Lipid assessment, metabolic syndrome and coronary heart disease risk

Benoit J Arsenault1, Jean-Pierre Després, Erik S G Stroes

  • 1Department of Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands.

Insights

Lipoprotein ratios like total to high-density lipoprotein cholesterol (TC/HDL-C) and apolipoprotein B/apolipoprotein A-I (apoB/apoA-I) effectively predict coronary heart disease (CHD) risk. These ratios also correlate with metabolic syndrome components in European populations.

Area of Science:

  • Cardiovascular Disease Research
  • Lipid Metabolism Studies
  • Biomarker Discovery

Background:

  • The total to high-density lipoprotein cholesterol ratio (TC/HDL-C) is a long-standing marker for coronary heart disease (CHD) risk.
  • Apolipoprotein B/apolipoprotein A-I (apoB/apoA-I) and NMR-based lipoprotein ratios (LDL(NMR)/HDL(NMR)) offer potential alternative or complementary CHD risk stratification tools.

Purpose of the Study:

  • To evaluate the association of TC/HDL-C, apoB/apoA-I, and LDL(NMR)/HDL(NMR) ratios with CHD risk.
  • To investigate the relationship between these lipoprotein ratios and components of the metabolic syndrome.

Main Methods:

  • A case-control study within the EPIC-Norfolk population.
  • Matched 870 CHD cases with 1659 controls based on gender, age, and enrollment time.
  • Measured LDL(NMR) and HDL(NMR) using proton NMR spectroscopy.

Main Results:

  • After adjusting for traditional risk factors, higher quintiles of TC/HDL-C, apoB/apoA-I, and LDL(NMR)/HDL(NMR) ratios were associated with increased CHD risk in both men and women.
  • Participants with five metabolic syndrome components showed significantly higher ratios compared to those with one component.
  • Similar odds ratios for CHD risk were observed across the three lipoprotein ratios in both genders.

Conclusions:

  • TC/HDL-C, apoB/apoA-I, and LDL(NMR)/HDL(NMR) ratios demonstrate similar associations with metabolic syndrome and CHD risk in this European population.
  • These lipoprotein ratios may serve as valuable tools for CHD risk stratification and understanding metabolic health.
Abstract

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