Lu Jing-Tao, Cai Ying, Chen Feng, Jia Wei-Wei, Hu Zhe-Yi, Zhao Yuan-Sheng
Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.
Department of Physiology, Michigan State University, East Lansing, MI, USA.
Eur J Drug Metab Pharmacokinet. 2016 Dec;41(6):689-703. doi: 10.1007/s13318-015-0295-0.
Amiodarone (AMD) is one of the most effective drugs for rhythm control of atrial fibrillation. The use of AMD is also associated with adverse effects in multiple tissues. Both the parent compound and its major metabolite desethylamiodarone (DEA) contribute to the drug's therapeutic and toxic action. The present study aimed to build a whole-body physiologically based pharmacokinetic (PBPK) model for AMD and DEA in rats.
Pharmacokinetic data from multiple studies were collected. Some of the data were pooled together to develop the PBPK model; others were used to evaluate the model. Development of the model also involved in vitro to in vivo extrapolation based on in vitro metabolism data.
The final model consisted of 11 tissue compartments, including therapeutic target organs and those to which AMD and DEA may be harmful. Model simulations were in good agreement with the observed time courses of the drug-metabolite pair in tissues, under various dosing scenarios. The key pharmacokinetic properties of AMD, such as extensive tissue distribution, substantial storage in the fat tissue, and long half-lives in many tissues, were closely reflected.
The developed PBPK model can be regarded as the first step towards a PBPK-pharmacodynamic model that can used to mechanistically evaluate and explain the high adverse event rate and potentially to determine which factors are the primary drives for experiencing an adverse event.
胺碘酮(AMD)是控制房颤节律最有效的药物之一。AMD的使用也与多种组织的不良反应相关。母体化合物及其主要代谢产物去乙基胺碘酮(DEA)均对药物的治疗和毒性作用有贡献。本研究旨在建立大鼠体内AMD和DEA的全身生理药代动力学(PBPK)模型。
收集多项研究的药代动力学数据。部分数据汇总用于建立PBPK模型;其他数据用于评估模型。模型的建立还基于体外代谢数据进行了体外到体内的外推。
最终模型由11个组织隔室组成,包括治疗靶器官以及AMD和DEA可能有害的器官。在各种给药方案下,模型模拟结果与组织中药物 - 代谢物对的观察时间进程高度一致。AMD的关键药代动力学特性,如广泛的组织分布、在脂肪组织中的大量储存以及在许多组织中的长半衰期,都得到了密切反映。
所建立的PBPK模型可被视为迈向PBPK - 药效学模型的第一步,该模型可用于从机制上评估和解释高不良事件发生率,并有可能确定哪些因素是发生不良事件的主要驱动因素。