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Article Dans Une Revue Allergy Année : 2019

Blood eosinophil count and airway epithelial transcriptome relationships in COPD versus asthma

1 University of Leicester
2 GSK - GlaxoSmithKline [Stevenage, UK]
3 CRG - Centre for Genomic Regulation - Centre de Regulació Genòmica [Barcelona]
4 VHIR - Vall d’Hebron Research Institute
5 NHLI - National Heart and Lung Institute [London]
6 Biosci Consulting
7 CNG - Centre National de Génotypage
8 JACOB - Institut de Biologie François JACOB
9 MHH - Medizinische Hochschule Hannover = Hannover Medical School
10 German Center for Lung Research
11 Uniklinik - Universitäts Klinikum Freiburg = University Medical Center Freiburg
12 UniFE - Università degli Studi di Ferrara = University of Ferrara
13 University Hospital Coventry
14 South Warwickshire University NHS Foundation Trust
15 ITLD - Institute of Tuberculosis and Lung Diseases [Warsaw, Poland]
16 OKPI - National Koranyi Institute of TB and Pulmonology
17 Fraunhofer ITEM - Fraunhofer Institute for Toxicology and Experimental Medicine
18 Philipps Universität Marburg = Philipps University of Marburg
19 University of Groningen [Groningen]
20 LUMC - Leiden University Medical Center
21 UMCG - University Medical Center Groningen [Groningen]
22 University of Oxford
23 PITT - University of Pittsburgh
24 Uppsala University
25 NIHR Biomedical Research Centre [London]
26 EISBM - European Institute for Systems Biology and Medicine
27 Karolinska Institute
28 CIBER-SAM - Centro de Investigación Biomédica en Red Salud Mental [Madrid]
29 Asklepios Klinikum Uckermark GmbH
30 HMGU - Helmholtz Zentrum München
31 Amsterdam UMC - Amsterdam University Medical Centers
32 University of Manchester [Manchester]
Scott Wagers
  • Fonction : Auteur
Per Venge
  • Fonction : Auteur
Christopher E Brightling

Résumé

Background Whether the clinical or pathophysiologic significance of the “treatable trait” high blood eosinophil count in COPD is the same as for asthma remains controversial. We sought to determine the relationship between the blood eosinophil count, clinical characteristics and gene expression from bronchial brushings in COPD and asthma. Methods Subjects were recruited into a COPD (emphysema versus airway disease [EvA]) or asthma cohort (Unbiased BIOmarkers in PREDiction of respiratory disease outcomes, U‐BIOPRED). We determined gene expression using RNAseq in EvA (n = 283) and Affymetrix microarrays in U‐BIOPRED (n = 85). We ran linear regression analysis of the bronchial brushings transcriptional signal versus blood eosinophil counts as well as differential expression using a blood eosinophil > 200 cells/μL as a cut‐off. The false discovery rate was controlled at 1% (with continuous values) and 5% (with dichotomized values). Results There were no differences in age, gender, lung function, exercise capacity and quantitative computed tomography between eosinophilic versus noneosinophilic COPD cases. Total serum IgE was increased in eosinophilic asthma and COPD. In EvA, there were 12 genes with a statistically significant positive association with the linear blood eosinophil count, whereas in U‐BIOPRED, 1197 genes showed significant associations (266 positive and 931 negative). The transcriptome showed little overlap between genes and pathways associated with blood eosinophil counts in asthma versus COPD. Only CST1 was common to eosinophilic asthma and COPD and was replicated in independent cohorts. Conclusion Despite shared “treatable traits” between asthma and COPD, the molecular mechanisms underlying these clinical entities are predominately different.
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cea-04419266 , version 1 (26-01-2024)

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Leena George, Adam R Taylor, Anna Esteve‐codina, María Soler Artigas, Gian Andri Thun, et al.. Blood eosinophil count and airway epithelial transcriptome relationships in COPD versus asthma. Allergy, 2019, 75 (2), pp.370-380. ⟨10.1111/all.14016⟩. ⟨cea-04419266⟩
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