Gimpel Andreas L, Katsikis Georgios, Sha Sha, Maloney Andrew John, Hong Moo Sun, Nguyen Tam N T, Wolfrum Jacqueline, Springs Stacy L, Sinskey Anthony J, Manalis Scott R, Barone Paul W, Braatz Richard D
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland.
Mol Ther Methods Clin Dev. 2021 Feb 17;20:740-754. doi: 10.1016/j.omtm.2021.02.010. eCollection 2021 Mar 12.
The optimization of upstream and downstream processes for production of recombinant adeno-associated virus (rAAV) with consistent quality depends on the ability to rapidly characterize critical quality attributes (CQAs). In the context of rAAV production, the virus titer, capsid content, and aggregation are identified as potential CQAs, affecting the potency, purity, and safety of rAAV-mediated gene therapy products. Analytical methods to measure these attributes commonly suffer from long turnaround times or low throughput for process development, although rapid, high-throughput methods are beginning to be developed and commercialized. These methods are not yet well established in academic or industrial practice, and supportive data are scarce. Here, we review both established and upcoming analytical methods for the quantification of rAAV quality attributes. In assessing each method, we highlight the progress toward rapid, at-line characterization of rAAV. Furthermore, we identify that a key challenge for transitioning from traditional to newer methods is the scarcity of academic and industrial experience with the latter. This literature review serves as a guide for the selection of analytical methods targeting quality attributes for rapid, high-throughput process characterization during process development of rAAV-mediated gene therapies.
生产具有一致质量的重组腺相关病毒(rAAV)的上游和下游工艺的优化取决于快速表征关键质量属性(CQA)的能力。在rAAV生产的背景下,病毒滴度、衣壳含量和聚集被确定为潜在的CQA,影响rAAV介导的基因治疗产品的效力、纯度和安全性。用于测量这些属性的分析方法通常在工艺开发中存在周转时间长或通量低的问题,尽管快速、高通量的方法正开始得到开发和商业化。这些方法在学术或工业实践中尚未得到很好的确立,支持数据也很稀缺。在此,我们综述了用于量化rAAV质量属性的既定和即将出现的分析方法。在评估每种方法时,我们强调了在rAAV的快速在线表征方面取得的进展。此外,我们确定从传统方法向新方法转变的一个关键挑战是后者在学术和工业方面经验的稀缺。这篇文献综述可作为在rAAV介导的基因治疗工艺开发过程中选择针对质量属性进行快速、高通量工艺表征的分析方法的指南。