Institute for Biochemistry, University of Applied Sciences Mannheim, 68163 Mannheim, Germany.
Roche Diagnostics GmbH, Pharma Research and Early Development (pRED), Large Molecule Research (LMR), Roche Innovation Center Munich, 82377 Penzberg, Germany.
J Chromatogr A. 2023 Jan 25;1689:463730. doi: 10.1016/j.chroma.2022.463730. Epub 2022 Dec 20.
The objective of this scientific work was to model and simulate the complex anti-Langmuir elution behavior of a bispecific monoclonal antibody (bsAb) under high loading conditions on the strong cation exchange resin POROS™ XS. The bsAb exhibited anti-Langmuirian elution behavior as a consequence of self-association expressed both in uncommon retentions and peak shapes highly atypical for antibodies. The widely applied Steric Mass Action (SMA) model was unsuitable here because it can only describe Langmuirian elution behavior and is not able to describe protein-protein interactions in the form of self-association. For this reason, a Self-Association SMA (SAS-SMA) model was applied, which was extended by two activity coefficients for the salt and protein in solution. This model is able to describe protein-protein interactions in the form of self-dimerization and thus can describe anti-Langmuir elution behavior. Linear gradient elution (LGE) experiments were carried out to obtain a broad dataset ranging from pH 4.5 to 7.3 and from 50 to 375 mmol/L Na for model parameter determination. High loading LGE experiments were conducted with an increasing load from 0.5 up to 75.0 mg/mL. Thereby, pH-dependent empirical correlations for the activity coefficient of the solute protein, for the equilibrium constant of the self-dimerization process and for the shielding factor could be set up and ultimately incorporated into the SAS-SMA model. This pH-dependent SAS-SMA model was thus able to simulate anti-Langmuir behavior over extended ranges of pH, counterion concentration, and column loading. The model was confirmed by experimental verification of simulated linear pH gradient elutions up to a load of 75.0 mg/mL.
这项科学工作的目的是模拟和模拟在强阳离子交换树脂 POROS XS 上高负荷条件下双特异性单克隆抗体(bsAb)的复杂反朗缪尔洗脱行为。bsAb 表现出反朗缪尔洗脱行为,这是由于其自身缔合的结果,这种自身缔合表现为不常见的保留时间和非常典型的抗体峰形。广泛应用的立体质量作用(SMA)模型在这里不适用,因为它只能描述朗缪尔洗脱行为,并且不能以自身缔合的形式描述蛋白质-蛋白质相互作用。因此,应用了自缔合 SMA(SAS-SMA)模型,该模型通过两个用于盐和溶液中蛋白质的活度系数进行了扩展。该模型能够以自二聚化的形式描述蛋白质-蛋白质相互作用,因此能够描述反朗缪尔洗脱行为。进行线性梯度洗脱(LGE)实验以获得广泛的数据集,范围从 pH 4.5 到 7.3 以及从 50 到 375 mmol/L Na,用于模型参数确定。进行高负荷 LGE 实验,从 0.5 增加到 75.0 mg/mL 进行负荷增加。由此,可以设定溶质蛋白质的活度系数、自二聚化过程的平衡常数和屏蔽因子的 pH 依赖性经验相关性,并最终将其纳入 SAS-SMA 模型。因此,这种 pH 依赖性 SAS-SMA 模型能够模拟在 pH、反离子浓度和柱负荷广泛范围内的反朗缪尔行为。通过模拟线性 pH 梯度洗脱至 75.0 mg/mL 的实验验证确认了该模型。