Gallo James M
Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA.
Clin Transl Sci. 2021 May;14(3):1082-1091. doi: 10.1111/cts.12975. Epub 2021 May 1.
A novel coronavirus, severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) or coronavirus disease 2019 (COVID-19), has caused a pandemic that continues to cause catastrophic health and economic carnage and has escalated the identification and development of antiviral agents. Remdesivir (RDV), a prodrug and requires intracellular conversions to the active triphosphate nucleoside (TN) has surfaced as an active anti-SARS-CoV-2 drug. To properly design therapeutic treatment regimens, it is imperative to determine if adequate intracellular TN concentrations are achieved in target tissues, such as the lungs. Because measurement of such concentrations is unrealistic in patients, a physiologically-based pharmacokinetic (PBPK) model was developed to characterize RDV and TN disposition. Specifically, a hybrid PBPK model was developed based on previously reported data in humans. The model represented each tissue as a two-compartment model-both extracellular and intracellular compartment wherein each intracellular compartment contained a comprehensive metabolic model to the ultimate active metabolite TN. Global sensitivity analyses and Monte-Carlo simulations were conducted to assess which parameters and how highly sensitive ones impacted peripheral blood mononuclear cells and intracellular lung TN profiles. Finally, clinical multiple-dose regimens indicated that minimum lung intracellular TN concentrations ranged from ~ 9 uM to 4 uM, which suggest current regimens are effective based on in vitro half-maximal effective concentration values. The model can be used to explore tissue drug disposition under various conditions and regimens, and expanded to pharmacodynamic models.
一种新型冠状病毒,即严重急性呼吸综合征冠状病毒2(SARS-CoV-2)或2019冠状病毒病(COVID-19),已引发一场大流行,持续造成灾难性的健康和经济损失,并加速了抗病毒药物的研发。瑞德西韦(RDV)是一种前药,需要在细胞内转化为活性三磷酸核苷(TN),已成为一种有效的抗SARS-CoV-2药物。为了合理设计治疗方案,必须确定在诸如肺等靶组织中是否能达到足够的细胞内TN浓度。由于在患者中测量此类浓度不现实,因此开发了一种基于生理学的药代动力学(PBPK)模型来描述RDV和TN的处置情况。具体而言,基于先前报道的人体数据开发了一种混合PBPK模型。该模型将每个组织表示为一个双室模型,包括细胞外和细胞内室,其中每个细胞内室都包含一个通向最终活性代谢物TN的综合代谢模型。进行了全局敏感性分析和蒙特卡洛模拟,以评估哪些参数以及高度敏感的参数如何影响外周血单核细胞和细胞内肺TN分布。最后,临床多剂量方案表明,肺细胞内TN的最低浓度范围约为9μM至4μM,这表明基于体外半数最大效应浓度值,当前方案是有效的。该模型可用于探索各种条件和方案下的组织药物处置情况,并扩展为药效学模型。