Haraya Kenta, Ichikawa Takuya, Murao Naoaki, Katada Hitoshi, Kuramochi Taichi
Research Division, Chugai Pharmaceutical Co. Ltd, Yokohama, Kanagawa, Japan.
MAbs. 2025 Dec;17(1):2484443. doi: 10.1080/19420862.2025.2484443. Epub 2025 Mar 25.
Human FcRn transgenic mice (Tg32) have been widely used to evaluate the pharmacokinetics of mAbs and predict human pharmacokinetics. This study aims to establish an approach for predicting the human pharmacokinetics of Fc-engineered mAbs with enhanced FcRn binding mutations using Tg32 mice. MAbs were intravenously administered at 10 mg/kg in the absence or presence of IVIG (1000 mg/kg) in Tg32 mice. Pharmacokinetic parameters (CL, Q, V, and V) estimated in Tg32 mice were compared with clinical data. Optimal allometric scaling exponents were determined to improve the accuracy of human pharmacokinetic predictions for Fc-engineered mAbs. Moreover, we predicted the plasma concentration-time profile after IV injection in humans using parameters estimated based on an optimized exponent. While normal mAbs exhibited a higher CL in the presence of IVIG compared to its absence, Fc-engineered mAbs showed comparable CL in both conditions. The larger difference in CL between normal and Fc-engineered mAbs observed in the presence of IVIG closely matched clinical study results. A significant positive correlation between Tg32 mice and humans was observed in the CL of Fc-engineered mAbs in both the absence and presence of IVIG. The estimated optimal exponents for CL, Q, V, and V were 0.73, 0.60, 0.95, and 0.87, respectively. Using these exponents, the plasma mAb concentration-time profile after IV injection in humans was accurately predicted. This study establishes a robust methodology for accurately predicting the human pharmacokinetics of Fc-engineered mAbs using Tg32 mice, achieving prediction accuracy comparable to that of cynomolgus monkeys. This approach, as a viable alternative to cynomolgus monkeys, can accelerate the preclinical development of promising Fc-engineered mAbs with enhanced FcRn binding.
人FcRn转基因小鼠(Tg32)已被广泛用于评估单克隆抗体的药代动力学并预测人体药代动力学。本研究旨在建立一种方法,使用Tg32小鼠预测具有增强FcRn结合突变的Fc工程化单克隆抗体的人体药代动力学。在Tg32小鼠中,在不存在或存在静脉注射免疫球蛋白(IVIG,1000 mg/kg)的情况下,以10 mg/kg的剂量静脉注射单克隆抗体。将Tg32小鼠中估计的药代动力学参数(CL、Q、V和V)与临床数据进行比较。确定了最佳的异速生长比例指数,以提高Fc工程化单克隆抗体人体药代动力学预测的准确性。此外,我们使用基于优化指数估计的参数预测了人静脉注射后的血浆浓度-时间曲线。虽然正常单克隆抗体在存在IVIG时的CL高于不存在IVIG时,但Fc工程化单克隆抗体在两种情况下的CL相当。在存在IVIG的情况下,正常单克隆抗体和Fc工程化单克隆抗体之间CL的较大差异与临床研究结果密切匹配。在不存在和存在IVIG的情况下,Fc工程化单克隆抗体在Tg32小鼠和人类中的CL之间均观察到显著的正相关。CL、Q、V和V的估计最佳指数分别为0.73、0.60、0.95和0.87。使用这些指数,准确预测了人静脉注射后血浆中单克隆抗体的浓度-时间曲线。本研究建立了一种稳健的方法,使用Tg32小鼠准确预测Fc工程化单克隆抗体的人体药代动力学,实现了与食蟹猴相当的预测准确性。这种方法作为食蟹猴的可行替代方案,可以加速具有增强FcRn结合的有前景的Fc工程化单克隆抗体的临床前开发。