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单克隆抗体聚集的预测与减少

Prediction and Reduction of the Aggregation of Monoclonal Antibodies.

作者信息

van der Kant Rob, Karow-Zwick Anne R, Van Durme Joost, Blech Michaela, Gallardo Rodrigo, Seeliger Daniel, Aßfalg Kerstin, Baatsen Pieter, Compernolle Griet, Gils Ann, Studts Joey M, Schulz Patrick, Garidel Patrick, Schymkowitz Joost, Rousseau Frederic

机构信息

VIB Switch Laboratory, Herestraat 49, B-3000 Leuven, Belgium; Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, PO 802, B-3000 Leuven, Belgium.

Boehringer Ingelheim Pharma GmbH & Co. KG, 88400, Biberach/Riss, Germany.

出版信息

J Mol Biol. 2017 Apr 21;429(8):1244-1261. doi: 10.1016/j.jmb.2017.03.014. Epub 2017 Mar 18.

Abstract

Protein aggregation remains a major area of focus in the production of monoclonal antibodies. Improving the intrinsic properties of antibodies can improve manufacturability, attrition rates, safety, formulation, titers, immunogenicity, and solubility. Here, we explore the potential of predicting and reducing the aggregation propensity of monoclonal antibodies, based on the identification of aggregation-prone regions and their contribution to the thermodynamic stability of the protein. Although aggregation-prone regions are thought to occur in the antigen binding region to drive hydrophobic binding with antigen, we were able to rationally design variants that display a marked decrease in aggregation propensity while retaining antigen binding through the introduction of artificial aggregation gatekeeper residues. The reduction in aggregation propensity was accompanied by an increase in expression titer, showing that reducing protein aggregation is beneficial throughout the development process. The data presented show that this approach can significantly reduce liabilities in novel therapeutic antibodies and proteins, leading to a more efficient path to clinical studies.

摘要

蛋白质聚集仍然是单克隆抗体制备中的一个主要关注领域。改善抗体的内在特性可以提高可制造性、损耗率、安全性、制剂、效价、免疫原性和溶解性。在此,我们基于对易于聚集区域的识别及其对蛋白质热力学稳定性的贡献,探索预测和降低单克隆抗体聚集倾向的潜力。尽管认为易于聚集区域出现在抗原结合区域以驱动与抗原的疏水结合,但我们能够通过引入人工聚集守门残基,合理设计出聚集倾向显著降低同时保留抗原结合能力的变体。聚集倾向的降低伴随着表达效价的提高,表明在整个开发过程中降低蛋白质聚集是有益的。所呈现的数据表明,这种方法可以显著减少新型治疗性抗体和蛋白质中的不利因素,从而通向更高效的临床研究路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/663b/5397608/a998ffc9e3a2/fx1.jpg

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