Literature DB >> 32435010

Evolocumab Effects on Lipoproteins, Measured by High-Performance Liquid Chromatography.

Daisaku Masuda1,2, Arihiro Kiyosue3,4, Atsushi Hirayama5, Junichiro Shimauchi6, J Antonio G López7, Kazumasa Miyawaki6, Shizuya Yamashita1,8,9.   

Abstract

AIMS: Profiling of lipoproteins can predict risk of cardiovascular disease; gel permeation high-performance liquid chromatography (HPLC) improves prediction accuracy by providing detailed data for specific lipoprotein subclasses. This study applied HPLC to examine the effects of evolocumab, which effectively treats hyperlipidemia and mixed dyslipidemia, on lipoprotein subclasses, specifically the number and size of lipoprotein particles.
METHODS: This post-hoc analysis used patient blood samples from YUKAWA-2, a phase 3 trial evaluating the efficacy of evolocumab in Japanese adult patients with hyperlipidemia or mixed dyslipidemia and at high risk for cardiovascular disease. We used HPLC to assess observed values and percent change from baseline in cholesterol and triglyceride (TG) concentrations, number of particles in lipoprotein subclasses to week 12, and mean observed values and mean percent change from baseline in variables to weeks 10 and 12. HPLC was also compared with conventional methods in assessing low-density lipoprotein (LDL) cholesterol (LDL-C) values.
RESULTS: Data for all 404 patients were analyzed. Evolocumab significantly decreased cholesterol and TG concentrations, and total particle count, in very low-density lipoprotein (VLDL) and LDL subclasses. Particle size increased slightly in LDL, high-density lipoprotein (HDL), and VLDL, but data varied widely. At very low LDL-C, HPLC measurements were higher than those from conventional methods.
CONCLUSION: This research used HPLC to assess the effects of evolocumab in 20 lipid subclasses. By lowering lipid content and improving the lipid profile, evolocumab may reduce atherogenicity. This reduction is better quantified by HPLC than by conventional methods in the very low LDL-C range.

Entities:  

Keywords:  Evolocumab; Gel permeation high-performance liquid chromatography; Lipoprotein; Lipoprotein subclass; Residual risk

Year:  2020        PMID: 32435010      PMCID: PMC7803834          DOI: 10.5551/jat.54353

Source DB:  PubMed          Journal:  J Atheroscler Thromb        ISSN: 1340-3478            Impact factor:   4.928


  31 in total

Review 1.  Lipoprotein particle analysis by nuclear magnetic resonance spectroscopy.

Authors:  Elias J Jeyarajah; William C Cromwell; James D Otvos
Journal:  Clin Lab Med       Date:  2006-12       Impact factor: 1.935

Review 2.  High-density lipoprotein subclasses and their relationship to cardiovascular disease.

Authors:  H Robert Superko; Lakshmana Pendyala; Paul T Williams; Katherine M Momary; Spencer B King; Brenda C Garrett
Journal:  J Clin Lipidol       Date:  2012-03-23       Impact factor: 4.766

3.  2016 ESC/EAS Guidelines for the Management of Dyslipidaemias: The Task Force for the Management of Dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS) Developed with the special contribution of the European Assocciation for Cardiovascular Prevention & Rehabilitation (EACPR).

Authors:  Alberico L Catapano; Ian Graham; Guy De Backer; Olov Wiklund; M John Chapman; Heinz Drexel; Arno W Hoes; Catriona S Jennings; Ulf Landmesser; Terje R Pedersen; Željko Reiner; Gabriele Riccardi; Marja-Riita Taskinen; Lale Tokgozoglu; W M Monique Verschuren; Charalambos Vlachopoulos; David A Wood; Jose Luis Zamorano
Journal:  Atherosclerosis       Date:  2016-09-01       Impact factor: 5.162

4.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

5.  Effect of Evolocumab on Lipoprotein Particles.

Authors:  Peter P Toth; Naveed Sattar; Dirk J Blom; Seth S Martin; Steven R Jones; Maria Laura Monsalvo; Mary Elliott; Mike Davis; Ransi Somaratne; David Preiss
Journal:  Am J Cardiol       Date:  2017-11-08       Impact factor: 2.778

6.  Lipoprotein Particle Profiles, Standard Lipids, and Peripheral Artery Disease Incidence.

Authors:  Aaron W Aday; Patrick R Lawler; Nancy R Cook; Paul M Ridker; Samia Mora; Aruna D Pradhan
Journal:  Circulation       Date:  2018-11-20       Impact factor: 29.690

Review 7.  New dimension of statin action on ApoB atherogenicity.

Authors:  M John Chapman; Muriel Caslake; Chris Packard; Fergus McTaggart
Journal:  Clin Cardiol       Date:  2003-01       Impact factor: 2.882

8.  Incidence of coronary heart disease and lipoprotein cholesterol levels. The Framingham Study.

Authors:  W P Castelli; R J Garrison; P W Wilson; R D Abbott; S Kalousdian; W B Kannel
Journal:  JAMA       Date:  1986-11-28       Impact factor: 56.272

Review 9.  Recent Advances in Analytical Methods on Lipoprotein Subclasses: Calculation of Particle Numbers from Lipid Levels by Gel Permeation HPLC Using "Spherical Particle Model".

Authors:  Mitsuyo Okazaki; Shizuya Yamashita
Journal:  J Oleo Sci       Date:  2016       Impact factor: 1.601

10.  Guidelines for Diagnosis and Treatment of Familial Hypercholesterolemia 2017.

Authors:  Mariko Harada-Shiba; Hidenori Arai; Yasushi Ishigaki; Shun Ishibashi; Tomonori Okamura; Masatsune Ogura; Kazushige Dobashi; Atsushi Nohara; Hideaki Bujo; Katsumi Miyauchi; Shizuya Yamashita; Koutaro Yokote
Journal:  J Atheroscler Thromb       Date:  2018-06-07       Impact factor: 4.928

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  1 in total

1.  Distinct Differences in Lipoprotein Particle Number Evaluation between GP-HPLC and NMR: Analysis in Dyslipidemic Patients Administered a Selective PPARα Modulator, Pemafibrate.

Authors:  Shizuya Yamashita; Mitsuyo Okazaki; Takeshi Okada; Daisaku Masuda; Koutaro Yokote; Hidenori Arai; Eiichi Araki; Shun Ishibashi
Journal:  J Atheroscler Thromb       Date:  2021-02-02       Impact factor: 4.928

  1 in total

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