Innovative Approaches to Assess Intermediate Cardiovascular Risk Subjects: A Review From Clinical to Metabolomics

Aline M A Martins1,2,3, Mariana U B Paiva2, Diego V N Paiva2

  • 1Centre of Metabolomics and Bioanalysis (CEMBIO), San Pablo CEU University, Madrid, Spain.

Insights

Metabolomics screening offers a powerful new approach to improve coronary artery disease (CAD) risk stratification in intermediate-risk individuals. This method enhances non-invasive diagnostics, potentially preventing inadequate preventive therapies for cardiovascular events.

Area of Science:

  • Cardiovascular Medicine
  • Metabolomics
  • Biomarker Discovery

Background:

  • Current coronary artery disease (CAD) risk stratification has limited predictive value in asymptomatic, intermediate-risk individuals.
  • Atherosclerotic plaques can be silent, leading to sudden cardiac death or acute coronary syndrome as initial manifestations.
  • Inaccurate risk assessment can result in suboptimal preventive therapies.

Purpose of the Study:

  • To review the role of metabolomics integrated with traditional assessments for improved non-invasive CAD subclinical diagnostics.
  • To critically evaluate the findings from mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR) in metabolomics studies.
  • To discuss the challenges and potential for clinical implementation of metabolomics in cardiovascular risk stratification.

Main Methods:

  • Review of current literature on metabolomics applications in cardiovascular disease.
  • Analysis of findings from studies utilizing mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR).
  • Discussion of the pathophysiology of atherosclerosis and limitations of traditional risk assessment methods.

Main Results:

  • Metabolomics screening, combined with traditional risk factors, shows promise for enhancing non-invasive CAD diagnostics.
  • Discriminant metabolites identified through metabolomics can aid in stratifying intermediate-risk patients.
  • Analytical platforms like MS and NMR are key to current metabolomics research in this field.

Conclusions:

  • Metabolomics represents a powerful approach to improve cardiovascular risk stratification, particularly for intermediate-risk individuals.
  • Identified metabolic biomarkers hold potential for clinical translation, aiding in more precise patient management.
  • Addressing challenges in data implementation is crucial for integrating metabolomics into clinical practice.

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