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Bronchial gene expression signature associated with rate of subsequent FEV 1 decline in individuals with and at risk of COPD

  • Elizabeth J. Becker
  • , Alen Faiz
  • , Maarten Van Den Berge
  • , Wim Timens
  • , Pieter S. Hiemstra
  • , Kristopher Clark
  • , Gang Liu
  • , Xiaohui Xiao
  • , Yuriy O. Alekseyev
  • , George O'Connor
  • , Stephen Lam
  • , Avrum Spira
  • , Marc E. Lenburg
  • , Katrina Steiling

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

COPD is characterised by progressive lung function decline. Leveraging prior work demonstrating bronchial airway COPD-associated gene expression alterations, we sought to determine if there are alterations associated with differences in the rate of FEV 1 decline. Methods We examined gene expression among ever smokers with and without COPD who at baseline had bronchial brushings profiled by Affymetrix microarrays and had longitudinal lung function measurements (n=134; mean follow-up=6.38±2.48 years). Gene expression profiles associated with the rate of FEV 1 decline were identified by linear modelling. Results Expression differences in 171 genes were associated with rate of FEV 1 decline (false discovery rate <0.05). The FEV 1 decline signature was replicated in an independent dataset of bronchial biopsies from patients with COPD (n=46; p=0.018; mean follow-up=6.76±1.32 years). Genes elevated in individuals with more rapid FEV 1 decline are significantly enriched among the genes altered by modulation of XBP1 in two independent datasets (Gene Set Enrichment Analysis (GSEA) p<0.05) and are enriched in mucin-related genes (GSEA p<0.05). Conclusion We have identified and replicated an airway gene expression signature associated with the rate of FEV 1 decline. Aspects of this signature are related to increased expression of XBP1-regulated genes, a transcription factor involved in the unfolded protein response, and genes related to mucin production. Collectively, these data suggest that molecular processes related to the rate of FEV 1 decline can be detected in airway epithelium, identify a possible indicator of FEV 1 decline and make it possible to detect, in an early phase, ever smokers with and without COPD most at risk of rapid FEV 1 decline.

Original languageEnglish
Pages (from-to)31-39
Number of pages9
JournalThorax
Volume77
Issue number1
DOIs
StatePublished - Jan 1 2022

Keywords

  • airway epithelium
  • respiratory measurement

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