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HDL Subclass Analysis in Predicting Metabolic Syndrome in Koreans With High HDL Cholesterol Levels

Hyun Suk Yang1, Mina Hur2, Hanah Kim3

  • 1Department of Cardiovascular Medicine, Konkuk University School of Medicine, Seoul, Korea.

Annals of Laboratory Medicine
|February 19, 2020
PubMed

Insights

High-density lipoprotein cholesterol (HDL-C) subclasses, specifically HDL3-C, are better predictors of cardiovascular risk and metabolic syndrome (MetS) than total HDL-C levels in individuals with high HDL-C. This finding highlights the importance of analyzing HDL-C subclasses for a more accurate risk assessment.

Area of Science:

  • Cardiovascular Medicine
  • Lipid Metabolism
  • Metabolic Syndrome Research

Background:

  • High-density lipoprotein cholesterol (HDL-C) comprises various subclasses with differing effects on cardiovascular health.
  • Understanding the role of HDL-C subclasses in relation to cardiovascular risk and metabolic syndrome (MetS) is crucial, especially in populations with elevated HDL-C.

Purpose of the Study:

  • To investigate the association between HDL-C subclasses (HDL3-C and non-HDL3-C) and cardiovascular risk factors.
  • To determine the predictive value of HDL-C subclasses for metabolic syndrome (MetS) in Korean individuals with high HDL-C levels.

Main Methods:

  • Analysis of 300 Korean individuals with high HDL-C (≥2.331 mmol/L).
  • Measurement of HDL3-C levels using a specific assay and calculation of non-HDL3-C levels.
  • Correlation and regression analyses to assess relationships with lipid parameters and MetS.

Main Results:

  • HDL3-C levels and proportion showed a weak positive correlation with LDL-C and triglycerides, while non-HDL3-C levels showed a weak negative correlation.
  • HDL3-C levels and proportion were significantly higher in the MetS group compared to the non-MetS group.
  • HDL3-C levels and proportion were the sole lipid predictors of MetS, demonstrating high predictive accuracy (AUCs of 0.84 and 0.83).

Conclusions:

  • HDL-C subclass analysis, particularly HDL3-C, offers more detailed information on cardiovascular risk and MetS than total HDL-C levels alone.
  • These findings suggest that assessing HDL-C subclasses is valuable for risk stratification in individuals with high HDL-C.
Abstract

Keywords:
Cardiovascular riskHDL3 cholesterolHigh-density lipoprotein cholesterolMetabolic syndromeSubclass

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