Division of Rheumatology, Department of Medicine, College of Medicine, Mayo Clinic, Rochester, MN, USA.
Clin Immunol. 2011 Oct;141(1):67-72. doi: 10.1016/j.clim.2011.05.008. Epub 2011 May 30.
Persons with rheumatoid arthritis (RA) suffer a high burden of infections, but currently no biomarkers are available to identify individuals at greatest risk. A prospective longitudinal study was therefore conducted to determine the association between the responsiveness of ex vivo cytokine production and 6-month risk of infections. Infections were identified by billing codes and validated by medical record review. At baseline, the release of 17 cytokines by peripheral blood mononuclear cells in response to stimulation, or media alone, was measured using multiplexed cytokine analysis. Production of IL-2, IL-8, IL-10, IL-17, TNF-α, IFN-γ, and GM-CSF, induced by various conditions, was significantly associated with the occurrence of infections. A multivariable prediction model based on these data provided new information on the risk of infection beyond standard assessments of disease activity, severity, and treatment. Future studies could utilize this information to devise new biomarkers for the prediction of infection in patients with RA.
类风湿关节炎(RA)患者感染负担高,但目前尚无生物标志物可用于识别感染风险最高的个体。因此,进行了一项前瞻性纵向研究,以确定细胞因子体外产生反应性与 6 个月感染风险之间的关联。通过计费代码识别感染,并通过病历审查进行验证。在基线时,使用多重细胞因子分析测量外周血单核细胞在刺激或单独使用培养基时对 17 种细胞因子的释放。由各种条件诱导的 IL-2、IL-8、IL-10、IL-17、TNF-α、IFN-γ和 GM-CSF 的产生与感染的发生显著相关。基于这些数据的多变量预测模型提供了关于感染风险的新信息,超出了对疾病活动、严重程度和治疗的标准评估。未来的研究可以利用这些信息为 RA 患者的感染预测设计新的生物标志物。