Trocmé C, Marotte H, Baillet A, Pallot-Prades B, Garin J, Grange L, Miossec P, Tebib J, Berger F, Nissen M J, Juvin R, Morel F, Gaudin P
GREPI CNRS UMR 5525, INSERM IFR 130, Université J Fourier, Grenoble, France.
Ann Rheum Dis. 2009 Aug;68(8):1328-33. doi: 10.1136/ard.2008.093153. Epub 2008 Jul 29.
The use of biologicals such as infliximab has dramatically improved the treatment of rheumatoid arthritis (RA). However, factors predictive of therapeutic response need to be identified. A proteomic study was performed prior to infliximab therapy to identify a panel of candidate protein biomarkers of RA predictive of treatment response.
Plasma profiles of 60 patients with RA (28 non-responders (as defined by the American College of Rheumatology 20% improvement criteria (ACR20)) negative and 32 responders (ACR70 positive) to infliximab) were studied by surface enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS) technology on two types of arrays, an anion exchange array (SAX2) and a nickel affinity array (IMAC3-Ni). Biomarker characterisation was carried out using classical biochemical methods (purification by ammonium sulfate precipitation or metal affinity chromatography) and identification by matrix assisted laser desorption/ionisation time-of-flight (MALDI-TOF) MS analysis.
Two distinct protein profiles were observed on both arrays and several proteins were differentially expressed in both patient populations. Five proteins at 3.86, 7.77, 7.97, 8.14 and 74.07 kDa were overexpressed in the non-responder group, whereas one at 28 kDa was increased in the responder population (sensitivity>56%, specificity>77.5%). Moreover, combination of several biomarkers improved the sensitivity and specificity of the detection of patient response to over 97%. The 28 kDa protein was characterised as apolipoprotein A-I and the 7.77 kDa biomarker was identified as platelet factor 4.
Six plasma biomarkers are characterised, enabling the detection of patient response to infliximab with high sensitivity and specificity. Apolipoprotein A-1 was predictive of a good response to infliximab, whereas platelet factor 4 was associated with non-responders.
英夫利昔单抗等生物制剂的使用显著改善了类风湿关节炎(RA)的治疗。然而,需要确定预测治疗反应的因素。在英夫利昔单抗治疗前进行了一项蛋白质组学研究,以确定一组预测治疗反应的RA候选蛋白质生物标志物。
采用表面增强激光解吸/电离飞行时间质谱(SELDI-TOF MS)技术,在两种类型的芯片上研究了60例RA患者(28例无反应者(根据美国风湿病学会20%改善标准(ACR20)定义为阴性)和32例英夫利昔单抗反应者(ACR70阳性))的血浆图谱,一种是阴离子交换芯片(SAX2),另一种是镍亲和芯片(IMAC3-Ni)。使用经典生化方法(通过硫酸铵沉淀或金属亲和色谱法纯化)进行生物标志物表征,并通过基质辅助激光解吸/电离飞行时间(MALDI-TOF)MS分析进行鉴定。
在两种芯片上均观察到两种不同的蛋白质图谱,并且在两个患者群体中几种蛋白质存在差异表达。在无反应者组中,3.86、7.77、7.97、8.14和74.07 kDa的五种蛋白质过度表达,而在反应者群体中,28 kDa的一种蛋白质增加(敏感性>56%,特异性>77.5%)。此外,几种生物标志物的组合将检测患者反应的敏感性和特异性提高到97%以上。28 kDa的蛋白质被鉴定为载脂蛋白A-I,7.77 kDa的生物标志物被鉴定为血小板因子4。
鉴定了六种血浆生物标志物,能够以高敏感性和特异性检测患者对英夫利昔单抗的反应。载脂蛋白A-1预测对英夫利昔单抗有良好反应,而血小板因子4与无反应者相关。