Gene expression profiling of bronchial brushes is associated with the level of emphysema measured by computed tomography-based parametric response mapping.
Senani N H RathnayakeFirdaus A A Mohamed HoeseinCraig J GalbanNick H T Ten HackenBrian Gregory George OliverMaarten van den BergeAlen FaizPublished in: American journal of physiology. Lung cellular and molecular physiology (2020)
Parametric response mapping (PRM) is a computed tomography (CT)-based method to phenotype patients with chronic obstructive pulmonary disease (COPD). It is capable of differentiating emphysema-related air trapping with nonemphysematous air trapping (small airway disease), which helps to identify the extent and localization of the disease. Most studies evaluating the gene expression in smokers and COPD patients related this to spirometric measurements, but none have investigated the relationship with CT-based measurements of lung structure. The current study aimed to examine gene expression profiles of brushed bronchial epithelial cells in association with the PRM-defined CT-based measurements of emphysema (PRMEmph) and small airway disease (PRMfSAD). Using the Top Institute Pharma (TIP) study cohort (COPD = 12 and asymptomatic smokers = 32), we identified a gene expression signature of bronchial brushings, which was associated with PRMEmph in the lungs. One hundred thirty-three genes were identified to be associated with PRMEmph. Among the most significantly associated genes, CXCL11 is a potent chemokine involved with CD8+ T cell activation during inflammation in COPD, indicating that it may play an essential role in the development of emphysema. The PRMEmph signature was then replicated in two independent data sets. Pathway analysis showed that the PRMEmph signature is associated with proinflammatory and notch signaling pathways. Together these findings indicate that airway epithelium may play a role in the development of emphysema and/or may act as a biomarker for the presence of emphysema. In contrast, its role in relation to functional small airways disease is less clear.
Keyphrases
- chronic obstructive pulmonary disease
- lung function
- computed tomography
- gene expression
- contrast enhanced
- dual energy
- cystic fibrosis
- image quality
- positron emission tomography
- dna methylation
- air pollution
- pulmonary fibrosis
- magnetic resonance imaging
- idiopathic pulmonary fibrosis
- genome wide
- high resolution
- oxidative stress
- smoking cessation
- machine learning
- electronic health record
- signaling pathway
- cell proliferation
- genome wide identification
- pet ct