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Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
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Liquid Biopsies: Microvesicles in Cardiovascular Disease
Lina Badimon1,2, Rosa Suades1,3, Alba Vilella-Figuerola1
1Cardiovascular Program ICCC, Institut de Recerca de l'Hospital Santa Creu i Sant Pau-IIB Sant Pau, Barcelona, Spain.
Antioxidants & Redox Signaling
|November 8, 2019
Summary
Circulating microvesicles (cMV), released by activated cells, reflect vascular injury and predict cardiovascular disease (CVD) outcomes. Further research is needed to standardize cMV analysis for clinical use.
Area of Science:
- Biochemistry
- Cell Biology
- Cardiovascular Medicine
Background:
- Circulating microvesicles (cMV) are phospholipid-rich vesicles released by cells, increasing with activation or injury.
- These vesicles carry molecular cargo that can alter recipient cell phenotypes.
- cMV are increasingly recognized for their potential as biomarkers in cardiovascular diseases (CVD).
Purpose of the Study:
- To review the current state of knowledge on cMV as noninvasive biomarkers for vascular injury and dysfunction in CVD.
- To highlight the potential of cMV subpopulations in predicting CVD outcomes.
- To discuss challenges and future directions for cMV clinical application.
Main Methods:
- Literature review of studies investigating cMV in cardiovascular diseases.
- Analysis of evidence linking cMV phenotypes to vascular injury, dysfunction, and clinical outcomes.
- Discussion of current limitations and future research needs for biomarker development.
Main Results:
- cMV reflect the physiological state of originating cells, serving as indicators of vascular health.
- Specific cMV subpopulations show correlation with CVD severity and poor prognosis.
- Existing evidence supports cMV utility as surrogate biomarkers for CVD.
Conclusions:
- cMV are promising noninvasive biomarkers for vascular injury and CVD prognosis.
- Validation in large cohorts and standardization of detection methods are crucial for clinical translation.
- A multipanel approach using cMV phenotypes could enhance CVD risk stratification and guide precision medicine.

