Literature DB >> 14993238

Study of agreement between LDL size as measured by nuclear magnetic resonance and gradient gel electrophoresis.

D R Witte1, M R Taskinen, H Perttunen-Nio, A Van Tol, S Livingstone, H M Colhoun.   

Abstract

LDL particle size can be measured by gradient gel electrophoresis (GGE) and NMR. The agreement between the two methods has not been extensively evaluated. Therefore, we measured LDL size by NMR and GGE in 324 individuals (152 with type 1 diabetes and 172 controls). The Spearman correlation between both methods was 0.39 [95% confidence interval (CI) = 0.29, 0.48]. The average difference was 5.38 nm (NMR being smaller), but it increased with increasing LDL size. Less than 50% of people classified as pattern B on GGE were classified as pattern B on NMR (kappa = 0.31; 95% CI = 0.17, 0.45). Agreement was lower for diabetic subjects compared with controls, for women compared with men, and for subjects with triglycerides less than 1.30 mmol/l compared with subjects with triglycerides greater than 1.30 mmol/l. External validation showed that cholesteryl ester transfer rate was related to LDL size on GGE in all subgroups and to LDL size on NMR only in men and nondiabetic subjects. Our findings show that agreement between NMR- and GGE-based LDL size is far from perfect and is not consistent across subgroups of patients. In particular, the two methods should not be assumed to be interchangeable in women and diabetic subjects. Whether NMR or GGE predicts cardiovascular disease risk better has not yet been evaluated.

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Year:  2004        PMID: 14993238     DOI: 10.1194/jlr.M300395-JLR200

Source DB:  PubMed          Journal:  J Lipid Res        ISSN: 0022-2275            Impact factor:   5.922


  12 in total

1.  LDL and HDL transfer rates across peripheral microvascular endothelium agree with those predicted for passive ultrafiltration in humans.

Authors:  C Charles Michel; M Nazeem Nanjee; Waldemar L Olszewski; Norman E Miller
Journal:  J Lipid Res       Date:  2014-11-14       Impact factor: 5.922

2.  Lipoproteins: When size really matters.

Authors:  J Bruce German; Jennifer T Smilowitz; Angela M Zivkovic
Journal:  Curr Opin Colloid Interface Sci       Date:  2006-06       Impact factor: 6.448

3.  Liposcale: a novel advanced lipoprotein test based on 2D diffusion-ordered 1H NMR spectroscopy.

Authors:  Roger Mallol; Núria Amigó; Miguel A Rodríguez; Mercedes Heras; Maria Vinaixa; Núria Plana; Edmond Rock; Josep Ribalta; Oscar Yanes; Lluís Masana; Xavier Correig
Journal:  J Lipid Res       Date:  2015-01-07       Impact factor: 5.922

Review 4.  Clinical significance of the physicochemical properties of LDL in type 2 diabetes.

Authors:  P G Scheffer; T Teerlink; R J Heine
Journal:  Diabetologia       Date:  2005-04-14       Impact factor: 10.122

Review 5.  Coronary heart disease in women: why the disproportionate risk?

Authors:  Helen Colhoun
Journal:  Curr Diab Rep       Date:  2006-02       Impact factor: 4.810

Review 6.  Advanced lipoprotein testing and subfractionation are not (yet) ready for routine clinical use.

Authors:  Samia Mora
Journal:  Circulation       Date:  2009-05-05       Impact factor: 29.690

Review 7.  LDL electronegativity index: a potential novel index for predicting cardiovascular disease.

Authors:  Ekaterina A Ivanova; Yuri V Bobryshev; Alexander N Orekhov
Journal:  Vasc Health Risk Manag       Date:  2015-08-28

Review 8.  Small Dense Low-Density Lipoprotein as Biomarker for Atherosclerotic Diseases.

Authors:  Ekaterina A Ivanova; Veronika A Myasoedova; Alexandra A Melnichenko; Andrey V Grechko; Alexander N Orekhov
Journal:  Oxid Med Cell Longev       Date:  2017-05-07       Impact factor: 6.543

Review 9.  The beneficial effects of nutraceuticals and natural products on small dense LDL levels, LDL particle number and LDL particle size: a clinical review.

Authors:  Sepide Talebi; Mohammad Bagherniya; Stephen L Atkin; Gholamreza Askari; Hossein M Orafai; Amirhossein Sahebkar
Journal:  Lipids Health Dis       Date:  2020-04-11       Impact factor: 3.876

10.  Developing Electron Microscopy Tools for Profiling Plasma Lipoproteins Using Methyl Cellulose Embedment, Machine Learning and Immunodetection of Apolipoprotein B and Apolipoprotein(a).

Authors:  Yvonne Giesecke; Samuel Soete; Katarzyna MacKinnon; Thanasis Tsiaras; Madeline Ward; Mohammed Althobaiti; Tamas Suveges; James E Lucocq; Stephen J McKenna; John M Lucocq
Journal:  Int J Mol Sci       Date:  2020-09-02       Impact factor: 5.923

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