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免疫相关阵列测定的抗 TROVE2 抗体可作为预测阿达木单抗在 RA 中免疫原性和有效性的标志物。

Anti-TROVE2 Antibody Determined by Immune-Related Array May Serve as a Predictive Marker for Adalimumab Immunogenicity and Effectiveness in RA.

机构信息

Translational Medicine Laboratory, Rheumatic Diseases Research Center, China Medical University Hospital, Taichung, Taiwan.

College of Medicine, China Medical University, Taichung, Taiwan.

出版信息

J Immunol Res. 2021 Mar 8;2021:6656121. doi: 10.1155/2021/6656121. eCollection 2021.

Abstract

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 (median = 0.024 g/ml) compared with ADAb-negative patients (median = 6.38 g/ml, < 0.001). ROC analysis based on the ADAb status revealed the top 20 autoantibodies with AUC ≥ 0.7 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.

摘要

抗药物抗体 (ADAb) 的产生与生物制剂治疗的类风湿关节炎 (RA) 患者的治疗失败有关。为了实现达标治疗的目标,我们旨在寻找预测阿达木单抗治疗患者 ADAb 产生和治疗反应的生物标志物。纳入了三个独立的队列。在队列 1 中,分别在阿达木单抗治疗基线和第 24 周时对 24 个血浆样本(6 个 ADAb 阳性和 6 个 ADAb 阴性患者)进行了检测,这些样本使用包含 1636 个正确折叠功能蛋白的免疫相关微阵列进行检测。接下来,我们对队列 2 中的 50 个样本进行了统计学上有力的自身抗体分析(24 个 ADAb 阳性和 26 个 ADAb 阴性患者)。随后,在队列 3 中对 48 个样本进行免疫荧光检测,以与 ADAb 滴度和药物水平相关联。使用免疫相关微阵列和机器学习方法,鉴定了预测 ADAb 产生和治疗反应的生物标志物。与 ADAb 阴性患者相比,ADAb 阳性患者在第 24 周时的药物水平较低(中位数=0.024μg/ml)(中位数=6.38μg/ml,<0.001)。基于 ADAb 状态的 ROC 分析显示,队列 1 中区分两组的前 20 个自身抗体的 AUC≥0.7。队列 2 数据集的分析确定了一组 8 个生物标志物(TROVE2、SSB、NDE1、ZHX2、SH3GL1、CARD9、PTPN20 和 KLHL12),在区分不良和 EULAR 应答者方面具有 80.6%的特异性、77.4%的敏感性和 79.0%的准确性。免疫荧光检测验证了抗 TROVE2 抗体可以高度预测 ADAb 的产生和不良的 EULAR 反应(AUC 分别为 0.79 和 0.89)。多元回归分析证明抗 TROVE2 抗体是产生 ADAb 的独立预测因子。免疫相关蛋白微阵列和复制分析表明,抗 TROVE2 抗体是预测阿达木单抗治疗患者 ADAb 产生和治疗反应的有用生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/575d/7963899/a5088ba4893c/JIR2021-6656121.001.jpg

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