Altered T Helper 17 Responses in Children with Food Allergy
Bibliographic record
Abstract
BACKGROUND: While a central role for the T helper (Th) 1/Th2 axis in food allergy has been established, the Th17 response in food-allergic humans has not been addressed. METHODS: Th17 responses in 18 peanut-allergic children, who were also allergic to at least one additional food allergen, were assessed relative to 15 age-matched healthy controls. To account for the atopy background in the allergic children, 7 atopic, but not food-allergic, individuals and their age-matched controls were included in this study. PBMCs were analyzed by flow cytometry ex vivo or were stimulated in vitro with peanut allergens, gliadin, or tetanus toxoid followed by analysis of proliferation and cytokine production in antigen-responsive cells. RESULTS: We observed a significantly lower interleukin (IL) 17 production in CD4+ T cells of food-allergic individuals ex vivo (p < 0.02). In vitro, we found that IL-17 production in CD4+ T cells in response to all antigens tested was significantly impaired in food-allergic subjects compared to healthy controls (Ara: p < 0.005; gliadin: p < 0.004; TT: p < 0.03). No significant differences were observed between atopic and nonatopic individuals with no food allergy. CONCLUSION: Our results thus reveal a systemic, non-allergen-specific defect in Th17 responses to antigen stimulation in food allergic individuals, suggesting a role for Th17 cells in the control of food allergy and implicating IL-17 as a potential biomarker for tolerance to food antigens.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".