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二维和四维液相色谱/质谱技术简化抗体药物偶联物的表征。

Streamlined Characterization of an Antibody-Drug Conjugate by Two-Dimensional and Four-Dimensional Liquid Chromatography/Mass Spectrometry.

机构信息

School of Pharmaceutical Sciences , University of Geneva, University of Lausanne, CMU , Rue Michel-Servet, 1 , 1206 Geneva , Switzerland.

Protein Analytical Chemistry , Genentech , 1 DNA Way , South San Francisco , California 94080 , United States.

出版信息

Anal Chem. 2019 Dec 3;91(23):14896-14903. doi: 10.1021/acs.analchem.9b02454. Epub 2019 Oct 30.

Abstract

This study describes the use of a multidimensional HPLC (2D and 4D) system for a faster and more effective characterization of an antibody-drug conjugate (ADC) product, compared to the standard off-line approach of fraction collection and off-line variant characterization. The size variants of an interchain cysteine-linked ADC were characterized to understand the effect of the different drug-to-antibody ratio (DAR) species on aggregate formation. For this purpose, the ADC product and a full panel of stressed samples were analyzed. The dimeric ADC species were baseline resolved from the main peak (Rs = 2.7) by UHP-SEC (ultra-high-performance size exclusion chromatography) under nondenaturing conditions using a buffered mobile phase containing 5% 2-propanol. A 2D-LC (SEC-HIC) method was then developed to compare the average DAR values of the main peak species vs the aggregates. A 4D-LC/MS method (SEC-reduction-digestion-RPHPLC) was also developed to determine levels of potential critical quality attributes (pCQAs) including aggregation, average DAR, oxidation, and deamidation, in a 2 h run. An average DAR value of 3.5-3.6 was found for the main peak using both 2D-LC and 4D-LC methods, and these values were consistent with DAR determined by the in-house reference hydrophobic interaction chromatography (HIC) method. The multidimensional LC approaches also showed an increase in the content of high-DAR species in the SEC fractions containing the aggregates. Overall the entire workflow of data acquisition is completed within a day using the multidimensional on-line approach, in comparison to multiple days required with the traditional off-line approaches.

摘要

本研究描述了多维 HPLC(二维和四维)系统在更快、更有效地对抗体药物偶联物(ADC)产品进行特征分析方面的应用,与传统的离线馏分收集和离线变异特征分析方法相比。通过对链间半胱氨酸连接的 ADC 的大小变异体进行表征,以了解不同药物抗体比(DAR)物种对聚集形成的影响。为此,对 ADC 产品和完整的应激样品进行了分析。在非变性条件下,使用含有 5% 2-丙醇的缓冲流动相,通过 UHP-SEC(超高效尺寸排阻色谱)将二聚体 ADC 物种基线分离从主峰(Rs = 2.7),然后开发了二维 LC(SEC-HIC)方法来比较主峰物种与聚集物的平均 DAR 值。还开发了 4D-LC/MS 方法(SEC-还原-消化-RPHPLC),以在 2 小时运行中确定潜在关键质量属性(pCQAs)的水平,包括聚集、平均 DAR、氧化和脱酰胺。使用二维 LC 和 4D-LC 方法,均发现主峰的平均 DAR 值为 3.5-3.6,这些值与内部参考疏水性相互作用色谱(HIC)方法测定的 DAR 值一致。多维 LC 方法还表明,在含有聚集物的 SEC 馏分中,高 DAR 物种的含量增加。与传统的离线方法需要数天相比,使用多维在线方法,整个数据采集工作流程在一天内即可完成。

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