Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-172
Authors: Beutgen, Vanessa M.
Perumal, Natarajan
Pfeiffer, Norbert
Grus, Franz-Hermann
Title: Autoantibody biomarker discovery in primary open angle glaucoma using serological proteome analysis (SERPA)
Online publication date: 10-Jul-2019
Year of first publication: 2019
Language: english
Abstract: Glaucoma is an optic neurological disorder and the leading cause of irreversible blindness worldwide worldwide, with primary open angle glaucoma (POAG) as its most prevalent form. An early diagnosis of of the disease is crucial to prevent loss of vision. Mechanisms behind glaucoma pathogenesis are not completely understood, but disease related alterations in the serological autoantibody profile indicate indicate an immunologic component. These changes in immunoreactivity may serve as potential biomarkers biomarkers for glaucoma diagnostics. We aimed to identify novel disease related autoantibodies targeting targeting antigens in the trabecular meshwork as biomarkers to support early detection of POAG. We used used serological proteome analysis (SERPA) for initial autoantibody profiling in a discovery sample set set. The identified autoantibodies were validated by protein microarray analysis in a larger cohort with with 60 POAG patients and 45 control subjects. In this study, we discovered CALD1, PGAM1 and VDAC2 as as new biomarker candidates. With the use of artificial neural networks, the panel of these candidates candidates and the already known markers HSPD1 and VIM was able to classify subjects into POAG patients patients and healthy controls with a sensitivity of 81% and a specificity of 93%. These results suggest suggest the benefit of these potential autoantibody biomarkers in utilization in glaucoma diagnostics diagnostics.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-172
URN: urn:nbn:de:hebis:77-publ-591413
Version: Published version
Publication type: Zeitschriftenaufsatz
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Frontiers in immunology
10
Pages or article number: Art. 381
Publisher: Frontiers Media
Publisher place: Lausanne
Issue date: 2019
ISSN: 1664-3224
Publisher URL: http://dx.doi.org/10.3389/fimmu.2019.00381
Publisher DOI: 10.3389/fimmu.2019.00381
Appears in collections:JGU-Publikationen

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