High expression of<scp>CD</scp>98 alters epithelial barrier functions to promote induction of airway allergy
Bibliographic record
Abstract
BACKGROUND: Epithelial barrier dysfunction is critical in the induction of allergy; the aetiology is to be further understood. A recent report indicates that CD98 plays a role in the intestinal epithelial barrier dysfunction. OBJECTIVES: This study aimed to investigate the role of overexpression of CD98 in the induction of nasal allergy. METHODS: The nasal epithelium samples were collected from 30 patients with allergic rhinitis and 30 healthy subjects. The contents of CD98 and Staphylococcal enterotoxin B (SEB) in the nasal epithelium samples were evaluated by using Western blotting. The effect of SEB of inducing the expression of CD98 was evaluated with an airway epithelial cell line, the 16HBE14o cells. The epithelial barrier function was assessed with the indicators of transepithelial resistance (TER) and permeability to horseradish peroxidase (HRP). A mouse model was employed to evaluate the role of CD98 in the induction of nasal allergy. RESULTS: High levels of CD98 and SEB were detected in the nasal epithelium of patients with allergic rhinitis. A positive correlation was identified between CD98 and SEB in nasal epithelium samples. Exposure to SEB could induce the overexpression of CD98 in RPMI 2650 and 16HBE14o cells. The overexpression of CD98 down-regulated TER and increased the permeability to HRP in 16HBE14o monolayers. Concurrent exposure to SEB and OVA induced nasal allergies in a mouse model that could be blocked by pre-treatment with anti-CD98 antibody. CONCLUSIONS AND CLINICAL RELEVANCE: CD98 plays a critical role in compromising the airway epithelial barrier function that contributes to the induction of airway allergy.
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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 | 0.000 | 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) | 0.002 | 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".