No evidence for IgE receptor FcεRI expression on bronchial epithelial cells of asthmatic patients
Bibliographic record
Abstract
Immunoglobulin E (IgE) plays an important role in the pathogenesis of asthma and anti-IgE therapy was approved for treating patients with severe persistent allergic asthma. The exact target sites of anti-IgE therapy are not well characterized; however, it has been proposed that the therapeutic effects of anti-IgE come from its intervention in the airway remodeling process. To gain insights on how anti-IgE therapy improves asthma symptoms, we aimed to validate the expression of FcεRI on airway epithelial cells and demonstrate its role in airway remodeling. The expression of FcεRI was measured (1) in situ in bronchial biopsy tissues of asthmatic and control subjects using immunohistochemistry and (2) in vitro in primary bronchial epithelial cells obtained from asthmatic subjects, at baseline and after treatment with human IgE, using qPCR and flow cytometry. FcεRI expression in situ was detected only in a very small number of cells in the epithelium of bronchial biopsies of asthmatic and control subjects. In vitro measurement revealed no expression of the receptor both at baseline and after stimulation with IgE. The release of transforming growth factor—beta (TGF)-β and thymic stromal lymphopoietin (TSLP) were examined by ELISA in bronchial epithelial cells after crosslinking of IgE. No significant differences in TSLP and TGF-β protein levels were detected between stimulated and unstimulated cells. Hence, our data conclusively indicate that bronchial epithelial cells have negligible expression of functional high affinity receptor for IgE. Taken together, anti-IgE therapy is very likely to exert its therapeutic effects via other structural cell types.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".