» Articles » PMID: 33778046

Proteomics of Serum Extracellular Vesicles Identifies a Novel COPD Biomarker, Fibulin-3 from Elastic Fibres

Abstract

There is an unmet need for novel biomarkers in the diagnosis of multifactorial COPD. We applied next-generation proteomics to serum extracellular vesicles (EVs) to discover novel COPD biomarkers. EVs from 10 patients with COPD and six healthy controls were analysed by tandem mass tag-based non-targeted proteomics, and those from elastase-treated mouse models of emphysema were also analysed by non-targeted proteomics. For validation, EVs from 23 patients with COPD and 20 healthy controls were validated by targeted proteomics. Using non-targeted proteomics, we identified 406 proteins, 34 of which were significantly upregulated in patients with COPD. Of note, the EV protein signature from patients with COPD reflected inflammation and remodelling. We also identified 63 upregulated candidates from 1956 proteins by analysing EVs isolated from mouse models. Combining human and mouse biomarker candidates, we validated 45 proteins by targeted proteomics, selected reaction monitoring. Notably, levels of fibulin-3, tripeptidyl-peptidase 2, fibulin-1, and soluble scavenger receptor cysteine-rich domain-containing protein were significantly higher in patients with COPD. Moreover, six proteins; fibulin-3, tripeptidyl-peptidase 2, UTP-glucose-1-phosphate uridylyl transferase, CD81, CD177, and oncoprotein-induced transcript 3, were correlated with emphysema. Upregulation of fibulin-3 was confirmed by immunoblotting of EVs and immunohistochemistry in lungs. Strikingly, knockout mice spontaneously developed emphysema with age, as evidenced by alveolar enlargement and elastin destruction. We discovered potential pathogenic biomarkers for COPD using next-generation proteomics of EVs. This is a novel strategy for biomarker discovery and precision medicine.

Citing Articles

Potential asthma biomarkers identified by nontargeted proteomics of extracellular vesicles in exhaled breath condensate.

Hara R, Takeda Y, Enomoto T, Yoshimura H, Yamamoto M, Tanizaki S J Allergy Clin Immunol Glob. 2025; 4(2):100432.

PMID: 40046156 PMC: 11880581. DOI: 10.1016/j.jacig.2025.100432.


Signature Proteins in Small Extracellular Vesicles of Granulocytes and CD4 T-Cell Subpopulations Identified by Comparative Proteomic Analysis.

Vazquez-Mera S, Miguens-Suarez P, Martelo-Vidal L, Rivas-Lopez S, Uller L, Bravo S Int J Mol Sci. 2024; 25(19).

PMID: 39409176 PMC: 11476868. DOI: 10.3390/ijms251910848.


Proteomics of blood extracellular vesicles in inflammatory respiratory diseases for biomarker discovery and new insights into pathophysiology.

Kawasaki T, Takeda Y, Kumanogoh A Inflamm Regen. 2024; 44(1):38.

PMID: 39294831 PMC: 11409490. DOI: 10.1186/s41232-024-00351-4.


Proteomic Blood Profiles Obtained by Totally Blind Biological Clustering in Stable and Exacerbated COPD Patients.

Enriquez-Rodriguez C, Pascual-Guardia S, Casadevall C, Caguana-Velez O, Rodriguez-Chiaradia D, Barreiro E Cells. 2024; 13(10.

PMID: 38786086 PMC: 11119172. DOI: 10.3390/cells13100866.


The role of extracellular vesicles in COPD and potential clinical value.

Liu S, Tan X, Liu S Respir Res. 2024; 25(1):84.

PMID: 38331841 PMC: 10854156. DOI: 10.1186/s12931-024-02719-z.


References
1.
McLaughlin P, Bakall B, Choi J, Liu Z, Sasaki T, Davis E . Lack of fibulin-3 causes early aging and herniation, but not macular degeneration in mice. Hum Mol Genet. 2007; 16(24):3059-70. DOI: 10.1093/hmg/ddm264. View

2.
Agusti A . The path to personalised medicine in COPD. Thorax. 2014; 69(9):857-64. DOI: 10.1136/thoraxjnl-2014-205507. View

3.
Conickx G, Mestdagh P, Avila Cobos F, Verhamme F, Maes T, Vanaudenaerde B . MicroRNA Profiling Reveals a Role for MicroRNA-218-5p in the Pathogenesis of Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med. 2016; 195(1):43-56. DOI: 10.1164/rccm.201506-1182OC. View

4.
Tetsumoto S, Takeda Y, Imai H, Kimura A, Jin Y, Nakanishi K . Validation of noninvasive morphological and diffusion imaging in mouse emphysema by micro-computed tomography and hyperpolarized (129)Xe magnetic resonance imaging. Am J Respir Cell Mol Biol. 2013; 49(4):592-600. DOI: 10.1165/rcmb.2012-0350OC. View

5.
Liu Z, Li W, Lv J, Xie R, Huang H, Li Y . Identification of potential COPD genes based on multi-omics data at the functional level. Mol Biosyst. 2015; 12(1):191-204. DOI: 10.1039/c5mb00577a. View