| Literature DB >> 23690506 |
Nicola L Harman1, Bruce A Griffin2, Ian G Davies3.
Abstract
HDL subclasses detection, in cardiovascular risk, has been limited due to the time-consuming nature of current techniques. We have developed a time-saving and reliable separation of the principal HDL subclasses employing iodixanol density gradient ultracentrifugation (IxDGUC) combined with digital photography. HDL subclasses were separated in 2.5 h from prestained plasma on a three-step iodixanol gradient. HDL subclass profiles were generated by digital photography and gel scan software. Plasma samples (n = 46) were used to optimize the gradient for the resolution of HDL heterogeneity and to compare profiles generated by IxDGUC with gradient gel electrophoresis (GGE); further characterization from participants (n = 548) with a range of lipid profiles was also performed. HDL subclass profiles generated by IxDGUC were comparable to those separated by GGE as indicated by a significant association between areas under the curve for both HDL2 and HDL3 (HDL2, r = 0.896, P < 0.01; HDL3, r = 0.894, P < 0.01). The method was highly reproducible, with intra- and interassay coefficient of variation percentage < 5 for percentage area under the curve HDL2 and HDL3, and < 1% for peak Rf and peak density. The method provides time-saving and cost-effective detection and preparation of the principal HDL subclasses.Entities:
Keywords: HDL subfractions; HDL2; HDL3; LDL subclasses; atherogenic lipoprotein phenotype; cardiovascular disease; high density lipoprotein; plasma lipoproteins; plasma triacylglycerol; self-generating gradients
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Year: 2013 PMID: 23690506 PMCID: PMC3708377 DOI: 10.1194/jlr.D037432
Source DB: PubMed Journal: J Lipid Res ISSN: 0022-2275 Impact factor: 5.922