Pan Chen1, Xuan Xu1, Longshan Liu2, Jingjing Wu1, Jingjie Li3, Qian Fu2, Jie Chen4, Changxi Wang5. 1. Department of Pharmacy, the First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhong Shan Er Lu, Guangzhou, People's Republic of China. 2. Organ Transplantation Center, the First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhong Shan Er Lu, Guangzhou, People's Republic of China. 3. Center of Reproductive Medicine, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. 4. Department of Pharmacy, the First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhong Shan Er Lu, Guangzhou, People's Republic of China. chenjiezs@163.com. 5. Organ Transplantation Center, the First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhong Shan Er Lu, Guangzhou, People's Republic of China. 13600450862@163.com.
Abstract
PURPOSE: Mizoribine (MZR) is an immunosuppressive agent with extensive inter-individual differences in pharmacokinetics (PK). Here, we investigated the PK characteristics of MZR in renal transplant recipients and gave equations for prediction of some critical PK parameters. METHODS: A total of 40 renal transplant recipients participated in this prospective study and were administered MZR orally twice daily in the range of 1.1-8.9 mg kg-1 day-1. Steady-state concentrations of MZR were detected before (0 h) and 0.5, 1, 2, 3, 4, 5, 6, 8, and 12 h after administration by high-performance liquid chromatography method. Another 38 patients with newly detected trough concentration (C0) were enrolled to validate the obtained C0 predictive equation. RESULTS: Significant inter-individual differences in MZR PK parameters were observed. Patients with decreasing creatinine clearance rate (CCr) had significantly decreased terminal elimination rate constant (kel) and apparent total body clearance (Cl/F), while other PK parameters including apparent terminal half-life (t1/2), peak time (Tmax), peak concentration (Cmax), area under the curve (AUC0-12h), apparent volume of distribution (V/F), and mean residence time (MRT) were significantly increased. Correlation coefficients between AUC0-12h and C0/Cmax were 0.894 and 0.916, respectively (both p < 0.001). A serum creatinine (SCr)-based predictive C0 equation [C0 = (2.160 × SCr - 54.473) × Dose] was established and validated by C0 from another 38 patients. Besides, significant linear correlations between kel/t1/2 and CCr were also found (r2 = 0.668 and 0.484, respectively), and equations predicting kel/t1/2 were also obtained (kel = 0.015 + 0.002 × CCr, t1/2 = 13.601 - 0.139 × CCr). CONCLUSIONS: Renal function plays as an essential factor that contributes to great inter-individual MZR PK variation. Both C0 and Cmax are suitable for evaluating MZR exposure in the body. SCr could be applied to predict C0 and t1/2 of MZR.
PURPOSE:Mizoribine (MZR) is an immunosuppressive agent with extensive inter-individual differences in pharmacokinetics (PK). Here, we investigated the PK characteristics of MZR in renal transplant recipients and gave equations for prediction of some critical PK parameters. METHODS: A total of 40 renal transplant recipients participated in this prospective study and were administered MZR orally twice daily in the range of 1.1-8.9 mg kg-1 day-1. Steady-state concentrations of MZR were detected before (0 h) and 0.5, 1, 2, 3, 4, 5, 6, 8, and 12 h after administration by high-performance liquid chromatography method. Another 38 patients with newly detected trough concentration (C0) were enrolled to validate the obtained C0 predictive equation. RESULTS: Significant inter-individual differences in MZR PK parameters were observed. Patients with decreasing creatinine clearance rate (CCr) had significantly decreased terminal elimination rate constant (kel) and apparent total body clearance (Cl/F), while other PK parameters including apparent terminal half-life (t1/2), peak time (Tmax), peak concentration (Cmax), area under the curve (AUC0-12h), apparent volume of distribution (V/F), and mean residence time (MRT) were significantly increased. Correlation coefficients between AUC0-12h and C0/Cmax were 0.894 and 0.916, respectively (both p < 0.001). A serum creatinine (SCr)-based predictive C0 equation [C0 = (2.160 × SCr - 54.473) × Dose] was established and validated by C0 from another 38 patients. Besides, significant linear correlations between kel/t1/2 and CCr were also found (r2 = 0.668 and 0.484, respectively), and equations predicting kel/t1/2 were also obtained (kel = 0.015 + 0.002 × CCr, t1/2 = 13.601 - 0.139 × CCr). CONCLUSIONS: Renal function plays as an essential factor that contributes to great inter-individual MZR PK variation. Both C0 and Cmax are suitable for evaluating MZR exposure in the body. SCr could be applied to predict C0 and t1/2 of MZR.
Authors: K Sonda; K Takahashi; K Tanabe; S Funchinoue; Y Hayasaka; H Kawaguchi; S Teraoka; H Toma; K Ota Journal: Transplant Proc Date: 1996-12 Impact factor: 1.066