This review aims to provide an extensive overview of the literature on the clinical pharmacokinetics of mycophenolate in solid organ transplantation and a briefer summary of current pharmacodynamic information. Strategies are suggested for further optimisation of mycophenolate therapy and areas where additional research is warranted are highlighted. Mycophenolate has gained widespread acceptance as the antimetabolite immunosuppressant of choice in organ transplant regimens. Mycophenolic acid (MPA) is the active drug moiety. Currently, two mycophenolate compounds are available, mycophenolate mofetil and enteric-coated (EC) mycophenolate sodium. MPA is a potent, selective and reversible inhibitor of inosine monophosphate dehydrogenase (IMPDH), leading to eventual arrest of T- and B-lymphocyte proliferation. Mycophenolate mofetil and EC-mycophenolate sodium are essentially completely hydrolysed to MPA by esterases in the gut wall, blood, liver and tissue. Oral bioavailability of MPA, subsequent to mycophenolate mofetil administration, ranges from 80.7% to 94%. EC-mycophenolate sodium has an absolute bioavailability of MPA of approximately 72%. MPA binds 97–99% to serum albumin in patients with normal renal and liver function. It is metabolised in the liver, gastrointestinal tract and kidney by uridine diphosphate gluconosyltransferases (UGTs). 7-O-MPA-glucuronide (MPAG) is the major metabolite of MPA. MPAG is usually present in the plasma at 20- to 100-fold higher concentrations than MPA, but it is not pharmacologically active. At least three minor metabolites are also formed, of which an acyl-glucuronide has pharmacological potency comparable to MPA. MPAG is excreted into the urine via active tubular secretion and into the bile by multi-drug resistance protein 2 (MRP-2). MPAG is de-conjugated back to MPA by gut bacteria and then reabsorbed in the colon. Mycophenolate mofetil and EC-mycophenolate sodium display linear pharmacokinetics. Following mycophenolate mofetil administration, MPA maximum concentration usually occurs in 1–2 hours. EC-mycophenolate sodium exhibits a median lag time in absorption of MPA from 0.25 to 1.25 hours. A secondary peak in the concentration-time profile of MPA, due to enterohepatic recirculation, often appears 6–12 hours after dosing. This contributes approximately 40% to the area under the plasma concentration-time curve (AUC). The mean elimination half-life of MPA ranges from 9 to 17 hours. MPA displays large between- and within-subject pharmacokinetic variability. Dose-normalised MPA AUC can vary more than 10-fold. Total MPA concentrations should be interpreted with caution in patients with severe renal impairment, liver disease and hypoalbuminaemia. In such individuals, MPA and MPAG plasma protein binding may be altered, changing the fraction of free MPA available. Apparent oral clearance (CL/F) of total MPA appears to increase in proportion to the increased free fraction, with a reduction in total MPA AUC. However, there may be little change in the MPA free concentration. Ciclosporin inhibits biliary excretion of MPAG by MRP-2, reducing enterohepatic recirculation of MPA. Exposure to MPA when mycophenolate mofetil is given in combination with ciclosporin is approximately 30–40% lower than when given alone or with tacrolimus or sirolimus. High dosages of corticosteroids may induce expression of UGT, reducing exposure to MPA. Other co-medications can interfere with the absorption, enterohepatic recycling and metabolism of mycophenolate. Most pharmacokinetic investigations of MPA have involved mycophenolate mofetil rather than EC-mycophenolate sodium therapy. In population pharmacokinetic studies, MPA CL/F in adults ranges from 14.1 to 34.9 L/h (ciclosporin co-therapy) and from 11.9 to 25.4 L/h (tacrolimus co-therapy). Patient bodyweight, serum albumin concentration and immunosuppressant co-therapy have a significant influence on CL/F. The majority of pharmacodynamic data on MPA have been obtained in patients receiving mycophenolate mofetil therapy in the first year after kidney transplantation. Low MPA AUC is associated with increased incidence of biopsy-proven acute rejection. Gastrointestinal adverse events may be dose related. Leukopenia and anaemia have been associated with high MPA AUC, trough concentration and metabolite concentrations in some, but not all, studies. High free MPA exposure has been identified as a risk factor for leukopenia in some investigations. Targeting a total MPA AUC from 0 to 12 hours (AUC12) of 30–60 mg ∙ hr/L is likely to minimise the risk of acute rejection and may reduce toxicity. IMPDH monitoring is in the early experimental stage. Individualisation of mycophenolate therapy should lead to improved patient outcomes. MPA AUC12 appears to be the most useful exposure measure for such individualisation. Limited sampling strategies and Bayesian forecasting are practical means of estimating MPA AUC12 without full concentration-time profiling. Target concentration intervention may be particularly useful in the first few months post-transplant and prior to major changes in anti-rejection therapy. In patients with impaired renal or hepatic function or hypoalbuminaemia, free drug measurement could be valuable in further interpretation of MPA exposure.

Clinical Pharmacokinetics and Pharmacodynamics of Mycophenolate in Solid Organ Transplant Recipients

Many complications after renal transplantation can be prevented if they are detected early. Guidelines have been developed for the prevention of diseases in the general popu- lation, but there are no comprehensive guidelines for the pre- vention of diseases and complications after renal transplanta- tion. Therefore, the Clinical Practice Guidelines Committee of the American Society of Transplantation developed these guidelines to help physicians and other health care workers provide optimal care for renal transplant recipients. The guide- lines are also intended to indirectly help patients receive the access to care that they need to ensure long-term allograft survival, by attempting to systematically define what that care encompasses. The guidelines are applicable to all adult and pediatric renal transplant recipients, and they cover the outpa- tient screening for and prevention of diseases and complica- tions that commonly occur after renal transplantation. They do not cover the diagnosis and treatment of diseases and compli- cations after they become manifest, and they do not cover the pretransplant evaluation of renal transplant candidates. The guidelines are comprehensive, but they do not pretend to cover every aspect of care. As much as possible, the guidelines are evidence-based, and each recommendation has been given a subjective grade to indicate the strength of evidence that sup- ports the recommendation. It is hoped that these guidelines will provide a framework for additional discussion and research that will improve the care of renal transplant recipients.

Recommendations for the Outpatient Surveillance of Renal Transplant Recipients

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1600-6143.2007.01983.x

Individualized mycophenolate mofetil dosing based on drug exposure significantly improves patient outcomes after renal transplantation.

We propose a framework for considering the role of pharmacokinetic/pharmacodynamic modeling in drug development and an appraisal of its current and potential impact on that activity. After some introduction, definitions, and background information on drug development, we discuss subject-matter models that underlie pharmacokinetic/pharmacodynamic modeling and show how they determine appropriate statistical models. We discuss the broad role modeling can play in drug development, enhancing primarily the "learning" steps, i.e. acquiring the information needed for the label and for planning efficient confirmatory clinical trials. Examples of past applications of modeling to drug development are presented in tabular form, followed by a discussion of some practical issues in application. Modeling will not reach its potential utility until it is manifest as a visible and separate work unit within a drug development program. We suggest that that work unit is the "in numero" study: a protocol-driven exercise designed to extract additional information, and/or answer a specific drug-development question, through an integrated model-based (meta-) analysis of existent raw data, often pooled across separate (clinical) studies.

Pharmacokinetic/Pharmacodynamic Modeling in Drug Development

Mycophenolate mofetil (MMF) is almost completely absorbed from the gut and is rapidly de-esterified into its active drug, mycophenolic acid (MPA). The main metabolite is glucuronidated MPA (MPAG), which is excreted into bile and undergoes enterohepatic recirculation. Studies in healthy volunteers treated with cholestyramine show that interruption of the enterohepatic recirculation decreases MPA exposure by approximately 40%. Published data show a difference in mycophenolic acid plasma concentrations between kidney transplant recipients treated with MMF plus cyclosporine (CsA) and those treated with MMF plus tacrolimus (TRL). However, the interpretation of these data is complicated by interpatient differences in variables that may influence MMF pharmacokinetics (e.g., underlying disease, co-medication, and time since transplantation). To understand the influence of TRL and CsA on MMF pharmacokinetics (PK) more completely, the authors eliminated confounding variables in clinical studies by performing drug interaction studies in inbred rats. To achieve a steady state, 3 groups of Lewis rats (n = 8 per group) were treated once daily with oral CsA (8 mg/kg), TRL (4 mg/kg), or placebo on days 0-6 before all rats began once-daily oral treatment with MMF (20 mg/kg) on day 7. Combined treatment with either MMF + CsA, MMF + TRL, or MMF + placebo was continued for 1 week (days 8-14). Thereafter, CsA and TRL treatments were stopped but MMF treatment was continued on days 14-21. Blood was sampled during the 24 hours subsequent to dosing on day 7 (after the first MMF dose), on day 14 (after multiple MMF doses) and on day 21 (after CsA/TRL washout). Rats in the MMF + TRL group and in the MMF + placebo group showed a second peak in the MPA-PK profiles consistent with enterohepatic recirculation of MPA. The MPA-PK profiles for the MMF + CsA-treated animals did not show a second MPA peak. On Day 14, the mean plasma MPA-AUC(0-24 hours) for the CsA-treated animals was significantly less than MPA exposures for rats in the MMF + TRL- and the MMF + placebo-treated groups. Furthermore, in contrast to results from other investigators, co-administration of CsA and MMF significantly increased MPAG-AUC(0-24 hours). Serum creatinines did not differ among rats in the three groups. CsA but not TRL decreased MPA plasma levels and increased MPAG-AUC(0-24 hours). These data suggest that CsA inhibits MPAG excretion into bile and offer an explanation for the well-known increased MPA exposure in organ transplant patients caused by conversion from CsA- to TRL-based immunosuppression.

Comparison of the effects of tacrolimus and cyclosporine on the pharmacokinetics of mycophenolic acid.

Background: Mycophenolate mofetil, a pro-drug for mycophenolic acid, reduces the likelihood of allograft rejection after renal transplantation. We studied the relationship between mycophenolic acid pharmacokinetics and the likelihood of rejection in a randomized concentration-controlled trial. Methods: Under double-blind conditions, recipients of kidney transplants were followed for evidence of allograft rejection for 6 months. In addition to mycophenolate mofetil, patients received usual doses of cyclosporine (INN, ciclosporin) and corticosteroids, The dose of mycophenolate mofetil (given twice daily) was controlled by feedback, with mycophenolic acid area under the concentration-time curve (AUC) as the controlled variable. Patients were randomly assigned to 1 of 3 target AUC groups. Results: Logistic regression analysis showed a significant (P < .0001) relationship between mycophenolic acid AUC and the likelihood of rejection. High mycophenolic acid values were associated with a very low probability of rejection. An AUC of 15 mu g.h/mL yielded 50% of maximal achievable efficacy with a 4% change of efficacy for a 1 mu g.h/mL change in AUC at the midpoint of the logistic curve. Exploratory analyses showed other variables (eg, the maximum observed plasma concentration, predose plasma concentration, and drug dose) had poorer predictive power for the rejection outcome. Bivariate regression confirmed the importance of AUC as a highly predictive variable and showed low predictive value of other variables, once the contribution of AUC had been considered. The characteristic side effects of mycophenolate mofetil therapy appeared related to drug dose but not to mycophenolic acid concentration. Conclusions The AUC of mycophenolic acid is predictive of the likelihood of allograft rejection after renal transplantation in patients receiving mycophenolate mofetil.

Fokko J. Van de Woude

Papers

The pharmacokinetic‐pharmacodynamic relationship for mycophenolate mofetil in renal transplantation