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遵循质量源于设计原则的甲型流感病毒生产

Influenza A Virus Production Following Quality by Design Principles.

作者信息

Zinnecker Tilia, Thiele Kristin, Schmidberger Timo, Genzel Yvonne, Reichl Udo

机构信息

Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany.

Sartorius Stedim Cellca GmbH Ulm Germany.

出版信息

Eng Life Sci. 2025 Apr 23;25(4):e70027. doi: 10.1002/elsc.70027. eCollection 2025 Apr.

Abstract

Establishing manufacturing processes for cell culture-based pharmaceutical products involves managing multiple parameters that can affect yield and efficiency, as well as process robustness and product quality. Implementing Quality by Design (QbD) principles can support process optimization, while streamlining the chemistry, manufacturing, and control aspects for regulatory approval. In this study, we mimic a QbD approach based on an influenza A virus production process using two clonal suspension Madin-Darby canine kidney (MDCK) cell lines with distinct characteristics. We performed a quantitative risk assessment including biological and technical parameters to identify the Critical Process Parameters (CPPs). To comprehensively study the effects and interactions of four CPPs, we used an Ambr 15 scale-down system following a Design of Experiments (DoE) approach. After data analysis and modeling, we obtained design spaces characterized by high robustness with a less than 1% risk of failure and even some indications for virus titer and yield improvement, while keeping process-related impurities such as DNA and total protein concentration low. These findings were subsequently verified at a more than 100-fold higher working volume. Taken together, our approach may stimulate ideas for the implementation of streamlined process development and regulatory approval in the field of viral vaccine production.

摘要

建立基于细胞培养的药品生产工艺涉及管理多个会影响产量和效率以及工艺稳健性和产品质量的参数。实施质量源于设计(QbD)原则有助于工艺优化,同时简化化学、生产和控制方面以获得监管批准。在本研究中,我们基于使用两种具有不同特性的克隆悬浮马-达二氏犬肾(MDCK)细胞系的甲型流感病毒生产工艺,模拟了一种QbD方法。我们进行了包括生物学和技术参数的定量风险评估,以确定关键工艺参数(CPP)。为了全面研究四个CPP的影响和相互作用,我们采用实验设计(DoE)方法,使用了Ambr 15缩小系统。经过数据分析和建模,我们获得了具有高稳健性的设计空间,失败风险低于1%,甚至有一些提高病毒滴度和产量的迹象,同时保持与工艺相关的杂质如DNA和总蛋白浓度较低。这些发现随后在超过100倍的工作体积下得到验证。综上所述,我们的方法可能会激发在病毒疫苗生产领域实施简化工艺开发和监管批准的思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5207/12016631/09a2258e4d77/ELSC-25-e70027-g003.jpg

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