Bronchial gene expression signature associated with rate of subsequent FEV1 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*

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

9 Citaten (Scopus)
151 Downloads (Pure)


BACKGROUND: 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 FEV1 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 FEV1 decline were identified by linear modelling.

RESULTS: Expression differences in 171 genes were associated with rate of FEV1 decline (false discovery rate <0.05). The FEV1 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 FEV1 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 FEV1 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 FEV1 decline can be detected in airway epithelium, identify a possible indicator of FEV1 decline and make it possible to detect, in an early phase, ever smokers with and without COPD most at risk of rapid FEV1 decline.

Originele taal-2English
Pagina's (van-tot)31-39
Aantal pagina's9
StatusPublished - 2022

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