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Updated: Apr 17, 2026

Differential Effects of Lipid-lowering Drugs in Modulating Morphology of Cholesterol Particles
Published on: November 10, 2017
Underappreciated opportunities for high-density lipoprotein particles in risk stratification and potential targets of
Robert S Rosenson1, Michael H Davidson, Ngoc-Anh Le
1Cardiometabolic Disorders Unit Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1030, New York, NY, 10029, USA, robert.rosenson@mssm.edu.
Insights
High-density lipoprotein cholesterol (HDL-C) levels may not be the best indicator for cardiovascular disease risk. High-density lipoprotein particle number (HDL-P) is a stronger predictor and should be the focus of HDL-raising therapies.
Area of Science:
- Cardiovascular Medicine
- Lipidology
- Biomarker Discovery
Background:
- The established inverse relationship between high-density lipoprotein cholesterol (HDL-C) and coronary heart disease (CHD) risk has driven therapeutic development.
- Recent clinical trials targeting increased HDL-C have unexpectedly failed to demonstrate improved cardiovascular outcomes, questioning HDL-C's role as a sole therapeutic target.
- HDL functionality is complex and not fully captured by HDL-C alone; alternative measures like apolipoprotein A-I (apoA-I) and HDL particle number (HDL-P) exist.
Purpose of the Study:
- To review evidence supporting high-density lipoprotein particle number (HDL-P) as a superior biomarker for assessing cardiovascular risk.
- To advocate for HDL-P as the primary therapeutic goal for interventions aimed at modulating HDL levels.
- To discuss the differential impact of lipoprotein-altering therapies on various HDL measures (HDL-C, apoA-I, HDL-P).
Main Methods:
- Review of existing clinical trial data and observational studies.
- Comparative analysis of HDL-C, apoA-I, and HDL-P as predictors of coronary heart disease.
- Evaluation of the effects of various lipid-modifying therapies on different HDL metrics.
Main Results:
- High-density lipoprotein particle number (HDL-P) has emerged as a more robust predictor of coronary heart disease risk compared to HDL-C and apoA-I.
- Lipoprotein-altering medications exhibit varied effects across HDL-C, apoA-I, and HDL-P measurements.
- The clinical utility of HDL-C as a surrogate marker for cardiovascular risk reduction is increasingly being questioned.
Conclusions:
- High-density lipoprotein particle number (HDL-P) is a more reliable biomarker for assessing cardiovascular risk associated with HDL.
- Therapeutic strategies aimed at improving cardiovascular outcomes should prioritize increasing HDL-P.
- Future research and clinical practice should consider HDL-P as a key metric in cardiovascular risk assessment and management.
Abstract:
The inverse relationship between high-density lipoprotein cholesterol (HDL-C) concentrations and coronary heart disease risk is well established. As a result, in recent years there have been significant resources focused on identifying therapies that raise HDL-C and ultimately reduce cardiovascular events. Unfortunately, a number of trials aimed at increasing HDL-C have failed to show improved outcomes, and hence, have cast doubt on the importance of HDL-C as a therapeutic target. HDL-C, however, is only one measure of HDL. HDL levels can also been estimated by quantifying apolipoprotein A-I (apoA-I) levels using enzyme immunoassay or by measuring HDL particle number (HDL-P) using nuclear magnetic resonance spectroscopy (NMR) or ion mobility. While these surrogate measures are correlated, they are not comparable. Lipoprotein-altering therapies have been shown to have different effects on HDL-C, apoA-I and HDL-P and several studies have demonstrated that HDL-P is a stronger predictor of coronary heart disease risk than HDL-C and/or apoA-I. This paper will review available evidence supporting the use of HDL-P as the biomarker of choice to assess the contribution of HDL to cardiovascular risk and as the primary goal of HDL-raising therapies.
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