Chang Hsuan Ping, Cheung Yuen Kiu, Shah Dhaval K
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, Buffalo, NY 14214, USA.
J Clin Med. 2021 Mar 23;10(6):1332. doi: 10.3390/jcm10061332.
Monomethyl auristatin E (MMAE) is one of the most commonly used payloads for developing antibody-drug conjugates (ADC). However, limited studies have comprehensively evaluated the whole-body disposition of MMAE. Consequently, here, we have investigated the whole-body pharmacokinetics (PK) of MMAE in tumor-bearing mice. We show that while MMAE is rapidly eliminated from the plasma, it shows prolonged and extensive distribution in tissues, blood cells, and tumor. Highly perfused tissues (e.g., lung, kidney, heart, liver, and spleen) demonstrated tissue-to-plasma area under the concentration curve (AUC) ratios > 20, and poorly perfused tissues (e.g., fat, pancreas, skin, bone, and muscle) had ratios from 1.3 to 2.4. MMAE distribution was limited in the brain, and tumor had 8-fold higher exposure than plasma. A physiological-based pharmacokinetic (PBPK) model was developed to characterize the whole-body PK of MMAE, which accounted for perfusion/permeability-limited transfer of drug in the tissue, blood cell distribution of the drug, tissue/tumor retention of the drug, and plasma protein binding. The model was able to characterize the PK of MMAE in plasma, tissues, and tumor simultaneously, and model parameters were estimated with good precision. The MMAE PBPK model presented here can facilitate the development of a platform PBPK model for MMAE containing ADCs and help with their preclinical-to-clinical translation and clinical dose optimization.
单甲基奥瑞他汀E(MMAE)是开发抗体药物偶联物(ADC)最常用的有效载荷之一。然而,对MMAE全身处置进行全面评估的研究有限。因此,在此我们研究了MMAE在荷瘤小鼠中的全身药代动力学(PK)。我们发现,虽然MMAE能从血浆中快速清除,但它在组织、血细胞和肿瘤中呈现出长时间且广泛的分布。高灌注组织(如肺、肾、心脏、肝脏和脾脏)的组织与血浆浓度曲线下面积(AUC)比值>20,而低灌注组织(如脂肪、胰腺、皮肤、骨骼和肌肉)的比值为1.3至2.4。MMAE在脑中的分布有限,肿瘤中的暴露量比血浆高8倍。我们开发了一个基于生理的药代动力学(PBPK)模型来表征MMAE的全身PK,该模型考虑了药物在组织中的灌注/渗透限制转运、药物在血细胞中的分布、药物在组织/肿瘤中的滞留以及血浆蛋白结合。该模型能够同时表征MMAE在血浆、组织和肿瘤中的PK,并且模型参数的估计精度良好。本文提出的MMAE PBPK模型可促进包含MMAE的ADC平台PBPK模型的开发,并有助于其从临床前到临床的转化以及临床剂量优化。