Quantifying HDL proteins by mass spectrometry: how many proteins are there and what are their functions?
| Citation | Shao, Baohai, and Jay W Heinecke. “Quantifying HDL Proteins by Mass Spectrometry: How Many Proteins Are There and What Are Their Functions?”. 2018. Expert Review of Proteomics, vol. 15, no. 1, 2018, 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
|
| PMCID |
PMC5875915
|
| PMID |
29113513
|
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