Protein–Protein interactive networks identified in bronchoalveolar lavage of severe compared to nonsevere asthma

Author:

Hastie Annette T.1ORCID,Bishop Andrew C.1,Khan Mohammad S.1,Bleecker Eugene R.2,Castro Mario3,Denlinger Loren C.4,Erzurum Serpil C.5,Fahy John V.6,Israel Elliot7,Levy Bruce D.7,Mauger David T.8,Meyers Deborah A.2,Moore Wendy C.1,Ortega Victor E.12,Peters Stephen P.1,Wenzel Sally E.9,Steele Chad H.10

Affiliation:

1. Department of Internal Medicine Wake Forest University School of Medicine Winston‐Salem North Carolina USA

2. Department of Internal Medicine Mayo Clinic Scottsdale Arizona USA

3. Department of Pulmonary, Critical Care and Sleep Medicine Kansas University Medical Center Kansas City Kansas USA

4. Department of Medicine University of Wisconsin‐Madison Madison Wisconsin USA

5. Department of Pulmonary Medicine Cleveland Clinic Cleveland Ohio USA

6. Department of Pulmonary and Critical Care Medicine University of California‐San Francisco San Francisco California USA

7. Department of Medicine Brigham and Womens Hospital Boston Massachusetts USA

8. Center for Biostatistics and Epidemiology Penn State School of Medicine Hershey Pennsylvania USA

9. The University of Pittsburgh Asthma Institute University of Pittsburgh Pittsburgh Pennsylvania USA

10. Department of Microbiology and Immunology, School of Medicine Tulane University New Orleans Louisiana USA

Abstract

AbstractIntroductionPrevious bronchoalveolar lavage fluid (BALF) proteomic analysis has evaluated limited numbers of subjects for only a few proteins of interest, which may differ between asthma and normal controls. Our objective was to examine a more comprehensive inflammatory biomarker panel in quantitative proteomic analysis for a large asthma cohort to identify molecular phenotypes distinguishing severe from nonsevere asthma.MethodsBronchoalveolar lavage fluid from 48 severe and 77 nonsevere adult asthma subjects were assessed for 75 inflammatory proteins, normalized to BALF total protein concentration. Validation of BALF differences was sought through equivalent protein analysis of autologous sputum. Subjects' data, stratified by asthma severity, were analysed by standard statistical tests, principal component analysis and 5 machine learning algorithms.ResultsThe severe group had lower lung function and greater health care utilization. Significantly increased BALF proteins for severe asthma compared to nonsevere asthma were fibroblast growth factor 2 (FGF2), TGFα, IL1Ra, IL2, IL4, CCL8, CCL13 and CXCL7 and significantly decreased were platelet‐derived growth factor a‐a dimer (PDGFaa), vascular endothelial growth factor (VEGF), interleukin 5 (IL5), CCL17, CCL22, CXCL9 and CXCL10. Four protein differences were replicated in sputum. FGF2, PDGFaa and CXCL7 were independently identified by 5 machine learning algorithms as the most important variables for discriminating severe and nonsevere asthma. Increased and decreased proteins identified for the severe cluster showed significant protein–protein interactions for chemokine and cytokine signalling, growth factor activity, and eosinophil and neutrophil chemotaxis differing between subjects with severe and nonsevere asthma.ConclusionThese inflammatory protein results confirm altered airway remodelling and cytokine/chemokine activity recruiting leukocytes into the airways of severe compared to nonsevere asthma as important processes even in stable status.

Funder

AstraZeneca

National Heart, Lung, and Blood Institute

Genentech

MedImmune

GlaxoSmithKline

Regeneron Pharmaceuticals

Novartis

Teva Pharmaceutical Industries

Sanofi

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

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