Department of Epidemiology and Preventive Medicine, Monash University Medical School, Alfred Hospital, Prahran, Victoria, Australia.
Ann Rheum Dis. 2010 Oct;69(10):1816-22. doi: 10.1136/ard.2009.124420. Epub 2010 Jun 15.
Biomarkers of cartilage metabolism have prognostic potential.
To examine whether serum cartilage biomarkers, cartilage oligomeric matrix protein (COMP), N-propeptide of type IIA procollagen (PIIANP), type II collagen breakdown product (collagen type-II cleavage (C2C)) predict cartilage volume loss and knee joint replacement.
117 subjects with knee osteoarthritis (OA) had MRI at baseline and 2 years. Cartilage biomarkers were measured at baseline. Change in knee cartilage volume over 2 years and knee joint replacement over 4 years was determined. The population was divided into subgroups with high or low cartilage biomarkers (based on biomarker levels greater than or equal to, or less than, the mean, respectively). The relationships between biomarkers and outcome measures were examined in the whole population, and separately in marker subgroups.
The relationship between cartilage biomarkers and cartilage volume loss was not linear across the whole population. In the low (regression coefficient B=-9.7, 95% CI -0.01 to 0.003, p=0.01), but not high (B=-0.46, 95% CI -8.9 to 8.0, p=0.92) COMP subgroup, COMP was significantly associated with a reduced rate of medial cartilage volume loss (p for difference between groups=0.05). Similarly, in the low (B=-8.2, 95% CI -12.9 to -3.5, p=0.001) but not high (B=2.6, 95% CI -3.3 to 8.5, p=0.38) PIIANP subgroup, PIIANP was associated with a significantly reduced rate of medial volume cartilage loss (p for difference=0.003). C2C was not significantly associated with rate of cartilage volume loss. PIIANP was associated with a reduced risk of joint replacement (odds ratio (OR)=0.28, 95% CI 0.10 to 0.93, p=0.04).
Cartilage biomarkers may be used to identify subgroups among those with clinical knee OA in whom disease progresses at different rates. This may facilitate our understanding of the pathogenesis of disease and allow us to differentiate phenotypes of disease within a heterogeneous knee OA population.
软骨代谢生物标志物具有预后潜力。
检查软骨寡聚基质蛋白(COMP)、Ⅱ型前胶原 N 端前肽(PIIANP)、Ⅱ型胶原降解产物(胶原型-II 裂解(C2C))等血清软骨生物标志物是否可预测软骨体积丢失和膝关节置换。
117 例膝关节骨关节炎(OA)患者在基线和 2 年内进行 MRI 检查。在基线时测量软骨生物标志物。通过 2 年的膝关节软骨体积变化和 4 年的膝关节置换来确定。根据生物标志物水平大于或等于或小于平均值,将人群分为高或低生物标志物亚组。在整个人群中以及在标志物亚组中分别检查生物标志物与结局指标之间的关系。
在整个人群中,软骨生物标志物与软骨体积丢失之间的关系并非线性关系。在低(回归系数 B=-9.7,95%CI-0.01 至 0.003,p=0.01)而非高(B=-0.46,95%CI-8.9 至 8.0,p=0.92)COMP 亚组中,COMP 与内侧软骨体积丢失率降低显著相关(组间差异 p=0.05)。同样,在低(B=-8.2,95%CI-12.9 至-3.5,p=0.001)而非高(B=2.6,95%CI-3.3 至 8.5,p=0.38)PIIANP 亚组中,PIIANP 与内侧软骨体积丢失率降低显著相关(p 差值=0.003)。C2C 与软骨体积丢失率无显著相关性。PIIANP 与关节置换风险降低相关(比值比(OR)=0.28,95%CI 0.10 至 0.93,p=0.04)。
软骨生物标志物可用于识别临床膝关节 OA 患者亚组,这些患者的疾病进展速度不同。这可能有助于我们了解疾病的发病机制,并使我们能够在异质性膝关节 OA 人群中区分疾病表型。