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Multivariate Process Optimization for Fixed-Bed Bioreactor-Based AAV Production Improves Total Batch Yield

生物反应器 产量(工程) 过程(计算) 播种 生物系统 工艺优化 批处理 载体(分子生物学) 重组DNA 转染 遗传增强 生物技术 工艺工程 病毒载体 计算机科学 数学 生产(经济) 生物医学工程 多元统计 报告基因 生物 化学 批量生产 缩放比例 实验设计
作者
Ruchita Selot,Ashish Khaparde,Sharath Babu G.R,Chitra Gopinath,Trailokyanath Panigrahi,Subhradeep Sarkar,Joy Elvin Dhinakar,Riya Patra,Priyalakshmi Panikker,Arkasubhra Ghosh,Ruchita Selot,Ashish Khaparde,Sharath Babu G.R,Chitra Gopinath,Trailokyanath Panigrahi,Subhradeep Sarkar,Joy Elvin Dhinakar,Riya Patra,Priyalakshmi Panikker,Arkasubhra Ghosh
出处
期刊:Human Gene Therapy [Mary Ann Liebert]
标识
DOI:10.1177/10430342251396547
摘要

Adeno-associated viral vectors (AAVs) are promising tools for gene therapy. However, scaling up the production of AAVs to produce high-quality vectors at high yields for clinical purposes has proven to be challenging. In the present study, we optimized the production process of AAV in a fixed-bed bioreactor using transient transfection in adherent HEK-293T cells. We systematically optimized the key process parameters, namely cell seeding density, cell density at transfection, and DNA-to-cell ratio, based on the yield obtained, starting from a prototype batch, followed by ten batch runs. Here, we packaged a reporter gene (enhanced green fluorescent protein) and a therapeutic gene (lysyl oxidase) into AAV9 capsids as part of our process development program to be applied for future current Good Manufacturing Practices production and clinical trial application. Throughout the experiments, media conditions, transfection processes, and mechanical parameters were kept identical, while monitoring pH, dissolved oxygen, and media glucose concentration during a production process of approximately 10 days. We demonstrate that by optimizing these parameters, the fixed-bed bioreactor was able to support as many as 1.6–2.8 × 10 6 cells/carrier strip, up to 3 × 10 9 cells/m 2 bioreactor. Through this multivariate optimization process, we increased viral yield by about 7.6-fold (range of 5.7–10.4-fold for the optimized process runs) over the prototype batch. The total AAV vector yield average was 2.3 × 10 14 vg (range 1.1 × 10 14 vg to 4.95 × 10 14 vg), corresponding to an average per cell yield of 1.4 × 10 5 vg/cell (range 0.85 × 10 5 –2.46 × 10 5 vg/cell). In conclusion, our findings highlight that optimizing process parameters in a fixed-bed bioreactor presents a promising strategy for scalable and cost-effective AAV vector production.
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