ArticleClinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology2024
Protein-Protein interactive networks identified in bronchoalveolar lavage of severe compared to nonsevere asthma.
Article in Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026Review
- Effects of T2-high asthma heterogeneity and inhaled corticosteroid on airway and metabolic profiles: A multi-omic approach.Journal of translational internal medicine · 2026Article
- USP18 confers protection against allergic asthma by suppressing CCL8 production in alveolar type II epithelial cells.Respiratory research · 2025Article
- Comparative Immunomodulatory Efficacy of Secukinumab and Honokiol in Experimental Asthma and Acute Lung Injury.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Sex differences in asthma: omics evidence and future directions.Frontiers in genetics · 2025Review
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Authors and funding
17 authors at 10 institutions in 1 country.
Funding
Abstract
introductionPrevious 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.
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