Rox Katharina, Heyner Maxi, Krull Jana, Harmrolfs Kirsten, Rinne Valtteri, Hokkanen Juho, Perez Vilaro Gemma, Díez Juana, Müller Rolf, Kröger Andrea, Sugiyama Yuichi, Brönstrup Mark
Department of Chemical Biology, Helmholtz Centre for Infection Research (HZI), Inhoffenstrasse 7, 38124 Braunschweig, Germany.
German Centre for Infection Research (DZIF), Partner-Site Hannover-Braunschweig, 38124 Braunschweig, Germany.
ACS Pharmacol Transl Sci. 2021 Aug 30;4(5):1499-1513. doi: 10.1021/acsptsci.1c00078. eCollection 2021 Oct 8.
While a drug treatment is unavailable, the global incidence of Dengue virus (DENV) infections and its associated severe manifestations continues to rise. We report the construction of the first physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) model that predicts viremia levels in relevant target organs based on preclinical data with the broad spectrum antiviral soraphen A (SorA), an inhibitor of the host cell target acetyl-CoA-carboxylase. SorA was highly effective against DENV (EC = 4.7 nM) and showed efficacy by inducing a significant reduction of viral load in the spleen and liver of IFNAR mice infected with DENV-2. PBPK/PD predictions for SorA matched well with the experimental infection data. Transfer to a human PBPK/PD model for DENV to mimic a clinical scenario predicted a reduction in viremia by more than one log unit for an intravenous infusion regimen of SorA. The PBPK/PD model is applicable to any DENV drug lead and, thus, represents a valuable tool to accelerate and facilitate DENV drug discovery and development.
由于尚无药物治疗方法,登革热病毒(DENV)感染及其相关严重症状的全球发病率持续上升。我们报告构建了首个基于生理学的药代动力学/药效学(PBPK/PD)模型,该模型根据临床前数据,利用广谱抗病毒药物索拉芬A(SorA,一种宿主细胞靶点乙酰辅酶A羧化酶的抑制剂)预测相关靶器官中的病毒血症水平。SorA对登革热病毒高度有效(EC = 4.7 nM),并且通过显著降低感染DENV-2的IFNAR小鼠脾脏和肝脏中的病毒载量显示出疗效。SorA的PBPK/PD预测与实验感染数据匹配良好。将其转换为用于登革热病毒的人类PBPK/PD模型以模拟临床情况,预测对于SorA静脉输注方案,病毒血症可降低超过一个对数单位。该PBPK/PD模型适用于任何登革热病毒药物先导物,因此是加速和促进登革热病毒药物发现与开发的宝贵工具。