Immunological and biochemical properties of egg allergens
Bibliographic record
Abstract
Food allergies or food intolerances affect nearly everyone at some point. “Food Allergy” refers to all interactions between molecules derived from the food supply and the immune system. Food allergies can be sub-divided into IgE (Immunoglobulin E) –mediated hypersensitivities and cell mediated hypersensitivities, but in most of the cases is IgE mediated. There has been an increased prevalence of food allergy reactions in the last decade. Approximately 2–3% of adults and 5–7% of children are affected by food allergy. Hen's egg is one of the most common causes of food allergic reactions, particularly in children. The prevalence of egg allergy is about 35% of food allergic children. It usually disappears by age five to seven years, but may sometimes be lifelong. Egg white, which is generally considered more allergenic than egg yolk, has four major allergenic proteins namely, ovomucoid (Gal d 1), ovalbumin (Gal d 2), ovotransferrin (Gal d 3), and lysozyme (Gal d 4) which are defined as immuno dominant proteins of egg white in egg allergic patients. Detailed characterization of the biochemical, immunological and structural properties of the major two allergens of the egg white, the ovalbumin and the ovomucoid have been studied. Studies of the B cell and T cell epitopes of these allergens have been summarized and mechanisms to reduce allergic reactions of these proteins at their molecular level has been evaluated in detail.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
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 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".