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Ion mobility analysis of lipoprotein subfractions identifies three independent axes of cardiovascular risk
Kiran Musunuru1, Marju Orho-Melander, Michael P Caulfield
1Center for Human Genetic Research, Cardiology Division, Massachusetts General Hospital, Boston, MA, USA.
Insights
Lipoprotein subfractions, not just total cholesterol, independently predict cardiovascular disease (CVD) risk. Principal component analysis identified three distinct CVD risk components, suggesting independent mechanistic pathways.
Area of Science:
- Cardiovascular Disease Epidemiology
- Lipoprotein Metabolism
- Genetics
Background:
- Epidemiological studies link LDL-C and HDL-C to cardiovascular disease (CVD) risk.
- Limited evidence exists on lipoprotein subfractions and CVD risk in prospective studies.
Purpose of the Study:
- To investigate whether combinations of lipoprotein subfractions independently predict CVD risk.
- To identify distinct components of CVD risk based on lipoprotein subfraction profiles.
Main Methods:
- Prospective cohort study (Malmö Diet and Cancer Study) of 4594 initially healthy individuals.
- Measurement of plasma lipoproteins and subfractions using high-resolution ion mobility.
- Principal component analysis (PCA) applied to subfraction concentrations.
Main Results:
- PCA identified three independent components of CVD risk.
- Component 1: LDL-associated risk. Component 2: HDL-associated protection. Component 3: Atherogenic lipoprotein phenotype (decreased large HDL, increased small/medium LDL, increased triglycerides).
- Genetic analyses suggested SNPs associated with small/medium LDL and large HDL may underlie the atherogenic phenotype.
Conclusions:
- Lipoprotein subfractions provide independent components of CVD risk.
- These components may represent distinct mechanistic pathways for CVD development.
Objective:
Whereas epidemiological studies show that levels of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) predict incident cardiovascular disease (CVD), there is limited evidence relating lipoprotein subfractions and composite measures of subfractions to risk for CVD in prospective cohort studies.
Methods And Results:
We tested whether combinations of lipoprotein subfractions independently predict CVD in a prospective cohort of 4594 initially healthy men and women (the Malmö Diet and Cancer Study, mean follow-up 12.2 years, 377 incident cardiovascular events). Plasma lipoproteins and lipoprotein subfractions were measured at baseline with a novel high-resolution ion mobility technique. Principal component analysis (PCA) of subfraction concentrations identified 3 major independent (ie, zero correlation) components of CVD risk, one representing LDL-associated risk, a second representing HDL-associated protection, and the third representing a pattern of decreased large HDL, increased small/medium LDL, and increased triglycerides. The last corresponds to the previously described "atherogenic lipoprotein phenotype." Several genes that may underlie this phenotype-CETP, LIPC, GALNT2, MLXIPL, APOA1/A5, LPL-are suggested by SNPs associated with the combination of small/medium LDL and large HDL.
Conclusions:
PCA on lipoprotein subfractions yielded three independent components of CVD risk. Genetic analyses suggest these components represent independent mechanistic pathways for development of CVD.
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