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104. Jahrestagung der Deutschen Ophthalmologischen Gesellschaft 2006
Abstract
Abstract
SA.17.03 Proteomic profiling of sera for biomarker for glaucoma Grus F. H., Thiel U., Wiegel N., Berneiser S., Pfeiffer N.
Department of Ophthalomology, University of Mainz, Germany Objective: Glaucoma is one of the leading causes for blindness in the world. The glaucoma disease is characterized by a progressive loss of retinal ganglion cells. An elevated intraocular pressure, although associated with glaucoma, cannot explain the disease in all patients. Proteomic profiling studies e.g. by ProteinChips (Seldi-TOF) can improve the understanding of the pathogenesis of disease processes and can lead to earlier diagnosis. The aim of this study was to search for serum biomarkers for glaucoma using the SELDI ProteinChip Technology.
Methods: Sera of patients (n=40) (healthy volunteers (CTRL), primary-open-angle-glaucoma (POAG), ocular-hypertension (OHT), and normal-tension-glaucoma (NTG)) were fractionated on an anion exchange resin using stepwise pH gradients, and subsequently analyzed on three different types of ProteinChip arrays. Proteins which bound to the surface were detected by surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Peak mass and normalized intensity were used for statistical analysis.
Results: Complex protein patterns were found in all patients. 2427 protein clusters were identified across the three different chip surfaces, fractions, and laser energy settings. Multivariate analysis of discriminance can test for statistical differences between the subgroups using the entire complex staining pattern for the calculation. The method successfully found a significant difference between all subgroups. Based on an 8 biomarker panel including the most significant biomarkers between all groups, the articifical neural network was able to differentiate between the groups with a sensitivity and specificity of more than 90%.
Conclusions: This study could detect more than 2400 proteins in the sera of glaucoma patients. From these, a panel of 8 potential biomarkers could be selected, which might be useful for glaucoma detection or could lead to novel drug targets in future.
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