Perfusion Process Intensification for Lentivirus Production Using a Novel Scale-Down Model

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biotechnology and Bioengineering Pub Date : 2024-11-13 DOI:10.1002/bit.28880
Maximilian Klimpel, Beatrice Pflüger-Müller, Marta Arrizabalaga Cascallana, Sarah Schwingal, Nikki Indresh Lal, Thomas Noll, Vicky Pirzas, Holger Laux
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Abstract

Process intensification has become an important strategy to lower production costs and increase manufacturing capacities for biopharmaceutical products. In particular for the production of viral vectors like lentiviruses (LVs), the transition from (fed-)batch to perfusion processes is a key strategy to meet the increasing demands for cell and gene therapy applications. However, perfusion processes are associated with higher medium consumption. Therefore, it is necessary to develop appropriate small-scale models to reduce development costs. In this work, we present the use of the acoustic wave separation technology in combination with the Ambr 250 high throughput bioreactor system for intensified perfusion process development using stable LV producer cells. The intensified perfusion process developed in the Ambr 250 model, performed at a harvest rate of 3 vessel volumes per day (VVD) and high cell densities, resulted in a 1.4-fold higher cell-specific functional virus yield and 2.8-fold higher volumetric virus yield compared to the control process at a harvest rate of 1 VVD. The findings were verified at bench scale after optimizing the bioreactor set-up, resulting in a 1.4-fold higher cell-specific functional virus yield and 3.1-fold higher volumetric virus yield.

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利用新型缩小模型强化慢病毒生产的灌注过程
工艺强化已成为生物制药产品降低生产成本和提高生产能力的重要战略。特别是在慢病毒(LV)等病毒载体的生产中,从(进料)间歇工艺过渡到灌流工艺是满足细胞和基因治疗应用日益增长的需求的关键策略。然而,灌流工艺需要消耗更多的培养基。因此,有必要开发适当的小规模模型来降低开发成本。在这项工作中,我们介绍了将声波分离技术与 Ambr 250 高通量生物反应器系统相结合,使用稳定的 LV 生产者细胞进行强化灌流工艺开发的情况。在 Ambr 250 模型中开发的强化灌流工艺以每天 3 个血管容积(VVD)的收获率和高细胞密度进行,与收获率为 1 VVD 的对照工艺相比,细胞特异性功能病毒产量高出 1.4 倍,体积病毒产量高出 2.8 倍。在优化生物反应器设置后,研究结果在工作台规模上得到了验证,细胞特异性功能病毒产量提高了 1.4 倍,体积病毒产量提高了 3.1 倍。
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来源期刊
Biotechnology and Bioengineering
Biotechnology and Bioengineering 工程技术-生物工程与应用微生物
CiteScore
7.90
自引率
5.30%
发文量
280
审稿时长
2.1 months
期刊介绍: Biotechnology & Bioengineering publishes Perspectives, Articles, Reviews, Mini-Reviews, and Communications to the Editor that embrace all aspects of biotechnology. These include: -Enzyme systems and their applications, including enzyme reactors, purification, and applied aspects of protein engineering -Animal-cell biotechnology, including media development -Applied aspects of cellular physiology, metabolism, and energetics -Biocatalysis and applied enzymology, including enzyme reactors, protein engineering, and nanobiotechnology -Biothermodynamics -Biofuels, including biomass and renewable resource engineering -Biomaterials, including delivery systems and materials for tissue engineering -Bioprocess engineering, including kinetics and modeling of biological systems, transport phenomena in bioreactors, bioreactor design, monitoring, and control -Biosensors and instrumentation -Computational and systems biology, including bioinformatics and genomic/proteomic studies -Environmental biotechnology, including biofilms, algal systems, and bioremediation -Metabolic and cellular engineering -Plant-cell biotechnology -Spectroscopic and other analytical techniques for biotechnological applications -Synthetic biology -Tissue engineering, stem-cell bioengineering, regenerative medicine, gene therapy and delivery systems The editors will consider papers for publication based on novelty, their immediate or future impact on biotechnological processes, and their contribution to the advancement of biochemical engineering science. Submission of papers dealing with routine aspects of bioprocessing, description of established equipment, and routine applications of established methodologies (e.g., control strategies, modeling, experimental methods) is discouraged. Theoretical papers will be judged based on the novelty of the approach and their potential impact, or on their novel capability to predict and elucidate experimental observations.
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