Translational biomarkers for integrated cardiovascular disease risk assessment: A multidisciplinary review with

Francesco Visioli1, Diego Martínez Urbistondo2, Sokratis Gkipalis3

  • 1Department of Molecular Medicine, University of Padova, 35121, Padova, Italy.

Insights

Cardiovascular disease (CVD) risk assessment is enhanced by integrating traditional and emerging factors. Precision medicine and nutrition offer personalized interventions for better CVD management and outcomes.

Area of Science:

  • Cardiovascular disease research
  • Biochemistry and molecular biology
  • Personalized medicine and nutrition

Background:

  • Cardiovascular disease (CVD) remains a primary cause of illness and death globally.
  • Effective CVD management requires accurate risk stratification and individualized interventions.
  • Traditional risk factors and emerging biomarkers are crucial for understanding CVD development.

Purpose of the Study:

  • To review traditional and emerging risk factors for cardiovascular disease (CVD).
  • To highlight the role of these factors in personalized medicine and precision nutrition.
  • To emphasize their application in accurate risk diagnosis and individualized CVD interventions.

Main Methods:

  • Review of biochemical markers (lipids, inflammation, endocrine, homeostatic signals).
  • Inclusion of lifestyle factors (diet, activity, smoking, alcohol).
  • Consideration of anthropometric variables, body composition, and omics data (genomic, proteomic, metabolomic).

Main Results:

  • Biochemical markers, lifestyle, and anthropometric data are key in CVD assessment.
  • Omics data provide deep insights into CVD molecular mechanisms.
  • Existing risk scores (Framingham, SCORE) offer global frameworks, while omics and novel determinants offer deeper precision.

Conclusions:

  • Integrating diverse risk factors is essential for advancing precision medicine in CVD.
  • A comprehensive approach is needed for effective CVD management.
  • Precision nutrition and medicine strategies are vital for improving CVD outcomes.
Abstract

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