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通过T细胞表位修饰对治疗性蛋白质进行去免疫化

De-immunization of therapeutic proteins by T-cell epitope modification.

作者信息

De Groot A S, Knopp P M, Martin W

机构信息

TB/HIV Research Laboratory, Brown University, Providence, Rhode Island 02912, USA.

出版信息

Dev Biol (Basel). 2005;122:171-94.

Abstract

Many therapeutic proteins in clinical use have been shown to elicit antibody responses which in some cases have been linked to adverse events. Conventional animal models, although convenient, have rarely been predictive of immunogenicity in humans. New methods for predicting the potential immunogenicity of therapeutic proteins are needed. This treatise proposes a new approach which pairs in silico T-cell epitope analysis with in vitro studies. T-cell epitope mapping algorithms such as EpiMatrix can be used to evaluate a candidate therapeutic protein for T-helper epitopes, followed by confirmation of the T-helper epitopes using in vitro methods such as MHC binding assays and T-cell assays. Once these are identified, substitution of key amino acids in the T-cell epitopes may attenuate the immunogenicity of the protein, since modification of the amino acids in anchor position(s) can abrogate binding to human class II MHC molecules and presentation of the peptides, in the context of MHC, to T-helper cells. Following substitution of the key amino acids, immunogenicity of the modified protein can be evaluated in vitro. In parallel, the potential effect of the modifications on the structure of the protein can be evaluated using in silico modeling methods. This multi-step process has been termed DeFT for de-immunization of functional therapeutics. In this article we review the rationale for the approach, provide several retrospective examples that prove the approach in principle, and describe potential applications to therapeutic protein design. The demand for pre-clinical means of evaluating therapeutic proteins is expected to increase with the number of therapeutic proteins and monoclonal antibodies entering the pre-clinical pipeline. Examples provided offer some preliminary proof that the de-immunization approach may improve clinical outcomes.

摘要

许多临床使用的治疗性蛋白质已被证明会引发抗体反应,在某些情况下,这些反应与不良事件有关。传统的动物模型虽然方便,但很少能预测人类的免疫原性。因此,需要新的方法来预测治疗性蛋白质的潜在免疫原性。本论文提出了一种新方法,即将计算机模拟T细胞表位分析与体外研究相结合。诸如EpiMatrix等T细胞表位映射算法可用于评估候选治疗性蛋白质的T辅助表位,随后使用诸如MHC结合试验和T细胞试验等体外方法来确认T辅助表位。一旦确定了这些表位,替换T细胞表位中的关键氨基酸可能会减弱蛋白质的免疫原性,因为改变锚定位点的氨基酸可以消除与人类II类MHC分子的结合以及在MHC背景下向T辅助细胞呈递肽段。替换关键氨基酸后,可以在体外评估修饰后蛋白质的免疫原性。同时,可以使用计算机模拟建模方法评估修饰对蛋白质结构的潜在影响。这个多步骤过程被称为DeFT(功能性治疗药物去免疫)。在本文中,我们回顾了该方法的原理,提供了几个回顾性实例来从原则上证明该方法,并描述了其在治疗性蛋白质设计中的潜在应用。随着进入临床前研发阶段的治疗性蛋白质和单克隆抗体数量的增加,对评估治疗性蛋白质的临床前方法的需求预计也会增加。提供的实例提供了一些初步证据,表明去免疫方法可能改善临床结果。

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