Effect of salmeterol on allergen‐induced airway inflammation in mild allergic asthma
Bibliographic record
Abstract
A previous study suggested that the long-acting beta2-adrenergic agonist salmeterol (SM) had inhibitory effects on bronchial mucosal inflammation 6 hours after allergen exposure. To further evaluate the influence of SM on allergen-induced airway inflammation. We studied, in a randomized, double-blind, cross-over trial, 16 mild asthmatic patients who had a dual asthmatic response to allergen inhalation. Subjects received 50 microg of SM or placebo (P), twice daily for 1 week each, separated by a 2-week wash-out period. At the end of each treatment period, after withholding SM for 24 h, they had a methacholine inhalation test (medication was resumed after the test), followed 24 h later by an AC with the concentration of allergen that had induced a LAR at baseline. Airway inflammation was assessed 24 h after the AC by bronchoalveolar lavage (BAL) (n = 16) and bronchial biopsies (n = 13). As expected, SM improved baseline FEV1 and PC20 (P < or = 0.009) and decreased the allergen-induced early bronchoconstrictive response. There were no significant differences in BAL cell counts after the two treatments. On bronchial biopsies, numbers (median, mm2) of submucosal CD45 (P: 43 +/- 23; SM: 161 +/- 43, P = 0.031), CD45Ro (P: 37 +/- 19; SM: 126 +/- 41, P = 0.047) and AA1 positive cells (P: 38 +/- 6, SM: 65 +/- 17, P = 0.006) were significantly higher after SM than P treatment. The numbers of CD4 (P: 11 +/- 10; SM: 32 +/- 7, P = 0.085), HLA-DR (P: 65 +/- 30; SM: 116 +/- 36, P = 0.079) and EG2 positive cells (P: 25 +/- 15; SM: 38 +/- 26, P = 0.09) tended to increase with SM treatment. In summary, compared to placebo, 1 week of regular use of SM is associated with an increase in bronchial inflammatory cells 24 h after AC. This is in keeping with the recommendation that salmeterol should only be used with an anti-inflammatory agent, particularly in the context of significant allergen exposure.
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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) | 0.001 | 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".