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Updated: Apr 19, 2026

Murine Model of Allergen Induced Asthma
Published on: May 14, 2012
Biomarker-based asthma phenotypes of corticosteroid response
Douglas C Cowan1, D Robin Taylor1, Laura E Peterson2
1Dunedin School of Medicine, University of Otago, Dunedin, New Zealand.
A panel of inflammatory biomarkers, including fraction of exhaled nitric oxide (Feno) and urinary bromotyrosine (BrTyr), can predict how well asthma patients respond to inhaled corticosteroid (ICS) therapy before treatment begins.
Area of Science:
- Pulmonology
- Biomarker Discovery
- Pharmacogenomics
Background:
- Asthma is a complex respiratory condition with varying responses to inhaled corticosteroid (ICS) treatment.
- Identifying predictors of ICS responsiveness is crucial for personalized asthma management.
Purpose of the Study:
- To investigate if a panel of inflammatory biomarkers can predict clinical responsiveness to ICS therapy in asthma patients.
- To evaluate the predictive utility of fraction of exhaled nitric oxide (Feno), sputum eosinophil count, and urinary bromotyrosine (BrTyr) levels.
Main Methods:
- A two-phase study involving steroid-naive asthma patients and a 28-day ICS treatment period.
- Measurement of Feno, sputum eosinophil counts, and urinary BrTyr levels during both phases.
- Assessment of ICS response based on FEV1, Asthma Control Questionnaire scores, and PC20AMP.
Main Results:
- Asthma patients exhibited elevated Feno, sputum eosinophils, and urinary BrTyr levels.
- A combination of high Feno and high urinary BrTyr levels demonstrated the strongest predictive power (13.3-fold) for favorable ICS response.
- Individual biomarkers showed utility, but their decrease magnitude did not correlate with clinical response magnitude.
Conclusions:
- A noninvasive biomarker panel, including Feno and urinary BrTyr, effectively predicts clinical responsiveness to ICS therapy in steroid-naive asthma patients.
- These biomarkers offer a promising tool for tailoring asthma treatment strategies.
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