Hippach Michael B, Schwartz Ian, Pei Jian, Huynh Jimmy, Kawai Yasuaki, Zhu Marie M
Process Sciences and Manufacturing, Agensys, Inc., 1800 Stewart Street, Santa Monica, California, 90404.
Process Science Lab I, Biotechnology Labs, Astellas Pharma, Inc., 5-2-3, Tokodai, Tsukuba-shi, Ibaraki, 300-2698, Japan.
Biotechnol Prog. 2018 Nov;34(6):1427-1437. doi: 10.1002/btpr.2697. Epub 2018 Sep 12.
During a CHO cell culture production process, important parameters are generally well controlled by a feedback mechanism (PID loop) in order to ensure consistency in both productivity and product quality. These parameters typically include pH, dissolved oxygen (DO), and temperature. While most of these parameters are very well controlled within their specific deadband, stable DO control can be challenging. Oscillations in DO concentration are not uncommon and these fluctuations can be exacerbated with an efficient mass transfer aeration strategy. In this study, where an IgG producing cell line was used, we observed increased lactate accumulation accompanied by decreased titer production in lots with fluctuations in DO concentration (DO ) when compared with lots with stable DO control (DO ). We demonstrate that DO had a greater impact on performance with respect to titer production and lactate accumulation than DO setpoint. Furthermore, we report that estimated specific oxygen uptake rates (qOURs) were lower in DO lots when compared with DO lots. We also report that purified mAb sourced from DO lots yielded lower drug-to-antibody ratio (DAR) after the sulfhydryl-targeted maleimide conjugation process when equivalent reducing agent was used. All mAb lots were within the analytical specifications for release, though a slight increase in measureable trisulfides were observed in DO mAb lots. DO control aimed to minimize fluctuations around DO setpoint was essential for us to produce consistent DAR without adjusting the conjugation process. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1427-1437, 2018.
在CHO细胞培养生产过程中,重要参数通常由反馈机制(PID回路)进行良好控制,以确保生产率和产品质量的一致性。这些参数通常包括pH值、溶解氧(DO)和温度。虽然这些参数中的大多数在其特定的死区内得到了很好的控制,但稳定的DO控制可能具有挑战性。DO浓度的振荡并不罕见,并且这些波动会因高效的传质曝气策略而加剧。在本研究中,使用了一种产生IgG的细胞系,我们观察到与DO稳定控制的批次(DO)相比,DO浓度(DO)波动的批次中乳酸积累增加,同时滴度产量下降。我们证明,相对于滴度产量和乳酸积累,DO对性能的影响比DO设定点更大。此外,我们报告,与DO批次相比,DO批次中估计的比氧摄取率(qOURs)较低。我们还报告,当使用等量还原剂时,来自DO批次的纯化单克隆抗体在巯基靶向马来酰亚胺偶联过程后产生的药物与抗体比率(DAR)较低。所有单克隆抗体制剂均符合放行的分析规格,尽管在DO单克隆抗体制剂中观察到可测量的三硫化物略有增加。旨在最小化围绕DO设定点的波动的DO控制对于我们在不调整偶联过程的情况下生产一致的DAR至关重要。©2018美国化学工程师学会生物技术进展,34:1427 - 1437,2018。