P0011 PP FOOD ALLERGENS ARE PROTECTED FROM DEGRADATION DURING CD23‐MEDIATED TRANSEPITHELIAL TRANSPORT.
Bibliographic record
Abstract
Introduction: CD23 (FceRII) is expressed in intestinal epithelial cells (IEC) during allergy and increases the epithelial uptake of IgE/allergen complexes (1.). The aim of this study was to further analyse the role of CD23 in the intraepithelial processing of food allergens during transepithelial transport. Methods: Balb-C mice were sensitized intraperitoneally with HRP or b-lactoglobulin in the presence of pertussis toxin. 3H-HRP, intact HRP, or 14C-b-lactoglobulin (b-LG) fluxes were measured across jejunal segments of control- or sensitized-mice, mounted in Ussing chambers in the presence or absence of mucosal anti-CD23 antibodies. HPLC analysis of serosal buffer was performed to detect HRP- or b-LG-derived radio-labelled metabolites generated during transepithelial transport. Results: In HRP-sensitized mice, 3H-HRP fluxes and intact HRP fluxes (3836 ± 1842 and 290±271 ng/h.cm2, respectively) were significantly increased as compared to control mice (1677±726 ng/h.cm2, p<0.01 and 106 ± 60 ng/h.cm2, p<0.02, respectively). RP-HPLC analysis indicated the presence of intact HRP in the serosal compartment as early as 10 minutes after mucosal addition of HRP, a result not found in control mice. In the presence of anti-CD23 antibodies, flux of intact HRP (290±271 ng/h.cm2) significantly decreased to the control value (131±63 ng/h.cm2, p<0.02), suggesting that CD23 is involved is this “protected” transport pathway. A similar protection from degradation during intestinal transport was observed for b-LG in b-LG sensitised mice. Conclusion: These results confirm that CD23 is involved in the rapid transepithelial transport of intact allergens in sensitized animals, and further indicate that CD23 opens this “protected” transport pathway across epithelial cells.
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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) | 0.001 | 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".