Hong Ying, Rohatagi Shashank, Habtemariam Bahru, Walker Joseph R, Schwartz Sherwyn L, Mager Donald E
Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
J Clin Pharmacol. 2008 Jun;48(6):696-707. doi: 10.1177/0091270008316884. Epub 2008 Mar 27.
The exposure-response properties of metformin were characterized in 12 subjects with type 2 diabetes mellitus. The time course of drug concentration and effects on fasting plasma glucose and lactic acid concentrations were used from a study in which subjects received 500 mg of metformin twice daily for 5 days followed by 850 mg twice daily for 5 days. Pharmacokinetic sampling included morning trough concentrations obtained on days 7 to 9 and rich sampling (15 time points) on day 10. Fasting plasma glucose and lactic acid concentrations were measured on days 0 to 10 and served as biomarkers of therapeutic effect and tolerability, respectively. A population pharmacokinetic/pharmacodynamic analysis was conducted using nonlinear mixed effects modeling. Metformin pharmacokinetics were described using a 1-compartment model with first-order absorption. Population mean estimates (relative standard error [RSE]) of clearance (CL/F) and volume of distribution were 79.0 L.h(-1) (6.8%) and 648 L (13.8%), respectively. Covariate analyses revealed that creatinine clearance (CL(CR)) significantly influenced metformin CL/F [CL/F = 79.0.(CL(CR)/80)(0.822)]. An indirect response model was applied to describe the antihyperglycemic effect of metformin. Population mean estimates (RSE) of baseline fasting plasma glucose and the drug concentration producing half-maximal effect were 241 mg.dL(-1) (4.6%) and 4.23 mg.L(-1) (31.0%). An empirical linear model was used to describe a slight progressive increase in fasting lactic acid during metformin treatment with an estimated slope coefficient (RSE) of 0.0005 mM.mL.ng(-1) (38.1%). Model evaluation by predictive check and nonparametric bootstrap analysis suggested that the proposed model is robust, and parameter values were estimated with good precision. Simulations suggested that the clinical utility of metformin was maintained over the dose range evaluated with respect to fasting plasma glucose and lactic acid response.
在12名2型糖尿病患者中对二甲双胍的暴露-反应特性进行了表征。药物浓度的时间过程以及对空腹血糖和乳酸浓度的影响来自一项研究,在该研究中,受试者每天两次服用500mg二甲双胍,持续5天,随后每天两次服用850mg,持续5天。药代动力学采样包括第7至9天获得的早晨谷浓度以及第10天的密集采样(15个时间点)。在第0至10天测量空腹血糖和乳酸浓度,分别作为治疗效果和耐受性的生物标志物。使用非线性混合效应模型进行群体药代动力学/药效学分析。二甲双胍药代动力学采用具有一级吸收的单室模型进行描述。清除率(CL/F)和分布容积的群体均值估计值(相对标准误差[RSE])分别为79.0L·h⁻¹(6.8%)和648L(13.8%)。协变量分析表明,肌酐清除率(CL(CR))显著影响二甲双胍的CL/F [CL/F = 79.0·(CL(CR)/80)⁰·⁸²²]。应用间接反应模型描述二甲双胍的降糖作用。空腹血糖基线和产生半数最大效应的药物浓度的群体均值估计值(RSE)分别为241mg·dL⁻¹(4.6%)和4.23mg·L⁻¹(31.0%)。使用经验线性模型描述二甲双胍治疗期间空腹乳酸的轻微渐进性增加,估计斜率系数(RSE)为0.0005mM·mL·ng⁻¹(38.1%)。通过预测检验和非参数自助法分析进行的模型评估表明,所提出的模型具有稳健性,参数值估计精度良好。模拟表明,在所评估的剂量范围内,二甲双胍在空腹血糖和乳酸反应方面的临床效用得以维持。