IL-33 Is a Negative Regulator of Vaccine-Induced Antigen-Specific Cellular Immunity
Bibliographic record
Abstract
Abstract The cytokine IL-33 is a well-established inducer of Th2 responses. However, roles for IL-33 in promoting CD8, Th1, and T regulatory cell responses have also emerged. In this study, the role of IL-33 as a regulator of particulate vaccine adjuvant-induced Ag-specific cellular immunity was investigated. We found that polymeric nanoparticles surpassed alum in their ability to enhance Ag-specific CD8 and Th1 responses. IL-33 was a potent negative regulator of both CD8+ T cell and Th1 responses following i.m. vaccination with Ag and nanoparticles, whereas the cytokine was required for the nanoparticle enhancement in Ag-specific IL-10. In contrast to the effect on cellular immunity, Ab responses were comparable between vaccinated wild-type and IL-33–deficient mice. IL-33 did not compromise alum-induced adaptive cellular immunity after i.m. vaccination. These data suggest that IL-33 attenuates the induction of cellular immune responses by nanoparticulate adjuvants and should be considered in the rational design of vaccines targeting enhanced CD8 and Th1 responses.
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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) | 0.001 | 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".