Barrier‐forming, drug‐free nasal spray reduces allergic symptoms induced by house dust mite allergen
Bibliographic record
Abstract
BACKGROUND: House Dust Mite (HDM) is the most common indoor allergen triggering allergic symptoms. First-line pharmacotherapy treatment is recommended in international guidelines, while the avoidance of allergens represents a still unmet guideline principle. AM-301 is a new non-pharmacological nasal spray that creates a protective gel-like barrier on the nasal mucosa, preventing the contact with the allergens. METHODS: This randomized, open-label, 3-period crossover study assessed the efficacy and safety of AM-301. The objective was to determine whether AM-301 reduces allergic rhinitis (AR) symptoms in patients exposed to HDM allergens. Adults with confirmed Perennial Allergic Rhinitis (PAR; n = 37) were exposed to HDM allergen in a controlled Allergen Exposure Chamber before and during a treatment course of AM-301 (in six different sequences) within 3 weeks (A: One spray AM-301 per nostril/B: Two sprays AM-301 per nostril/C: no treatment). For the primary efficacy analysis, data from the total nasal symptom score (TNSS) were pooled from treatment A + B (D) and analyzed with Analysis of Covariance Model. As secondary endpoints, single time points, visits and symptoms were analyzed. RESULTS: The primary endpoint (overall change in TNSS from baseline over all three visits) showed significant results (p = 0.0085). A comparable alleviation of all four symptoms (itchy nose, nasal congestion, runny nose, sneezing) by the protective layer started to emerge after 40 min and lasted up to 180 min (end of challenge). AM-301 resulted to be safe and well-tolerated. CONCLUSION: AM-301 significantly reduced HDM-related allergic symptoms in a standardized allergen challenge. Protection was observed to last up to 180 min.
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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 | 0.001 | 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) | 0.000 | 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".