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Expression profiles of genes involved in apoptosis and selenium metabolism in articular cartilage of patients with Kashin–Beck osteoarthritis

Wu, Shi-Xun, Wang, Wei-Zhuo, Zhang, Feng, Wu, Cui-Yan, Dennis, Bannel.S., Qu, Cheng-Juan, Bai, Yi-Dong, Guo, Xiong
Gene 2014 v.535 pp. 124-130
RNA, apoptosis, cartilage, computer software, gene expression, gene expression regulation, gene regulatory networks, genes, metabolism, microarray technology, osteoarthritis, pathogenesis, patients, quantitative polymerase chain reaction, selenium, signal transduction
Kashin–Beck disease (KBD) is a special type of endemic osteoarthritis. It has been suggested that alterations in selenium metabolism and apoptosis play a role in KBD. However, the underlying molecular mechanism remains largely unclear. We performed a microarray analysis using RNA isolated from cartilages of KBD patients and healthy controls, through Significance Analysis of Microarray (SAM) software. Functional gene networks and crucial molecules associated with differentially expressed genes were investigated via Ingenuity Pathway Analysis (IPA) and hub gene analysis. Quantitative real-time PCR was used to check the validation of chip test. We identified 52 up-regulated apoptosis-related genes and 26 down-regulated selenium-related genes between KBD and controls, and these genes associated with the “MYC-mediated apoptosis signaling pathway”. We confirmed the results from array studies with quantitative real-time PCR analysis. Our results suggest that abnormal regulation of selenium metabolism and apoptosis through the MYC mediated signaling pathway contributes to the pathogenesis of KBD, but the relationship between apoptosis gene and selenium gene was not found.