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用于单克隆抗体 N-连接糖基化自动化监测的集成过程分析平台。

Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-Linked Glycosylation.

机构信息

Department of Chemical and Biochemical Engineering, School of Engineering, Rutgers The State University of New Jersey, Piscataway, New Jersey 08854, United States.

出版信息

Anal Chem. 2022 May 17;94(19):6986-6995. doi: 10.1021/acs.analchem.1c05396. Epub 2022 Apr 6.

Abstract

The biopharmaceutical industry is transitioning toward the adoption of continuous biomanufacturing practices that are often more flexible and efficient than traditional batch processes. Federal regulatory agencies are further urging the use of advanced process analytical technology (PAT) to analyze the design space to increase the process knowledge and enable high-quality biologic production. Post-translational modifications of proteins, such as N-linked glycosylation, are often critical quality attributes that affect biologics' safety and efficacy, requiring close monitoring during manufacturing. Here, we developed an online sequential-injection-based PAT system, called N-GLYcanyzer, which can rapidly monitor mAb glycosylation during upstream biomanufacturing. The key innovation includes the design of an integrated mAb sampling and fully automated sample derivation system for antibody titer and glycoform analysis within 3 h. The N-GLYcanyzer process includes mAb capture, deglycosylation, released glycan labeling with fluorescent dyes, and labeled glycan enrichment for direct injection/analysis on an integrated high-performance liquid chromatography system. Different fluorescent tags and reductants were tested to maximize glycan labeling efficiency under aqueous conditions, while porous graphitized carbon (PGC) was used for optimizing glycan recovery and enrichment. We found that 2-aminobenzamide labeling of glycans with 2-picoline borane as a reducing agent, using the N-GLYcanyzer workflow, shows higher glycan labeling efficiency under aqueous conditions, leading upward to a 5-fold increase in fluorescent product intensity. Finally, we showcase how the N-GLYcanyzer platform can be implemented at-/online in an upstream bioreactor for automated and near-real-time glycosylation monitoring of a Trastuzumab biosimilar produced by Chinese hamster ovary cells.

摘要

生物制药行业正在向连续生物制造实践转变,这些实践通常比传统的批处理过程更灵活、更高效。联邦监管机构进一步敦促使用先进的过程分析技术(PAT)来分析设计空间,以增加工艺知识并实现高质量的生物制品生产。蛋白质的翻译后修饰,如 N 连接糖基化,通常是影响生物制品安全性和疗效的关键质量属性,需要在生产过程中进行密切监测。在这里,我们开发了一种在线顺序注射式 PAT 系统,称为 N-GLYcanyzer,它可以在生物制造的上游过程中快速监测 mAb 的糖基化。关键的创新包括设计一个集成的 mAb 采样和全自动样本衍生系统,用于在 3 小时内进行抗体滴度和糖型分析。N-GLYcanyzer 工艺包括 mAb 捕获、去糖基化、用荧光染料标记释放的聚糖、以及标记的聚糖富集,以便直接在集成的高效液相色谱系统上进行注射/分析。测试了不同的荧光标记物和还原剂,以在水相条件下最大限度地提高聚糖标记效率,同时使用多孔石墨化碳(PGC)优化聚糖回收和富集。我们发现,使用 2-吡啶硼烷作为还原剂,用 2-氨基苯甲酰胺标记聚糖,在水相条件下显示出更高的聚糖标记效率,荧光产物强度增加了 5 倍。最后,我们展示了如何在生物反应器中实施 N-GLYcanyzer 平台,以便自动进行和实时监测中国仓鼠卵巢细胞生产的曲妥珠单抗生物类似物的糖基化。

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