Pharmacokinetics of tacrolimus and mycophenolate mofetil in renal transplant recipients on a corticosteroid-free regimen.

PURPOSE: The pharmacokinetics of both tacrolimus and mycophenolic acid in renal transplant recipients on a corticosteroid-free regimen was evaluated. METHODS: Upon administration of steady-state morning tacrolimus and mycophenolate mofetil doses, 28 patients for whom at least three months had passed after renal transplantation underwent serial blood sample collection over a 12-hour dosing period. Whole blood concentrations of tacrolimus were measured, as were mycophenolic acid, mycophenolic acid 7-0-glucuronide (MPAG), and acyl glucuronide MPAG (AcMPAG) concentrations. Pharmacokinetic parameters were then analyzed by conventional noncompartmental modeling. RESULTS: The mean ± S.D. pharmacokinetic parameters for tacrolimus, normalized to a dose of 1 mg, were as follows: area under the concentration-time curve (AUC), 52.6 ± 24.8 µg · hr/L/mg; maximum concentration (C(max)), 8.0 ± 3.3 µg/L/mg; time to C(max) (t(max)), 1.8 ± 1.0 hr; and minimum concentration (C(min)), 2.6 ± 1.4 µg/L/mg. The mean ± S.D. pharmacokinetic parameters for mycophenolic acid, normalized to a mycophenolate mofetil dose of 1 g, were AUC, 26.9 ± 13.2 µg ·hr/mL/g; C(max), 17.5 ± 5.4 µg/mL/g; t(max), 0.9 ± 0.6 hr; and C(min), 1.5 ± 1.1 µg/mL/g. The free fraction of mycophenolic acid was 1.8% ± 0.7%. AUC ratios of MPAG:mycophenolic acid and AcMPAG:mycophenolic acid were 13.0 ± 5.8 and 0.1 ± 0.2, respectively. CONCLUSION: Overall exposure and C(min) values for tacrolimus were similar but C(max) values were higher than those documented in renal transplant patients treated with corticosteroid-based regimens. This may have clinical implications in corticosteroid-free patients experiencing symptoms of tacrolimus toxicity despite trough levels within target ranges. Mycophenolic acid exposure increased with time, but AUC values fell within the range expected for patients receiving concurrent corticosteroids.

Development and validation of limited sampling strategies for tacrolimus and mycophenolate in steroid-free renal transplant regimens.

PURPOSE: 1) To develop and validate limited sampling strategies (LSSs) for tacrolimus (TAC) and mycophenolic acid (MPA) in renal transplant recipients not receiving corticosteroids; and 2) to evaluate predictive performance of published LSSs (for steroid-based regimens) in a steroid-free population. METHODS: On administration of steady-state morning TAC and mycophenolate mofetil doses, 12-hour serial blood samples from 28 stable renal transplant recipients were collected and measured by validated high-performance liquid chromatography methods and area under the curve (AUC) by trapezoidal rule. TAC LSSs were developed and validated by multiple regression analysis by a two-group method (index n = 18; validation n = 10) and MPA LSSs by the jackknife method (n = 28). Potential LSSs were those with r ≥ .8 (TAC) or r ≥ 0.7 (MPA) and < 3 time points within 2 hours (TAC) or 4 hours (MPA) postdose. Predictive performance was calculated and other published TAC and MPA LSSs tested using preset criteria for bias and precision of within ± 15%. RESULTS: For TAC, three three-concentration, one two-concentration, and one one-concentration model met preset criteria. The best equations were: TAC AUC = 10.338 + 7.739C0 + 3.589C2 (r = 0.956, bias = -3.4%, precision = 4.7%) and TAC AUC = 29.479 + 5.016C2 (r = 0.862, bias = 3.2%, precision = 9.7%). For MPA, only one model was identified: MPA AUC = 9.328 + 1.311C1 + 1.455C2 + 2.901C4 (r = 0.838, bias = -3.8%, precision = 14.9%). One published TAC (and no MPA) LSS in renal transplant recipients on steroid-based regimens met criteria. CONCLUSIONS: To the authors' knowledge, these LSSs are the first to be developed and validated in steroid-free renal transplant recipients and can be used to accurately predict TAC and MPA AUCs for steroid-free regimens. Because the commonly used MPA LSS is based on a steroid regimen and not predictive for steroid-free patients, the newly derived MPA LSS is being applied at the authors' institution. Other renal transplant centers may also wish to validate this equation in their own patients.

Pharmacokinetics of mycophenolic acid and its glucuronidated metabolites in stable islet transplant recipients.

Given the paucity of data on pharmacokinetics of mycophenolic acid (MPA) in islet transplant, the aim of this study was to characterize pharmacokinetic parameters of MPA and its 2 glucuronidated metabolites in stable islet transplant recipients. Sixteen subjects were entered into this open-label study after written informed consent. Upon administration of a steady-state morning mycophenolate mofetil dose, 12-hour serial concentrations of MPA and its phenolic glucuronide (MPAG) and acyl-glucuronide (AcMPAG) were measured by a validated high-performance liquid chromatography method and pharmacokinetic parameters analyzed by noncompartmental modeling. Subjects included 11 women and 5 men who had received 2.7 +/- 0.8 islet transplants. Age was 50 +/- 8 years, weight 64 +/- 11 kg, serum albumin 4.2 +/- 0.3 g/dL, and serum creatinine 1.1 +/- 0.4 mg/dL. All patients were also on tacrolimus-based steroid-free immunosuppressant regimens. Mycophenolate mofetil dosage ranged from 1 to 2 g daily (25.4 +/- 6.1 mg/kg/d). Pharmacokinetic parameters for MPA were area under the curve 42.9 +/- 21.6 microg h/mL; dose-normalized AUC 52.9 +/- 25.4 microg h/mL/g; maximal concentration (Cmax) 13.0 +/- 6.2 microg/mL; time to Cmax (tmax) 1.2 +/- 0.4 hours; minimum concentration (Cmin) 1.4 +/- 1.0 microg/mL; and MPA-free fraction 1.2% +/- 1.0%. Area under the curve ratios of MPAG/MPA and AcMPAG/MPA were 17.8 +/- 12.4 and 0.1 +/- 0.1, respectively. The wide interpatient variability in all pharmacokinetic parameters of MPA and metabolites are consistent with results from the only other published pharmacokinetic study in islet transplant recipients. A population model and a search for significant covariates may help reduce this variability. Pharmacokinetic parameters calculated in the present study, coupled with findings from the only other published MPA study in islet transplant, form a preliminary base on which to build a population model for future multicenter studies of this little-studied transplant subpopulation.

Limited sampling strategies for predicting area under the concentration-time curve of mycophenolic acid in islet transplant recipients.

BACKGROUND: Mycophenolate mofetil is widely used in islet transplant recipients and its active metabolite, mycophenolic acid (MPA), exhibits wide pharmacokinetic variability. However, to our knowledge, no limited sampling strategy (LSS) exists for monitoring MPA in this subpopulation. OBJECTIVE: To define optimal LSSs for MPA monitoring and to test their predictive performance in islet transplant recipients. METHODS: After written informed consent was obtained and upon administration of a steady-state morning mycophenolate mofetil dose, blood samples were collected at 0, 0.3, 0.6, 1, 1.5, 2, 3, 4, 6, 8, 10, and 12 hours from 16 stable islet transplant recipients. MPA concentrations were measured by a validated high-performance liquid chromatography method with ultraviolet detection and pharmacokinetic parameters analyzed by noncompartmental modeling. All 16 patients' profiles were used to develop the LSSs via multiple regression analysis. Potential LSSs were restricted to ones having R(2) 0.90 or greater and 3 or fewer time points within the first 4 hours postdose. Resulting equations were validated for their predictive performance using the jackknife method, with acceptable criteria for bias and precision preset to within +/-15%. In addition, 14 published LSSs (in the renal transplant population) were tested in our islet transplant patients. RESULTS: Five LSSs met preset criteria and had conventional sampling times: AUC = 1.783 + 1.248C1 + 0.888C2 + 8.027C4 (R2 = 0.98, bias = -3.09%, precision = 9.53%) AUC = 2.778 + 1.413C1 + 0.963C3 + 7.511C4 (R2 = 0.97, bias = -3.22%, precision = 11.02%) AUC = 1.448 + 1.239C1 + 0.271C1.5 + 9.108 C4 (R2 = 0.96, bias = -1.90%, precision = 11.46) AUC = 1.410 - 0.259C0 + 1.443C1 + 9.622C4 (R2 = 0.96, bias = -2.68%, precision = 11.53%) AUC = 1.547 + 1.417C1 + 9.448C4 (R2 = 0.96, bias = -2.46%, precision = 11.14%) where AUC = area under the concentration-time curve. None of the other published LSSs in the renal transplant population met the preset criteria for bias and precision. CONCLUSIONS: To our knowledge, these are the first precise and accurate LSSs for predicting MPA AUC developed specifically for islet transplant recipients. The LSS that we recommend is the one utilizing 2 concentrations: AUC = 1.547 + 1.417C1 + 9.448C4. This equation is convenient and clinically feasible. Other islet transplant centers may wish to validate our equation in their population or use our template as a guide to develop accurate and precise LSSs specific to their patient population.