Mori Daiki, Maeda Kazuya, Kusuhara Hiroyuki
Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo.
Nihon Yakurigaku Zasshi. 2019;154(4):210-216. doi: 10.1254/fpj.154.210.
Drug transporters play important roles in determining drug pharmacokinetics. Organic anion transporting polypeptides 1B1/1B3 (OATP1B1/1B3) are transporters mediating hepatic uptake of various anionic drugs. OATP1B1/1B3 activities are changed by genetic mutation and drug-drug interaction (DDI) that could lead to severe adverse reactions. Methods to address the precise DDI risk assessment have been developed in addition to the translational assessment from the results of in vitro studies. Using endogenous substrates as probes is an emerging approach that allows clinical assessment of the DDI risk in the early phase of drug development. Then, the clinical data will be subjected to the pharmacokinetic analysis using physiologically-based pharmacokinetic models to perform the more realistic DDI risk assessment with OATP1B1/1B3 substrate drugs. When drug targets are located inside the hepatocytes, DDI impact on the intrahepatic concentration is critical for their pharmacological actions. Positron emission tomography (PET) allows researchers to determine tissue concentration time profiles of the PET probe upon the inhibition of OATP1B1/1B3, and to estimate the change in kinetic parameter for each intrinsic process of hepatic elimination of PET probe. Integration of the clinical data into the PBPK model realizes more precise prediction of DDI impact on the pharmacokinetics of drugs, and their therapeutic effects.
药物转运体在决定药物药代动力学方面发挥着重要作用。有机阴离子转运多肽1B1/1B3(OATP1B1/1B3)是介导多种阴离子药物肝脏摄取的转运体。OATP1B1/1B3的活性会因基因突变和药物-药物相互作用(DDI)而改变,这可能导致严重的不良反应。除了根据体外研究结果进行转化评估外,还开发了用于精确DDI风险评估的方法。使用内源性底物作为探针是一种新兴方法,可在药物开发的早期阶段对DDI风险进行临床评估。然后,将临床数据使用基于生理的药代动力学模型进行药代动力学分析,以对OATP1B1/1B3底物药物进行更实际的DDI风险评估。当药物靶点位于肝细胞内时,DDI对肝内浓度的影响对其药理作用至关重要。正电子发射断层扫描(PET)使研究人员能够在OATP1B1/1B3受到抑制时确定PET探针的组织浓度-时间曲线,并估计PET探针肝脏消除各固有过程动力学参数的变化。将临床数据整合到PBPK模型中可更精确地预测DDI对药物药代动力学及其治疗效果的影响。