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在生物反应器CHO细胞培养过程中,通过原位拉曼光谱实时监测抗体糖基化位点占有率。

Real-time monitoring of antibody glycosylation site occupancy by in situ Raman spectroscopy during bioreactor CHO cell cultures.

作者信息

Li Meng-Yao, Ebel Bruno, Paris Cédric, Chauchard Fabien, Guedon Emmanuel, Marc Annie

机构信息

Laboratoire Réactions et Génie des Procédés, CNRS-Lorraine University, UMR 7274, Vandœuvre-lès-Nancy, France.

Platform of Structural and Metabolomics Analyses, SF4242, EFABA, Lorraine University, Vandœuvre-lès-Nancy, France.

出版信息

Biotechnol Prog. 2018 Mar;34(2):486-493. doi: 10.1002/btpr.2604. Epub 2018 Jan 21.

Abstract

The glycosylation of therapeutic monoclonal antibodies (mAbs), a known critical quality attribute, is often greatly modified during the production process by animal cells. It is essential for biopharmaceutical industries to monitor and control this glycosylation. However, current glycosylation characterization techniques involve time- and labor-intensive analyses, often carried out at the end of the culture when the product is already synthesized. This study proposes a novel methodology for real-time monitoring of antibody glycosylation site occupancy using Raman spectroscopy. It was first observed in CHO cell batch culture that when low nutrient concentrations were reached, a decrease in mAb glycosylation was induced, which made it essential to rapidly detect this loss of product quality. By combining in situ Raman spectroscopy with chemometric tools, efficient prediction models were then developed for both glycosylated and nonglycosylated mAbs. By comparing variable importance in projection profiles of the prediction models, it was confirmed that Raman spectroscopy is a powerful method to distinguish extremely similar molecules, despite the high complexity of the culture medium. Finally, the Raman prediction models were used to monitor batch and feed-harvest cultures in situ. For the first time, it was demonstrated that the concentrations of glycosylated and nonglycosylated mAbs could be successfully and simultaneously estimated in real time with high accuracy, including their sudden variations due to medium exchanges. Raman spectroscopy can thus be considered as a promising PAT tool for feedback process control dedicated to on-line optimization of mAb quality. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:486-493, 2018.

摘要

治疗性单克隆抗体(mAb)的糖基化是一个已知的关键质量属性,在动物细胞生产过程中常常会发生很大改变。对于生物制药行业而言,监测和控制这种糖基化至关重要。然而,当前的糖基化表征技术涉及耗时且费力的分析,通常在培养结束时产品已合成时进行。本研究提出了一种使用拉曼光谱实时监测抗体糖基化位点占有率的新方法。首先在CHO细胞分批培养中观察到,当达到低营养浓度时,会诱导mAb糖基化降低,这使得快速检测这种产品质量损失变得至关重要。通过将原位拉曼光谱与化学计量工具相结合,随后针对糖基化和非糖基化mAb开发了高效的预测模型。通过比较预测模型投影轮廓中的变量重要性,证实了尽管培养基高度复杂,但拉曼光谱是区分极其相似分子的有力方法。最后,拉曼预测模型被用于原位监测分批培养和补料收获培养。首次证明可以高精度实时成功且同时估计糖基化和非糖基化mAb的浓度,包括由于培养基更换导致的突然变化。因此,拉曼光谱可被视为一种有前景的过程分析技术(PAT)工具,用于致力于mAb质量在线优化的反馈过程控制。© 2018美国化学工程师学会生物技术进展,34:486 - 493,2018年。

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