Duke University School of Medicine, Durham, North Carolina.
Arthritis Rheumatol. 2015 Apr;67(4):956-65. doi: 10.1002/art.39006.
To evaluate the ability of the macrophage markers CD163 and CD14 to predict different osteoarthritis (OA) phenotypes defined by severity of joint inflammation, radiographic features and progression, and joint pain.
We evaluated 2 different cohorts totaling 184 patients with radiographic knee OA. These included 25 patients from a cross-sectional imaging study for whom there were data on activated macrophages in the knee joint, and 159 patients (134 with 3-year longitudinal data) from the longitudinal Prediction of Osteoarthritis Progression study. Multivariable linear regression models with generalized estimating equations were used to assess the association of CD163 and CD14 in synovial fluid (SF) and blood with OA phenotypic outcomes. Models were adjusted for age, sex, and body mass index. P values less than or equal to 0.05 were considered significant.
SF CD14, SF CD163, and serum CD163 were associated with the abundance of activated macrophages in the knee joint capsule and synovium. SF CD14 was positively associated with severity of joint space narrowing and osteophytes in both cohorts. SF and plasma CD14 were positively associated with self-reported knee pain severity in the imaging study. Both SF CD14 and SF CD163 were positively associated with osteophyte progression.
Soluble macrophage biomarkers reflected the abundance of activated macrophages and appeared to mediate structural progression (CD163 and CD14) and pain (CD14) in OA knees. These data support the central role of inflammation as a determinant of OA severity, progression risk, and clinical symptoms, and they suggest a means of readily identifying a subset of patients with an active inflammatory state and worse prognosis.
评估巨噬细胞标志物 CD163 和 CD14 预测不同骨关节炎 (OA) 表型的能力,这些表型由关节炎症严重程度、影像学特征和进展以及关节疼痛定义。
我们评估了总共包含 184 名膝关节放射学 OA 患者的 2 个不同队列。其中包括 25 名来自横断面影像学研究的患者,这些患者的膝关节中有活化的巨噬细胞数据,以及来自纵向预测骨关节炎进展研究的 159 名患者(其中 134 名患者有 3 年的纵向数据)。使用广义估计方程的多变量线性回归模型来评估滑液 (SF) 和血液中 CD163 和 CD14 与 OA 表型结果的关联。模型调整了年龄、性别和体重指数。P 值小于或等于 0.05 被认为具有统计学意义。
SF CD14、SF CD163 和血清 CD163 与膝关节囊和滑膜中活化巨噬细胞的丰度相关。SF CD14 在两个队列中均与关节间隙狭窄和骨赘的严重程度呈正相关。SF 和血浆 CD14 与影像学研究中膝关节疼痛严重程度的自我报告呈正相关。SF CD14 和 SF CD163 均与骨赘进展呈正相关。
可溶性巨噬细胞生物标志物反映了活化巨噬细胞的丰度,似乎介导了 OA 膝关节的结构进展(CD163 和 CD14)和疼痛(CD14)。这些数据支持炎症作为 OA 严重程度、进展风险和临床症状的决定因素的核心作用,并表明可以通过简便地识别具有活跃炎症状态和较差预后的患者亚群。