Gene Expression Profiling Studies Using Microarray in Osteoarthritis: Genes in Common and Different Conditions

被引:0
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作者
Weidong Liu
Yan Jiao
Cheng Tian
Karen Hasty
Lijie Song
Derek M. Kelly
Jianwei Li
Hong Chen
Weikuan Gu
Songjiang Liu
机构
[1] The First Hospital of Qiqihaer City,Department of Orthopedic Surgery
[2] University of Tennessee Health Science Center,Department of Orthopedic Surgery and BME
[3] Research Service 151,Campbell Clinic
[4] VA Medical Center,undefined
[5] First Affiliated Hospital,undefined
[6] Heilongjiang University of Chinese Medicine,undefined
关键词
Osteoarthritis; Gene expression profiles; Articular cartilage; Subchondral bone; Synovium;
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摘要
Osteoarthritis (OA), which is characterized mainly by cartilage degradation, is the most prevalent joint disorder worldwide. Although OA is identified as a major cause of joint pain, disability, and socioeconomic burden, the etiology of OA is still not clearly known. Recently, gene microarray analysis has become an efficient method for the research of complex diseases and has been employed to determine what genes and pathways are involved in the pathological process of OA. In this review, OA study results over the last decade are summarized for gene expression profiling of various tissues, such as cartilage, subchondral bone, and synovium in human OA and mouse OA models. Many differentially expressed genes, which mainly involve matrix metabolism, bone turnover, and inflammation pathways, were identified in diseased compared with “normal” tissues. Nevertheless, rare common genes were reported from studies using different tissue sources, microarray chips, and research designs. Thus, future novel and carefully designed microarray studies are required to elucidate underlying genetic mechanisms in the pathogenesis of OA as well as new directions for potential OA-targeted pharmaceutical therapies.
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