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Natarajan Perumal, Sebastian Funke, Marco Kegel, Maya Scieranski, Norbert Pfeiffer, Franz H Grus; In-depth protein profiling and identification of tear fluid biomarkers in the glaucomatous eye. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):3656.
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© ARVO (1962-2015); The Authors (2016-present)
Glaucoma is a neurodegenerative ocular disease and one of the primary causes of blindness. Biomarker discovery in the tears of glaucomatous eye is still limited, which deters the development of improved diagnosis and subsequent prognosis of the disease. Therefore, the main objective of this study was to unravel the intricate human tear proteome regulation profiles of glaucoma patients and compared to that of dry eye and healthy donors employing the proteomics platform.
Eighty patients were recruited and subdivided into glaucoma patients (GLM; N=20), aqueous-deficient dry eye (DRYaq; N=20), a combination of the two diseases (GLM_DRYaq) and healthy subjects (CTRL; N=20). Tear samples were collected using Schirmer's strips. The tear proteome profiles were analyzed employing label-free mass spectrometry-based proteomics strategies for discovery and verification stages, with integration of state-of-the-art bioinformatics tool.
Generally, there were only slight differences in the tear proteome of GLM compared to the CTRL group. Fifteen potential biomarkers for glaucoma were identified from the total of 205 tear proteins. Majority of these proteins involved in immune, inflammatory & apoptosis responses. Conversely, decrement of lacrimal gland-specific proteins and increment of inflammatory proteins were observed in DRYaq and GLM_DRYaq compared to the CTRL group.
The present study demonstrated that specific alterations in the tear proteome are associated with the glaucomatous eye. These outcomes, when extrapolated to clinical application, can provide invaluable hints on development of specific diagnostic tool for clinical tests and are of great importance for the prognosis of the disease.
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