Proteomic signatures of eosinophilic and neutrophilic asthma from serum and sputum.

Asthma Eosinophil LASSO Neutrophil Proteomics Serum Sputum

Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
20 Dec 2023
Historique:
received: 24 08 2023
revised: 07 12 2023
accepted: 08 12 2023
medline: 22 12 2023
pubmed: 22 12 2023
entrez: 21 12 2023
Statut: aheadofprint

Résumé

Eosinophilic and neutrophilic asthma defined by high levels of blood and sputum eosinophils and neutrophils exemplifies the inflammatory heterogeneity of asthma, particularly severe asthma. We analysed the serum and sputum proteome to identify biomarkers jointly associated with these different phenotypes. Proteomic profiles (N = 1129 proteins) were assayed in sputum (n = 182) and serum (n = 574) from two cohorts (U-BIOPRED and ADEPT) of mild-moderate and severe asthma by SOMAscan. Using least absolute shrinkage and selection operator (LASSO)-penalised logistic regression in a stability selection framework, we sought sparse sets of proteins associated with either eosinophilic or neutrophilic asthma with and without adjustment for established clinical factors including oral corticosteroid use and forced expiratory volume. We identified 13 serum proteins associated with eosinophilic asthma, including 7 (PAPP-A, TARC/CCL17, ALT/GPT, IgE, CCL28, CO8A1, and IL5-Rα) that were stably selected while adjusting for clinical factors yielding an AUC of 0.84 (95% CI: 0.83-0.84) compared to 0.62 (95% CI: 0.61-0.63) for clinical factors only. Sputum protein analysis selected only PAPP-A (AUC = 0.81 [95% CI: 0.80-0.81]). 12 serum proteins were associated with neutrophilic asthma, of which 5 (MMP-9, EDAR, GIIE/PLA2G2E, IL-1-R4/IL1RL1, and Elafin) complemented clinical factors increasing the AUC from 0.63 (95% CI: 0.58-0.67) for the model with clinical factors only to 0.89 (95% CI: 0.89-0.90). Our model did not select any sputum proteins associated with neutrophilic status. Targeted serum proteomic profiles are a non-invasive and scalable approach for subtyping of neutrophilic and eosinophilic asthma and for future functional understanding of these phenotypes. U-BIOPRED has received funding from the Innovative Medicines Initiative (IMI) Joint Undertaking under grant agreement no. 115010, resources of which are composed of financial contributions from the European Union's Seventh Framework Programme (FP7/2007-2013), and European Federation of Pharmaceutical Industries and Associations (EFPIA) companies' in-kind contributions (www.imi.europa.eu). ADEPT was funded by Johnson & Johnson/Janssen pharmaceutical Company.

Sections du résumé

BACKGROUND BACKGROUND
Eosinophilic and neutrophilic asthma defined by high levels of blood and sputum eosinophils and neutrophils exemplifies the inflammatory heterogeneity of asthma, particularly severe asthma. We analysed the serum and sputum proteome to identify biomarkers jointly associated with these different phenotypes.
METHODS METHODS
Proteomic profiles (N = 1129 proteins) were assayed in sputum (n = 182) and serum (n = 574) from two cohorts (U-BIOPRED and ADEPT) of mild-moderate and severe asthma by SOMAscan. Using least absolute shrinkage and selection operator (LASSO)-penalised logistic regression in a stability selection framework, we sought sparse sets of proteins associated with either eosinophilic or neutrophilic asthma with and without adjustment for established clinical factors including oral corticosteroid use and forced expiratory volume.
FINDINGS RESULTS
We identified 13 serum proteins associated with eosinophilic asthma, including 7 (PAPP-A, TARC/CCL17, ALT/GPT, IgE, CCL28, CO8A1, and IL5-Rα) that were stably selected while adjusting for clinical factors yielding an AUC of 0.84 (95% CI: 0.83-0.84) compared to 0.62 (95% CI: 0.61-0.63) for clinical factors only. Sputum protein analysis selected only PAPP-A (AUC = 0.81 [95% CI: 0.80-0.81]). 12 serum proteins were associated with neutrophilic asthma, of which 5 (MMP-9, EDAR, GIIE/PLA2G2E, IL-1-R4/IL1RL1, and Elafin) complemented clinical factors increasing the AUC from 0.63 (95% CI: 0.58-0.67) for the model with clinical factors only to 0.89 (95% CI: 0.89-0.90). Our model did not select any sputum proteins associated with neutrophilic status.
INTERPRETATION CONCLUSIONS
Targeted serum proteomic profiles are a non-invasive and scalable approach for subtyping of neutrophilic and eosinophilic asthma and for future functional understanding of these phenotypes.
FUNDING BACKGROUND
U-BIOPRED has received funding from the Innovative Medicines Initiative (IMI) Joint Undertaking under grant agreement no. 115010, resources of which are composed of financial contributions from the European Union's Seventh Framework Programme (FP7/2007-2013), and European Federation of Pharmaceutical Industries and Associations (EFPIA) companies' in-kind contributions (www.imi.europa.eu). ADEPT was funded by Johnson & Johnson/Janssen pharmaceutical Company.

Identifiants

pubmed: 38128411
pii: S2352-3964(23)00502-9
doi: 10.1016/j.ebiom.2023.104936
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104936

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests Prof M Chadeau-Hyam holds shares in the O-SMOSE company; consulting activities conducted by the company are independent of the present work. Prof Adcock reports consulting fees from GSK, Sanofi, Chiesi and Kinaset; speaker fees from AZ, Sanofi, Eurodrug and Sunovion; travel support from AZ; grants from GSK, MRC, EPSRC, Sanofi and NIEHS, which were independent of the present work. Dr. Dahlén reports consulting fees from Affiboby, AZ, Cayman Chemicals, GSK and Regeneron, and speaker fees from AZ, GSK and Sanofi, outside the submitted work. Prof Chung has received speaker fees from Novartis, AZ and Merck; honoraria for participating in Advisory Board meetings of GSK, Novartis, Roche, Merck, Trevi, Rickett-Beckinson, Nocion and Shionogi; and has received grants from MRC, EPSRC and GSK. Prof Chung is a member of the Scientific Advisory Board of the Clean Breathing Institute supported by Haleon. Dr Djukanovic declares consulting fees from Synairgen plc and lecture fees from GSK, ZenasBio and Celltrion. He holds shares from Synairgen and is Chair of the European Respiratory Society's Clinical collaboration on severe asthma (SHARP). The other authors have no conflict of interest to disclose.

Auteurs

Khezia Asamoah (K)

MRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom.

Kian Fan Chung (KF)

Data Science Institute, Department of Computing, Imperial College London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom; Royal Brompton and Harefield Hospital, London, United Kingdom.

Nazanin Zounemat Kermani (N)

Data Science Institute, Department of Computing, Imperial College London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.

Barbara Bodinier (B)

MRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom.

Sven-Erik Dahlen (SE)

Institute of Environmental Medicine and Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden; Department of Respiratory Medicine, Karolinska University Hospital, Stockholm, Sweden.

Ratko Djukanovic (R)

Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; National Institute for Health Research Southampton Biomedical Research Centre, Southampton, United Kingdom.

Pankaj K Bhavsar (PK)

National Heart and Lung Institute, Imperial College London, London, United Kingdom.

Ian M Adcock (IM)

Data Science Institute, Department of Computing, Imperial College London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom.

Dragana Vuckovic (D)

MRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom.

Marc Chadeau-Hyam (M)

MRC Centre for Environment and Health & Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, United Kingdom. Electronic address: m.chadeau@imperial.ac.uk.

Classifications MeSH