Quantifying the contribution of lipoprotein(a) to all apoB containing particles

Michael Chilazi1, Weili Zheng1, Jihwan Park2

  • 1Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Insights

A new particle-based method accurately quantifies lipoprotein (a) [Lp(a)] contribution to atherogenic particles. This approach improves risk assessment for cardiovascular disease by focusing on particle number over mass measurements.

Area of Science:

  • Cardiovascular Science
  • Lipid Metabolism
  • Biochemistry

Background:

  • Elevated lipoprotein (a) [Lp(a)] is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD).
  • Clinical LDL cholesterol [LDL-C] measurements incorporate cholesterol from Lp(a) [Lp(a)-C], complicating accurate risk assessment.
  • Measuring Lp(a) particle number [Lp(a)-P] is more accurate than estimating Lp(a)-C.

Purpose of the Study:

  • To develop a particle-based approach for quantifying Lp(a)'s contribution to atherogenic particles.
  • To utilize readily available measures of Lp(a)-P and apolipoprotein B (apoB).

Main Methods:

  • Compared Lp(a)-P with all apoB-containing particles (apoB-P) using the Very Large Database of Lipids (VLDbL).
  • Calculated apoB-P by converting apoB mass to molar concentration.
  • Determined the percentage of Lp(a)-P relative to apoB-P, stratified by Lp(a)-P deciles, triglycerides, LDL-C, and non-HDL-C.

Main Results:

  • Analyzed data from 158,260 patients.
  • The fraction of Lp(a)-P/apoB-P increased with rising Lp(a)-P.
  • Lp(a)-P constituted 3% of apoB-P on average, reaching 15% in the highest Lp(a)-P decile; this fraction decreased with higher triglycerides and LDL-C.

Conclusions:

  • Demonstrated a validated, particle-based method to quantify Lp(a) contribution to apoB-containing particles.
  • This method aligns with recommendations for prioritizing particle-based over mass-based Lp(a) measurements.
  • Future research can define clinical thresholds and inform risk assessment and management strategies.
Abstract

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