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宿主细胞蛋白(HCPs)分析:从生物制药 mAb 分析到基因治疗产品的经验教训。

Analytics of host cell proteins (HCPs): lessons from biopharmaceutical mAb analysis for Gene therapy products.

机构信息

Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK.

CPI, 1 Union Square, Central Park, Darlington, DL1 1GL, UK.

出版信息

Curr Opin Biotechnol. 2021 Oct;71:98-104. doi: 10.1016/j.copbio.2021.06.026. Epub 2021 Jul 24.

Abstract

Analytics for host cell protein (HCP) analysis of therapeutic monoclonal antibody preparations have developed enormously. We consider how learnings from this can inform HCP analysis of gene therapy viral vector products. The application of mass spectrometry (MS) approaches for analysis of HCPs in viral vector preparations is being established, although such information remains limited and is yet to be widely applied into process or host cell line development to reduce HCP amounts or risk. As these MS approaches, and the data from them, are applied and become available, the process understanding created will speed process development activity. We describe technologies that have been, or can be, applied to viral vector HCP analysis to aid process development, reduce HCP amounts, identify critical HCPs and thus inform risk assessment and management based on a knowledge of specific HCPs, ultimately delivering safe and efficacious gene therapy products to the clinic.

摘要

用于治疗性单克隆抗体制剂的宿主细胞蛋白 (HCP) 分析的分析技术已经有了巨大的发展。我们考虑如何从这些技术中获得信息,以指导基因治疗病毒载体产品的 HCP 分析。尽管此类信息仍然有限,并且尚未广泛应用于工艺或宿主细胞系开发以降低 HCP 数量或风险,但质谱 (MS) 方法在病毒载体制剂中分析 HCP 的应用正在建立。随着这些 MS 方法的应用和数据的可用性,所创建的过程理解将加速工艺开发活动。我们描述了已经或可以应用于病毒载体 HCP 分析的技术,以帮助工艺开发,降低 HCP 数量,识别关键 HCP,并根据对特定 HCP 的了解进行风险评估和管理,最终将安全有效的基因治疗产品推向临床。

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