Markers of Atherosclerosis: Part 1 - Serological Markers

Miha Tibaut1, Martin Caprnda2, Peter Kubatka3

  • 1General Hospital Murska Sobota, Murska Sobota, Slovenia.

Heart, Lung & Circulation
|November 24, 2018
PubMed

Insights

Novel serum biomarkers, including high-sensitivity C-reactive protein (hsCRP), show promise for re-stratifying cardiovascular event risk, especially in intermediate-risk individuals. Combining biomarkers may offer superior risk prediction compared to single markers alone.

Area of Science:

  • Cardiology
  • Biochemistry
  • Preventive Medicine

Background:

  • Atherosclerosis is a leading cause of global morbidity and mortality.
  • Current cardiovascular (CV) risk scores aid in stratifying patients, but management for intermediate-risk individuals remains uncertain.
  • Novel biomarkers are needed to improve risk stratification for intermediate-risk populations.

Purpose of the Study:

  • To review current knowledge on serum biomarkers for atherosclerosis risk prediction.
  • To evaluate the potential of novel biomarkers, such as hsCRP, in refining CV risk assessment.
  • To explore the utility of combined serum biomarkers for enhanced risk stratification.

Main Methods:

  • This is a narrative review, presented in two parts.
  • Part 1 focuses on summarizing existing research on serum (serological) biomarkers of atherosclerosis.
  • Literature search and synthesis of data on biomarker performance in CV risk prediction.

Main Results:

  • High-sensitivity C-reactive protein (hsCRP) is identified as a promising biomarker for chronic conditions.
  • Other novel biomarkers require further clinical validation.
  • A combination of serum biomarkers appears more effective for risk stratification than individual markers.

Conclusions:

  • Serum biomarkers, particularly hsCRP, hold potential for improving cardiovascular risk assessment.
  • Combining multiple serum biomarkers may provide a more accurate stratification of CV event risk.
  • Further research is warranted to validate novel biomarkers and optimize their use in clinical practice.

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