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评估多种免疫分析技术平台,选择具有最佳药物和靶标耐受性的抗药物抗体分析方法。

Evaluation of Multiple Immunoassay Technology Platforms to Select the Anti-Drug Antibody Assay Exhibiting the Most Appropriate Drug and Target Tolerance.

机构信息

Novimmune SA, 14 Chemin des Aulx, 1228 Plan-les-Ouates, Geneva, Switzerland.

出版信息

J Immunol Res. 2016;2016:5069678. doi: 10.1155/2016/5069678. Epub 2016 May 3.

Abstract

The aim of this study was, at the assay development stage and thus with an appropriate degree of rigor, to select the most appropriate technology platform and sample pretreatment procedure for a clinical ADA assay. Thus, ELISA, MSD, Gyrolab, and AlphaLISA immunoassay platforms were evaluated in association with target depletion and acid dissociation sample pretreatment steps. An acid dissociation step successfully improved the drug tolerance for all 4 technology platforms and the required drug tolerance was achieved with the Gyrolab and MSD platforms. The target tolerance was shown to be better for the ELISA format, where an acid dissociation treatment step alone was sufficient to achieve the desired target tolerance. However, inclusion of a target depletion step in conjunction with the acid treatment raised the target tolerance to the desired level for all of the technologies. A higher sensitivity was observed for the MSD and Gyrolab assays and the ELISA, MSD, and Gyrolab all displayed acceptable interdonor variability. This study highlights the usefulness of evaluating the performance of different assay platforms at an early stage in the assay development process to aid in the selection of the best fit-for-purpose technology platform and sample pretreatment steps.

摘要

本研究的目的是,在开发检测方法的阶段,通过适当的严谨性,选择最合适的技术平台和样品预处理程序,用于临床 ADA 检测。因此,评估了 ELISA、MSD、Gyrolab 和 AlphaLISA 免疫分析平台,并结合目标耗竭和酸解离样品预处理步骤。酸解离步骤成功提高了所有 4 种技术平台的药物耐受性,并且 Gyrolab 和 MSD 平台达到了所需的药物耐受性。结果表明,ELISA 格式的目标耐受性更好,单独使用酸解离处理步骤即可达到所需的目标耐受性。然而,在酸处理的基础上加入目标耗竭步骤,可以将所有技术的目标耐受性提高到所需水平。MSD 和 Gyrolab 检测方法的灵敏度更高,ELISA、MSD 和 Gyrolab 的供体间变异性均在可接受范围内。本研究强调了在检测方法开发过程的早期评估不同检测平台性能的有用性,有助于选择最合适的技术平台和样品预处理步骤。

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