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Behcet's Disease with Active Uveitis: Detection of Serum Protein Biomarkers Using MALDI‐TOF‐MS

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Abstract

Behcet's Disease (BD) is a multisystem autoimmune disorder that lacks sensitive and specific diagnostic methods. The aim of this study was to identify potential biomarkers specific for BD and to establish a diagnostic model. Serum samples from patients with BD, Vogt‐Koyanagi‐Harada syndrome (VKH), and healthy controls (HC) were randomly divided into a training set (49 BD, 31 VKH, and 48 HC) and a testing set (13 BD, 10 VKH, and 11 HC). Proteomic mass spectra were generated by matrix‐assisted laser desorption ionization time‐of‐flight mass spectrometry (MALDI‐TOF‐MS). Thirty‐nine differential m/z peaks associated with BD were identified, and the m/z peaks at 1,644, 1,711, 2,023, 4,347, 6,628, and 8,559 were used to construct a model for the diagnosis of BD. This diagnostic model can distinguish BD from non‐BD controls with a sensitivity of 83.67% (41/49) and a specificity of 89.87% (71/79). BD was detected in our blinded testing set with good sensitivity and specificity of 84.6 and 90.48%, respectively. The results suggested that proteomic fingerprint technology combining magnetic beads with MALDI‐TOF‐MS has potential for the diagnosis of BD. The biomarker classification model was suitable for preliminary identification of BD and could potentially serve as a useful tool for BD diagnosis and differential diagnosis. Anat Rec, 2012. © 2012 Wiley Periodicals, Inc.
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Document Type: Research Article

Affiliations: 1: Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China 2: Clinical Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China 3: Department of Biophysics, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China

Publication date: 01 July 2012

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