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实验设计作为细胞治疗生产的决策工具。

Design of experiments as a decision tool for cell therapy manufacturing.

机构信息

Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.

Duke University, Durham, NC, 27708, USA.

出版信息

Cytotherapy. 2022 Jun;24(6):590-596. doi: 10.1016/j.jcyt.2022.01.009. Epub 2022 Feb 26.

Abstract

BACKGROUND AIMS

Cell therapies are costlier to manufacture than small molecules and protein therapeutics because they require multiple manipulations and are often produced in an autologous manner. Strategies to lower the cost of goods to produce a cell therapy could make a significant impact on its total cost.

METHODS

Borrowing from the field of bioprocess development, the authors took a design of experiments (DoE)-based approach to understanding the manufacture of a cell therapy product in pre-clinical development, analyzing main cost factors in the production process. The cells used for these studies were autologous CD4 T lymphocytes gene-edited using CRISPR/Cas9 and recombinant adeno-associated virus (AAV) to restore normal FOXP3 gene expression as a prospective investigational product for patients with immune dysregulation, polyendocrinopathy, enteropathy, X-linked (IPEX) syndrome.

RESULTS

Using gene editing efficiency as the response variable, an initial screen was conducted for other variables that could influence the editing frequency. The multiplicity of infection (MOI) of AAV and amount of single guide RNA (sgRNA) were the significant factors used for the optimization step to generate a response contour plot. Cost analysis was done for multiple points in the design space to find cost drivers that could be reduced. For the range of values tested (50 000-750 000 vg/cell AAV and 0.8-4 μg sgRNA), editing with the highest MOI and sgRNA yielded the best gene editing frequency. However, cost analysis showed the optimal solution was gene editing at 193 000 vg/cell AAV and 1.78 μg sgRNA.

CONCLUSIONS

The authors used DoE to define key factors affecting the gene editing process for a potential investigational therapeutic, providing a novel and faster data-based approach to understanding factors driving complex biological processes. This approach could be applied in process development and aid in achieving more robust strategies for the manufacture of cellular therapeutics.

摘要

背景目的

细胞疗法的制造成本高于小分子和蛋白质疗法,因为它们需要多次操作,并且通常以自体方式生产。降低生产细胞疗法产品的成本的策略可能会对其总成本产生重大影响。

方法

作者借鉴生物工艺开发领域,采用基于实验设计(DoE)的方法来了解临床前开发中细胞疗法产品的制造,分析生产过程中的主要成本因素。这些研究中使用的细胞是使用 CRISPR/Cas9 基因编辑的自体 CD4 T 淋巴细胞和重组腺相关病毒(AAV),以恢复正常 FOXP3 基因表达,作为免疫失调、多内分泌腺病、肠病、X 连锁(IPEX)综合征患者的潜在研究性产品。

结果

使用基因编辑效率作为响应变量,对可能影响编辑频率的其他变量进行了初始筛选。AAV 的感染复数(MOI)和单指导 RNA(sgRNA)的量是用于优化步骤以生成响应等高线图的重要因素。在设计空间中的多个点进行成本分析,以找到可以降低的成本驱动因素。在所测试的范围内(50000-750000 vg/细胞 AAV 和 0.8-4μg sgRNA),使用最高 MOI 和 sgRNA 进行编辑可获得最佳的基因编辑频率。然而,成本分析表明最佳解决方案是在 193000 vg/细胞 AAV 和 1.78μg sgRNA 进行基因编辑。

结论

作者使用 DoE 来定义影响潜在研究性治疗基因编辑过程的关键因素,为理解驱动复杂生物过程的因素提供了一种新颖且更快的数据驱动方法。这种方法可应用于工艺开发,并有助于实现更稳健的细胞治疗制造策略。

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