从内部代谢活动定义生物制造过程中的黄金批量,以检测可能影响产品质量的过程变化
Xin Bush1, Erica J Fratz-Berilla1, Casey L Kohnhorst2
1U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Pharmaceutical Quality, Office of Pharmaceutical Quality Research, Division Pharmaceutical Quality Research VI, Silver Spring, Maryland, USA.
Biotechnology and bioengineering
|October 28, 2024
概括
通过临界代谢参数 (CMP) 监测细胞代谢,为控制生物制造过程提供了一种新的方法. 这种方法提高了工艺转移的检测,并提高了产品质量的一致性.
科学领域:
- 生物技术是生物技术.
- 系统生物学 系统生物学
- 过程分析技术 过程分析技术
背景情况:
- 细胞代谢影响生物制造中的关键质量属性 (CQAs).
- 目前的生物制造过程控制依赖于宏观的临界过程参数 (CPP).
- CQA的变化可能与批次之间的代谢差异有关.
研究的目的:
- 引入一种新的生物制造工艺监测方法.
- 将代谢反应速率作为临界代谢参数 (CMP) 整合起来.
- 评估CMP对过程控制和质量保证的有用性.
主要方法:
- 利用基于约束的系统生物学模型,特别是流量平衡分析 (FBA),以估计代谢反应速率.
- 采用多变量批进化模型 (BEMs),将代谢率作为输入.
- 在不同的生物制造批次中监测代谢活动.
主要成果:
- 代谢活动证明了跨批次的可重现性.
- 通过CMP方法,成功地检测到故意诱导的宏观过程变化,例如温度变化.
- 代谢监测提供了对内部过程动态的见解.
结论:
- 使用CMP监测新陈代谢活动显示出对增强生物制造过程控制的承诺.
- 这种方法可以帮助根据内部代谢概况定义"黄金批量".
- 产品质量管理师可以帮助更早,更有效地检测影响产品质量的过程偏差.
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