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CFTR modulator therapy reshapes airway inflammation in cystic fibrosis: Insights from proteomics and machine learning

delete2026-07-14
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OA
AI
F
Filip Årman
S
Stefanie Diemer
L
Lotta Happonen
L
Lisa I. Påhlman *
DOI:10.1016/j.jcf.2026.05.002delete
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Abstract

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

Journal of Cystic Fibrosis cover
Journal of Cystic Fibrosis
IF:
6
Papers:
2.9K
Citations:
7.3K

Organization

D
department of clinical science lund
Scholars:
4
Papers: 2
Citations: 0
L
Lund University
Scholars:
2.0K
Papers: 859
Citations: 5.1W
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