DISTINCT ROLES OF IL-10 IN REGULATION OF PEANUT ALLERGY (140.10)
Bibliographic record
Abstract
Abstract Objective: To evaluate the role of IL-10 in regulation of peanut-driven cytokine production in peanut allergic, sensitized, and clinically tolerant human populations. Methods: Eighteen clinically peanut allergic, 8 sensitized, and 29 peanut non-allergic individuals between 6-45y were studied. PBMC were stimulated with peanut Ag alone, and in the presence of rIL-10 or anti-IL-10R neutralising Ab in short-term primary cultures. Peanut-driven Type 1, Type 2, and regulatory cytokine response profiles were quantified by ELISA. Results: IL-10 production in response to peanut-specific stimulation was higher in peanut allergic than non-allergic individuals. Exogenous rIL-10 abrogates peanut-driven cytokine production in peanut allergics. Blocking endogenous IL-10 function has no impact on recall Type 2 cytokine responses in non-allergics. Among peanut allergics, anti-IL-10R treatment during Ag stimulation enhanced both Th2 and Th1 recall responses. Conclusion: IL-10 and the IL-10R play no detectable role in preventing initiation of peanut specific food allergy, but may be important in limiting the intensity of peanut specific Th2 and pro-inflammatory responses in peanut allergic individuals.
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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 | 0.000 |
| 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 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".