Dave Rutwij A, Morris Marilyn E
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, 14214, USA.
J Pharmacokinet Pharmacodyn. 2015 Oct;42(5):497-513. doi: 10.1007/s10928-015-9441-1. Epub 2015 Sep 4.
This study developed a semi-mechanistic kidney model incorporating physiologically-relevant fluid reabsorption and transporter-mediated active reabsorption. The model was applied to data for the drug of abuse γ-hydroxybutyric acid (GHB), which exhibits monocarboxylate transporter (MCT1/SMCT1)-mediated renal reabsorption. The kidney model consists of various nephron segments--proximal tubules, Loop-of-Henle, distal tubules, and collecting ducts--where the segmental fluid flow rates, volumes, and sequential reabsorption were incorporated as functions of the glomerular filtration rate. The active renal reabsorption was modeled as vectorial transport across proximal tubule cells. In addition, the model included physiological blood, liver, and remainder compartments. The population pharmacokinetic modeling was performed using ADAPT5 for GHB blood concentration-time data and cumulative amount excreted unchanged into urine data (200-1000 mg/kg IV bolus doses) from rats [Felmlee et al (PMID: 20461486)]. Simulations assessed the effects of inhibition (R = [I]/KI = 0-100) of renal reabsorption on systemic exposure (AUC) and renal clearance of GHB. Visual predictive checks and other model diagnostic plots indicated that the model reasonably captured GHB concentrations. Simulations demonstrated that the inhibition of renal reabsorption significantly increased GHB renal clearance and decreased AUC. Model validation was performed using a separate dataset. Furthermore, our model successfully evaluated the pharmacokinetics of L-lactate using data obtained from Morse et al (PMID: 24854892). In conclusion, we developed a semi-mechanistic kidney model that can be used to evaluate transporter-mediated active renal reabsorption of drugs by the kidney.
本研究开发了一种半机制性肾脏模型,该模型纳入了生理相关的液体重吸收和转运体介导的主动重吸收。该模型应用于滥用药物γ-羟基丁酸(GHB)的数据,GHB表现出单羧酸转运体(MCT1/SMCT1)介导的肾脏重吸收。肾脏模型由各种肾单位节段组成——近端小管、髓袢、远端小管和集合管——其中节段性液体流速、体积和顺序重吸收作为肾小球滤过率的函数纳入模型。肾脏主动重吸收被建模为跨近端小管细胞的向量转运。此外,该模型还包括生理血液、肝脏和其余隔室。使用ADAPT5对大鼠GHB血药浓度-时间数据和经尿液原样排泄的累积量数据(静脉推注剂量200 - 1000 mg/kg)进行群体药代动力学建模[Felmlee等人(PMID:20461486)]。模拟评估了肾脏重吸收抑制(R = [I]/KI = 0 - 100)对GHB全身暴露(AUC)和肾脏清除率的影响。可视化预测检查和其他模型诊断图表明该模型合理地捕捉了GHB浓度。模拟表明,肾脏重吸收的抑制显著增加了GHB的肾脏清除率并降低了AUC。使用单独的数据集进行模型验证。此外,我们的模型使用从Morse等人(PMID:24854892)获得的数据成功评估了L-乳酸的药代动力学。总之,我们开发了一种半机制性肾脏模型,可用于评估肾脏中转运体介导的药物主动肾脏重吸收。