TY - JOUR
T1 - A bronchial gene signature specific for severe COPD that is retained in the nose
AU - van Nijnatten, Jos
AU - Faiz, Alen
AU - Timens, Wim
AU - Guryev, Victor
AU - Slebos, Dirk-Jan
AU - Klooster, Karin
AU - Hartman, Jorine E
AU - Kole, Tessa
AU - Choy, David F
AU - Chakrabarti, Arindam
AU - Grimbaldeston, Michele
AU - Rosenberger, Carrie M
AU - Kerstjens, Huib
AU - Brandsma, Corry-Anke
AU - van den Berge, Maarten
N1 - Copyright ©The authors 2023.
PY - 2023/11
Y1 - 2023/11
N2 - INTRODUCTION: A subset of COPD patients develops advanced disease with severe airflow obstruction, hyperinflation and extensive emphysema. We propose that the pathogenesis in these patients differs from mild-moderate COPD and is reflected by bronchial gene expression. The aim of the present study was to identify a unique bronchial epithelial gene signature for severe COPD patients.METHODS: We obtained RNA sequencing data from bronchial brushes from 123 ex-smokers with severe COPD, 23 with mild-moderate COPD and 23 non-COPD controls. We identified genes specific to severe COPD by comparing severe COPD to non-COPD controls, followed by removing genes that were also differentially expressed between mild-moderate COPD and non-COPD controls. Next, we performed a pathway analysis on these genes and evaluated whether this signature is retained in matched nasal brushings.RESULTS: We identified 219 genes uniquely differentially expressed in severe COPD. Interaction network analysis identified
VEGFA and
FN1 as the key genes with the most interactions. Genes were involved in extracellular matrix regulation, collagen binding and the immune response. Of interest were 10 genes (
VEGFA,
DCN,
SPARC,
COL6A2,
MGP,
CYR61,
ANXA6,
LGALS1,
C1QA and
C1QB) directly connected to fibronectin 1 (
FN1). Most of these genes were lower expressed in severe COPD and showed the same effect in nasal brushings.
CONCLUSIONS: We found a unique severe COPD bronchial gene signature with key roles for
VEGFA and
FN1, which was retained in the upper airways. This supports the hypothesis that severe COPD, at least partly, comprises a different pathology and supports the potential for biomarker development based on nasal brushes in COPD.
AB - INTRODUCTION: A subset of COPD patients develops advanced disease with severe airflow obstruction, hyperinflation and extensive emphysema. We propose that the pathogenesis in these patients differs from mild-moderate COPD and is reflected by bronchial gene expression. The aim of the present study was to identify a unique bronchial epithelial gene signature for severe COPD patients.METHODS: We obtained RNA sequencing data from bronchial brushes from 123 ex-smokers with severe COPD, 23 with mild-moderate COPD and 23 non-COPD controls. We identified genes specific to severe COPD by comparing severe COPD to non-COPD controls, followed by removing genes that were also differentially expressed between mild-moderate COPD and non-COPD controls. Next, we performed a pathway analysis on these genes and evaluated whether this signature is retained in matched nasal brushings.RESULTS: We identified 219 genes uniquely differentially expressed in severe COPD. Interaction network analysis identified
VEGFA and
FN1 as the key genes with the most interactions. Genes were involved in extracellular matrix regulation, collagen binding and the immune response. Of interest were 10 genes (
VEGFA,
DCN,
SPARC,
COL6A2,
MGP,
CYR61,
ANXA6,
LGALS1,
C1QA and
C1QB) directly connected to fibronectin 1 (
FN1). Most of these genes were lower expressed in severe COPD and showed the same effect in nasal brushings.
CONCLUSIONS: We found a unique severe COPD bronchial gene signature with key roles for
VEGFA and
FN1, which was retained in the upper airways. This supports the hypothesis that severe COPD, at least partly, comprises a different pathology and supports the potential for biomarker development based on nasal brushes in COPD.
U2 - 10.1183/23120541.00354-2023
DO - 10.1183/23120541.00354-2023
M3 - Article
C2 - 38020574
SN - 2312-0541
VL - 9
JO - ERJ Open Research
JF - ERJ Open Research
IS - 6
M1 - 00354-2023
ER -