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Separation of the principal HDL subclasses by iodixanol ultracentrifugation

Nicola L Harman1, Bruce A Griffin2, Ian G Davies3

  • 1Healing Foundation Cleft and Craniofacial Clinical Research Centre, University of Manchester, Manchester M13 9WL, United Kingdom.

Journal of Lipid Research
|May 22, 2013
PubMed

Insights

A novel method using iodixanol density gradient ultracentrifugation (IxDGUC) and digital photography rapidly separates HDL subclasses. This technique offers a time-saving and cost-effective approach for cardiovascular risk assessment.

Area of Science:

  • Lipidology
  • Cardiovascular Research
  • Biochemistry

Background:

  • Assessing cardiovascular risk often involves analyzing High-Density Lipoprotein (HDL) subclasses.
  • Current methods for HDL subclass detection are time-consuming, limiting their clinical utility.
  • There is a need for faster, reliable techniques to characterize HDL heterogeneity.

Purpose of the Study:

  • To develop a rapid and reliable method for separating principal HDL subclasses.
  • To employ iodixanol density gradient ultracentrifugation (IxDGUC) combined with digital photography for HDL subclass analysis.
  • To validate the IxDGUC method against established techniques like gradient gel electrophoresis (GGE).

Main Methods:

  • Developed a novel separation technique using a three-step iodixanol gradient ultracentrifugation (IxDGUC).
  • Utilized digital photography and gel scan software to generate HDL subclass profiles.
  • Optimized the gradient using 46 plasma samples and compared results with GGE using 548 participants' samples.

Main Results:

  • Achieved separation of HDL subclasses within 2.5 hours.
  • IxDGUC-generated HDL subclass profiles showed strong correlation with GGE (HDL2, r = 0.896; HDL3, r = 0.894).
  • Demonstrated high reproducibility with intra- and interassay coefficients of variation < 5% for HDL2/HDL3 area and < 1% for peak density.

Conclusions:

  • The IxDGUC method provides a time-saving and cost-effective alternative for HDL subclass detection.
  • This technique enables reliable separation and characterization of principal HDL subclasses.
  • The developed method has potential for improved cardiovascular risk assessment through efficient HDL analysis.

Keywords:
HDL subfractionsHDL2HDL3LDL subclassesatherogenic lipoprotein phenotypecardiovascular diseasehigh density lipoproteinplasma lipoproteinsplasma triacylglycerolself-generating gradients

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