June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Proteomics of Vitreous Humor in Age-related Macular Degeneration
Author Affiliations & Notes
  • Matthias Nobl
    Department of Ophthalmology, University Hospital, Heidelberg, Germany
  • Michael Reich
    Department of Ophthalmology, University Hospital, Heidelberg, Germany
  • Ivanka Dacheva
    Department of Ophthalmology, University Hospital, Heidelberg, Germany
  • Frank H J Koch
    Retina and Vitreous Unit, University Eye Clinic, Frankfurt/Main, Germany
  • Gerd Auffarth
    Department of Ophthalmology, University Hospital, Heidelberg, Germany
  • Michael J Koss
    Ophthalmology, University of Southern California, Los Angeles, CA
    Department of Ophthalmology, University Hospital, Heidelberg, Germany
  • Footnotes
    Commercial Relationships Matthias Nobl, None; Michael Reich, None; Ivanka Dacheva, None; Frank Koch, Insight Instruments (R); Gerd Auffarth, Novartis (R); Michael Koss, Carl Zeiss Meditech (R), Insight Instruments (R), Novartis (R), Roche (C)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 817. doi:
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      Matthias Nobl, Michael Reich, Ivanka Dacheva, Frank H J Koch, Gerd Auffarth, Michael J Koss; Proteomics of Vitreous Humor in Age-related Macular Degeneration. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):817.

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

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Abstract

Purpose: Pathogenesis of Age-related Macular Degeneration (AMD) is a complex, poorly understood interaction of multiple factors. We performed a clinical-experimental study to identify potential future biomarkers and new targets of therapy.

Methods: Vitreous samples of patients with AMD (sample group, n=108) or idiopathic floaters (control group, n=26) were analyzed. Patients with systemic diabetes, nephropathy, uncontrolled hypertension or diabetic retinopathy were excluded. Samples were taken via a 23 gauge single-site core vitrectomy. After tryptic digestion analysis was performed using capillary electrophoresis coupled online to a time-of-flight mass spectrometer, as well as tandem mass spectrometry. Significant peptides were determined by comparing AMD-samples with samples of the controls and then matched to corresponding proteins. Gene Ontology-Terms (GO-Terms) were assigned to every IPI number via WebGestalt (WEB-base Gene SeT AnaLysis Toolkit). Three main categories were formed: Biological Process, Cellular Component and Molecular Function. For statistical analysis Wilcoxon-Mann-Whitney Test was used. A P value of α<0.05 was considered statistically significant.

Results: In our analysis 878 successfully sequenced peptides were detected, relating to 136 proteins. 50 proteins, composed of 116 peptides, were expressed significantly different between sample and control group (P=3,48E-8 to 4,91E-2). 42 proteins could be analyzed via WebGestalt. In the following most frequent GO-Terms of the three formed main categories are listed. Biological Process: response to stimulus (n=33), multicellular organismal process (33), biological regulation (28). Cellular component: extracellular space (23), membrane-enclosed lumen (17), extracellular matrix (13). Molecular Function: protein binding (26), structural molecule activity (14), enzyme regulator activity (13).

Conclusions: In this descriptive study we could confirm up- or down regulated proteins in patients with AMD by using one of the highest number of samples in literature. Proteins assigned to the most common GO-Terms may have an important function in the pathogenesis of AMD.

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