Literature DB >> 20348400

Comparison between gradient gel electrophoresis and nuclear magnetic resonance spectroscopy in estimating coronary heart disease risk associated with LDL and HDL particle size.

Benoit J Arsenault1, Isabelle Lemieux, Jean-Pierre Després, Nicholas J Wareham, Erik S G Stroes, John J P Kastelein, Kay-Tee Khaw, S Matthijs Boekholdt.   

Abstract

BACKGROUND: Gradient gel electrophoresis (GGE) and nuclear magnetic resonance (NMR) spectroscopy are both widely accepted methods for measuring LDL and HDL particle size. However, whether or not GGE- or NMR-measured LDL or HDL particle size predicts coronary heart disease (CHD) risk to a similar extent is currently unknown.
METHODS: We used GGE and NMR to measure LDL and HDL particle size in a nested case-control study of 1025 incident cases of CHD and 1915 controls from the EPIC (European Prospective Investigation into Cancer and Nutrition)-Norfolk study. The study sample included apparently healthy men and women age 45-79 years followed for an average of 6 years.
RESULTS: Pearson correlation coefficients showed that the overall agreement between NMR and GGE was better for the measurement of HDL size (r = 0.78) than for LDL size (r = 0.47). The odds ratio for future CHD among participants in the bottom tertile of LDL size (smallest LDL particles) was 1.35 (95% CI, 1.12-1.63) for GGE and 1.74 (1.41-2.15) for NMR. For HDL size, these respective odds ratios were 1.41 (1.16-1.72) and 1.85 (1.47-2.32). After adjustment for potential confounders, the relationship between small LDL or HDL particles and CHD was no longer significant, irrespective of the method.
CONCLUSIONS: In this prospective population study, we found that the relationships between NMR-measured LDL and HDL sizes and CHD risk were slightly higher than those obtained with GGE.

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Year:  2010        PMID: 20348400     DOI: 10.1373/clinchem.2009.140939

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  13 in total

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Review 2.  Lipid parameters for measuring risk of cardiovascular disease.

Authors:  Benoit J Arsenault; S Matthijs Boekholdt; John J P Kastelein
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3.  Changes in the size and electrophoretic mobility of HDL subpopulation particles in chronic kidney disease.

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Journal:  J Nephrol       Date:  2022-08-09       Impact factor: 4.393

4.  Impaired fasting glucose and impaired glucose tolerance have distinct lipoprotein and apolipoprotein changes: the insulin resistance atherosclerosis study.

Authors:  Carlos Lorenzo; Sara Hartnett; Anthony J Hanley; Marian J Rewers; Lynne E Wagenknecht; Andrew J Karter; Steven M Haffner
Journal:  J Clin Endocrinol Metab       Date:  2013-02-28       Impact factor: 5.958

5.  A comparison of the theoretical relationship between HDL size and the ratio of HDL cholesterol to apolipoprotein A-I with experimental results from the Women's Health Study.

Authors:  Norman A Mazer; Franco Giulianini; Nina P Paynter; Paul Jordan; Samia Mora
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6.  Structure-function relationships of HDL in diabetes and coronary heart disease.

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Review 8.  Subpopulations of High-Density Lipoprotein: Friends or Foes in Cardiovascular Disease Risk in Chronic Kidney Disease?

Authors:  Susana Coimbra; Flávio Reis; Maria João Valente; Susana Rocha; Cristina Catarino; Petronila Rocha-Pereira; Maria Sameiro-Faria; Elsa Bronze-da-Rocha; Luís Belo; Alice Santos-Silva
Journal:  Biomedicines       Date:  2021-05-16

9.  High Density Lipoprotein and it's Dysfunction.

Authors:  Esin Eren; Necat Yilmaz; Ozgur Aydin
Journal:  Open Biochem J       Date:  2012-07-27

10.  Core lipid, surface lipid and apolipoprotein composition analysis of lipoprotein particles as a function of particle size in one workflow integrating asymmetric flow field-flow fractionation and liquid chromatography-tandem mass spectrometry.

Authors:  Zsuzsanna Kuklenyik; Jeffery I Jones; Michael S Gardner; David M Schieltz; Bryan A Parks; Christopher A Toth; Jon C Rees; Michael L Andrews; Kayla Carter; Antony K Lehtikoski; Lisa G McWilliams; Yulanda M Williamson; Kevin P Bierbaum; James L Pirkle; John R Barr
Journal:  PLoS One       Date:  2018-04-10       Impact factor: 3.240

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