Literature DB >> 30771558

HDL cholesterol and ASCVD risk stratification: A debate.

Philip Barter1, Jacques Genest2.   

Abstract

This debate is designed to review the usefulness of the cholesterol mass within high-density lipoproteins (HDL-C) to predict the risk of atherosclerotic cardiovascular disease (ASCVD). PRO: There is much current confusion regarding the role of high density lipoproteins (HDLs) in atherosclerotic cardiovascular disease (ASCVD). While it is an established fact that the concentration of HDL cholesterol is a robust, independent, inverse predictor of the risk of having an ASCVD event, recent studies have questioned whether HDLs actually protect against ASCVD. But this in no way challenges that fact that the concentration of HDL cholesterol is a powerful tool to be used in risk stratification of ASCVD. CON: The measurement of HDL-C in the 1970 heralded a new area of promising and exciting research in cardiovascular disease. The measurement of HDL-C has been part of cardiovascular risk stratification for the past three decades. HDL have pleotropic beneficial effects on the arterial vasculature and promote the removal of excess cholesterol from lipid laden macrophages. These effects are only weakly correlated with HDL-C levels. While HDL-C is associated with atherosclerotic cardiovascular disease, the epidemiological relationship falters at the extremes of measurement. Mendelian randomization does not support a link of causality and to date, attempts to raise HDL-C pharmacologically have not yielded the expected outcomes. The time has come to consider abandoning HDL-C for cardiovascular risk prediction and clinical decision making and to double efforts to develop better biomarkers of HDL function.
Copyright © 2019 Elsevier B.V. All rights reserved.

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Year:  2019        PMID: 30771558     DOI: 10.1016/j.atherosclerosis.2019.01.001

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  17 in total

Review 1.  HDL therapy today: from atherosclerosis, to stent compatibility to heart failure.

Authors:  C R Sirtori; M Ruscica; L Calabresi; G Chiesa; R Giovannoni; J J Badimon
Journal:  Ann Med       Date:  2019 Nov - Dec       Impact factor: 4.709

Review 2.  The HDL Proteome Watch: Compilation of studies leads to new insights on HDL function.

Authors:  W Sean Davidson; Amy S Shah; Hannah Sexmith; Scott M Gordon
Journal:  Biochim Biophys Acta Mol Cell Biol Lipids       Date:  2021-11-18       Impact factor: 4.698

3.  Predictive value of LDL/HDL ratio in coronary atherosclerotic heart disease.

Authors:  Ting Sun; Mengyun Chen; Huanhuan Shen; Li Fan; Xin Chen; Jun Wu; Zuojun Xu; Junfeng Zhang
Journal:  BMC Cardiovasc Disord       Date:  2022-06-17       Impact factor: 2.174

Review 4.  Triglyceride and Triglyceride-Rich Lipoproteins in Atherosclerosis.

Authors:  Bai-Hui Zhang; Fan Yin; Ya-Nan Qiao; Shou-Dong Guo
Journal:  Front Mol Biosci       Date:  2022-05-25

5.  Oxidized Lipids and Lipoprotein Dysfunction in Psoriasis.

Authors:  Alexander V Sorokin; Alan T Remaley; Nehal N Mehta
Journal:  J Psoriasis Psoriatic Arthritis       Date:  2020-08-26

6.  Association Between Atherosclerosis and Diabetic Retinopathy in Chinese Patients with Type 2 Diabetes Mellitus.

Authors:  Chenghui Zhang; Suyuan Wang; Mingxia Li; Yunhong Wu
Journal:  Diabetes Metab Syndr Obes       Date:  2020-06-08       Impact factor: 3.168

7.  Hydroxytyrosol Plays Antiatherosclerotic Effects through Regulating Lipid Metabolism via Inhibiting the p38 Signal Pathway.

Authors:  Xinxin Zhang; Yating Qin; Xiaoning Wan; Hao Liu; Chao Iv; Weibin Ruan; Li Lu; Lin He; Xiaomei Guo
Journal:  Biomed Res Int       Date:  2020-06-22       Impact factor: 3.411

8.  Anti-obesity effects of Spirulina platensis protein hydrolysate by modulating brain-liver axis in high-fat diet fed mice.

Authors:  Bingli Zhao; Yujiao Cui; Xiaodan Fan; Ping Qi; Chunchen Liu; Xuesong Zhou; Xuewu Zhang
Journal:  PLoS One       Date:  2019-06-20       Impact factor: 3.240

9.  ApoA-I deficiency increases cortical amyloid deposition, cerebral amyloid angiopathy, cortical and hippocampal astrogliosis, and amyloid-associated astrocyte reactivity in APP/PS1 mice.

Authors:  Emily B Button; Guilaine K Boyce; Anna Wilkinson; Sophie Stukas; Arooj Hayat; Jianjia Fan; Brennan J Wadsworth; Jerome Robert; Kris M Martens; Cheryl L Wellington
Journal:  Alzheimers Res Ther       Date:  2019-05-13       Impact factor: 6.982

10.  An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics.

Authors:  Xiaofeng Zhu; Xiaoyin Li; Rong Xu; Tao Wang
Journal:  Bioinformatics       Date:  2021-06-16       Impact factor: 6.937

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