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Updated: Feb 13, 2026

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Proteomic signature of circulating extracellular vesicles in dilated cardiomyopathy
Santiago Roura1,2,3, Ana Gámez-Valero4,5, Josep Lupón3,6,7
1Heart Failure and Cardiac Regeneration (ICREC) Research Program, Health Science Research Institute Germans Trias i Pujol (IGTP), Badalona, Spain.
Insights
Researchers identified a unique proteomic signature in extracellular vesicles (EVs) from dilated cardiomyopathy (DCM) patients. This discovery using size-exclusion chromatography (SEC) and mass spectrometry may improve disease characterization and prognosis for heart failure patients.
Area of Science:
- Cardiovascular Biology
- Proteomics
- Biomarker Discovery
Background:
- Dilated cardiomyopathy (DCM) is a significant cause of heart failure with a poor prognosis.
- Novel molecular techniques are crucial for refining DCM progression and characterization.
Purpose of the Study:
- To explore the distinct proteomic signature of plasma-derived extracellular vesicles (EVs) in DCM patients compared to healthy controls.
- To validate size-exclusion chromatography (SEC) for purifying EVs from peripheral blood for proteomic analysis.
Main Methods:
- Plasma-derived extracellular vesicles (EVs) were isolated from DCM patients and healthy controls using SEC.
- EV-enriched fractions were analyzed by liquid chromatography-mass spectrometry (LC-MS/MS).
- Proteomic data were analyzed using MaxQuant and Perseus software for protein identification and quantification.
Main Results:
- A total of 227 proteins were identified in DCM EVs and 183 in control EVs, with 51 proteins exclusive to DCM.
- Proteins such as fibrinogen, serotransferrin, α-1-antitrypsin, and apolipoproteins were significantly enriched in DCM-EVs.
- Gene Ontology analysis revealed enrichment of stress response and protein activation pathways in DCM-EVs.
Conclusions:
- Circulating EVs from DCM patients exhibit a distinct proteomic signature compared to controls.
- SEC is an effective method for obtaining highly purified EV fractions from blood for disease-specific proteomic analysis.
- These findings may contribute to improved DCM characterization and biomarker development.
Abstract:
Dilated cardiomyopathy (DCM) remains a major cause of heart failure and carries a poor prognosis despite important advances in recent years. Better disease characterization using novel molecular techniques is needed to refine its progression. This study explored the proteomic signature of plasma-derived extracellular vesicles (EVs) obtained from DCM patients and healthy controls using size-exclusion chromatography (SEC). EV-enriched fractions were analyzed by liquid chromatography-mass spectrometry (LC-MS/MS). Raw data obtained from LC-MS/MS were analyzed against the Uniprot human database using MaxQuant software. Additional analyses using Perseus software were based on the Intensity-Based Absolute Quantification (iBAQ) values from MaxQuant analyses. A total of 90.07 ± 21 proteins (227 different proteins) in the DCM group and 96.52 ± 17.91 proteins (183 different proteins) in the control group were identified. A total of 176 proteins (74.6%) were shared by controls and DCM patients, whereas 51 proteins were exclusive for the DCM group and 7 proteins were exclusive for the control group. Fibrinogen (α, β and γ chain), serotransferrin, α-1-antitrypsin, and a variety of apolipoprotein family members (C-I, C-III, D, H or β-2-glycoprotein, and J or clusterin) were clustered in SEC-EVs derived from DCM patients relative to controls (p < 0.05). Regarding Gene Ontology analysis, response to stress and protein activation-related proteins were enriched in DCM-EVs compared with controls. Thus, the present study reports the distinct proteomic signature of circulating DCM-EVs compared with control-EVs. Furthermore, we confirm that SEC obtains highly purified EV fractions from peripheral blood samples for subsequent use in determining disease-specific proteomic signatures.
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