| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Articles |
1
Biochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic and Foundation, Rochester, MN 55905.
2
Department of New Technology and Test Development, South
Bend Medical Foundation, South Bend, IN 46601-1098.
3
Department of Neurology, Mayo Clinic and Foundation,
Rochester, MN 55905.
a Address correspondence to this author at: Mayo Clinic, Department of Laboratory Medicine and Pathology, Hilton 210, 200 First St. SW, Rochester, MN 55905. Fax 507-284-1399; e-mail
mcconnell.joseph{at}mayo.edu.
Background: Recent evidence suggests that the presence of small, dense LDL is independently associated with increased risk of developing coronary artery disease. Current methods to subfractionate LDL are time-consuming and/or technically demanding. Therefore, we have sought the development of a less complex LDL subfractionation procedure.
Methods: LDL subfractions were separated using the Quantimetrix LipoprintTM LDL System. High-resolution 3% polyacrylamide gel tubes were scanned densitometrically (610 nm) with a Helena EDC system. A computerized method to identify and quantitatively score the resolved LDL subfractions was developed. Results from the Quantimetrix method were compared using 51 plasma samples with values obtained by nondenaturing gradient gel electrophoresis (NDGGE) and nuclear magnetic resonance (NMR) spectroscopy.
Results: LDL subfractionation scores correlated significantly (P <0.05) with triglyceride, HDL-cholesterol, apolipoprotein B100, and LDL-cholesterol/apolipoprotein B100 (r = 0.591, -0.392, 0.454, and -0.411, respectively). For 51 samples, the Quantimetrix method classified 21 with small, 14 with intermediate, and 16 with large LDL. Of the 21 samples classified as small by Quantimetrix, 20 (95%) were classified as small (n = 18) or intermediate (n = 2) by NDGGE. All of the 16 specimens classified as large by Quantimetrix were either large (n = 14) or intermediate (n = 2) by NDGGE. LDL score was inversely correlated (r = -0.674; P <0.0001) with LDL particle size determined by NMR spectroscopy.
Conclusions: A quantitative method for the assessment of LDL particle size phenotype was developed using the Quantimetrix Lipoprint LDL System. The method can be performed in less than 3 h in batch mode and is suitable for routine use in clinical laboratories.
The following articles in journals at HighWire Press have cited this article:
|
|
 |
|
  H. Y. AYDOGAN, S. ISBIR, O. KURNAZ, U. GORMUS, and T. ISBIR Associations of Lipoprotein Lipase S447X and Apolipoprotein E Genotypes with Low-density Lipoprotein Subfractions in Turkish Patients with Coronary Artery Disease In Vivo, January 1, 2009; 23(1): 155 - 161. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 N. Satoh, A. Shimatsu, K. Kotani, N. Sakane, K. Yamada, T. Suganami, H. Kuzuya, and Y. Ogawa Purified Eicosapentaenoic Acid Reduces Small Dense LDL, Remnant Lipoprotein Particles, and C-Reactive Protein in Metabolic Syndrome Diabetes Care, January 1, 2007; 30(1): 144 - 146. [Full Text] [PDF]
|
|
|
|
 |
|
 M. Okazaki, S. Usui, A. Fukui, I. Kubota, and H. Tomoike Component Analysis of HPLC Profiles of Unique Lipoprotein Subclass Cholesterols for Detection of Coronary Artery Disease Clin. Chem., November 1, 2006; 52(11): 2049 - 2053. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
W. Ensign, N. Hill, and C. B. Heward Disparate LDL Phenotypic Classification among 4 Different Methods Assessing LDL Particle Characteristics Clin. Chem., September 1, 2006; 52(9): 1722 - 1727. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 I. J. Kullo, K. Ding, E. Boerwinkle, S. T. Turner, and M. de Andrade Quantitative trait loci influencing low density lipoprotein particle size in African Americans J. Lipid Res., July 1, 2006; 47(7): 1457 - 1462. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
I. Gazi, E. S. Lourida, T. Filippatos, V. Tsimihodimos, M. Elisaf, and A. D. Tselepis Lipoprotein-Associated Phospholipase A2 Activity Is a Marker of Small, Dense LDL Particles in Human Plasma Clin. Chem., December 1, 2005; 51(12): 2264 - 2273. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. Okazaki, S. Usui, M. Ishigami, N. Sakai, T. Nakamura, Y. Matsuzawa, and S. Yamashita Identification of Unique Lipoprotein Subclasses for Visceral Obesity by Component Analysis of Cholesterol Profile in High-Performance Liquid Chromatography Arterioscler Thromb Vasc Biol, March 1, 2005; 25(3): 578 - 584. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 I. J. Kullo and C. M. Ballantyne Conditional Risk Factors for Atherosclerosis Mayo Clin. Proc., February 1, 2005; 80(2): 219 - 230. [Abstract] [PDF]
|
|
|
|
 |
|
 J. S. Volek, M. J. Sharman, A. L. Gomez, C. DiPasquale, M. Roti, A. Pumerantz, and W. J. Kraemer Comparison of a Very Low-Carbohydrate and Low-Fat Diet on Fasting Lipids, LDL Subclasses, Insulin Resistance, and Postprandial Lipemic Responses in Overweight Women J. Am. Coll. Nutr., April 1, 2004; 23(2): 177 - 184. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. J. Sharman, A. L. Gomez, W. J. Kraemer, and J. S. Volek Very Low-Carbohydrate and Low-Fat Diets Affect Fasting Lipids and Postprandial Lipemia Differently in Overweight Men J. Nutr., April 1, 2004; 134(4): 880 - 885. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
I. G. Davies, J. M. Graham, and B. A. Griffin Rapid Separation of LDL Subclasses by Iodixanol Gradient Ultracentrifugation Clin. Chem., November 1, 2003; 49(11): 1865 - 1872. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. S. Volek, M. J. Sharman, A. L. Gomez, T. P. Scheett, and W. J. Kraemer An Isoenergetic Very Low Carbohydrate Diet Improves Serum HDL Cholesterol and Triacylglycerol Concentrations, the Total Cholesterol to HDL Cholesterol Ratio and Postprandial Lipemic Responses Compared with a Low Fat Diet in Normal Weight, Normolipidemic Women J. Nutr., September 1, 2003; 133(9): 2756 - 2761. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. J. Sharman, W. J. Kraemer, D. M. Love, N. G. Avery, A. L. Gomez, T. P. Scheett, and J. S. Volek A Ketogenic Diet Favorably Affects Serum Biomarkers for Cardiovascular Disease in Normal-Weight Men J. Nutr., July 1, 2002; 132(7): 1879 - 1885. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
