| Mass spectrometry-based proteomic analysis of Kashin-Beck disease |
Authors: Jianqiang Du, Xiaomin Wu, Huqin Zhang, Shuang Wang, Wuhong Tan, Xiong Guo |
Affiliations: Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, 710061 Xi'an, P.R. China, Department of Orthodontics, Stomatological Hospital, College of Medicine, Xi'an Jiaotong University, 710061 Xi'an, P.R. China, Department of Orthodontics, Stomatological Hospital, College of Medicine, Xi'an Jiaotong University, 710061 Xi'an, P.R. China, Department of Public Health, School of Medicine, Xi'an Jiaotong University, 710061 Xi'an, P.R. China |
Published online on: Thursday, July 8, 2010 |
Doi: 10.3892/mmr.2010.327 |
Pages: 821-824 |
Abstract:Kashin-Beck disease (KBD) is a degenerative osteoarticular disease of unknown etiology. The management of KBD would benefit from the identification of the biomarkers related to this disease. In this study, mass spectrometry (MS)-based proteomic profiling was used to identify potential biomarkers of the disease. One hundred and sixteen serum samples of KBD cases and healthy controls were collected and analyzed. A framework for data analysis was implemented, which included normalization, denoising using undecimated discrete wavelet transforms, baseline subtraction, peak detection and alignment, non-parametric testing and classification by support vector machine. The method identified correlative mass points and obtained a discriminative pattern with 90.91% sensitivity and 82.61% specificity. The results of this study, although preliminary, suggest that further proteomics study may be useful with a larger number of appropriate specimens, careful experiment manipulation and improved MS techniques. |
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