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治疗性抗体超滤和洗滤过程中 pH 值和赋形剂浓度的机理模型。

Mechanistic model of pH and excipient concentration during ultrafiltration and diafiltration processes of therapeutic antibodies.

机构信息

Process Development, Amgen, Cambridge, Massachusetts, USA.

Control Systems, Amazon, Seattle, Washington, USA.

出版信息

Biotechnol Prog. 2020 Sep;36(5):e2993. doi: 10.1002/btpr.2993. Epub 2020 Apr 7.

Abstract

Ultrafiltration and diafiltration (UF/DF) unit operations are widely used for the manufacture of therapeutic antibodies to control drug substance protein concentration, pH, and excipient properties. During UF/DF, molecular interactions and volume exclusion effects often lead to substantial differences in pH and excipient concentrations between the diafiltration buffer and final UF/DF pool. These differences complicate the design process beyond simply specifying a buffer with the desired drug substance pH and excipient conditions. This article describes a UF/DF process model which dynamically and accurately simulates UF/DF retentate pool pH and excipient conditions throughout the UF/DF process. This multiscale model accounts for microscopic descriptions of ion-protein charge interactions using the Poisson-Boltzmann equation as well as macroscopic descriptions of volume exclusion and mass transfer. Model predictions of the final UF/DF pool properties were experimentally verified through comparisons to design of experiment (DoE) data from four monoclonal antibody (mAb) processes, each with differing formulations and UF/DF operating conditions. Additionally, model simulations of the retentate pool properties throughout the UF/DF process were verified for two mAb processes through comparisons to experimental data collected at intermediate process points. Model results were qualified, using statistical equivalence tests, against the outputs from large-scale GMP runs which confirmed that the model accurately captures large-scale process performance. Finally, the model was applied toward the simulation of process scenarios beyond those examined experimentally. These in-silico experiments demonstrate the model's capability as a tool for augmented process design and it is potential to reduce the extent of UF/DF laboratory experiments.

摘要

超滤和透析(UF/DF)单元操作广泛用于治疗性抗体的制造,以控制药物物质蛋白浓度、pH 值和赋形剂性质。在 UF/DF 过程中,分子相互作用和体积排阻效应常常导致透析缓冲液和最终 UF/DF 池之间的 pH 值和赋形剂浓度存在显著差异。这些差异使得设计过程变得复杂,不仅仅是简单地指定具有所需药物物质 pH 值和赋形剂条件的缓冲液。本文描述了一种 UF/DF 过程模型,该模型可以动态和准确地模拟 UF/DF 浓缩物池的 pH 值和赋形剂条件在 UF/DF 过程中的变化。该多尺度模型考虑了离子-蛋白质电荷相互作用的微观描述,使用泊松-玻尔兹曼方程,并考虑了体积排阻和传质的宏观描述。通过与来自四个单克隆抗体(mAb)工艺的实验设计(DoE)数据进行比较,验证了模型对最终 UF/DF 池性质的预测,每个工艺都具有不同的配方和 UF/DF 操作条件。此外,通过与在中间过程点收集的实验数据进行比较,验证了该模型对两个 mAb 工艺的浓缩物池性质在 UF/DF 过程中的模拟。使用统计等效性测试对模型结果进行了资格认证,与大规模 GMP 运行的结果进行了比较,这证实了模型能够准确捕捉大规模过程性能。最后,该模型被应用于模拟超出实验研究范围的过程场景。这些计算机实验证明了该模型作为增强过程设计工具的能力,并有可能减少 UF/DF 实验室实验的数量。

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