ArticleERJ open research2024
Beyond type 2 asthma biomarkers: risk stratification for NSAID-exacerbated respiratory disease.
Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of the Gut and Airway Microbiota in Chronic Rhinosinusitis with Nasal Polyps: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Unsupervised Machine-Learning-Based Endotype Discovery Using Iterative Resampling in Dupilumab-Treated Patients.International journal of molecular sciences · 2026Article
- The exploration of immunological landscape and drug targets in chronic rhinosinusitis with nasal polyps.The World Allergy Organization journal · 2026Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Type 2 (T2) asthma is often associated with chronic rhinosinusitis with nasal polyposis (CRSwNP). Additionally, nonsteroidal anti-inflammatory drug (NSAID) intolerance leads to NSAID-exacerbated respiratory disease (N-ERD). Previous transcriptomic data in non-CRSwNP T2 asthma patients showed differentially expressed genes. We focused on Methods: The study included 100 healthy controls and 103 T2 asthma patients, divided into patients with asthma (n=54), patients with asthma and CRSwNP (n=29) and patients with N-ERD (n=20). Quantitative PCR analysis was performed on blood-derived RNA samples first to validate the five differentially expressed genes. The data were further analysed to find potential associations and biomarkers. Results: Patients, regardless of stratification, exhibited significantly higher gene expression than healthy controls. The patterns of association revealed that Discussion: We validated the transcriptomic data of five differentially expressed genes in T2 asthma. Different patterns of association were identified in patient stratification, suggesting that different molecular mechanisms underlie the spectrum of T2 asthma. Potential biomarkers were also found and used to design an algorithm with practical diagnostic utility for T2 asthma, including risk stratification for N-ERD.
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Registered trials
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