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骨关节炎中的生物标志物

Biological markers in osteoarthritis.

作者信息

Rousseau Jean-Charles, Delmas Pierre D

机构信息

INSERM Research Unit on the Pathophysiology of Osteoporosis, Lyon, France.

出版信息

Nat Clin Pract Rheumatol. 2007 Jun;3(6):346-56. doi: 10.1038/ncprheum0508.

Abstract

Osteoarthritis (OA) is a progressive disorder characterized by destruction of articular cartilage and subchondral bone, and by synovial changes. The diagnosis of OA is generally based on clinical and radiographic changes, which occur fairly late during disease progression and have poor sensitivity for monitoring disease progression. Progression of joint damage is likely to result primarily from an imbalance between cartilage degradation and repair, so measuring markers of these processes would seem a promising approach to improve the prediction of disease progression at the individual level. Moreover, genetic markers might be useful predictors of prognosis. The lack of fully effective, chondroprotective medications has limited the use of such potential markers to monitor the effect of treatment for OA. Nevertheless, owing to their dynamic changes in response to treatment, biological markers might provide relevant information more rapidly than imaging techniques (such as radiography and MRI) can, and should contribute to our understanding of mechanisms that underlie the clinical efficacy of OA treatments. Most of the identified genes involved in OA encode signal-transduction proteins, which provide the potential for novel therapeutic approaches. In this Review, we will use the recently proposed BIPED (i.e. burden of disease, investigative, prognostic, efficacy of intervention and diagnostic) classification of OA markers to describe the potential usage of a given marker.

摘要

骨关节炎(OA)是一种进行性疾病,其特征为关节软骨和软骨下骨破坏以及滑膜改变。OA的诊断通常基于临床和影像学变化,这些变化在疾病进展过程中出现得较晚,且对监测疾病进展的敏感性较差。关节损伤的进展可能主要源于软骨降解与修复之间的失衡,因此测量这些过程的标志物似乎是一种有前景的方法,可用于改善个体水平上疾病进展的预测。此外,基因标志物可能是预后的有用预测指标。缺乏完全有效的软骨保护药物限制了使用此类潜在标志物来监测OA治疗效果。然而,由于生物标志物在对治疗的反应中会发生动态变化,它们可能比成像技术(如X线摄影和MRI)更快地提供相关信息,并且应该有助于我们理解OA治疗临床疗效的潜在机制。大多数已确定的与OA相关的基因编码信号转导蛋白,这为新的治疗方法提供了潜力。在本综述中,我们将使用最近提出的OA标志物的BIPED(即疾病负担、研究、预后、干预效果和诊断)分类来描述特定标志物的潜在用途。

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