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用于监测类风湿关节炎中利妥昔单抗的蛋白质生物芯片阵列技术。

Protein biochip array technology to monitor rituximab in rheumatoid arthritis.

作者信息

Fabre S, Guisset C, Tatem L, Dossat N, Dupuy A M, Cohen J D, Cristol J P, Daures J P, Jorgensen C

机构信息

Immuno-rheumatology, Lapeyronie University Hospital, Montpellier, France.

出版信息

Clin Exp Immunol. 2009 Mar;155(3):395-402. doi: 10.1111/j.1365-2249.2008.03804.x.

DOI:10.1111/j.1365-2249.2008.03804.x
PMID:19220830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2669515/
Abstract

In rheumatoid arthritis (RA) there are currently no good indicators to predict a clinical response to rituximab. The purpose of this study was to monitor and determine the role of peripheral blood cytokine profiling in differentiating between a good versus poor response to rituximab in RA. Blood samples were collected at baseline and at 3 months from 46 RA patients who were treated with rituximab. Responders are defined by the presence of three of four American College of Rheumatology criteria: >or=20% decrease in C-reactive protein, visual analogical score of disease activity, erythrocyte sedimentation rate and improvement of the disease activity score (28) (four values) by >or=1.2 obtained at 3 months. Twelve cytokines were measured from serum collected on days 0 and 90 by proteomic array, including interleukin-6 (IL-6), tumour necrosis factor-alpha, IL-1a, IL-1b, IL-2, IL-8, interferon-gamma, IL-4, IL-10, monocyte chemoattractant protein-1, epidermal growth factor and vascular growth factor. We showed that C-reactive protein and IL-6 levels decrease significantly at 3 months in the responder group compared with baseline. At day 90 we identified a cytokine profile which differentiates responders and non-responders. High serum levels of two proinflammatory cytokines, monocyte chemoattractant protein-1 and epidermal growth factor, were significantly higher in the responder group at day 90 compared with non-responders. However, we were not able to identify a baseline cytokine profile predictive of a good response at 3 months. These findings suggest that cytokine profiling by proteomic analysis may be a promising tool for monitoring rituximab and may help in the future to identify responder RA patients.

摘要

在类风湿关节炎(RA)中,目前尚无良好指标可预测对利妥昔单抗的临床反应。本研究的目的是监测并确定外周血细胞因子谱在区分RA患者对利妥昔单抗反应良好与反应不佳方面的作用。收集了46例接受利妥昔单抗治疗的RA患者在基线期和3个月时的血样。根据美国风湿病学会四项标准中的三项来定义反应者:C反应蛋白降低≥20%、疾病活动视觉模拟评分、红细胞沉降率以及疾病活动评分(28项)在3个月时改善≥1.2(四个数值)。通过蛋白质组学阵列检测了在第0天和第90天采集的血清中的12种细胞因子,包括白细胞介素-6(IL-6)、肿瘤坏死因子-α、IL-1α、IL-1β、IL-2、IL-8、干扰素-γ、IL-4、IL-10、单核细胞趋化蛋白-1、表皮生长因子和血管生长因子。我们发现,与基线相比,反应者组在3个月时C反应蛋白和IL-6水平显著降低。在第90天,我们确定了一种能够区分反应者和非反应者的细胞因子谱。与非反应者相比,反应者组在第90天血清中两种促炎细胞因子——单核细胞趋化蛋白-1和表皮生长因子的水平显著更高。然而,我们未能确定可预测3个月时良好反应的基线细胞因子谱。这些发现表明,通过蛋白质组学分析进行细胞因子谱分析可能是监测利妥昔单抗的一种有前景的工具,并且未来可能有助于识别对利妥昔单抗有反应的RA患者。

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