Proteomics-based identification and validation of novel plasma biomarkers phospholipid transfer protein and mannan-binding lectin serine protease-1 in age-related macular degeneration

Authors
Kim, Hye-JungAhn, Seong JoonWoo, Se JoonHong, Hye KyoungSuh, Eui JinAhn, JeeyunPark, Ji HyunRyoo, Na-KyungLee, Ji EunKim, Ki WoongPark, Kyu HyungLee, Cheolju
Issue Date
2016-09-08
Publisher
NATURE PUBLISHING GROUP
Citation
SCIENTIFIC REPORTS, v.6
Abstract
Age-related macular degeneration (AMD) is a major cause of severe, progressive visual loss among the elderly. There are currently no established serological markers for the diagnosis of AMD. In this study, we carried out a large-scale quantitative proteomics analysis to identify plasma proteins that could serve as potential AMD biomarkers. We found that the plasma levels of phospholipid transfer protein (PLTP) and mannan-binding lectin serine protease (MASP)-1 were increased in AMD patients relative to controls. The receiver operating characteristic curve based on data from an independent set of AMD patients and healthy controls had an area under the curve of 0.936 for PLTP and 0.716 for MASP-1, revealing excellent discrimination between the two groups. A proteogenomic combination model that incorporated PLTP and MASP-1 along with two known risk genotypes of age-related maculopathy susceptibility 2 and complement factor H genes further enhanced discriminatory power. Additionally, PLTP and MASP-1 mRNA and protein expression levels were upregulated in retinal pigment epithelial cells upon exposure to oxidative stress in vitro. These results indicate that PLTP and MASP-1 can serve as plasma biomarkers for the early diagnosis and treatment of AMD, which is critical for preventing AMD-related blindness.
Keywords
HIGH-DENSITY-LIPOPROTEINS; PATHWAY ACTIVATION; MASP-1; EXPRESSION; HEALTH; IMPACT; PLTP; HIGH-DENSITY-LIPOPROTEINS; PATHWAY ACTIVATION; MASP-1; EXPRESSION; HEALTH; IMPACT; PLTP; Age-related macular degeneration (AMD); plasma proteins; biomarkers; quantitative proteomics analysis
ISSN
2045-2322
URI
https://pubs.kist.re.kr/handle/201004/123683
DOI
10.1038/srep32548
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KIST Article > 2016
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