首页> 外文期刊>Journal of immunology research. >Anti-TROVE2 Antibody Determined by Immune-Related Array May Serve as a Predictive Marker for Adalimumab Immunogenicity and Effectiveness in RA
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Anti-TROVE2 Antibody Determined by Immune-Related Array May Serve as a Predictive Marker for Adalimumab Immunogenicity and Effectiveness in RA

机译:通过免疫相关阵列测定的抗Trove2抗体可以用作RA的熟催化剂免疫原性和有效性的预测标志物

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Anti-drug antibody (ADAb) development is associated with secondary therapeutic failure in biologic-treated rheumatoid arthritis (RA) patients. With a treat-to-target goal, we aimed to identify biomarkers for predicting ADAb development and therapeutic response in adalimumab-treated patients. Three independent cohorts were enrolled. In Cohort-1, 24 plasma samples (6 ADAb-positive and 6 ADAb-negative patients at baseline and week 24 of adalimumab therapy, respectively) were assayed with immune-related microarray containing 1,636 correctly folded functional proteins. Next, we executed statistically powered autoantibody profiling analysis of 50 samples in Cohort-2 (24 ADAb-positive and 26 ADAb-negative patients). Subsequently, immunofluorescence assay was performed on 48 samples in Cohort-3 to correlate with ADAb titers and drug levels. The biomarkers were identified for predicting ADAb development and therapeutic response using the immune-related microarray and machine learning approach. ADAb-positive patients had lower drug levels at week 24 ( ) compared with ADAb-negative patients ( , ). ROC analysis based on the ADAb status revealed the top 20 autoantibodies with in differentiating both groups in Cohort-1. Analysis of Cohort-2 dataset identified a panel of 8 biomarkers (TROVE2, SSB, NDE1, ZHX2, SH3GL1, CARD9, PTPN20, and KLHL12) with 80.6% specificity, 77.4% sensitivity, and 79.0% accuracy in discriminating poor from EULAR responders. Immunofluorescence assay validated that anti-TROVE2 antibody could highly predict ADAb development and poor EULAR response (AUC 0.79 and 0.89, respectively). Multivariate regression analysis proved anti-TROVE2 antibody to be an independent predictor for developing ADAb. Immune-related protein microarray and replication analysis identified anti-TROVE2 antibody as a useful biomarker for predicting ADAb development and therapeutic response in adalimumab-treated patients.
机译:抗药物抗体(ADAB)发育与生物治疗的类风湿性关节炎(RA)患者的继发性治疗失败有关。凭借对目标目标,我们旨在鉴定用于预测Adab Opersed患者的ADAB开发和治疗反应的生物标志物。注册了三个独立的队列。在Cohort-1中,通过含有1,636个正确折叠的功能蛋白的免疫相关微阵列测定24个等离子体样品(分别在基线的Adab阳性和6个Adab-posital患者和Adalimalab疗法的第24周)。接下来,我们在COHORT-2(24例ADAB阳性和26例ADAB-DICAL患者24个)中执行了50个样品的统计供电的自身抗体分析分析。随后,在COHORT-3中的48个样品中进行免疫荧光测定,以与Adab滴度和药物水平相关。使用免疫相关的微阵列和机器学习方法鉴定生物标志物用于预测ADAB开发和治疗反应。与Adab-Digal患者(,)相比,Adab阳性患者在第24()的药物水平下降较低。基于ADAB现状的ROC分析显示了在辅助-1中区分两组的前20名自身抗体。 COHORT-2数据集的分析鉴定了8个生物标志物(TROVE2,SSB,NDE1,ZHX2,SH3GL1,CARK9,PTPN20和KLHL12),其特异性为80.6%,灵敏度77.4%,精度辨别出来自欧洲响应者的差异79.0%。免疫荧光测定验证,抗-Trove2抗体可以高度预测Adab发育和欧元响应差(AUC 0.79和0.89)。多元回归分析证明了抗Trove2抗体是开发adab的独立预测因素。免疫相关蛋白质微阵列和复制分析将抗Trove2抗体作为一种有用的生物标志物,用于预测拟AAB开发和治疗剂治疗患者的治疗反应。

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