Armstrong Georgina Bethany, Roche Aisling, Lewis William, Rattray Zahra
Drug Substance Development, GlaxoSmithKline, Stevenage, UK.
Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
MAbs. 2024 Jan-Dec;16(1):2438172. doi: 10.1080/19420862.2024.2438172. Epub 2024 Dec 11.
Monoclonal antibody (mAb) solution viscosity in ultra-high concentration formulations is a key developability consideration in mAb development risk mitigation strategies that has implications for downstream processing and patient safety. Predicting viscosity at therapeutically relevant concentrations remains critical, despite the need for large mAb quantities for viscosity measurement being prohibitive. Using a panel of IgG1s, we examined the suitability of viscosity prediction and fitting models at different mAb test concentration regimes. Our findings caution against extrapolation from low concentration measurements, as they lack predictive ability for ultra-high concentration regimes. For the first time, we demonstrate the importance of analyte concentration range selection, and the need for bespoke viscosity model development.
超高浓度制剂中的单克隆抗体(mAb)溶液粘度是mAb开发风险缓解策略中的一个关键可开发性考量因素,对下游加工和患者安全都有影响。尽管需要大量单克隆抗体来进行粘度测量,这一要求令人望而却步,但预测治疗相关浓度下的粘度仍然至关重要。我们使用一组IgG1抗体,研究了不同单克隆抗体测试浓度范围下粘度预测和拟合模型的适用性。我们的研究结果提醒不要从低浓度测量值进行外推,因为它们缺乏对超高浓度范围的预测能力。我们首次证明了分析物浓度范围选择的重要性,以及开发定制粘度模型的必要性。