Evans Adam R, Mulholland Joseph, Lewis Michael J, Hu Ping
Therapeutics Development & Supply - Analytical Development, Janssen Pharmaceuticals Research and Development, Malvern, PA, USA.
MAbs. 2024 Jan-Dec;16(1):2341641. doi: 10.1080/19420862.2024.2341641. Epub 2024 Apr 23.
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.
利用质谱(MS)进行肽图分析是生物制药行业中蛋白质表征的重要工具。从历史上看,肽图分析在开发过程中监测蛋白质产品和工艺中间体的翻译后修饰(PTM)。多属性监测(MAM)方法此前已用于商业放行和稳定性测试组,以确保对选定的关键质量属性(CQA)进行控制。我们的目标是将MAM方法用作专门针对CQA的整体分析测试策略的一部分,同时去除或替换由于共洗脱而无法有效区分CQA和非CQA的传统分离方法。例如,在本研究中,我们开发了一种策略,使用MAM方法结合传统纯度方法来替代基于图谱的离子交换色谱(IEC)方法,以确保对一种商业抗体(单克隆抗体)药物产品(DP)的电荷变体CQA进行控制。为支持商业测试策略的这一变化,在开发过程中通过高分辨率液相色谱-质谱(LC-MS)和液相色谱-串联质谱(LC-MS/MS)对电荷变体CQA进行了鉴定和表征。电荷变体CQA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 CQA,并结合尺寸排阻色谱(SE-HPLC)和毛细管电泳(CE-SDS)测量非PTM电荷变体CQA,实现了从DP规格中去除IEC方法。商业营销申请中包含了MAM、IEC和SE-HPLC方法之间的桥接数据,以证明从DP规格中去除IEC的合理性。我们还将这种MAM方法用作鉴别测试,以减少QC检测的数量。该策略已获得多个卫生当局的批准。