Electrophoretic and Immunochemical Characterization of Allergenic Proteins in Buckwheat
Bibliographic record
Abstract
BACKGROUND: Buckwheat allergies are not common, however, it is considered to be a very potent allergen. Ingestion of small amounts has been found to produce anaphylactic reactions, particularly in children. Identification and characterization of the major allergen(s) in buckwheat are currently underway, however, there are some discrepancies in the findings. METHODS: Identification of the major allergen(s) was determined through Western blotting using buckwheat-allergic patients' sera. Once the allergenic proteins were identified, they were purified, their IgE-binding activity assessed through an indirect ELISA and the N-terminal amino acid sequence completed. To assess the stability of the IgE-binding epitopes, protein fractions were exposed to various treatments and assayed using an indirect ELISA. Lastly, the presence of anti-buckwheat IgG in the patients' sera was analyzed through Western blotting and ELISA. RESULTS: IgE binding was detected to proteins with molecular masses of approximately 14 and 18 kDa. N-terminal sequencing was completed and found to share some homology with rice proteins associated with rice allergies and cross-allergenicity with buckwheat proteins. When the water-soluble protein fraction was heated, exposed to acidic and alkaline conditions and fully denatured, IgE-binding activity was reduced. When the fraction was partially denatured through urea, IgE-binding activity increased. Furthermore, IgG-binding activity was detected with proteins only above the 20 kDa region. CONCLUSIONS: Proteins with molecular masses around 14 and 18 kDa were identified as the major allergenic proteins in the buckwheat-allergic patients' sera tested in this study. Results also indicate that these two proteins possess IgE-binding capability.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".