Scaled preparation of extracellular vesicles from conditioned media

下游加工 小泡 可扩展性 化学 细胞外小泡 下游(制造业) 上游(联网) 良好制造规范 工艺工程 计算机科学 离心 差速离心 纳米技术 细胞生物学 生化工程 材料科学 色谱法 生物技术 工程类 生物化学 生物 电信 数据库 监管事务 运营管理
作者
Simon Staubach,Fabiola Nardi Bauer,Tobias Tertel,Verena Börger,Oumaima Stambouli,Denise Salzig,Bernd Giebel
出处
期刊:Advanced Drug Delivery Reviews [Elsevier BV]
卷期号:177: 113940-113940 被引量:135
标识
DOI:10.1016/j.addr.2021.113940
摘要

Extracellular vesicles (EVs) especially of mesenchymal stem/stomal cells (MSCs) are increasingly considered as biotherapeutic agents for a variety of different diseases. For translating them effectively into the clinics, scalable production processes fulfilling good manufacturing practice (GMP) are needed. Like for other biotherapeutic agents, the manufacturing of EV products can be subdivided in the upstream and downstream processing and the subsequent quality control, each of them containing several unit operations. During upstream processing (USP), cells are isolated, stored (cell banking) and expanded; furthermore, EV-containing conditioned media are produced. During downstream processing (DSP), conditioned media (CM) are processed to obtain concentrated and purified EV products. CM are either stored until DSP or are directly processed. As first unit operation in DSP, clarification removes remaining cells, debris and other larger impurities. The key operations of each EV DSP is volume-reduction combined with purification of the concentrated EVs. Most of the EV preparation methods used in conventional research labs including differential centrifugation procedures are limited in their scalability. Consequently, it is a major challenge in the therapeutic EV field to identify appropriate EV concentration and purification methods allowing scale up. As EVs share several features with enveloped viruses, that are used for more than two decades in the clinics now, several principles can be adopted to EV manufacturing. Here, we introduce and discuss volume reducing and purification methods frequently used for viruses and analyze their value for the manufacturing of EV-based therapeutics.
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