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Stratification of asthma phenotypes by airway proteomic signatures

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Title: Stratification of asthma phenotypes by airway proteomic signatures
Authors: Schofield, JPR
Burg, D
Nicholas, B
Strazzeri, F
Brandsma, J
Staykova, D
Folisi, C
Bansal, AT
Xian, Y
Guo, Y
Rowe, A
Corfield, J
Wilson, S
Ward, J
Lutter, R
Shaw, DE
Bakke, PS
Caruso, M
Dahlen, S-E
Fowler, SJ
Horváth, I
Howarth, P
Krug, N
Montuschi, P
Sanak, M
Sandström, T
Sun, K
Pandis, I
Riley, J
Auffray, C
De Meulder, B
Lefaudeux, D
Sousa, AR
Adcock, IM
Chung, KF
Sterk, PJ
Skipp, PJ
Djukanović, R
U-BIOPRED Study Group
Item Type: Journal Article
Abstract: BACKGROUND: Stratification by eosinophil and neutrophil counts increases our understanding of asthma and helps target therapy, but there is room for improvement in our accuracy to predict treatment responses and a need for better understanding of the underlying mechanisms. OBJECTIVE: Identify molecular sub-phenotypes of asthma defined by proteomic signatures for improved stratification. METHODS: Unbiased label-free quantitative mass spectrometry and topological data analysis were used to analyse the proteomes of sputum supernatants from 246 participants (206 asthmatics) as a novel means of asthma stratification. Microarray analysis of sputum cells provided transcriptomics data additionally to inform on underlying mechanisms. RESULTS: Analysis of the sputum proteome resulted in 10 clusters, proteotypes, based on similarity in proteomics features, representing discrete molecular sub-phenotypes of asthma. Overlaying granulocyte counts onto the 10 clusters as metadata further defined three of these as highly eosinophilic, three as highly neutrophilic, and two as highly atopic with relatively low granulocytic inflammation. For each of these three phenotypes, logistic regression analysis identified candidate protein biomarkers, and matched transcriptomic data pointed to differentially activated underlying mechanisms. CONCLUSION: This study provides further stratification of asthma currently classified by quantifying granulocytic inflammation and gives additional insight into their underlying mechanisms which could become targets for novel therapies.
Issue Date: Jul-2019
Date of Acceptance: 8-Mar-2019
URI: http://hdl.handle.net/10044/1/69041
DOI: 10.1016/j.jaci.2019.03.013
ISSN: 0091-6749
Publisher: Elsevier
Start Page: 70
End Page: 82
Journal / Book Title: Journal of Allergy and Clinical Immunology
Volume: 144
Issue: 1
Copyright Statement: © 2019 Published by Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 115010
Keywords: Science & Technology
Life Sciences & Biomedicine
Allergy
Immunology
Asthma
proteomics
biomarkers
eosinophils
neutrophils
EXACERBATIONS
DEGRADATION
CD44
Asthma
biomarkers
eosinophils
neutrophils
proteomics
U-BIOPRED Study Group
asthma
biomarkers
eosinophils
neutrophils
proteomics
1107 Immunology
Allergy
Publication Status: Published
Conference Place: United States
Online Publication Date: 2019-03-28
Appears in Collections:Computing
National Heart and Lung Institute
Faculty of Engineering