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CFTR modulator therapy reshapes airway inflammation in cystic fibrosis: Insights from proteomics and machine learning
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DOI：10.1016/j.jcf.2026.05.002.png)
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Abstract
En 中文
• ETI improves outcomes in CF, but airway inflammatory biology is incompletely defined. • Longitudinal DIA proteomics reveals airway molecular effects of ETI. • ETI reduces neutrophil-driven inflammation in CF sputum proteomes. • Machine learning identifies sputum proteins linked to ETI response.
Keywords:
Cystic fibrosis
Elexacaftor/Tezacaftor/Ivacaftor
CFTR modulator therapy
Airway inflammation
Lung function
Proteome
Cytokines
Machine learning
Journal
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6
Papers:
2.9K
Citations:
7.3K
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