Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Clin Pharmacokinet. 2011 Feb;50(2):111-20. doi: 10.2165/11537250-000000000-00000.
In microdose studies, the pharmacokinetic profile of a drug in blood after administration of a dose up to 100 μg is measured with sensitive analytical techniques, such as accelerator mass spectrometry (AMS). As most drugs exert their effect in tissue rather than blood, methodology is needed for extending pharmacokinetic analysis to different tissue compartments. In the present study, we combined, for the first time, AMS analysis with positron emission tomography (PET) in order to determine the pharmacokinetic profile of the model drug verapamil in plasma and brain of humans. In order to assess pharmacokinetic dose linearity of verapamil, data were acquired and compared after administration of an intravenous microdose and after an intravenous microdose administered concomitantly with an oral therapeutic dose.
Six healthy male subjects received an intravenous microdose [0.05 mg] (period 1) and an intravenous microdose administered concomitantly with an oral therapeutic dose [80 mg] of verapamil (period 2) in a randomized, crossover, two-period study design. The intravenous dose was a mixture of (R/S)-[14C]verapamil and (R)-[11C]verapamil and the oral dose was unlabelled racaemic verapamil. Brain distribution of radioactivity was measured with PET whereas plasma pharmacokinetics of (R)- and (S)-verapamil were determined with AMS. PET data were analysed by pharmacokinetic modelling to estimate the rate constants for transfer (k) of radioactivity across the blood-brain barrier.
Most pharmacokinetic parameters of (R)- and (S)-verapamil as well as parameters describing exchange of radioactivity between plasma and brain (influx rate constant [K(1)] = 0.030 ± 0.003 and 0.031 ± 0.005 mL/mL/min and efflux rate constant [k(2)] = 0.099 ± 0.006 and 0.095 ± 0.008 min-1 for period 1 and 2, respectively) were not statistically different between the two periods although there was a trend for nonlinear pharmacokinetics for the (R)-enantiomer. On the other hand, all pharmacokinetic parameters (except for the terminal elimination half-life [t1/2;)]) differed significantly between the (R)- and (S)-enantiomers for both periods. The maximum plasma concentration (C(max)), area under the plasma concentration-time curve (AUC) from 0 to 24 hours (AUC(24)) and AUC from time zero to infinity (AUC(∞)) were higher and the total clearance (CL), volume of distribution (V(d)) and volume of distribution at steady state (V(ss)) were lower for the (R)- than for the (S)-enantiomer.
Combining AMS and PET microdosing allows long-term pharmacokinetic data along with information on drug tissue distribution to be acquired in the same subjects thus making it a promising approach to maximize data output from a single clinical study.
在微剂量研究中,使用加速质谱仪(AMS)等灵敏的分析技术测量药物给药后达 100μg 剂量以下时在血液中的药代动力学特征。由于大多数药物在组织中而不是在血液中发挥作用,因此需要有方法将药代动力学分析扩展到不同的组织隔室。在本研究中,我们首次将 AMS 分析与正电子发射断层扫描(PET)相结合,以确定模型药物维拉帕米在人体血浆和大脑中的药代动力学特征。为了评估维拉帕米的药代动力学剂量线性,在静脉微剂量给药后和静脉微剂量给药同时给予口服治疗剂量后采集和比较数据。
6 名健康男性受试者在一项随机、交叉、两周期研究设计中分别接受静脉微剂量[0.05mg](第 1 期)和静脉微剂量给药同时给予口服治疗剂量[80mg]的维拉帕米(第 2 期)。静脉剂量是(R/S)-[14C]维拉帕米和(R)-[11C]维拉帕米的混合物,口服剂量是未标记的外消旋维拉帕米。放射性物质的脑分布通过 PET 测量,而(R)-和(S)-维拉帕米的血浆药代动力学通过 AMS 确定。通过药代动力学模型分析 PET 数据,以估计放射性物质通过血脑屏障的转移速率常数(k)。
尽管(R)-对映体存在非线性药代动力学趋势,但(R)-和(S)-维拉帕米的大多数药代动力学参数以及描述血浆和大脑之间放射性物质交换的参数(第 1 期和第 2 期的摄取率常数[K1]=0.030±0.003 和 0.031±0.005mL/mL/min 以及外排率常数[k2]=0.099±0.006 和 0.095±0.008 min-1)在两个周期之间没有统计学差异。另一方面,对于两个周期,所有药代动力学参数(除末端消除半衰期[t1/2]外)均显著不同于(R)-和(S)-对映体。最大血浆浓度(Cmax)、24 小时内的血浆浓度-时间曲线下面积(AUC24)和从零时到无穷大的 AUC(AUC∞)在(R)-对映体中更高,总清除率(CL)、分布容积(Vd)和稳态分布容积(Vss)在(R)-对映体中更低。
结合 AMS 和 PET 微剂量给药可同时获得长期药代动力学数据和药物组织分布信息,从而使其成为从单个临床研究中最大限度地获取数据的有前途的方法。