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Article

Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis

1
School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, No. 76 Yanta West Road, Xi'an 710061, China
2
National Engineering Research Center for Miniaturized Detection Systems, Northwest University, Xi'an 710069, China
3
Department of Integrative Medical Biology, University of Umea, 901 87 Umeå, Sweden
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Camile S. Farah
Int. J. Mol. Sci. 2015, 16(5), 11465-11481; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms160511465
Received: 15 April 2015 / Revised: 3 May 2015 / Accepted: 5 May 2015 / Published: 19 May 2015
(This article belongs to the Special Issue Emerging Classes of Biomarkers for Molecular Diagnostics)
Kashin-Beck Disease (KBD) is an endemic osteochondropathy with an unknown pathogenesis. Diagnosis of KBD is effective only in advanced cases, which eliminates the possibility of early treatment and leads to an inevitable exacerbation of symptoms. Therefore, we aim to identify an accurate blood-based gene signature for the detection of KBD. Previously published gene expression profile data on cartilage and peripheral blood mononuclear cells (PBMCs) from adults with KBD were compared to select potential target genes. Microarray analysis was conducted to evaluate the expression of the target genes in a cohort of 100 KBD patients and 100 healthy controls. A gene expression signature was identified using a training set, which was subsequently validated using an independent test set with a minimum redundancy maximum relevance (mRMR) algorithm and support vector machine (SVM) algorithm. Fifty unique genes were differentially expressed between KBD patients and healthy controls. A 20-gene signature was identified that distinguished between KBD patients and controls with 90% accuracy, 85% sensitivity, and 95% specificity. This study identified a 20-gene signature that accurately distinguishes between patients with KBD and controls using peripheral blood samples. These results promote the further development of blood-based genetic biomarkers for detection of KBD. View Full-Text
Keywords: Kashin-Beck disease; microarray; peripheral blood mononuclear cells; gene expression signature Kashin-Beck disease; microarray; peripheral blood mononuclear cells; gene expression signature
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MDPI and ACS Style

Wang, X.; Ning, Y.; Zhang, F.; Yu, F.; Tan, W.; Lei, Y.; Wu, C.; Zheng, J.; Wang, S.; Yu, H.; Li, Z.; Lammi, M.J.; Guo, X. Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis. Int. J. Mol. Sci. 2015, 16, 11465-11481. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms160511465

AMA Style

Wang X, Ning Y, Zhang F, Yu F, Tan W, Lei Y, Wu C, Zheng J, Wang S, Yu H, Li Z, Lammi MJ, Guo X. Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis. International Journal of Molecular Sciences. 2015; 16(5):11465-11481. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms160511465

Chicago/Turabian Style

Wang, Xi, Yujie Ning, Feng Zhang, Fangfang Yu, Wuhong Tan, Yanxia Lei, Cuiyan Wu, Jingjing Zheng, Sen Wang, Hanjie Yu, Zheng Li, Mikko J. Lammi, and Xiong Guo. 2015. "Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis" International Journal of Molecular Sciences 16, no. 5: 11465-11481. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms160511465

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