Lipids, Apolipoproteins, and Inflammatory Biomarkers of Cardiovascular Risk: What Have We Learned?

David Rhainds1, Mathieu R Brodeur1, Jean-Claude Tardif1,2

  • 1Montreal Heart Institute, Montreal, Quebec, Canada.

Insights

Understanding cardiovascular disease (CVD) risk involves examining plasma biomarkers. Key indicators include lipids, apolipoproteins, and inflammation markers, aiding in predicting and managing heart health outcomes.

Area of Science:

  • Cardiovascular Medicine
  • Biomarker Discovery
  • Clinical Chemistry

Background:

  • Cardiovascular diseases (CVD) remain the leading global cause of mortality.
  • CVD risk is multifactorial, influenced by nonmodifiable (age, genetics) and modifiable factors.
  • Advances in identifying cardiovascular (CV) risk biomarkers and surrogate endpoints have been significant.

Purpose of the Study:

  • To review the current knowledge of plasma biomarkers for cardiovascular risk.
  • To discuss validated and potential surrogate endpoints for CV outcomes.
  • To highlight emerging omics-based biomarkers and their clinical relevance.

Main Methods:

  • Comprehensive review of existing literature on plasma biomarkers for CVD.
  • Analysis of established biomarkers such as lipids, apolipoproteins, and inflammatory markers.
  • Inclusion of emerging biomarkers including genetic risk scores, protein-based scores, and gut microbiota metabolites.

Main Results:

  • Plasma low-density lipoprotein-cholesterol reduction is a clinically validated surrogate endpoint.
  • Plasma triglyceride reduction is a likely relevant surrogate endpoint for CV outcomes.
  • High-density lipoprotein-cholesterol is a useful CV risk biomarker, though not a validated surrogate endpoint.
  • Key biomarkers of interest include apolipoprotein B, non-HDL-cholesterol, lipoprotein (a), C-reactive protein, and trimethylamine N-oxide (TMAO).

Conclusions:

  • Plasma biomarkers play a crucial role in assessing and managing cardiovascular disease risk.
  • Lipid-based markers and inflammatory markers are well-established, with emerging omics-based markers showing promise.
  • Continued research into novel biomarkers and surrogate endpoints is essential for improving CV outcome prediction and prevention strategies.

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