抗体-药物结合体表征和质量控制中的多属性方法:机遇,挑战和监管前景
Devendra Kumar1, Neerja Trivedi2
1Department of Pediatrics, Hematology/Oncology Division, University of Nebraska Medical Center, Omaha, NE, USA.
Journal of chromatography. A
|January 22, 2026
概括
使用质谱的多属性方法 (MAM) 为抗体-药物联结物 (ADC) 提供了先进的表征. 这些方法为复杂的生物治疗药物提供了敏感和特定的质量控制,解决了ADC开发中的挑战.
科学领域:
- 生物制药开发 生物制药开发
- 分析化学 分析化学
- 质谱测量质量谱测量
背景情况:
- 抗体-药物联合体 (ADC) 是复杂的生物治疗药物,具有固有的结构异质性.
- 这种异质性在ADC开发过程中对表征和质量控制提出了重大挑战.
研究的目的:
- 审查应用多属性方法 (MAM) 对抗体-药物合物 (ADC) 开发的最新进展.
- 突出MAM在监测关键质量属性和解决ADC表征方面的挑战方面的作用.
主要方法:
- 使用基于高分辨率质谱的多属性方法 (MAM).
- 在完整的蛋白质,亚单位和水平上分析ADC.
- 将MAM与传统分析技术进行比较.
主要成果:
- 在ADC中,MAM可以同时识别和量化ADC中的关键质量属性.
- 与传统测定相比,MAM提供了更高的特异性,灵敏度和检测出意想不到的修改.
- 使用MAM监测药物与抗体比率 (DAR) 分布,结合部位占用率和链接器/有效载荷稳定性的策略得到了强调.
结论:
- MAM是用于ADC表征和质量控制的强大而通用的平台.
- 解决方法资格,数据处理和监管接受方面的挑战对于MAM实施至关重要.
- 自动化和机器学习可以增强ADC的大规模MAM应用,支持监管提交和发布测试.
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