Authors: Xiaohua Pan Liling Huang Jiakai Chen Yong Dai Xiaofen Chen
Publish Date: 2011/04/21
Volume: 36, Issue: 1, Pages: 57-64
Abstract
The purpose of this study was to use matrixassisted laser desorption/ionization timeofflight mass spectrometry MALDITOFMS in osteoarthritis research Our aim was to find differentially expressed diseaserelated and conditionspecific peptide in synovial fluid in the knee joint of patients suffering from osteoarthritis OA and to develop and validate the peptide classification model for OA diagnosisBased on the American College of Rheumatology criteria 30 OA cases and ten healthy donors were enrolled and underwent analysis Magnetic beadsbased weak cation exchange chromatography MBWCX was performed for sample processing and matrixassisted laser desorption/ionization timeofflight mass spectrometry MALDITOFMS was conducted for peptide profile ClinProt software 22 was used for data analysis and a genetic algorithm was created for class predictionTwo peptide peaks were found which may be characterised as the potential diagnostic markers for OA Two other significantly different peptide peaks were found in OA patients at a medium stage compared to the early and late stages A genetic algorithm GA was used to establish differential diagnosis models of OA As a result the algorithm models marked 100 of OA and of 9792 of mediumstage OAWe thank the patients for donating the samples to the study and the hospital staff who made this study possible We thank Dr Dai in the Clinical Medical Research Centre and the other members of his laboratory team for the processing of patient samples In addition we thank all of the study group members Liling Huang Yong Dai Jiakai Chen Xiaofen Chen Department of Orthopedics and Traumatology The Second Clinical Medical College of Jinan University Shenzhen Guangdong Province ChinaAll authors were involved in drafting the article or revising it critically for important intellectual content and all authors approved the final version to be published Dr Dai had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis Study conception and design Xiaohua Pan and Yong Dai Acquisition of data Xiaohua Pan Jiakai Chen and Xiaofen Chen Analysis and interpretation of data Xiaohua Pan and Liling Huang
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