The diagnostic and prognostic potential of plasma extracellular vesicles for cardiovascular disease

Ingrid E M Bank1,2, Leo Timmers2,3,4, Crystel M Gijsberts1,2

  • 1a Laboratory of Experimental Cardiology , University Medical Center Utrecht , Utrecht , the Netherlands.

Insights

Plasma extracellular vesicles (EVs) show promise as blood-based biomarkers for cardiovascular disease (CVD). Improved EV isolation techniques are crucial for their clinical application in diagnosing and predicting CVD.

Area of Science:

  • Biomedical research
  • Cardiovascular science
  • Extracellular vesicle biology

Background:

  • Cardiovascular disease (CVD) is the leading global cause of mortality, with atherosclerosis as its underlying pathology.
  • Acute CVD events like heart attacks and strokes necessitate early diagnosis and treatment.
  • Plasma extracellular vesicles (EVs), involved in hemostasis and inflammation, are increasingly recognized in CVD.

Purpose of the Study:

  • To review the current applications of EVs in cardiovascular disease research.
  • To highlight the potential of plasma EVs as novel blood-based biomarkers for CVD diagnosis and prognosis.
  • To discuss the need for advanced EV isolation technologies for clinical translation.

Main Methods:

  • Review of existing literature on extracellular vesicles and cardiovascular disease.
  • Analysis of the association between EV counts/content and CVD.
  • Discussion of technological requirements for plasma EV isolation and characterization.

Main Results:

  • EV counts and content are linked to cardiovascular disease.
  • Plasma EVs represent a promising source for developing blood-based CVD biomarkers.
  • Current EV isolation methods require further development for clinical utility.

Conclusions:

  • Extracellular vesicles hold significant potential for improving CVD diagnosis and prognosis.
  • Development of robust and user-friendly isolation technologies for plasma EV subsets is essential.
  • Advancing EV isolation techniques will facilitate the clinical application of EVs in patient care.