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June 2, 2025Journal of Cardiovascular Translational Research8 citationsOpen Access

Extracellular Vesicles as Diagnostic Metrics for Cardiovascular Disease: Where We are and How to Achieve in Clinics

YWYujia WangYYYingxue YuanJTJunnan Tang

Key Result

Extracellular vesicles show significant potential as stable, accessible biomarkers for the early diagnosis of cardiovascular diseases, though clinical translation requires improved isolation methods.

Structured PICO

E
Exposure
Extracellular vesicles (EVs) as diagnostic metrics

Extracellular vesicles hold promise as stable and accessible biomarkers for the early diagnosis of cardiovascular disease, though clinical application challenges remain.

Limitations

  • Sample sources are mostly limited to plasma
  • Traditional EV isolation methods are inefficient
  • Diagnostic efficacy of current EV biomarkers is not yet high enough for clinical use
  • Lack of large-scale, multicenter clinical studies targeting EVs

Abstract

As one of the leading causes of death globally, early diagnosis and prevention of cardiovascular disease have become the focus of clinical and public health. Extracellular vesicles (EVs) are small, double-layered membrane structures actively secreted by cells and are widely present in body fluids such as blood, urine, and saliva. They carry various bioactive molecules, including proteins and nucleic acids, and are known for their remarkable stability and easy accessibility, making them promising candidates for identifying cardiovascular disease. This review summarizes the applications of EVs in the early diagnosis of cardiovascular disease, explores the potential biomarkers of proteins and RNAs (such as miRNA, lncRNA, and circRNA) contained within EVs, and discusses the prospects and challenges of EV biomarkers in clinical applications.

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Cite This Study

Wang et al. (2025) conducted a review in Cardiovascular disease. Extracellular vesicles (EVs) as diagnostic biomarkers was evaluated. Extracellular vesicles show significant potential as stable, accessible biomarkers for the early diagnosis of cardiovascular diseases, though clinical translation requires improved isolation methods.

synapsesocial.com/papers/6a6c501b547974b2dbf48cbdhttps://doi.org/10.1007/s12265-025-10629-8
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