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- Quantifying HDL proteins by mass spectrometry: how many proteins are there and what are their functions?
Quantifying HDL proteins by mass spectrometry: how many proteins are there and what are their functions?
Citation | “Quantifying Hdl Proteins By Mass Spectrometry: How Many Proteins Are There And What Are Their Functions?”. Expert Review Of Proteomics, pp. 31-40. . |
Center | University of Washington |
Author | Baohai Shao, Jay W Heinecke |
Keywords | Apolipoprotein A-I, biomarker, dysfunctional HDL, lipid-lowering therapy, parallel reaction monitoring, renal disease, selected reaction monitoring, shotgun proteomics |
Abstract |
INTRODUCTION: Many lines of evidence indicate that low levels of HDL cholesterol increase the risk of cardiovascular disease (CVD). However, recent clinical studies of statin-treated subjects with established atherosclerosis cast doubt on the hypothesis that elevating HDL cholesterol levels reduces CVD risk. Areas covered: It is critical to identify new HDL metrics that capture HDL's proposed cardioprotective effects. One promising approach is quantitative MS/MS-based HDL proteomics. This article focuses on recent studies of the feasibility and challenges of using this strategy in translational studies. It also discusses how lipid-lowering therapy and renal disease alter HDL's functions and proteome, and how HDL might serve as a platform for binding proteins with specific functional properties. Expert commentary: It is clear that HDL has a diverse protein cargo and that its functions extend well beyond its classic role in lipid transport and reverse cholesterol transport. MS/MS analysis has demonstrated that HDL might contain >80 different proteins. Key challenges are demonstrating that these proteins truly associate with HDL, are functionally important, and that MS-based HDL proteomics can reproducibly detect biomarkers in translational studies of disease risk. |
Year of Publication |
2018
|
Journal |
Expert review of proteomics
|
Volume |
15
|
Issue |
1
|
Number of Pages |
31-40
|
Date Published |
12/2018
|
ISSN Number |
1744-8387
|
DOI |
10.1080/14789450.2018.1402680
|
Alternate Journal |
Expert Rev Proteomics
|
PMID |
29113513
|
PMCID |
PMC5875915
|
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