4.6 Article

Higher chylomicron remnants and LDL particle numbers associate with CD36 SNPs and DNA methylation sites that reduce CD36

Journal

JOURNAL OF LIPID RESEARCH
Volume 57, Issue 12, Pages 2176-2184

Publisher

ELSEVIER
DOI: 10.1194/jlr.P065250

Keywords

dietary lipids; lipoproteins; dyslipidemia; genetics; cholesterol; metabolism; cluster of differentiation 36; low density lipoprotein; single nucleotide polymorphism; deoxyribonucleic acid

Funding

  1. Longer Life Foundation, the American Heart Association Scientist Development
  2. Washington University Nutrition and Obesity Research Center PF [DK56341]
  3. CTSA, National Center for Advancing Translational Sciences [UL1TR000448]
  4. National Institute of Diabetes and Digestive and Kidney Diseases [R01 DK33301, R01 DK060022]
  5. Cooperative State Research, Education, and Extension Service [58-1950-4-003]
  6. National Institute for Health Research [NF-SI-0611-10099] Funding Source: researchfish

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Cluster of differentiation 36 (CD36) variants influence fasting lipids and risk of metabolic syndrome, but their impact on postprandial lipids, an independent risk factor for cardiovascular disease, is unclear. We determined the effects of SNPs within a approximate to 410 kb region encompassing CD36 and its proximal and distal promoters on chylomicron (CM) remnants and LDL particles at fasting and at 3.5 and 6 h following a high-fat meal (Genetics of Lipid Lowering Drugs and Diet Network study, n = 1,117). Five promoter variants associated with CMs, four with delayed TG clearance and five with LDL particle number. To assess mechanisms underlying the associations, we queried expression quantitative trait loci, DNA methylation, and ChIP-seq datasets for adipose and heart tissues that function in postprandial lipid clearance. Several SNPs that associated with higher serum lipids correlated with lower adipose and heart CD36 mRNA and aligned to active motifs for PPAR, a major CD36 regulator. The SNPs also associated with DNA methylation sites that related to reduced CD36 mRNA and higher serum lipids, but mixed-model analyses indicated that the SNPs and methylation independently influence CD36 mRNA. The findings support contributions of CD36 SNPs that reduce adipose and heart CD36 RNA expression to inter-individual variability of postprandial lipid metabolism and document changes in CD36 DNA methylation that influence both CD36 expression and lipids.

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