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Subfractions and Subpopulations of HDL: An Update

抗血栓 胆固醇逆向转运 蛋白质组 高密度脂蛋白 脂蛋白 胆固醇 生物标志物 炎症 化学 生物化学 计算生物学 医学 生物 内科学
作者
Manfredi Rizzo,James D. Otvos,Dragana Nikolic,Giuseppe Montalto,Peter P. Toth,Maciej Banach
出处
期刊:Current Medicinal Chemistry [Bentham Science]
卷期号:21 (25): 2881-2891 被引量:70
标识
DOI:10.2174/0929867321666140414103455
摘要

High-density lipoproteins (HDL) are classified as atheroprotective because they are involved in transport of cholesterol to the liver, known as “reverse cholesterol transport (RCT)” exerting antioxidant and anti-inflammatory activities. There is also evidence for cytoprotective, vasodilatory, antithrombotic, and anti-infectious activities for these lipoproteins. HDLs are known by structural, metabolic and biologic heterogeneity. Thus, different methods are able to distinguish several subclasses of HDL. Different separation techniques appear to support different HDL fractions as being atheroprotective or related with lower cardiovascular (CV) risk. However, HDL particles are not always protective. Modification of constituents of HDL particles (primarily in proteins and lipids) can lead to the decrease in their activity and induce proatherogenic properties, especially when isolated from patients with augmented systemic inflammation. According to available studies, it seems that HDL functionality may be a better therapeutic target than HDL cholesterol quantity; however, it is still disputable which subfractions are most beneficial. There is mounting evidence supporting HDL subclasses as an important biomarker to predict and/or reduce CV risk. In this review we discuss recent notices on atheroprotective and functional characteristic of different HDL subfractions. Also, we provide a brief overview of the different methods used by clinicians and researchers to separate HDL subfractions. Ongoing and future investigations will yield important new information if any given separation method might represent a ‘gold standard’, and which subfractions are reliable markers of CV risk and/or potential targets of novel, more focused, and effective therapies. Keywords: Cardiovascular risk, electrophoresis, high-density lipoprotein, nuclear magnetic resonance, proteome, subclasses, subfractions, ultracentrifugation.
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