Literature DB >> 28025448

Cholesterol Levels of Six Fractionated Serum Lipoproteins and its Relevance to Coronary Heart Disease Risk Scores.

Daisuke Manita1, Hiroshi Yoshida2, Yuji Hirowatari3.   

Abstract

AIM: Evaluation of serum lipoprotein profiles including triglyceride (TG)-rich lipoprotein, that is, intermediate-density lipoprotein (IDL), very low-density lipoprotein (VLDL), and chylomicron (CM) remnant is important to manage coronary heart disease (CHD) risk. The purpose of this study was to investigate CHD or cardiovascular disease (CVD) risk scores with cholesterol levels of six fractionated lipoprotein classes {high-density lipoprotein [HDL], low-density lipoprotein [LDL], IDL, VLDL, CM including CM remnant, and lipoprotein (a) [Lp (a)]} in Japanese healthy men.
METHODS: The present study enrolled 161 healthy men without any medications. Lipoprotein profiles (fractionated lipoprotein cholesterol levels) were measured by anion-exchange high-performance liquid chromatography (AEX-HPLC) method and were compared with age, estimated glomerular filtration rate (eGFR), and three risk scores, that is, NIPPON DATA, Hisayama risk predicting model, and Suita score.
RESULTS: Levels of LDL-cholesterol (C), VLDL-C, and CM-C significantly differed with age, while values of HDL-C, IDL-C, and Lp(a)-C were not different. The eGFR inversely correlated with LDL-C, IDL-C, VLDL-C, and CM-C. In a stepwise multiple logistic regression analysis, VLDL-C only correlated independently with eGFR. Three risk scores significantly correlated with CM-C.
CONCLUSIONS: These results suggested that VLDL-C concentration contributes to an increased risk at early stages of renal dysfunction, and CM-C may serve as a marker for estimating CHD risk in Japanese healthy men.

Entities:  

Keywords:  Anion-exchange high-performance liquid chromatography; Coronary heart disease; Estimated glomerular filtration rate; Triglyceride-rich lipoprotein

Mesh:

Substances:

Year:  2016        PMID: 28025448      PMCID: PMC5587519          DOI: 10.5551/jat.34728

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


  44 in total

1.  Intermediate-density lipoproteins and progression of carotid arterial wall intima-media thickness.

Authors:  H N Hodis; W J Mack; M Dunn; C Liu; C Liu; R H Selzer; R M Krauss
Journal:  Circulation       Date:  1997-04-15       Impact factor: 29.690

2.  Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

Authors:  R B D'Agostino; S Grundy; L M Sullivan; P Wilson
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

3.  Predicting coronary heart disease using risk factor categories for a Japanese urban population, and comparison with the framingham risk score: the suita study.

Authors:  Kunihiro Nishimura; Tomonori Okamura; Makoto Watanabe; Michikazu Nakai; Misa Takegami; Aya Higashiyama; Yoshihiro Kokubo; Akira Okayama; Yoshihiro Miyamoto
Journal:  J Atheroscler Thromb       Date:  2014-03-25       Impact factor: 4.928

4.  Use of a reference material proposed by the International Federation of Clinical Chemistry and Laboratory Medicine to evaluate analytical methods for the determination of plasma lipoprotein(a).

Authors:  S M Marcovina; J J Albers; A M Scanu; H Kennedy; F Giaculli; K Berg; R Couderc; F Dati; N Rifai; I Sakurabayashi; J R Tate; A Steinmetz
Journal:  Clin Chem       Date:  2000-12       Impact factor: 8.327

5.  Lipoprotein subclasses in the Monitored Atherosclerosis Regression Study (MARS). Treatment effects and relation to coronary angiographic progression.

Authors:  W J Mack; R M Krauss; H N Hodis
Journal:  Arterioscler Thromb Vasc Biol       Date:  1996-05       Impact factor: 8.311

6.  Joint distribution of lipoprotein cholesterol classes. The Framingham study.

Authors:  R D Abbott; R J Garrison; P W Wilson; F H Epstein; W P Castelli; M Feinleib; C LaRue
Journal:  Arteriosclerosis       Date:  1983 May-Jun

7.  Coronary heart disease prediction from lipoprotein cholesterol levels, triglycerides, lipoprotein(a), apolipoproteins A-I and B, and HDL density subfractions: The Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  A R Sharrett; C M Ballantyne; S A Coady; G Heiss; P D Sorlie; D Catellier; W Patsch
Journal:  Circulation       Date:  2001-09-04       Impact factor: 29.690

Review 8.  Dyslipidemia of chronic renal failure: the nature, mechanisms, and potential consequences.

Authors:  N D Vaziri
Journal:  Am J Physiol Renal Physiol       Date:  2006-02

9.  Rabbit very low density lipoprotein receptor: a low density lipoprotein receptor-like protein with distinct ligand specificity.

Authors:  S Takahashi; Y Kawarabayasi; T Nakai; J Sakai; T Yamamoto
Journal:  Proc Natl Acad Sci U S A       Date:  1992-10-01       Impact factor: 11.205

10.  Cholesterol and mortality. 30 years of follow-up from the Framingham study.

Authors:  K M Anderson; W P Castelli; D Levy
Journal:  JAMA       Date:  1987-04-24       Impact factor: 56.272

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Authors:  Yoshio Fujioka
Journal:  J Atheroscler Thromb       Date:  2017-10-18       Impact factor: 4.928

2.  The efficacy of Yiqi Huoxue method in treating coronary artery disease after percutaneous coronary intervention: A meta-analysis in accordance with PRISMA guideline.

Authors:  Miao Zhang; Ming-Yue Sun; Qi-Ting Chen; Feng-Qin Xu; Zong-Zheng Chen; Wen-Bo Wei; Rui-Ting Wang; Gui-Peng Xu; Hui-Jun Yin
Journal:  Medicine (Baltimore)       Date:  2022-10-14       Impact factor: 1.817

Review 3.  Innovatively Established Analysis Method for Lipoprotein Profiles Based on High-Performance Anion-Exchange Liquid Chromatography.

Authors:  Yuji Hirowatari; Hiroshi Yoshida
Journal:  J Atheroscler Thromb       Date:  2019-09-20       Impact factor: 4.928

  3 in total

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