Kato H, Matsumine A, Wakabayashi T, Hasegawa M, Sudo A, Shintani K, Fukuda A, Kato K, Ide N, Orita S, Hasegawa T, Matsumura C, Furukawa M, Tasaki T, Sonoda H, Uchida A
Department of Orthopedic Surgery, Mie University School of Medicine, Tsu-City, Mie, Japan.
Biomarkers. 2007 Jul-Aug;12(4):384-402. doi: 10.1080/13547500601162482.
Osteoarthritis (OA) is one of the most common age-related chronic disorders of articular cartilage, joints and bone tissue. Diagnosis of OA commonly depends on clinical and radiographic findings. However, changes in cartilage associated with the early stage of OA cannot be detected using radiographs, because significant cartilage degeneration must occur before radiographic findings show alterations of the appearance of cartilage. To identify new biomarkers of OA, we analysed gene expression profiles of synovium from 43 patients with OA, ten patients with rheumatoid arthritis (RA), and eight non-OA/non-RA patients using a novel cDNA microarray chip. We identified 21 genes with simultaneous significant differences in expression between OA and non-OA/non-RA groups and between OA and RA groups. Linear discriminant analysis showed that the three groups could be well separated using those 21 genes. Statistical analysis also revealed that several of the 21 genes were associated with disease progression and clinical presentation. The graphical modelling method indicated that some of the 21 genes are significantly associated with a particular clinical presentation, suggesting biological relationships among those genes. This is the first report of the use of cDNA microarray technology to create large-scale gene expression profiles differentially expressed in situ in OA synovium of the knee joint.
骨关节炎（OA）是最常见的与年龄相关的关节软骨、关节和骨组织慢性疾病之一。OA的诊断通常取决于临床和影像学检查结果。然而，由于在影像学检查结果显示软骨外观改变之前，必须发生显著的软骨退变，所以使用X线片无法检测出与OA早期相关的软骨变化。为了鉴定OA的新生物标志物，我们使用一种新型cDNA微阵列芯片分析了43例OA患者、10例类风湿关节炎（RA）患者和8例非OA/非RA患者滑膜的基因表达谱。我们鉴定出21个基因，其在OA组与非OA/非RA组之间以及OA组与RA组之间的表达同时存在显著差异。线性判别分析表明，使用这21个基因可以很好地区分这三组。统计分析还显示，这21个基因中的几个与疾病进展和临床表现相关。图形建模方法表明，这21个基因中的一些与特定的临床表现显著相关，提示这些基因之间存在生物学关系。这是首次报道使用cDNA微阵列技术创建膝关节OA滑膜原位差异表达的大规模基因表达谱。
