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A Sputum 6 Gene Expression Signature Predicts Inflammatory Phenotypes and Future Exacerbations of COPD

Authors :
Juan-Juan Fu
Netsanet A. Negewo
Vanessa M. McDonald
Peter G. Gibson
Peter A. B. Wark
Jodie L. Simpson
Michael Fricker
Katherine J. Baines
Source :
International Journal of Chronic Obstructive Pulmonary Disease. 15:1577-1590
Publication Year :
2020
Publisher :
Informa UK Limited, 2020.

Abstract

Background The 6 gene expression signature (6GS) predicts inflammatory phenotype, exacerbation risk, and corticosteroid responsiveness in asthma. In COPD, patterns of airway inflammation are similar, suggesting the 6GS may be useful. This study determines the diagnostic and prognostic ability of 6GS in predicting inflammatory phenotypes and exacerbation risk in COPD. Methods We performed 2 studies: a cross-sectional phenotype prediction study in stable COPD (total N=132; n=34 eosinophilic (E)-COPD, n=42 neutrophilic (N)-COPD, n=39 paucigranulocytic (PG)-COPD, n=17 mixed-granulocytic (MG)-COPD) that assessed 6GS ability to discriminate phenotypes (eosinophilia≥3%; neutrophilia≥61%); and a prospective cohort study (total n=54, n=8 E-COPD; n=18 N-COPD; n=20 PG-COPD; n=8 MG-COPD, n=21 exacerbation prone (≥2/year)) that investigated phenotype and exacerbation prediction utility. 6GS was measured by qPCR and evaluated using multiple logistic regression and area under the curve (AUC). Short-term reproducibility (intra-class correlation) and phenotyping method agreement (κ statistic) were assessed. Results In the phenotype prediction study, 6GS could accurately identify and discriminate patients with E-COPD from N-COPD (AUC=96.4%; p

Details

ISSN :
11782005
Volume :
15
Database :
OpenAIRE
Journal :
International Journal of Chronic Obstructive Pulmonary Disease
Accession number :
edsair.doi...........6b52d9d606560089cb1639fe06dddf3d
Full Text :
https://doi.org/10.2147/copd.s245519