亲和度解析尺寸排除染色学与质谱学相结合:一种用于研究治疗单克隆抗体中属性和功能关系的新工具
Yuetian Yan1, Tao Xing1, Xiaoxiao Huang1
1Analytical Chemistry, Regeneron Pharmaceuticals Inc., 777 Old Saw Mill River Road, Tarrytown, New York 10591-6707, United States.
Analytical chemistry
|July 10, 2024
概括
一种新的亲和度解析尺寸排除色谱-质谱法 (AR-SEC-MS) 方法可以快速评估治疗单克隆抗体 (mAbs) 中的关键质量属性 (CQAs). 这种技术通过分析属性和功能关系来提高药物安全性和疗效的评估.
科学领域:
- 生物制药的发展.
- 分析化学是一种分析化学.
- 质谱测量质量谱测量
背景情况:
- 关键质量属性 (CQAs) 对治疗单克隆抗体 (mAb) 的安全性和有效性至关重要.
- 传统的CQA识别方法往往耗时且不那么多重.
研究的目的:
- 开发一种新的,快速的,高度多重化的方法,用于治疗 mAbs.中的CQA评估.
- 为了证明该方法在评估属性和功能关系中的适用性.
主要方法:
- 开发一种亲和度解析的大小排除色谱-质谱 (AR-SEC-MS) 技术.
- 利用Fc马受体III-A (FcγRIIIa) 和Fc相互作用作为一个模型系统.
- 应用了评估双特异性和单特异性抗体中CQAs的方法,包括糖化和氧化.
主要成果:
- AR-SEC-MS方法为CQA评估提供了广泛的适用性,快速的周转和高多重性.
- 在研究Fc受体参与和属性与功能关系方面证明了有效性.
- 在案例研究中成功确定了与抗体标结合相关的CQAs.
结论:
- AR-SEC-MS是一个强大的工具,用于治疗 mAb 开发中的快速 CQA 评估.
- 该方法有助于更深入地了解特定属性如何影响抗体功能.
- 能够有效地识别影响药物安全性和有效性的关键属性.
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