ApoB-containing lipoproteins: count, type, size, and risk of coronary artery disease
Journal article, 2025
Methods A prospective analysis of 207 368 UK Biobank participants with comprehensive lipoprotein profiling and no prior history of atherosclerotic disease, diabetes, or active lipid-lowering therapy was conducted. Multivariable-adjusted Cox regression models were used to examine the association between each of the following lipid parameters with incident CAD: (i) nuclear magnetic resonance-measured apoB-P, (ii) concentrations of individual lipoprotein classes [very-low-density lipoprotein (VLDL), low-density lipoprotein (LDL)], (iii) size subclasses, (iv) average particle diameter, and (v) immunoassay-measured lipoprotein(a) [Lp(a)].
Results A one standard deviation (SD) increase in apoB-P was associated with a 33% higher CAD risk [hazard ratio (HR): 1.33, 95% CI: 1.30-1.36]. Although VLDL particles were observed to carry a higher per-particle risk (HR per 100 nmol/L: 1.22, 1.11-1.34) compared with LDL (HR per 100 nmol/L: 1.07, 1.05-1.08), this difference was counterbalanced after considering relative particle abundance (LDL 91% vs VLDL 9% of total apoB-P). Thus the respective HR per 1-SD were 1.09 (1.05-1.14) and 1.24 (1.19-1.30). Particle diameter or size subclasses were not associated with CAD after apoB-P adjustment. The association of Lp(a) was robust even after apoB-P adjustment (HR:1.18, 1.16-1.20) and added independent prognostic value for CAD (area under curve: 0.769 vs 0.774, P < .001).
Conclusions Lipid-related atherosclerotic risk is most accurately reflected by the total count of apoB-P and is largely unaffected by the major particle type (VLDL, LDL) or size. Elevated count of Lp(a) adds additional risk, and thus adequate assessment of atherogenic risk from dyslipidemia is best accomplished by consideration of both apoB-P and Lp(a) concentrations.
Apolipoprotein B-containing lipoproteins
Coronary artery disease
Lipoprotein(a)
Nuclear magnetic resonance
Author
Jakub Morze
University of Gothenburg
Giorgio E. M. Melloni
Harvard University
Clemens Wittenbecher
Chalmers, Life Sciences, Food and Nutrition Science
Mika Ala-Korpela
Bioctr Oulu
University of Eastern Finland
University of Oulu
Andrzej Rynkiewicz
SGMK Copernicus University
Marta Guasch-Ferre
Harvard University
University of Copenhagen
Christian T. Ruff
Harvard University
Frank B. Hu
Harvard Medical School
Harvard University
Marc S. Sabatine
Harvard Medical School
Nicholas A. Marston
Harvard Medical School
European Heart Journal
0195-668X (ISSN) 1522-9645 (eISSN)
Vol. In PressThe metabolomics imprint of controlled modification of carbohydrate quality elucidates long-term impact on cardiometabolic disease risk and facilitates precision prevention approaches
Swedish Research Council (VR) (2022-01529), 2023-01-01 -- 2026-12-31.
Subject Categories (SSIF 2025)
Cardiology and Cardiovascular Disease
DOI
10.1093/eurheartj/ehaf207
PubMed
40289348