmin IL-33 and its receptor ST2 are essential early mediators of necroptosis-induced skin inflammation. Genetic ablation of Il-33 or St2 dramatically delays lesion development and improves survival of caspase-8 EKO animals. IL-33 is highly expressed in necroptotic epidermis of caspase-8 EKO mice and induces immune cell recruitment in the skin upon keratinocyte necroptosis. Impairment of the IL33-ST2 axis does not affect epidermal necroptosis but reduces the recruitment of TNF-producing infiltrating immune cells and subsequent amplification of cutaneous inflammation. Collectively, our findings highlight a pivotal role for IL-33 and ST2 in necroptosis-induced skin inflammation. Teaser Inhibition of IL-33/ST2 axis alleviates necroptosis-induced skin inflammation by reducing TNF production in the dermis.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".