Liu Jian-Zhong, Du Chao-Yang, Gao Han, Wang Haibin, Hu Feng, Fang Wei-Jie
Institute of Drug Metabolism and Pharmaceutical Analysis, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
Taizhou Institute of Zhejiang University, Taizhou, 317000, China.
Pharm Res. 2024 Dec;41(12):2299-2317. doi: 10.1007/s11095-024-03796-x. Epub 2024 Dec 13.
Antibody-drug conjugate (ADC) size variants are frequently assessed by size exclusion chromatography (SEC). However, poor chromatography performance is often observed during SEC analysis. Existing studies have primarily focused on qualitatively describing non-specific interactions between ADCs and the column matrix. The purposes of the current study are to introduce an underlying cause from a novel perspective on the protein-protein interaction (PPI) mechanism, characterized by quantifying diffusion interaction parameter (k) values, and to provide several strategies to reduce PPI and improve column performance during SEC analysis.
Two kinds of ADCs with varying hydrophobicity properties and their corresponding monoclonal antibodies are used as models. The hydrophobicity of these products was verified using the relative calculated logarithm of the partition coefficient of a substance in n-octanol (oil) and water (rCLogP) and reversed-phase high performance liquid chromatography (RP-HPLC), and the size variants were analyzed using SEC. Finally, the PPI was characterized by k values of these four products.
The results of rCLogP and RP-HPLC indicated that ADC-1 is relatively hydrophobic, whereas ADC-2 is relatively hydrophilic. In the SEC analysis of the ADC-1, substituting sodium chloride with L-arginine hydrochloride or adding a specific concentration of acetonitrile as an organic solvent to the mobile phase resulted in reduced PPI and enhanced column performance. Conversely, the impact on ADC-2 was negligible.
This study provides insights into improving the performance of SEC analysis for ADCs through strategies involving alterations in mobile phase composition. The changes in column performance can be quantitatively explained by the PPI mechanism.
抗体药物偶联物(ADC)的大小变体通常通过尺寸排阻色谱法(SEC)进行评估。然而,在SEC分析过程中经常观察到较差的色谱性能。现有研究主要集中在定性描述ADC与柱基质之间的非特异性相互作用。本研究的目的是从蛋白质-蛋白质相互作用(PPI)机制的新角度引入一个潜在原因,通过量化扩散相互作用参数(k)值来表征,并提供几种策略以减少PPI并在SEC分析过程中提高柱性能。
使用两种具有不同疏水性的ADC及其相应的单克隆抗体作为模型。使用物质在正辛醇(油)和水(rCLogP)中的分配系数的相对计算对数以及反相高效液相色谱法(RP-HPLC)验证这些产品的疏水性,并使用SEC分析大小变体。最后,通过这四种产品的k值表征PPI。
rCLogP和RP-HPLC的结果表明,ADC-1相对疏水,而ADC-2相对亲水。在ADC-1的SEC分析中,用L-精氨酸盐酸盐替代氯化钠或向流动相中添加特定浓度的乙腈作为有机溶剂可降低PPI并提高柱性能。相反,对ADC-2的影响可忽略不计。
本研究通过涉及流动相组成改变的策略,为改善ADC的SEC分析性能提供了见解。柱性能的变化可以通过PPI机制进行定量解释。