Targeted CQA analytical control strategy for commercial antibody products: Replacing ion-exchange chromatography methods for charge heterogeneity with multi-attribute monitoring

IF 5.6 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL mAbs Pub Date : 2024-04-23 DOI:10.1080/19420862.2024.2341641
Adam R Evans, Joseph Mulholland, Michael J Lewis, Ping Hu
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Abstract

ABSTRACT Peptide mapping with mass spectrometry (MS) is an important tool for protein characterization in the biopharmaceutical industry. Historically, peptide mapping monitors post-translational modifications (PTMs) of protein products and process intermediates during development. Multi-attribute monitoring (MAM) methods have been used previously in commercial release and stability testing panels to ensure control of selected critical quality attributes (CQAs). Our goal is to use MAM methods as part of an overall analytical testing strategy specifically focused on CQAs, while removing or replacing historical separation methods that do not effectively distinguish CQAs from non-CQAs due to co-elution. For example, in this study, we developed a strategy to replace a profile-based ion-exchange chromatography (IEC) method using a MAM method in combination with traditional purity methods to ensure control of charge variant CQAs for a commercial antibody (mAb) drug product (DP). To support this change in commercial testing strategy, the charge variant CQAs were identified and characterized during development by high-resolution LC-MS and LC-MS/MS. The charge variant CQAs included PTMs, high molecular weight species, and low molecular weight species. Thus, removal of the IEC method from the DP specification was achieved using a validated LC-MS MAM method on a QDa system to directly measure the charge variant PTM CQAs in combination with size exclusion chromatography (SE-HPLC) and capillary electrophoresis (CE-SDS) to measure the non-PTM charge variant CQAs. Bridging data between the MAM, IEC, and SE-HPLC methods were included in the commercial marketing application to justify removing IEC from the DP specification. We have also used this MAM method as a test for identity to reduce the number of QC assays. This strategy has received approvals from several health authorities.
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针对商业抗体产品的 CQA 分析控制策略:用多属性监测取代电荷异质性离子交换色谱法
摘要 利用质谱(MS)进行肽图绘制是生物制药行业蛋白质表征的重要工具。从历史上看,肽图法可在开发过程中监测蛋白质产品和加工中间体的翻译后修饰 (PTM)。多属性监测(MAM)方法以前曾用于商业释放和稳定性测试面板,以确保对选定关键质量属性(CQA)的控制。我们的目标是将 MAM 方法用作专门针对 CQAs 的整体分析测试策略的一部分,同时去除或取代以往的分离方法,因为这些方法由于共洗脱而无法有效区分 CQAs 与非 CQAs。例如,在本研究中,我们开发了一种策略,使用 MAM 方法结合传统的纯度方法来取代基于曲线的离子交换色谱 (IEC) 方法,以确保对商业抗体 (mAb) 药物产品 (DP) 的电荷变异 CQAs 的控制。为支持这一商业测试策略的改变,在开发过程中通过高分辨率 LC-MS 和 LC-MS/MS 对电荷变异 CQAs 进行了鉴定和表征。电荷变体 CQAs 包括 PTM、高分子量物种和低分子量物种。因此,通过在 QDa 系统上使用经过验证的 LC-MS MAM 方法直接测量电荷变体 PTM CQAs,并结合尺寸排阻色谱法(SE-HPLC)和毛细管电泳法(CE-SDS)测量非 PTM 电荷变体 CQAs,实现了从 DP 规范中删除 IEC 方法。商业营销申请中包含了 MAM、IEC 和 SE-HPLC 方法之间的衔接数据,以证明将 IEC 从 DP 规范中删除是合理的。我们还将这种 MAM 方法用作鉴定测试,以减少质量控制检测的数量。这一策略已获得多家卫生机构的批准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
mAbs
mAbs 工程技术-仪器仪表
CiteScore
10.70
自引率
11.30%
发文量
77
审稿时长
6-12 weeks
期刊介绍: mAbs is a multi-disciplinary journal dedicated to the art and science of antibody research and development. The journal has a strong scientific and medical focus, but also strives to serve a broader readership. The articles are thus of interest to scientists, clinical researchers, and physicians, as well as the wider mAb community, including our readers involved in technology transfer, legal issues, investment, strategic planning and the regulation of therapeutics.
期刊最新文献
Sequence-based engineering of pH-sensitive antibodies for tumor targeting or endosomal recycling applications. Systematic analysis of Fc mutations designed to reduce binding to Fc-gamma receptors Navigating large-volume subcutaneous injections of biopharmaceuticals: a systematic review of clinical pipelines and approved products Antibody association in solution: cluster distributions and mechanisms Targeted CQA analytical control strategy for commercial antibody products: Replacing ion-exchange chromatography methods for charge heterogeneity with multi-attribute monitoring
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