Novel biomarkers for cardiovascular risk

Raffaele Serra1,2, Nicola Ielapi1, Andrea Barbetta1

  • 1Interuniversity Center of Phlebolymphology (CIFL). International Research & Educational Program in Clinical & Experimental Biotechnology' at the Department of Surgical & Medical Sciences University Magna Graecia of Catanzaro, Viale Europa 88100 Catanzaro, Italy.

Biomarkers in Medicine
|August 22, 2018
PubMed

Insights

Novel biomarkers from omics, imaging, and clinical data can improve cardiovascular risk assessment and management. This research explores new tools to better understand and predict heart and blood vessel diseases.

Area of Science:

  • Biomedical research
  • Cardiovascular medicine
  • Biomarker discovery

Background:

  • Cardiovascular diseases (CVD) are a leading cause of global morbidity and mortality.
  • Accurate assessment of cardiovascular risk is crucial for effective prevention and management.
  • Existing risk prediction models can be enhanced with novel biomarkers.

Purpose of the Study:

  • To review the latest advancements in novel biomarkers for cardiovascular risk.
  • To explore the utility of omics, imaging, and clinical data in cardiovascular risk assessment.
  • To provide insights for improving the knowledge and management of cardiovascular risk.

Main Methods:

  • Comprehensive literature review of recent studies on cardiovascular biomarkers.
  • Analysis of emerging biomarkers from omics technologies (genomics, proteomics, metabolomics).
  • Evaluation of advanced imaging techniques and clinical data integration for risk prediction.

Main Results:

  • Identification of promising novel biomarkers across omics, imaging, and clinical data domains.
  • Demonstration of the potential of these biomarkers to refine cardiovascular risk stratification.
  • Highlighting the synergistic potential of integrating multi-modal data for enhanced prediction.

Conclusions:

  • Novel biomarkers offer significant potential to improve cardiovascular risk prediction and patient outcomes.
  • Integration of omics, imaging, and clinical data is key to advancing cardiovascular risk management.
  • Further research and validation are needed to translate these biomarkers into clinical practice.

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