High density lipoprotein proteome is associated with cardiovascular risk factors and atherosclerosis burden as evaluated by coronary CT angiography

被引:42
|
作者
Gordon, Scott M. [1 ]
Chung, Jonathan H. [2 ]
Playford, Martin P. [2 ]
Dey, Amit K. [2 ]
Sviridov, Denis [1 ]
Seifuddin, Fayaz [3 ]
Chen, Yun-Ching [3 ]
Pirooznia, Mehdi [3 ]
Chen, Marcus Y. [4 ]
Mehta, Nehal N. [2 ]
Remaley, Alan T. [1 ]
机构
[1] NHLBI, Lipoprot Metab Sect, Bldg 10, Bethesda, MD 20892 USA
[2] NHLBI, Sect Inflammat & Cardiometab Dis, Bldg 10, Bethesda, MD 20892 USA
[3] NHLBI, Bioinformat & Computat Biol Core Facil, Bldg 10, Bethesda, MD 20892 USA
[4] NHLBI, Adv Cardiovasc Imaging Lab, Bldg 10, Bethesda, MD 20892 USA
关键词
High density lipoprotein; Cholesterol efflux; Computed tomography angiography; Proteomics; Atherosclerosis; CHOLESTEROL EFFLUX CAPACITY; ANTIMICROBIAL PEPTIDE LL-37; APOLIPOPROTEIN-A-I; ANTIINFLAMMATORY PROPERTIES; PLAQUE CHARACTERIZATION; HDL CHOLESTEROL; VITAMIN-D; CALCIUM; EVENTS; CALCIFICATION;
D O I
10.1016/j.atherosclerosis.2018.09.032
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and aims: High density lipoprotein cholesterol (HDL-C) is associated with risk of cardiovascular disease (CVD); however, therapeutic manipulations of HDL-C have failed to reduce CVD events. This suggests that HDL-C and the atheroprotective capacity of HDL are not directly linked. The goal of this study was to evaluate the relationships between HDL-bound proteins and measures of atherosclerosis burden and HDL function. Methods: The HDL proteome was analyzed using mass spectrometry in 126 human subjects, who had undergone coronary computed tomography angiography (CCTA) to quantify calcified (CB) and non-calcified (NCB) atherosclerosis burden. Partial least squares regression analysis was used to evaluate associations between HDL-bound proteins and CB, NCB, or cholesterol efflux capacity (CEC). Results: Significant overlap was found among proteins associated with NCB and CEC. Proteins that were associated with NCB displayed an inverse relationship with CEC, supporting a link between this protective function of HDL and clinical plaque burden. CB was associated with a set of proteins mostly distinct from NCB and CEC. When CVD risk factors were evaluated, BMI had a stronger influence on important HDL proteins than gender, age, or HDL-C. Most HDL proteins associated with function or atherosclerosis burden were not significantly correlated with HDL-C. ConclusionsA These findings indicate that the HDL proteome contains information not captured by HDL-C and, therefore, has potential for future development as a biomarker for CVD risk. Additionally, the proteome effects detected in this study may provide HDL compositional goals for evaluating new and existing HDL-modification therapies.
引用
收藏
页码:278 / 285
页数:8
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