Innovation Management, Bilfinger Life Science GmbH, Salzburg, Austria.
Institute of Bioprocess Science and Engineering, Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.
Biotechnol Prog. 2022 Sep;38(5):e3261. doi: 10.1002/btpr.3261. Epub 2022 May 4.
Glycation on lysine side chains of recombinant monoclonal antibodies (mAb) is a well-known phenomenon in manufacturing processes of biopharmaceuticals that potentially alter the efficacy of the therapeutic protein. In the present study, we report kinetic studies of glycation formation of the model protein Adalimumab, relative to glucose and non-glycated protein in six Chinese hamster ovary (CHO) fed batch cultivations. We developed an in vivo model from glycation kinetic studies that is capable of estimating the reaction rate constant in static and dynamic bioprocesses, respectively. As anticipated, pseudo first order reactions with respect to present glucose concentration or non-glycated mAb were not sufficient to describe the glycation formation during the bioprocesses. However, second order reactions did not reveal linear relationship of glycated mAb to the product of glucose and non-glycated mAb either, suggesting that a reconsideration of the kinetic equation was necessary. With the introduction of a constraint using only the newly formed product (mAb ), the second-order reaction was successfully implemented. In addition, it is shown that the process knowledge derived from dynamic can be transferred to static experiments and vice versa. Hence, intensified design of experiments (iDoE) can be an applicable and useful tool in product quality studies in cell culture processes.
赖氨酸侧链糖基化是生物制药制造过程中一种众所周知的现象,可能会改变治疗蛋白的疗效。在本研究中,我们报告了模型蛋白阿达木单抗(Adalimumab)相对于葡萄糖和未糖基化蛋白在六种中国仓鼠卵巢(CHO)分批补料培养中的糖基化形成的动力学研究。我们从糖基化动力学研究中开发了一种体内模型,该模型能够分别估计静态和动态生物过程中的反应速率常数。正如预期的那样,相对于当前葡萄糖浓度或未糖基化 mAb 的假一级反应不足以描述生物过程中的糖基化形成。然而,二阶反应也没有揭示糖基化 mAb 与葡萄糖和未糖基化 mAb 的产物之间的线性关系,这表明有必要重新考虑动力学方程。通过仅使用新形成的产物(mAb)引入约束条件,成功实施了二阶反应。此外,还表明可以将从动态获得的过程知识转移到静态实验中,反之亦然。因此,强化实验设计(iDoE)可以成为细胞培养过程中产品质量研究的一种适用且有用的工具。