Emerging biomarkers for the detection of cardiovascular diseases

Sreenu Thupakula1, Shiva Shankar Reddy Nimmala1, Haritha Ravula2

  • 1Department of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana, 500007, India.

Insights

Cardiovascular disease (CVD) is a growing public health concern. Identifying novel biomarkers is crucial for early detection and improved diagnosis of CVD, including coronary and cerebrovascular diseases.

Area of Science:

  • Biomedical Science
  • Clinical Research
  • Public Health

Background:

  • Cardiovascular disease (CVD) prevalence is rising globally, posing a significant public health challenge.
  • CVD cases spike annually, particularly impacting lower- and middle-income countries.
  • Early detection of CVD is essential, necessitating the study of novel diagnostic biomarkers.

Purpose of the Study:

  • To review and analyze current trends in cardiovascular disease (CVD) biomarker applications.
  • To discuss the requirements for applying CVD biomarkers in various cardiovascular conditions.
  • To highlight the importance of comprehensive biomarker expression analysis for cardiovascular illness.

Main Methods:

  • Systematic literature review of medical journals, databases, and university library resources.
  • Analysis of specific cardiovascular disease (CVD) markers and biomolecules.
  • Compilation of existing clinical research on risk identification through biomarkers.

Main Results:

  • A limited number of biomarkers have demonstrated reliability and utility in clinical practice.
  • Biomarkers are valuable for predicting heart disease risk, diagnosis, and outcomes.
  • The potential for single-molecule biomarkers in medicine is expected to significantly increase.

Conclusions:

  • Current trends support the application of CVD biomarkers across diverse cardiovascular conditions like coronary heart disease and cerebrovascular disease.
  • Establishing comprehensive biomarker expression is key for effective cardiovascular illness management.
  • Further research into CVD biomarkers is vital for advancing diagnostic and prognostic capabilities.
Abstract

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