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Biomarkers in primary prevention : Meaningful diagnosis based on biomarker scores?
Christian Schulte1,2, Tanja Zeller3,4
1Klinik für Kardiologie, Universitäres Herz- und Gefäßzentrum Hamburg, Martinistraße 52, 20246, Hamburg, Germany.
Insights
Cardiovascular risk assessment uses traditional factors. New biomarkers like cardiac troponins and genomic variations offer improved, personalized cardiovascular disease (CVD) risk stratification for primary prevention.
Area of Science:
- Biomedical science
- Cardiology
- Preventive medicine
Background:
- Cardiovascular (CV) risk assessment traditionally relies on established factors like smoking, diabetes, and hypertension.
- Current risk scores guide clinical decisions for predicting CV pathologies and events.
- Emerging biomarkers are being explored for enhanced risk stratification beyond acute diagnostics.
Purpose of the Study:
- To review current knowledge on biomarkers for primary prevention of cardiovascular disease (CVD).
- To present alternative biomarker-based strategies for CV risk assessment.
- To explore the future potential of genomic variation and non-coding RNAs in personalized CVD risk stratification.
Main Methods:
- Literature review of current research on CV biomarkers.
- Analysis of traditional CV risk factors and their limitations.
- Exploration of novel biomarkers including cardiac troponins, genomic variations, and non-coding RNAs.
Main Results:
- Cardiac troponins show promise as markers for risk stratification in the general population.
- Genomic variation and circulating non-coding RNAs represent potential future tools for CVD risk assessment.
- Biomarker integration may lead to more personalized CV risk stratification.
Conclusions:
- Biomarkers offer a promising avenue to enhance traditional CV risk assessment.
- Novel biomarkers and genetic factors can refine personalized risk stratification for CVD prevention.
- Further research into these markers is crucial for advancing primary prevention strategies.
Abstract:
Cardiovascular (CV) risk assessment is based on the utilization of risk scores, enabling clinicians to estimate an individual's risk to develop CV pathologies and events. Such risk scores comprise classic CV risk factors such as smoking, diabetes, hypertension, and blood cholesterol levels. Recently, other CV biomarkers such as cardiac troponins have been suggested and evaluated as alternative biomarkers not only in the acute diagnostic setting of myocardial infarction, but also as markers for risk stratification in the general population. In this review, we summarize the current knowledge on biomarkers in the field of primary prevention in cardiovascular disease (CVD). Furthermore, we present potential alternative biomarker-based strategies for CV risk assessment. In this respect we provide an outlook on the potential use of genomic variation as well as circulating non-coding RNAs to complement current risk assessment strategies so as to further personalize risk stratification in CVD.
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