Zhu Weimin, Wang Daping, Lu Wei, Han Yun, Ou Yangkan, Zhou Ke, Peng Liangquan, Feng Wenzhe, Li Hao, Chen Qi, Zhang Kai, Zeng Yanjun, Zhang Xiaojun
Department of Sports Medicine, Second People's Hospital of Shenzhen, Shenzhen, Guangdong Province, China.
Artif Cells Blood Substit Immobil Biotechnol. 2012 Feb;40(1-2):70-4. doi: 10.3109/10731199.2011.592493. Epub 2011 Jul 15.
Primary osteoarthritis (OA) is a polygenic disease. To investigate the gene expression profile of cartilage and synovium from osteoarthritis and healthy rats using cDNA microarray is beneficial to recognize the pathogenesis of osteoarthritis and provide evidence for gene therapy of osteoarthritis.
The present study aimed to investigate the gene expression profile of the cartilage and synovium of chronic arthritis and healthy rats through cDNA microarray assay, and identify the differentially expressed genes. This study may be helpful for understanding the role of differentially expressed genes in osteoarthritis and the gene polymorphism of osteoarthritis.
A total of 24 male Wistar rats were randomly divided into control group and osteoarthritis group (n = 12 per group). The synovial and cartilage were obtained and total RNA was extracted. cDNA microarray assay was performed to identify the differentially expressed genes, and cluster analysis was conducted.
A total of 82 differentially expressed genes were identified, among which 27 were up-regulated and 55 down-regulated. Gene microarray assay is effective to identify differentially expressed genes and may find out novel osteoarthritis associated genes. Multiple genes are involved in the pathogenesis of osteoarthritis. The differentially expressed genes provide important information for further studies on the pathogenesis of osteoarthritis and gene therapy of osteoarthritis.
原发性骨关节炎（OA）是一种多基因疾病。采用cDNA微阵列技术研究骨关节炎大鼠与正常大鼠软骨及滑膜组织的基因表达谱，有助于认识骨关节炎的发病机制，为骨关节炎的基因治疗提供依据。
通过cDNA微阵列技术检测慢性关节炎大鼠及正常大鼠软骨及滑膜组织的基因表达谱，寻找差异表达基因，为进一步了解差异表达基因在骨关节炎中的作用及骨关节炎的基因多态性提供帮助。
选取24只雄性Wistar大鼠，随机分为正常对照组和骨关节炎组，每组12只。获取大鼠的滑膜和软骨组织，提取总RNA，采用cDNA微阵列技术检测差异表达基因，并进行聚类分析。
共筛选出82个差异表达基因，其中27个上调，55个下调。基因微阵列技术可有效筛选差异表达基因，可能发现新的骨关节炎相关基因。多个基因参与骨关节炎的发病机制，差异表达基因为进一步研究骨关节炎的发病机制及基因治疗提供了重要信息。
