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High-Density Lipoprotein Particles, Inflammation, and Coronary Heart Disease Risk.

Eveline O Stock1, Bela F Asztalos2, John M Miller3

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Summary
This summary is machine-generated.

Advanced lipid and inflammatory markers, including pre-beta-1 HDL, significantly improve coronary heart disease (CHD) risk prediction beyond standard measures. Machine learning identifies these advanced markers for earlier, personalized CHD risk assessment.

Keywords:
CHDHDLinflammation

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Area of Science:

  • Cardiovascular Disease Research
  • Biomarker Discovery
  • Lipid Metabolism and Inflammation

Background:

  • Coronary heart disease (CHD) is a leading cause of mortality, linked to altered lipoprotein particles and inflammation.
  • Standard lipid profiles may not fully capture CHD risk, necessitating evaluation of advanced markers.

Purpose of the Study:

  • To compare standard and advanced lipid parameters and inflammatory biomarkers in CHD cases versus matched controls.
  • To assess the incremental value of advanced biomarkers in CHD risk prediction models.

Main Methods:

  • Analysis of plasma samples from 227 CHD cases and 526 controls, off lipid-lowering medication.
  • Measurement of standard lipids, advanced lipids (sdLDL-C, apoA-I, apoB, Lp(a)), HDL subpopulations, and inflammatory markers (hsCRP, SAA, MPO).
  • Application of univariate, multivariate, and machine learning analyses for comparative assessment.

Main Results:

  • Significant differences in hsCRP, MPO, SAA, sdLDL-C, Lp(a), and specific HDL subpopulations (apoA-I in HDL particles) between cases and controls.
  • Advanced parameters, particularly hsCRP, MPO, SAA, sdLDL-C, and Lp(a), showed greater discriminatory power than standard lipids.
  • Multivariate models incorporating advanced markers significantly improved CHD risk prediction (C-statistic: 0.913/0.903 vs. 0.856/0.838 for men/women).

Conclusions:

  • Integrating advanced HDL particle analysis (e.g., preβ-1 HDL) and inflammatory biomarkers with machine learning offers a novel CHD risk assessment approach.
  • Preβ-1 HDL, reflecting impaired cholesterol efflux, is a critical marker for identifying high-risk individuals.
  • This refined stratification model enables earlier identification and personalized interventions for CHD.