Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America.
PLoS One. 2010 Mar 17;5(3):e9739. doi: 10.1371/journal.pone.0009739.
Osteoarthritis (OA) is a debilitating chronic multijoint disease of global proportions. OA presence and severity is usually documented by x-ray imaging but whole body imaging is impractical due to radiation exposure, time and cost. Systemic (serum or urine) biomarkers offer a potential alternative method of quantifying total body burden of disease but no OA-related biomarker has ever been stringently qualified to determine the feasibility of this approach. The goal of this study was to evaluate the ability of three OA-related biomarkers to predict various forms or subspecies of OA and total body burden of disease.
METHODOLOGY/PRINCIPAL FINDINGS: Female participants (461) with clinical hand OA underwent radiography of hands, hips, knees and lumbar spine; x-rays were comprehensively scored for OA features of osteophyte and joint space narrowing. Three OA-related biomarkers, serum hyaluronan (sHA), cartilage oligomeric matrix protein (sCOMP), and urinary C-telopeptide of type II collagen (uCTX2), were measured by ELISA. sHA, sCOMP and uCTX2 correlated positively with total osteophyte burden in models accounting for demographics (age, weight, height): R(2) = 0.60, R(2) = 0.47, R(2) = 0.51 (all p<10(-6)); sCOMP correlated negatively with total joint space narrowing burden: R(2) = 0.69 (p<10(-6)). Biomarkers and demographics predicted 35-38% of variance in total burden of OA (total joint space narrowing or osteophyte). Joint size did not determine the contribution to the systemic biomarker concentration. Biomarker correlation with disease in the lumbar spine resembled that in the rest of the skeleton.
CONCLUSIONS/SIGNIFICANCE: We have suspected that the correlation of systemic biomarkers with disease has been hampered by the inability to fully phenotype the burden of OA in a patient. These results confirm the hypothesis, revealed upon adequate patient phenotyping, that systemic joint tissue concentrations of several biomarkers can be quantitative indicators of specific subspecies of OA and of total body burden of disease.
骨关节炎(OA)是一种具有全球影响力的衰弱性慢性多关节疾病。OA 的存在和严重程度通常通过 X 射线成像来记录,但由于辐射暴露、时间和成本,全身成像不切实际。系统(血清或尿液)生物标志物提供了一种定量评估疾病全身负担的潜在替代方法,但尚无 OA 相关生物标志物经过严格鉴定以确定这种方法的可行性。本研究的目的是评估三种 OA 相关生物标志物预测各种形式或亚种 OA 以及疾病全身负担的能力。
方法/主要发现:461 名手部临床 OA 女性参与者接受手部、臀部、膝盖和腰椎 X 射线检查;X 射线全面评估骨赘和关节间隙狭窄的 OA 特征。通过 ELISA 测量三种 OA 相关生物标志物,即血清透明质酸(sHA)、软骨寡聚基质蛋白(sCOMP)和尿型 II 胶原 C 端肽(uCTX2)。在考虑人口统计学因素(年龄、体重、身高)的模型中,sHA、sCOMP 和 uCTX2 与总骨赘负担呈正相关:R²=0.60,R²=0.47,R²=0.51(均 p<10(-6));sCOMP 与总关节间隙狭窄负担呈负相关:R²=0.69(p<10(-6))。生物标志物和人口统计学因素可预测 OA 总负担的 35-38%(总关节间隙狭窄或骨赘)。关节大小不决定对系统生物标志物浓度的贡献。生物标志物与脊柱关节的相关性与骨骼其他部位相似。
结论/意义:我们怀疑系统生物标志物与疾病的相关性受到无法充分表型患者 OA 负担的阻碍。这些结果证实了我们的假设,即在充分表型患者后,几种生物标志物的系统关节组织浓度可以成为特定 OA 亚种和疾病全身负担的定量指标。