Oral Immunotherapy with a Phosphorylated Hypoallergenic Allergen Ameliorates Allergic Responses More Effectively Than Intact Allergen in a Murine Model of Buckwheat Allergy
Bibliographic record
Abstract
Scope Buckwheat is a common food allergen frequently consumed in Asian countries, with Fag e 1 and Fag e 2 being the major buckwheat allergens. The purpose of this study is to prepare an oral immunotherapy agent by attenuating these allergens via phosphorylation. The immunomodulatory effects of phosphorylated Fag e 2 (P‐Fag e 2) in a mouse model of buckwheat allergy are evaluated. Methods and results Phosphorylated Fag e 1 (P‐Fag e 1) and P‐Fag e 2 are prepared by dry‐heating in the presence of pyrophosphate. Subsequent dot‐blot analysis using serum from food‐allergic patient indicates that both proteins exhibit reduced allergenicity upon phosphorylation. Mice subjected to oral administration of P‐Fag e 2 for 6 weeks exhibit decreased specific serum IgE and increased specific IgA after Fag e 2 sensitization compared to the sham‐treated mice. Moreover, the Peyer's patches (PP) of phosphorylated antigen‐fed mice show decreased IL‐4 production and induction of T follicular helper (Tfh) cells. Increased production of IL‐6 is observed in the CD11c+ cells isolated from the PPs of P‐Fag e 2‐fed mice. Conclusion These results indicate that attenuated allergens can suppress Th2‐induced allergic responses via induction of Tfh cells, which are regulated by IL‐6 secreted from dendritic cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".