Department of Biotech Process Sciences, Merck Serono S.A. Corsier-sur-Vevey, Fenil-sur-Corsier CH-1809, Switzerland.
J Pharm Sci. 2012 Oct;101(10):3604-18. doi: 10.1002/jps.23273. Epub 2012 Jul 20.
The article describes how Quality by Design principles can be applied to the drug substance manufacturing process of an Fc fusion protein. First, the quality attributes of the product were evaluated for their potential impact on safety and efficacy using risk management tools. Similarly, process parameters that have a potential impact on critical quality attributes (CQAs) were also identified through a risk assessment. Critical process parameters were then evaluated for their impact on CQAs, individually and in interaction with each other, using multivariate design of experiment techniques during the process characterisation phase. The global multi-step Design Space, defining operational limits for the entire drug substance manufacturing process so as to ensure that the drug substance quality targets are met, was devised using predictive statistical models developed during the characterisation study. The validity of the global multi-step Design Space was then confirmed by performing the entire process, from cell bank thawing to final drug substance, at its limits during the robustness study: the quality of the final drug substance produced under different conditions was verified against predefined targets. An adaptive strategy was devised whereby the Design Space can be adjusted to the quality of the input material to ensure reliable drug substance quality. Finally, all the data obtained during the process described above, together with data generated during additional validation studies as well as manufacturing data, were used to define the control strategy for the drug substance manufacturing process using a risk assessment methodology.
本文介绍了如何将质量源于设计(Quality by Design,QbD)原则应用于 Fc 融合蛋白的药物物质制造工艺。首先,使用风险管理工具评估产品的质量属性,以评估其对安全性和疗效的潜在影响。同样,通过风险评估确定对关键质量属性(Critical Quality Attributes,CQAs)有潜在影响的工艺参数。然后,在工艺特性研究阶段,使用多元设计实验技术评估关键工艺参数对 CQAs 的单独和相互影响。通过在特性研究期间开发的预测统计模型,设计出定义整个药物物质制造工艺操作限制的全局多步骤设计空间,以确保达到药物物质质量目标。通过在稳健性研究中在其限制条件下执行从细胞库解冻到最终药物物质的整个过程,确认全局多步骤设计空间的有效性:根据预定义目标验证在不同条件下生产的最终药物物质的质量。设计了一种自适应策略, whereby可以根据输入材料的质量调整设计空间,以确保药物物质质量的可靠性。最后,使用风险评估方法,结合上述过程中获得的所有数据以及额外验证研究和制造数据,定义药物物质制造工艺的控制策略。