van Hest Reinier M, van Gelder Teun, Vulto Arnold G, Shaw Leslie M, Mathot Ron A A
Department of Hospital Pharmacy, Erasmus Medical Centre, 3000 CA Rotterdam, the Netherlands.
Clin Pharmacokinet. 2009;48(7):463-76. doi: 10.2165/11312600-000000000-00000.
Renal function and the plasma albumin concentration have been shown to correlate with clearance of total mycophenolic acid (MPA). The hypothesis for the underlying mechanism is that low plasma albumin concentrations and accumulation of the glucuronide metabolite of MPA (MPAG) decrease the binding of MPA to albumin. The subsequent increase in the unbound fraction (f(u)) of MPA (MPA(u)) produces an increase in total MPA (MPA(t)) clearance. This study aimed to develop an empirical population pharmacokinetic model to describe the relationships between renal function and albumin concentration and MPAG, MPA(u) and MPA(t), in order to provide insight into the mechanism by which renal function and plasma albumin affect the disposition of MPA.
774 MPA(t), 479 MPA(u) and 772 total MPAG (MPAG(t)) plasma concentrations were available from 88 renal transplant recipients on days 11 and 140 after transplantation. Data were analysed using non-linear mixed-effects modelling.
Time profiles of MPA(u) and MPAG(t) concentrations were adequately described by two 2-compartment pharmacokinetic models with a link between the central compartments, representing the glucuronidation of MPA(u) to form MPAG. MPA(t) concentrations were modelled using: [MPA(t)] = [MPA(u)] + [MPA(u)] * theta(pb), with [MPA(u)] * theta(pb) representing the bound MPA concentration, where [MPA(t)], [MPA(u)] and theta(pb) represent MPA(t) concentration, MPA(u) concentration and a factor that correlates to the total number of protein binding places, respectively. According to this equation, f(u) = [MPA(u)]/[MPA(t)] = 1/(1 + theta(pb)) * theta(pb), and therefore [MPA(t)], was significantly and independently correlated with creatinine clearance (CL(CR)), the plasma albumin concentration and the MPAG(t) concentration (all p < 0.001). A reduction in CL(CR) from 60 to 25 mL/min correlated with an increase in f(u) from 2.7% to 3.5%, accumulation of MPAG(t) concentrations from 50 to 150 mg/L correlated with an increase in f(u) from 2.8% to 3.7%, and a decrease in plasma albumin concentration from 40 to 30 g/L correlated with an increase in f(u) from 2.6% to 3.5%. No significant correlations were detected between MPA(u) clearance and the plasma albumin concentration or CL(CR).
The model shows that low CL(CR), low plasma albumin concentrations and high MPAG concentrations decrease MPA(t) exposure by affecting MPA binding to albumin.
肾功能和血浆白蛋白浓度已被证明与霉酚酸(MPA)的总清除率相关。潜在机制的假说是,低血浆白蛋白浓度和MPA的葡萄糖醛酸代谢物(MPAG)的蓄积会降低MPA与白蛋白的结合。随后MPA的游离分数(f(u))增加,导致MPA总清除率(MPA(t))升高。本研究旨在建立一个经验性群体药代动力学模型,以描述肾功能、白蛋白浓度与MPAG、MPA(u)和MPA(t)之间的关系,从而深入了解肾功能和血浆白蛋白影响MPA处置的机制。
从88例肾移植受者移植后第11天和第140天获取了774个MPA(t)、479个MPA(u)和772个MPAG总血浆浓度(MPAG(t))。使用非线性混合效应模型分析数据。
MPA(u)和MPAG(t)浓度的时间曲线可用两个二室药代动力学模型充分描述,中央室之间存在联系,代表MPA(u)葡萄糖醛酸化形成MPAG。MPA(t)浓度通过以下模型建模:[MPA(t)] = [MPA(u)] + [MPA(u)] * θ(pb),其中[MPA(u)] * θ(pb)代表结合的MPA浓度,[MPA(t)]、[MPA(u)]和θ(pb)分别代表MPA(t)浓度、MPA(u)浓度和与蛋白质结合位点总数相关的因子。根据该方程,f(u) = [MPA(u)]/[MPA(t)] = 1/(1 + θ(pb)) * θ(pb),因此,[MPA(t)]与肌酐清除率(CL(CR))、血浆白蛋白浓度和MPAG(t)浓度显著且独立相关(所有p < 0.001)。CL(CR)从60降至25 mL/min与f(u)从2.7%升至3.5%相关,MPAG(t)浓度从50积累至150 mg/L与f(u)从2.8%升至3.7%相关,血浆白蛋白浓度从40降至30 g/L与f(u)从2.6%升至3.5%相关。未检测到MPA(u)清除率与血浆白蛋白浓度或CL(CR)之间存在显著相关性。
该模型表明,低CL(CR)、低血浆白蛋白浓度和高MPAG浓度通过影响MPA与白蛋白的结合降低了MPA(t)的暴露量。