Emerging Circulating Biomarkers for Enhanced Cardiovascular Risk Prediction

Da Young Lee1

  • 1Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.

Insights

Cardiovascular disease (CVD) risk assessment needs more than lipids. This review explores novel biomarkers like osteocalcin and microRNAs for better CVD risk prediction and management.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cardiology

Background:

  • Cardiovascular disease (CVD) remains a leading global cause of death.
  • Lipid profiles alone are insufficient for fully assessing atherosclerosis.
  • Identifying novel cardiovascular risk factors and biomarkers is crucial.

Purpose of the Study:

  • To review methodologies for identifying novel CVD risk factors and biomarkers.
  • To discuss promising biomarkers beyond traditional lipid profiles.
  • To highlight the role of inflammation, oxidative stress, and other factors in CVD.

Main Methods:

  • Comprehensive literature review of methodologies for biomarker discovery.
  • Analysis of existing research on inflammation, oxidative stress, plaque instability, cardiac remodeling, and fibrosis in CVD.
  • Identification and discussion of specific novel biomarkers.

Main Results:

  • Several key biological processes (inflammation, oxidative stress, etc.) are central to CVD pathogenesis.
  • Emerging biomarkers include osteocalcin, angiogenin, lipoprotein-associated phospholipase A2, growth differentiation factor 15, galectin-3, growth stimulation expressed gene 2, and microRNAs.
  • These biomarkers show potential for improving CVD risk assessment.

Conclusions:

  • Novel biomarkers offer a more comprehensive approach to cardiovascular risk assessment than traditional methods.
  • Further research into these biomarkers can enhance the management and prediction of CVD.
  • Integrating these biomarkers may lead to personalized cardiovascular medicine.

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