June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Identification of three plasma protein biomarkers for age-related macular degeneration using a proteomic analysis
Author Affiliations & Notes
  • Se Joon Woo
    Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
  • Hye-Jung Kim
    Theragnosis Research Center, Korea Institute of Science and Technology, Seoul, Korea (the Republic of)
  • Jee yun Ahn
    Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea (the Republic of)
  • Seong Joon Ahn
    Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
  • Hye Kyoung Hong
    Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
  • Na-Kyung Ryoo
    Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
  • Kyu Hyung Park
    Ophthalmology, Seoul National University Bundang Hospital, Seongnam, Korea (the Republic of)
  • Cheolju Lee
    Theragnosis Research Center, Korea Institute of Science and Technology, Seoul, Korea (the Republic of)
  • Footnotes
    Commercial Relationships Se Joon Woo, PCT/KR2014/002523 (P); Hye-Jung Kim, PCT/KR2014/002523 (P); Jee yun Ahn, PCT/KR2014/002523 (P); Seong Joon Ahn, None; Hye Kyoung Hong, None; Na-Kyung Ryoo, None; Kyu Hyung Park, PCT/KR2014/002523 (P); Cheolju Lee, PCT/KR2014/002523 (P)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 798. doi:
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      Se Joon Woo, Hye-Jung Kim, Jee yun Ahn, Seong Joon Ahn, Hye Kyoung Hong, Na-Kyung Ryoo, Kyu Hyung Park, Cheolju Lee; Identification of three plasma protein biomarkers for age-related macular degeneration using a proteomic analysis. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):798.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: To identify plasma protein biomarkers for age-related macular degeneration (AMD) using a large-scale quantitative proteomic discovery procedure.

Methods: Plasma proteomes from 20 exudative AMD patients and 20 healthy control patients were comparatively profiled by 4-dimensional liquid chromatography-tandem mass spectrometry (LC-MS/MS). Proteins existing at statistically different levels were validated by enzyme-linked immunosorbent assay (ELISA) and western blotting in 233 and 160 case-controlled samples.

Results: Out of 320 proteins identified, 38 proteins were identified to be differentially expressed in AMD using a 4D protein profiling method. Further validation revealed vinculin, phospholipid transfer protein (PLTP), and mannose-associated serine protease 1 (MASP1) showed significantly higher concentrations in AMD patient plasma compared to control plasma. The AUC for discriminating between AMD and controls was 0.879 for vinculin (N=233), 0.923 for PLTP and 0.840 for MASP1 (N=160). However, the three plasma biomarkers were less useful in discriminating early from late AMD (AUC<0.750). A proteo-genomic combination model using vinculin and two known risk genotypes in ARMS2 and CFH genes additionally provided excellent discrimination of AMD from controls (AUC = 0.916). Additionally, vinculin was strongly expressed in retinal pigment epithelial cells of human eyes, and its expression was elevated when exposed to oxidative stress in vitro.

Conclusions: Vinculin, PLTP, and MASP1 were identified as potential plasma biomarkers for AMD. The early detection of AMD using novel plasma biomarkers may enable timely treatment and vision preservation in the elderly.

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