Meulenbelt I, Kloppenburg M, Kroon H M, Houwing-Duistermaat J J, Garnero P, Hellio-Le Graverand M-P, DeGroot J, Slagboom P E
Department of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands.
Osteoarthritis Cartilage. 2007 Apr;15(4):379-85. doi: 10.1016/j.joca.2006.09.007. Epub 2006 Oct 17.
To assess the relationship of biochemical markers and radiographic signs of osteoarthritis (ROA) in the subjects with symptomatic osteoarthritis (OA) at multiple sites of the Genetics osteoARthritis and Progression (GARP) study.
We have measured eight biochemical markers, representing tissue turnover of cartilage, bone, synovium, and inflammation. ROA was assessed in the knees, hips, hands, vertebral facet joints and spinal disc degeneration (DD) by using the Kellgren score. A proportionate score was subsequently made for each joint location based on the number of joints with ROA. Principal component and linear mixed model analyses were applied to analyze the data.
Three different clusters of markers were identified that may reflect different pathophysiological processes of OA. The first component appeared to be reflected by structural markers of cartilage and bone turnover and associated especially in subjects with hip ROA. The second component was reflected by a marker of inflammation and was associated with knee ROA, high Western Ontario and McMaster Universities (WOMAC) scores and body mass index (BMI). The third component included markers of cartilage turnover and was associated with ROA at hands, spine as well as age. High familial aggregation was observed for serum cartilage oligomeric matrix protein (S-COMP) (70%) and serum N-propeptide of collagen type IIA (S-PIIANP) (62%).
Using a large well-characterized study and eight biochemical markers, we were able to observe three components that may reflect different molecular mechanisms (bone, cartilage, synovium turnover and inflammation). Our data suggested that these components contribute differently to ROA at different joint sites.
在遗传性骨关节炎及其进展(GARP)研究的多部位症状性骨关节炎(OA)受试者中,评估骨关节炎的生化标志物与影像学表现(ROA)之间的关系。
我们测量了八个生化标志物,代表软骨、骨、滑膜的组织更新及炎症情况。通过使用凯尔格伦评分法对膝、髋、手、脊椎小关节和椎间盘退变(DD)进行ROA评估。随后根据存在ROA的关节数量为每个关节部位计算一个比例分数。应用主成分分析和线性混合模型分析数据。
识别出三个不同的标志物簇,可能反映OA不同的病理生理过程。第一个成分似乎由软骨和骨更新的结构标志物反映,尤其与髋部ROA受试者相关。第二个成分由炎症标志物反映,与膝部ROA、高西安大略和麦克马斯特大学骨关节炎指数(WOMAC)评分及体重指数(BMI)相关。第三个成分包括软骨更新标志物,与手部、脊柱的ROA以及年龄相关。血清软骨寡聚基质蛋白(S-COMP)(70%)和血清IIA型胶原N-端前肽(S-PIIANP)(62%)存在高家族聚集性。
通过一项大规模特征明确的研究及八个生化标志物,我们能够观察到可能反映不同分子机制(骨、软骨、滑膜更新及炎症)的三个成分。我们的数据表明,这些成分在不同关节部位对ROA的影响不同。