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High-density lipoprotein cholesterol (HDL-C) is thought to be atheroprotective yet some patients with elevated HDL-C levels develop cardiovascular disease, possibly due to the presence of dysfunctional HDL. We aimed to assess the metabolic fate of circulating HDL particles in patients with high HDL-C with and without coronary artery disease (CAD) using in vivo dual labeling of its cholesterol and protein moieties. We measured HDL apolipoprotein (apo) A-I, apoA-II, free cholesterol (FC), and cholesteryl ester (CE) kinetics using stable isotope-labeled tracers (D3-leucine and 13C2-acetate) as well as ex vivo cholesterol efflux to HDL in subjects with (n = 6) and without (n = 6) CAD that had HDL-C levels &gt, 90th percentile. Healthy controls with HDL-C within the normal range (n = 6) who underwent the same procedures were used as the reference. Subjects with high HDL-C with and without CAD had similar plasma lipid levels and similar apoA-I, apoA-II, HDL FC, and CE pool sizes with no significant differences in fractional clearance rates (FCRs) or production rates (PRs) of these components between groups. Subjects with high HDL-C with and without CAD also had similar basal and cAMP-stimulated ex vivo cholesterol efflux to HDL. When all subjects were considered (n = 18), unstimulated non-ABCA1-mediated efflux (but not ABCA1-specific efflux) was correlated positively with apoA-I production (r = 0.552, p = 0.017) and HDL FC and CE pool sizes, and negatively with the fractional clearance rate of FC (r = −0.759, p = 4.1 × 10−4) and CE (r = −0.652, p = 4.57 × 10−3). Our data are consistent with the concept that ex vivo non-ABCA1 efflux capacity may correlate with slower in vivo turnover of HDL cholesterol moieties. The use of a dual labeling protocol provided for the first time the opportunity to assess the association of ex vivo cholesterol efflux capacity with in vivo HDL cholesterol metabolic parameters.

Background: Genome-wide association studies have uncovered common variants at many loci influencing human complex traits, such as high-density lipoprotein cholesterol (HDL-C). However, the contribu...

Genome-wide association studies have uncovered common variants at many loci influencing human complex traits and diseases, such as high-density lipoprotein cholesterol (HDL-C). However, the contribution of the identified genes is difficult to ascertain from current efforts interrogating common variants with small effects. Thus, there is a pressing need for scalable, cost-effective strategies for uncovering causal variants, many of which may be rare and noncoding. Here, we used a multiplexed inversion probe (MIP) target capture approach to resequence both coding and regulatory regions at seven HDL-C associated loci in 797 individuals with extremely high HDL-C vs. 735 low-to-normal HDL-C controls. Our targets included protein-coding regions of GALNT2, APOA5, APOC3, SCARB1, CCDC92, ZNF664, CETP, and LIPG (>9 kb), and proximate noncoding regulatory features (>42 kb). Exome-wide genotyping in 1,114 of the 1,532 participants yielded a >90% genotyping concordance rate with MIP-identified variants in ~90% of participants. This approach rediscovered nearly all established GWAS associations in GALNT2, CETP, and LIPG loci with significant and concordant associations with HDL-C from our phenotypic-extremes design at 0.1% of the sample size of lipid GWAS studies. In addition, we identified a novel, rare, CETP noncoding variant enriched in the extreme high HDL-C group (P

Background Plasma high-density lipoprotein cholesterol (HDL-C) levels are inversely associated with risk of coronary artery disease (CAD) in epidemiologic studies. Despite this, the directionality of this relationship and the underlying biology behind it remain to be firmly established, especially at the extremes of HDL-C levels. Objective We investigated differences in the HDL phosphosphingolipidome in a rare population of subjects with premature CAD despite high HDL-C levels to gain insight into the association between the HDL lipidome and CAD disease status in this unusual phenotype. We sought to assess differences in HDL composition that are associated with CAD in subjects with HDL-C >90th percentile. We predicted that quantitative lipidomic analysis of HDL particles would reveal novel differences between CAD patients and healthy subjects with matched HDL-C levels. Methods We collected plasma samples from 25 subjects with HDL-C >90th percentile and clinically manifest CAD and healthy controls with HDL-C >90th percentile and without self-reported CAD. More than 140 individual HDL phospholipid and sphingolipid species were analyzed by LC/MS/MS. Results Significant reductions in HDL phosphatidylcholine (−2.41%, Q value = 0.025) and phosphatidylinositol (−10.7%, Q value = 0.047) content, as well as elevated sphingomyelin (+10.0%, Q value = 0.025) content, and sphingomyelin/phosphatidylcholine ratio (+12.8%, P value = .005) were associated with CAD status in subjects with high HDL-C. Conclusions These differences may lay the groundwork for further analysis of the relationship between the HDL lipidome and disease states, as well as for the development of biomarkers of CAD status and HDL function.

The research paradigm of using human genetic variation to unequivocally, causally, and directionally link a specific gene with a specific phenotype, trait, or disease has yielded extraordinary discoveries at an accelerating pace [(1–3)][1]. Increasingly, this approach has been of interest as a