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Plasma proteins elevated in severe asthma despite oral steroid use and unrelated to Type-2 inflammation.

AbstractRATIONALE:
Asthma phenotyping requires novel biomarker discovery.
OBJECTIVES:
To identify plasma biomarkers associated with asthma phenotypes by application of a new proteomic panel to samples from two well-characterised cohorts of severe (SA) and mild-to-moderate (MMA) asthmatics, COPD subjects and healthy controls (HCs).
METHODS:
An antibody-based array targeting 177 proteins predominantly involved in pathways relevant to inflammation, lipid metabolism, signal transduction and extracellular matrix was applied to plasma from 525 asthmatics and HCs in the U-BIOPRED cohort, and 142 subjects with asthma and COPD from the validation cohort BIOAIR. Effects of oral corticosteroids (OCS) were determined by a 2-week, placebo-controlled OCS trial in BIOAIR, and confirmed by relation to objective OCS measures in U-BIOPRED.
RESULTS:
In U-BIOPRED, 110 proteins were significantly different, mostly elevated, in SA compared to MMA and HCs. 10 proteins were elevated in SA versus MMA in both U-BIOPRED and BIOAIR (alpha-1-antichymotrypsin, apolipoprotein-E, complement component 9, complement factor I, macrophage inflammatory protein-3, interleukin-6, sphingomyelin phosphodiesterase 3, TNF receptor superfamily member 11a, transforming growth factor-β and glutathione S-transferase). OCS treatment decreased most proteins, yet differences between SA and MMA remained following correction for OCS use. Consensus clustering of U-BIOPRED protein data yielded six clusters associated with asthma control, quality of life, blood neutrophils, high-sensitivity C-reactive protein and body mass index, but not Type-2 inflammatory biomarkers. The mast cell specific enzyme carboxypeptidase A3 was one major contributor to cluster differentiation.
CONCLUSIONS:
The plasma proteomic panel revealed previously unexplored yet potentially useful Type-2-independent biomarkers and validated several proteins with established involvement in the pathophysiology of SA.
AuthorsMaria Sparreman Mikus, Johan Kolmert, Lars I Andersson, Jörgen Östling, Richard G Knowles, Cristina Gómez, Magnus Ericsson, John-Olof Thörngren, Payam Emami Khoonsari, Barbro Dahlén, Maciej Kupczyk, Bertrand De Meulder, Charles Auffray, Per S Bakke, Bianca Beghe, Elisabeth H Bel, Massimo Caruso, Pascal Chanez, Bo Chawes, Stephen J Fowler, Mina Gaga, Thomas Geiser, Mark Gjomarkaj, Ildikó Horváth, Peter H Howarth, Sebastian L Johnston, Guy Joos, Norbert Krug, Paolo Montuschi, Jacek Musial, Ewa Niżankowska-Mogilnicka, Henric K Olsson, Alberto Papi, Klaus F Rabe, Thomas Sandström, Dominick E Shaw, Nikolaos M Siafakas, Mathias Uhlén, John H Riley, Stewart Bates, Roelinde J M Middelveld, Craig E Wheelock, Kian Fan Chung, Ian M Adcock, Peter J Sterk, Ratko Djukanovic, Peter Nilsson, Sven-Erik Dahlén, Anna James, U-BIOPRED (Unbiased Biomarkers for the Prediction of Respiratory Disease outcome) Study Group and the BIOAIR (Longitudinal Assessment of Clinical Course and Biomarkers in Severe Chronic Airway Disease) Consortium
JournalThe European respiratory journal (Eur Respir J) Vol. 59 Issue 2 (02 2022) ISSN: 1399-3003 [Electronic] England
PMID34737220 (Publication Type: Controlled Clinical Trial, Journal Article, Research Support, Non-U.S. Gov't)
CopyrightCopyright ©The authors 2022.
Chemical References
  • Blood Proteins
  • Steroids
Topics
  • Asthma
  • Blood Proteins
  • Humans
  • Inflammation (metabolism)
  • Proteomics
  • Quality of Life
  • Severity of Illness Index
  • Steroids (therapeutic use)

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