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Abstract: When mycophenolic acid (MPA) was originally marketed for immunosuppressive therapy, fixed doses were recommended by the manufacturer. Awareness of the potential for a more personalized dosing has led to development of methods to estimate MPA area under the curve based on the measurement of drug concentrations in only a few samples. This approach is feasible in the clinical routine and has proven successful in terms of correlation with outcome. However, the search for superior correlates has continued, and numerous studies in search of biomarkers that could better predict the perfect dosage for the individual patient have been published. As it was considered timely for an updated and comprehensive presentation of consensus on the status for personalized treatment with MPA, this report was prepared following an initiative from members of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT). Topics included are the criteria for analytics, methods to estimate exposure including pharmacometrics, the potential influence of pharmacogenetics, development of biomarkers, and the practical aspects of implementation of target concentration intervention. For selected topics with sufficient evidence, such as the application of limited sampling strategies for MPA area under the curve, graded recommendations on target ranges are presented. To provide a comprehensive review, this report also includes updates on the status of potential biomarkers including those which may be promising but with a low level of evidence. In view of the fact that there are very few new immunosuppressive drugs under development for the transplant field, it is likely that MPA will continue to be prescribed on a large scale in the upcoming years. Discontinuation of therapy due to adverse effects is relatively common, increasing the risk for late rejections, which may contribute to graft loss. Therefore, the continued search for innovative methods to better personalize MPA dosage is warranted., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Therapeutic drug monitoring (TDM) is mandatory for the immunosuppressive drug tacrolimus (Tac). For clinical applicability, TDM is performed using morning trough concentrations. With recent developments making tacrolimus concentration determination possible in capillary microsamples and Bayesian estimator predicted area under the concentration curve (AUC), AUC-guided TDM may now be clinically applicable. Tac circadian variation has, however, been reported, with lower systemic exposure following the evening dose. The aim of the present study was to investigate tacrolimus pharmacokinetic (PK) after morning and evening administrations of twice-daily tacrolimus in a real-life setting without restrictions regarding food and concomitant drug timing. Two 12 hour tacrolimus investigations were performed; after the morning dose and the following evening dose, respectively, in 31 renal transplant recipients early after transplantation both in a fasting-state and under real-life nonfasting conditions (14 patients repeated the investigation). We observed circadian variation under fasting-conditions: 45% higher peak-concentration and 20% higher AUC following the morning dose. In the real-life nonfasting setting, the PK-profiles were flat but comparable after the morning and evening doses, showing slower absorption rate and lower AUC compared with the fasting-state. Limited sampling strategies using concentrations at 0, 1, and 3 hours predicted AUC after fasting morning administration, and samples obtained at 1, 3, and 6 hours predicted AUC for the other conditions (evening and real-life nonfasting). In conclusion, circadian variation of tacrolimus is present when performed in patients who are in the fasting-state, whereas flatter PK-profiles and no circadian variation was present in a real-life, nonfasting setting., (© 2020 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.)

Background: Therapeutic drug monitoring (TDM) of tacrolimus (Tac) is mandatory in renal transplant recipients (RTxR). Area under the concentration versus time curve (AUC) is the preferred measure for Tac exposure; however, for practical purposes, most centers use trough concentrations as a clinical surrogate. Limited sampling strategies in combination with population pharmacokinetic model-derived Bayesian estimators (popPK-BE) may accurately predict individual AUC. The use of self-collected capillary microsamples could simplify this strategy. This study aimed to investigate the potential of AUC-targeted Tac TDM using capillary microsamples in combination with popPK-BE., Methods: A single-center prospective pharmacokinetic study was conducted in standard-risk RTxR (n = 27) receiving Tac twice daily. Both venous and capillary microsamples (Mitra; Neoteryx, Torrance, CA) were obtained across 2 separate 12-hour Tac dosing intervals (n = 13 samples/AUC). Using popPK-BE, reference AUC (AUCref) was determined for each patient using all venous samples. Different limited sampling strategies were tested for AUC predictions: (1) the empiric sampling scheme; 0, 1, and 3 hours after dose and (2) 3 sampling times determined by the multiple model optimal sampling time function in Pmetrics. Agreement between the predicted AUCs and AUCref were evaluated using C-statistics. Accepted agreement was defined as a total deviation index ≤±15%., Results: The AUC from capillary microsamples revealed high accuracy and precision compared with venous AUCref, and 85% of the AUCs had an error within ±11.9%. Applying microsamples at 0, 1, and 3 hours after dose predicted venous AUCref with acceptable agreement. Patients performed self-sampling with acceptable accuracy., Conclusions: Capillary microsampling is patient-centered, making AUC-targeted TDM of Tac feasible without extended hospital stays. Samples obtained 0, 1, and 3 hours after dose, combined with popPK-BE, accurately predict venous Tac AUC.

Background: Therapeutic drug monitoring is standard practice for the immunosuppressant tacrolimus (Tac). Venous blood sampling at outpatient clinics is time-consuming and impractical with regard to obtaining trough concentrations on clinical visit days. Home-based blood sampling may be patient friendly and pave the way for limited sampling strategies for the prediction of total drug exposure. The aim was to establish a Tac assay for dried capillary microsamples, ensuring reliable measurements during the full dose interval in renal transplant recipients., Methods: An assay based on volumetric absorptive microsampling and liquid chromatography tandem mass spectrometry was validated. The agreement between capillary microsamples and liquid venous samples was investigated in stable renal recipients on twice-daily Tac dosing. Sampling throughout the 12-hour dose interval was examined at 2 separate days, at least 1 week apart, for each participant. Two sets of samples were obtained at each time point, one delivered directly to the laboratory and one sent through mail., Results: Twenty-seven renal transplant recipients were included, of whom 26 were investigated twice. Tac was efficiently extracted from the dried microsamples (mean recovery 94%-103%). The between-series mean accuracy was 88%-98% with coefficients of variation ≤5.0% (≤11% at the lower limit of quantification), measurement range 0.70-60 mcg/L. The mean difference between parallel microsamples was 5%-7%. Overall, the mean differences between dried microsamples and liquid samples were -3.1% when mailed (n = 679) and -4.2% when directly delivered (n = 682). Less than 8% were outside ±20%. The microsamples were stable for 1 month at ambient temperature., Conclusions: The microsample method demonstrated acceptable performance. Tac concentrations can be reliably quantified throughout the dose interval by using volumetric absorptive microsampling in renal transplant recipients, and the results are not influenced by postal shipment.

Annual assessment of adherence would strengthen long-term outcome assessments from registry data. The objective of this study was to evaluate tools suitable for annual routine capture of adherence data in renal transplant recipients. A single-centre open prospective trial included 295 renal transplant recipients on tacrolimus. Two-thirds of the patients were included 4 weeks post-transplant, randomized 1:1 to intensive or single-point adherence assessment in the early phase and 1-year post-transplant. One-third were included 1-year post-transplant during a cross-sectional investigation. Adherence was assessed using multiple methods: The "Basel Assessment of Adherence to Immunosuppressive Medication Scale" (BAASIS © ) questionnaire was used to assess self-reported adherence. The treating clinician scored patient's adherence and tacrolimus trough-concentration variability was calculated. In the analyses, the data from the different tools were dichotomized (adherent/nonadherent). The BAASIS © overall response rate was over 80%. Intensive BAASIS © assessment early after transplantation increased the chance of capturing a nonadherence event, but did not influence the 1-year adherence prevalence. The adherence tools generally captured different populations. Combining the tools, the nonadherence prevalence at 1 year was 38%. The different tools identified to a large degree different patients as nonadherent. Combining these tools is feasible for annual capture of adherence status., (© 2019 Steunstichting ESOT.)

Ten years ago, a consensus report on the optimization of tacrolimus was published in this journal. In 2017, the Immunosuppressive Drugs Scientific Committee of the International Association of Therapeutic Drug Monitoring and Clinical Toxicity (IATDMCT) decided to issue an updated consensus report considering the most relevant advances in tacrolimus pharmacokinetics (PK), pharmacogenetics (PG), pharmacodynamics, and immunologic biomarkers, with the aim to provide analytical and drug-exposure recommendations to assist TDM professionals and clinicians to individualize tacrolimus TDM and treatment. The consensus is based on in-depth literature searches regarding each topic that is addressed in this document. Thirty-seven international experts in the field of TDM of tacrolimus as well as its PG and biomarkers contributed to the drafting of sections most relevant for their expertise. Whenever applicable, the quality of evidence and the strength of recommendations were graded according to a published grading guide. After iterated editing, the final version of the complete document was approved by all authors. For each category of solid organ and stem cell transplantation, the current state of PK monitoring is discussed and the specific targets of tacrolimus trough concentrations (predose sample C0) are presented for subgroups of patients along with the grading of these recommendations. In addition, tacrolimus area under the concentration-time curve determination is proposed as the best TDM option early after transplantation, at the time of immunosuppression minimization, for special populations, and specific clinical situations. For indications other than transplantation, the potentially effective tacrolimus concentrations in systemic treatment are discussed without formal grading. The importance of consistency, calibration, proficiency testing, and the requirement for standardization and need for traceability and reference materials is highlighted. The status for alternative approaches for tacrolimus TDM is presented including dried blood spots, volumetric absorptive microsampling, and the development of intracellular measurements of tacrolimus. The association between CYP3A5 genotype and tacrolimus dose requirement is consistent (Grading A I). So far, pharmacodynamic and immunologic biomarkers have not entered routine monitoring, but determination of residual nuclear factor of activated T cells-regulated gene expression supports the identification of renal transplant recipients at risk of rejection, infections, and malignancy (B II). In addition, monitoring intracellular T-cell IFN-g production can help to identify kidney and liver transplant recipients at high risk of acute rejection (B II) and select good candidates for immunosuppression minimization (B II). Although cell-free DNA seems a promising biomarker of acute donor injury and to assess the minimally effective C0 of tacrolimus, multicenter prospective interventional studies are required to better evaluate its clinical utility in solid organ transplantation. Population PK models including CYP3A5 and CYP3A4 genotypes will be considered to guide initial tacrolimus dosing. Future studies should investigate the clinical benefit of time-to-event models to better evaluate biomarkers as predictive of personal response, the risk of rejection, and graft outcome. The Expert Committee concludes that considerable advances in the different fields of tacrolimus monitoring have been achieved during this last decade. Continued efforts should focus on the opportunities to implement in clinical routine the combination of new standardized PK approaches with PG, and valid biomarkers to further personalize tacrolimus therapy and to improve long-term outcomes for treated patients.

Patients with high tacrolimus clearance are more likely to experience transient under-immunosuppression in case of a missed or delayed dose. We wanted to investigate the association between estimated tacrolimus clearance and development of graft interstitial fibrosis and tubular atrophy (IFTA) in kidney transplant recipients. Associations between estimated tacrolimus clearance [daily tacrolimus dose (mg)/trough concentration (μg/l)] and changes in IFTA biopsy scores from week 7 to 1-year post-transplantation were investigated. Data from 504 patients transplanted between 2009 and 2013 with paired protocol biopsies (7 weeks + 1-year post-transplant) were included. There were no differences in baseline biopsy scores (7 weeks) in patients with different estimated tacrolimus clearance. Increasing tacrolimus clearance was significantly associated with increased ci + ct score of ≥2 at 1 year, odds ratio of 1.67 (95% CI; 1.11-2.51). In patients without fibrosis (ci + ct ≤ 1) at 7 weeks (n = 233), increasing tacrolimus clearance was associated with development of de novo IFTA (i + t ≤ 1 and ci + ct ≥ 2) at 1 year, odds ratio of 2.01 (95% CI; 1.18-3.50) after adjusting for confounders. High tacrolimus clearance was significantly associated with development of IFTA the first year following renal transplantation., (© 2018 Steunstichting ESOT.)

Background: Belatacept (Nulojix; Bristol-Myers Squibb, New York, NY) is a biological immunosuppressive drug used for the prophylaxis of acute rejection after renal transplantation. Few studies have described belatacept pharmacokinetics, and the effect of therapeutic drug monitoring has not been investigated. We have developed a drug-capture assay (using drug target) to measure belatacept in serum and applied this assay in a pharmacokinetic study in renal transplant recipients., Methods: CD80 was used to trap belatacept onto streptavidin-coated wells. Captured drug was quantified using Eu-labeled protein A and time-resolved fluorescence. The assay was applied in a pilot pharmacokinetic study in renal transplanted patients receiving belatacept infusions. Belatacept serum concentrations were determined at several time points between belatacept infusions. A simple population pharmacokinetic model was developed to visualize measured and predicted belatacept serum concentrations., Results: The assay range was 0.9-30 mg/L with accuracy within 91%-99% and coefficients of variation ranging from 1.2% to 3.6%. Predilution extended the measurement range to 130 mg/L with an accuracy of 90% and coefficients of variation of 3.8%. Samples were stable during storage at 4°C for 15 days and during 2 freeze-thaw cycles. Belatacept concentrations were determined in a total of 203 serum samples collected during 26 infusion intervals from 5 renal transplant recipients. The population pharmacokinetic model visualized both measured and predicted concentrations., Conclusions: We have developed an automated, accurate, and precise assay for the determination of belatacept serum concentrations. The assay was successfully applied in a pharmacokinetic study in renal transplant recipients receiving belatacept infusions.

Objective: Successful simultaneous pancreas and kidney transplantation (SPK) or pancreas transplantation alone (PTA) restores glycemic control. Diabetes and impaired kidney function are common side effects of immunosuppressive therapy. This study addresses glucometabolic parameters and kidney function during the first year., Methods: We examined 67 patients with functioning grafts (SPK n = 30, PTA n = 37) transplanted between September 2011 and November 2016 who underwent repeated oral glucose tolerance tests (OGTTs) 8 and 52 weeks after transplantation. Another 19 patients lost their graft the first year post-transplant and 28 patients did not undergo repeated OGTTs and could not be studied. All patients received ATG induction therapy plus tacrolimus, mycophenolate and prednisolone. Glomerular filtration rate was measured before and 8 and 52 weeks after transplantation by serum clearance methods., Results: From week 8 to 52 after transplantation, mean fasting glucose decreased (SPK: 5.4 ± 0.7 to 5.1 ± 0.8 mmol/L, PTA: 5.4 ± 0.6 to 5.2 ± 0.7 mmol/L; both P < 0.05), and also 120-min post-OGTT glucose (SPK: 6.9 ± 2.9 to 5.7 ± 2.2 mmol/L; P = 0.07, PTA: 6.5 ± 1.7 to 5.7 ± 1.2 mmol/L; P < 0.05). Fasting C-peptide levels also decreased (SPK: 1500 ± 573 to 1078 ± 357 pmol/L, PTA: 1210 ± 487 to 1021 ± 434 pmol/L, both P < 0.005). Measured GFR decreased from enlistment to 8 weeks post transplant in PTA patients (94 ± 22 to 78 ± 19 mL/min/1.73 m2; P < 0.005), but did not deteriorate from week 8 to week 52 (SPK: 55.0 ± 15.1 vs 59.7 ± 11.3 ml/min/1.73 m²; P = 0.19, PTA: 76 ± 19 vs 77 ± 19 mL/min/1.73 m²; P = 0.74)., Conclusion: Glycemic control and kidney function remain preserved in recipients with functioning SPK and PTA grafts 1 year after transplantation., (© 2018 European Society of Endocrinology)

Background: Tacrolimus (TAC) is currently the cornerstone of immunosuppressive protocols for renal transplant recipients. Despite therapeutic whole blood monitoring, TAC is associated with nephrotoxicity, and it has been hypothesized that intrarenal accumulation of TAC and/or its metabolites are involved. As TAC is a substrate of P-glycoprotein (P-gp), the expression and activity of this efflux transporter could influence the levels of TAC in renal tissue. The primary aim of this study was to develop and validate a method for quantification of TAC in tissue homogenates from single human renal core biopsies. The secondary aim was to provide measures of P-gp expression and of the demethylated metabolites of TAC in the same renal biopsy., Methods: Human renal tissue, with and without clinical TAC exposure, was used for method development and validation. Homogenates were prepared with bead-beating, and concentrations of TAC and its demethylated metabolites were analyzed with liquid chromatography tandem mass spectrometry after protein precipitation. A Western blot method was used for semiquantification of P-gp expression in the homogenates. The final methods were applied to renal core biopsies from 2 transplant patients., Results: The TAC assay showed within- and between-run mean accuracy between 99.7% and 107% and coefficients of variation ≤6.7%. Matrix effects were nonsignificant, and samples were stable for 3 months preanalytically when stored at -80°C. TAC concentrations in the renal core biopsies were 62.6 and 43.7 pg/mg tissue. The methods for measurement of desmethyl-TAC and P-gp expression were suitable for semiquantification in homogenates from renal core biopsies., Conclusions: These methods may be valuable for the elucidation of the pharmacokinetic mechanisms behind TAC-induced nephrotoxicity in renal transplant recipients.

Due to a high inter-individual variability in its pharmacokinetics, tacrolimus dose individualization is mandatory. Even though the expert opinion has defined the area under the curve (AUC) as the best marker to use when performing dose adjustment of tacrolimus, most centres only use trough levels. Multiple targets have been proposed for this parameter and physicians rely largely on their personal experience when making a decision about dose adjustment. Several population pharmacokinetics models (POPPK) allowing AUC determination have been developed, but only a few are actually used in routine practice for dose individualization. These POPPK models can also be used to perform Monte Carlo simulations that help to establish different dosing rules or to anticipate the pharmacokinetics of tacrolimus in particular populations, without conducting clinical trials. Various available applications of POPPK models to assist the prescriber in choosing the best tacrolimus dose are discussed in this paper as well as the difficulties in introducing them into routine therapeutic drug monitoring., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Aims: Tacrolimus is a cornerstone in modern immunosuppressive therapy after kidney transplantation. Tacrolimus dosing is challenged by considerable pharmacokinetic variability, both between patients and over time after transplantation, partly due to variability in cytochrome P450 3A (CYP3A) activity. The aim of this study was to assess the value of the endogenous CYP3A marker 4β-hydroxycholesterol (4βOHC) for tacrolimus dose individualization early after kidney transplantation., Methods: Data were obtained from 79 adult kidney transplant recipients who contributed a total of 625 4βOHC measurements and 1999 tacrolimus whole blood concentrations during the first 2 months after transplantation. The relationships between 4βOHC levels and individual estimates of tacrolimus apparent plasma clearance (CL/F plasma ) at different time points after transplantation were investigated using scatterplots and population pharmacokinetic modelling., Results: There was no significant correlation between pre-transplant 4βOHC levels and tacrolimus CL/F plasma the first week (r = 0.19 [95% CI -0.03-0.40]) or between 4βOHC and tacrolimus CL/F plasma 1 week (r = 0.20 [-0.11-0.47]), 4 weeks (r = 0.21 [-0.07-0.46]) or 2 months (r = 0.24 [-0.03-0.48]) after transplantation (P ≥ 0.06). In the population analysis, time-varying 4βOHC was not a statistically significant covariate on tacrolimus CL/F plasma , neither in terms of absolute values (P = 0.11) nor in terms of changes from baseline (P = 0.17). 4βOHC values increased between 1 week and 2 months after transplantation (median change +57% [IQR +22-83%], P < 0.001), indicating increasing CYP3A activity. Contradictorily, tacrolimus CL/F plasma decreased over the same period (median change -13% [IQR -3 to -26%], P < 0.001)., Conclusions: 4βOHC does not appear to have a clinical potential to improve individualization of tacrolimus doses early after kidney transplantation., (© 2017 The British Pharmacological Society.)

Background: Mycophenolic acid (MPA) is the active immunosuppressive substance in both mycophenolate mofetil and mycophenolate sodium, and it is widely used after organ transplantation. In women, taking MPA is teratogenic and may also influence spermatogenesis. There is a lack of knowledge regarding outcome of pregnancies fathered by men exposed to MPA., Methods: We compared outcomes in pregnancies fathered by renal transplant men per whether they had been exposed to MPA or not at time of conception. A nationwide population-based retrospective cohort study was performed. Data from the Norwegian Renal Registry with all renal transplanted men alive between January 1, 1995 and December 31, 2015 were included, and relevant outcome data were extracted from the Medical Birth Registry of Norway., Results: During the given time, 230 immunosuppressed renal transplanted men fathered 350 children (155 on MPA/195 not on MPA). There were no significant increased risks of malformation (3.9% vs. 2.6%, P = 0.49) in MPA exposed versus unexposed cohorts of children. The average dose (±SD) of mycophenolate was 1.42 ± 0.3 g/day and the individual median MPA trough concentration in the time period of anticipated conception and pregnancy was 2.8 ± 1.6 mg/L. Birth weight was similar in exposed and unexposed cohorts of children; 3381 ± 681 g vs. 3429 ± 714 g (P = 0.53)., Conclusions: Paternal exposure to MPA did not increase the risk of adverse birth outcomes in children fathered by male kidney transplanted patients. These results are reassuring and support the continuation of paternal MPA treatment before, during, and after conception.

Background: Early after renal transplantation, it is often challenging to achieve and maintain tacrolimus concentrations within the target range. Computerized dose individualization using population pharmacokinetic models may be helpful. The objective of this study was to prospectively evaluate the target concentration achievement of tacrolimus using computerized dosing compared with conventional dosing performed by experienced transplant physicians., Methods: A single-center, prospective study was conducted. Renal transplant recipients were randomized to receive either computerized or conventional tacrolimus dosing during the first 8 weeks after transplantation. The median proportion of tacrolimus trough concentrations within the target range was compared between the groups. Standard risk (target, 3-7 μg/L) and high-risk (8-12 μg/L) recipients were analyzed separately., Results: Eighty renal transplant recipients were randomized, and 78 were included in the analysis (computerized dosing (n = 39): 32 standard risk/7 high-risk, conventional dosing (n = 39): 35 standard risk/4 high-risk). A total of 1711 tacrolimus whole blood concentrations were evaluated. The proportion of concentrations per patient within the target range was significantly higher with computerized dosing than with conventional dosing, both in standard risk patients (medians, 90% [95% confidence interval {95% CI}, 84-95%] vs 78% [95% CI, 76-82%], respectively, P < 0.001) and in high-risk patients (medians, 77% [95% CI, 71-80%] vs 59% [95% CI, 40-74%], respectively, P = 0.04)., Conclusions: Computerized dose individualization improves target concentration achievement of tacrolimus after renal transplantation. The computer software is applicable as a clinical dosing tool to optimize tacrolimus exposure and may potentially improve long-term outcome.

Background: Everolimus (EVE) is an immunosuppressive drug dosed according to therapeutic drug monitoring in renal transplant recipients. The primary site of action is within activated lymphocytes. EVE is a substrate of the efflux transporter ABCB1 also known as P-glycoprotein. Limited data exist regarding a possible association between whole blood and intralymphocyte concentrations of EVE and the potential influence of ABCB1., Methods: Twelve renal transplant recipients (5 men and 7 women) treated with EVE underwent a pharmacokinetic investigation where EVE concentrations in whole blood and in peripheral blood mononuclear cells (PBMC) were determined within a dosing interval. In addition, the activity of ABCB1 in PBMC was determined using the Rhodamine123 efflux assay and the patients' genotypes of ABCB1 were determined., Results: There was a significant correlation between EVE AUC0-12 in whole blood and in PBMC (r = 0.90, P < 0.01), and no association was demonstrated between the ABCB1 activity and EVE PBMC/whole blood ratio of trough concentrations (r = 0.23, P = 0.76). Furthermore, ABCB1 1236C>T, 3435C>T, and 2677G>T/A polymorphism did not influence EVE AUC0-12 PBMC/whole blood ratio., Conclusions: The results revealed a significant association between EVE whole blood and PBMC concentrations, suggesting that ABCB1-mediated efflux from PBMC to be of minor importance for the distribution of EVE.

Background: Proper bioequivalence studies comparing original with generic immunosuppressive drugs in patients are limited, especially in the increasing population of elderly renal transplant recipients. We performed an open-label, single-center, prospective, randomized, cross-over study and compared steady-state pharmacokinetics (PK) of a generic tacrolimus (Tacni) formulation with the original (Prograf) in renal transplant recipients older than 60 years., Methods: Twenty-eight patients, with a median age of 69 years (range, 60 to 78), were randomized at time of transplantation to receive original or generic tacrolimus, and 25 (21 men, 4 women) provided two evaluable 12-hr PK profiles. The PK investigations were performed in a stable phase approximately 6 and 8 weeks postengraftment. After the first PK investigation, tacrolimus formulations were switched (1:1 dose ratio)., Results: Generic tacrolimus did not meet the bioequivalence criteria; the area under the curve(0-12) ratio of generic-original tacrolimus formulation was 1.17 (90% confidence interval, 1.10-1.23) and the Cmax ratio was 1.49 (90% confidence interval, 1.35-1.65). The generic formulation also showed a shorter time to C(max) (T(max)) (P=0.04). Importantly, the lack of bioequivalence was not reflected in the standard monitoring parameter, trough concentrations (P=0.80)., Conclusion: Generic tacrolimus (Tacni) was not found to be bioequivalent to the original formulation in elderly renal transplant recipients. The significantly higher systemic exposure of tacrolimus, despite similar trough concentrations, may in the long run increase the risk of adverse effects.

Aims: The aim was to develop a theory-based population pharmacokinetic model of tacrolimus in adult kidney transplant recipients and to externally evaluate this model and two previous empirical models., Methods: Data were obtained from 242 patients with 3100 tacrolimus whole blood concentrations. External evaluation was performed by examining model predictive performance using Bayesian forecasting., Results: Pharmacokinetic disposition parameters were estimated based on tacrolimus plasma concentrations, predicted from whole blood concentrations, haematocrit and literature values for tacrolimus binding to red blood cells. Disposition parameters were allometrically scaled to fat free mass. Tacrolimus whole blood clearance/bioavailability standardized to haematocrit of 45% and fat free mass of 60 kg was estimated to be 16.1 l h−1 [95% CI 12.6, 18.0 l h−1]. Tacrolimus clearance was 30% higher (95% CI 13, 46%) and bioavailability 18% lower (95% CI 2, 29%) in CYP3A5 expressers compared with non-expressers. An Emax model described decreasing tacrolimus bioavailability with increasing prednisolone dose. The theory-based model was superior to the empirical models during external evaluation displaying a median prediction error of −1.2% (95% CI −3.0, 0.1%). Based on simulation, Bayesian forecasting led to 65% (95% CI 62, 68%) of patients achieving a tacrolimus average steady-state concentration within a suggested acceptable range., Conclusion: A theory-based population pharmacokinetic model was superior to two empirical models for prediction of tacrolimus concentrations and seemed suitable for Bayesian prediction of tacrolimus doses early after kidney transplantation.

Purpose: Tacrolimus (Tac) and cyclosporine (CsA) are mainly metabolized by CYP3A4 and CYP3A5. Several studies have demonstrated an association between the CYP3A5 genotype and Tac dose requirements. Recently, CYP3A4, PPARA, and POR gene variants have been shown to influence CYP3A metabolism. The present study investigated potential associations between CYP3A5*3, CYP3A4*22, PPARA c.209- 1003G>A and c.208+3819A>G, and POR*28 alleles and dose-adjusted concentrations (C/D) of Tac and CsA in 177 renal transplant patients early post-transplant., Methods: All patients (n=177) were genotyped for CYP3A4*22, CYP3A5*3, POR*28, PPARA c.209-1003G>A, and PPARA c.208+3819A>G using real-time polymerase chain reaction (PCR) and melting curve analysis with allelespecific hybridization probes or PCR restriction fragment length polymorphisms (RFLP) methods. Drug concentrations and administered doses were retrospectively collected from patient charts at Oslo University Hospital, Rikshospitalet, Norway. One steady-state concentration was collected for each patient., Results: We confirmed a significant impact of the CYP3A5*3 allele on Tac exposure. Patients with POR*28 and PPARA variant alleles demonstrated 15 % lower (P=0.04) and 19 % higher (P=0.01) Tac C0/D respectively. CsA C2/D was 53 % higher among CYP3A4*22 carriers (P=0.03)., Conclusion: The results support the use of pre-transplant CYP3A5 genotyping to improve initial dosing of Tac, and suggest that Tac dosing may be further individualized by additional POR and PPARA genotyping. Furthermore, initial CsA dosing may be improved by pre-transplant CYP3A4*22 determination.

Purpose: To identify patient characteristics that influence tacrolimus individual dose requirement in kidney transplant recipients., Methods: Data on forty-four 12-h pharmacokinetic profiles from 29 patients and trough concentrations in 44 patients measured during the first 70 days after transplantation (1,546 tacrolimus whole blood concentrations) were analyzed. Population pharmacokinetic modeling was performed using NONMEM 7.2®., Results: Standardization of tacrolimus whole blood concentrations to a hematocrit value of 45 % improved the model fit significantly (p<0.001). Fat-free mass was the best body size metric to predict tacrolimus clearance and volume of distribution. Bioavailability was 49 % lower in expressers of cytochrome P450 3A5 (CYP3A5) than in CYP3A5 nonexpressers. Younger females (<40 years) showed a 35 % lower bioavailability than younger males. Bioavailability increased with age for both males and females towards a common value at age >55 years that was 47 % higher than the male value at age <40 years. Bioavailability was highest immediately after transplantation, decreasing steeply thereafter to reach its nadir at day 5, following which it increased during the next 55 days towards an asymptotic value that was 28 % higher than that on day 5., Conclusions: Hematocrit predicts variability in tacrolimus whole blood concentrations but is not expected to influence unbound (therapeutically active) concentrations. Fat-free mass, CYP3A5 genotype, sex, age and time after transplant influence the tacrolimus individual dose requirement. Because hematocrit is highly variable in kidney transplant patients and increases substantially after kidney transplantation, hematocrit is a key factor in the interpretation of tacrolimus whole blood concentrations.

Long-term triple immunosuppressive therapy with cyclosporine (CsA), mycophenolate mofetil (MMF) and prednisolone may be excessively powerful for many transplant recipients. We compared withdrawal of either MMF or CsA in stable kidney transplants on triple immunosuppression. The study was a prospective, randomized, controlled 12-months trial in stable kidney transplants. The patients who withdrew CsA were given MMF 2 g/d, and CsA troughs were between 75 and 125 ng/mL in MMF withdrawal. Planned inclusion was 298 patients. The study was prematurely aborted after inclusion of 39 patients. Acute rejection rates were 6/20 (30%) in the MMF group compared with 0/19 (0%) in the CsA group (p = 0.02). Time to acute rejections was 4.0-28.7 months after withdrawal. Trough concentrations of mycophenolic acid (MPA) and CsA showed therapeutic levels. The subjects have been observed for eight yr, and of the 28 patients remaining on randomized therapy, the MMF patients preserved graft function better than CsA patients. Death-censored graft survival was 75% and 95% (p = 0.18) and patient survival was 70% and 68% (p = 0.99) in the MMF and CsA groups, respectively, at the end of long-term follow-up. CsA withdrawal was associated with a high rate of acute rejections. Initially, the treatment of acute rejections was successful. However, five of six lost their grafts in the long term., (© 2013 John Wiley & Sons A/S.)

Introduction: Calcineurin inhibitors (CNI) have greatly reduced the rate of acute rejection and improved short-term graft survival after organ transplantation, however, long-term survival has hardly changed since their introduction. CNIs are believed to contribute to graft fibrosis, have side effects that adversely affect cardiovascular risk, and are associated with an increased rate of post-transplant malignancies. Everolimus, a mammalian target of rapamycin (mTOR) inhibitor, is not associated with graft fibrosis, has a superior cardiovascular risk profile to CNI therapy and has shown potential for the prevention and treatment of diverse forms of cancer., Areas Covered: This review summarizes key aspects of everolimus, including its mechanism of action, pharmacokinetics, pharmacodynamics, drug-drug interactions and pivotal clinical studies with a focus on safety and efficacy., Expert Opinion: Everolimus is effective in improving graft function in selected kidney transplant patients. Most adverse events are present for a short time after the introduction of everolimus, and are manageable. Everolimus has the potential to become an important agent in de novo and maintenance immunotherapy in kidney transplant recipients.

Cyclosporine A (CsA) and tacrolimus (Tac) are immunosuppressive drugs used in the majority of patients with solid organ transplants, generally in combination with a wide range of drugs. CsA and Tac seem not only to be substrates of CYP3A but have also been described as inhibitors of CYP3A. For CsA, in particular, inhibition of CYP3A has been suggested as the main mechanism of interactions seen clinically with various drugs. The aim of this study was to investigate the inhibitory effect and inhibition characteristics of CsA and Tac on CYP3A4 and CYP3A5 in vitro and to evaluate its clinical relevance. Inhibition by CsA and Tac was studied using midazolam as the probe substrate in coincubation and preincubation investigations using human liver microsomes (HLMs) as well as specific CYP3A4- and CYP3A5-expressing insect microsomes (Supersomes). In vitro-in vivo extrapolations (IVIVEs) were performed to evaluate the clinical relevance of the inhibition. Both CsA and Tac competitively inhibited CYP3A in HLMs, showing inhibition constants (K(i)) of 0.98 and 0.61 μM, respectively. Experiments in Supersomes revealed that Tac inhibited both CYP3A4 and CYP3A5, whereas CsA only inhibited CYP3A4. In contrast to the HLM experiments, studies in Supersomes showed inhibition by Tac to be NADPH- and time-dependent, with a 5-fold reduction in IC(50) after preincubation, supporting a time-dependent inhibition mechanism in recombinant microsomes. By application of HLM data, IVIVE estimated the area under the concentration versus time curve of midazolam to increase by 73 and 27% with CsA and Tac, respectively. The inhibitory effect was predominantly on the intestinal level, whereas hepatic intrinsic clearance seemed unaffected.

Background: New-onset diabetes after transplantation may be associated with the use of tacrolimus (Tac) causing impaired insulin release or reduced insulin sensitivity. Such effects have not been studied in renal transplant recipients receiving traditional twice-daily tacrolimus (TacBID) and then compared to the new once-daily prolonged release formulation of tacrolimus (TacOD)., Methods: We performed a prospective crossover study of 20 stable non-diabetic renal transplant recipients. All patients underwent one hyperglycaemic clamp on TacBID (3.8 ± 2.2 mg/day) and a new clamp 4-6 weeks after a 1:1 mg/day switch to TacOD (4.0 ± 2.8 mg/day)., Results: Tac trough concentrations decreased from 6.6 ± 2.9 to 5.4 ± 1.4 μg/mL (P = 0.037) and Tac max from 21.3 ± 8.4 to 15.2 ± 3.5 μg/L (P = 0.001). Tac AUC(0-24) was reduced from 265 ± 112 to 218 ± 47 μg × h/L (P = 0.12). The hyperglycaemic clamp did not detect any change in insulin sensitivity index after conversion [0.26 ± 0.21 versus 0.26 ± 0.25 μmol/min/kg/(pmol/L insulin), P = 0.99] nor any change in first (334 ± 274 versus 353 ± 248 μIU × min/mL, P = 0.41) or second phase insulin secretion (224 ± 155 versus 263 ± 210 μIU × min/mL/mmol glucose, P = 0.60) on TacBID versus TacOD., Conclusions: Conversion from standard TacBID to TacOD on a 1:1 mg basis is safe. In spite of a reduced Tac exposure, there was no change in insulin release or sensitivity in renal transplant recipients.

Therapeutic drug monitoring (TDM) is mandatory for the immunosuppressive drug tacrolimus (Tac). For clinical applicability, TDM is performed using morning trough concentrations. With recent developments making tacrolimus concentration determination possible in capillary microsamples and Bayesian estimator predicted area under the concentration curve (AUC), AUC‐guided TDM may now be clinically applicable. Tac circadian variation has, however, been reported, with lower systemic exposure following the evening dose. The aim of the present study was to investigate tacrolimus pharmacokinetic (PK) after morning and evening administrations of twice‐daily tacrolimus in a real‐life setting without restrictions regarding food and concomitant drug timing. Two 12 hour tacrolimus investigations were performed; after the morning dose and the following evening dose, respectively, in 31 renal transplant recipients early after transplantation both in a fasting‐state and under real‐life nonfasting conditions (14 patients repeated the investigation). We observed circadian variation under fasting‐conditions: 45% higher peak‐concentration and 20% higher AUC following the morning dose. In the real‐life nonfasting setting, the PK‐profiles were flat but comparable after the morning and evening doses, showing slower absorption rate and lower AUC compared with the fasting‐state. Limited sampling strategies using concentrations at 0, 1, and 3 hours predicted AUC after fasting morning administration, and samples obtained at 1, 3, and 6 hours predicted AUC for the other conditions (evening and real‐life nonfasting). In conclusion, circadian variation of tacrolimus is present when performed in patients who are in the fasting‐state, whereas flatter PK‐profiles and no circadian variation was present in a real‐life, nonfasting setting. [ABSTRACT FROM AUTHOR]

Background and Objective: Intracellular exposure of everolimus may be a better marker of therapeutic effect than trough whole blood concentrations. We aimed to develop pharmacokinetic population models and Bayesian estimators based on a limited sampling strategy for estimation of dose interval exposures of everolimus in whole blood and peripheral blood mononuclear cells (PBMCs) in renal transplant recipients.Methods: Full whole blood and PBMC concentration-time profiles of everolimus were obtained from 12 stable renal transplant recipients on two different occasions, 4 weeks apart. The dataset was treated as 24 individual profiles and split into a development dataset (n = 20) and a validation dataset (n = 4). The pharmacokinetic model was developed using non-parametric modeling and its performances and those of the derived Bayesian estimator were evaluated in the validation set.Results: A structural two-compartment model with first-order elimination and two absorption phases described by a sum of two gamma distributions were developed. None of the tested covariates (age, sex, albumin, hematocrit, fat-free mass and genetic variants such as CYP3A5*1, ABCB1 haplotype, PPARA*42, PPARA*48, and POR*28) were retained in the final model. A limited sampling schedule of two whole blood samples at 0 and 1.5 h and one PBMC sample at 1.5 h post dose provided accurate estimates of the area under the plasma concentration-time curve (AUC) in comparison with the trapezoidal reference AUC (relative bias ± standard deviation = - 3.9 ± 10.6 and 4.1 ± 12.3% for whole blood and PBMC concentrations, respectively).Conclusion: The developed model allows simultaneous and accurate prediction of everolimus exposure in whole blood and PBMCs, and supplies a base for a feasible exploration of the relationships between intracellular exposure and therapeutic effects in prospective trials. [ABSTRACT FROM AUTHOR]

Background: Higher incidence of malignancy and infectious diseases in kidney transplant recipients is related to immunosuppressive treatment after transplantation and the recipient's native immune system. The complement system is an essential component of the innate immunity. The aim of the present study was to investigate the association of effector molecules of the lectin complement pathway with graft and patient survival after kidney transplantation. Methods: Two mannan-binding lectin (MBL) associated proteases, MASP-2 and MASP-3 (activators of the lectin pathway) and two MBL-associated proteins, MAp44 and MAp19 (inhibitors of the lectin pathway) were measured at the time of transplantation in 382 patients (≥17 years old) transplanted in 2000-2001. The cohort was followed until December 31, 2014. Data on patient and graft survival were obtained from the Norwegian Renal Registry. Cox proportional hazard regression models were performed for survival analyses. Results: Low MAp44 level (1st versus 2-4 quartile) was significantly associated with overall mortality; HR 1.52, 95 % CI 1.08-2.14, p = 0.017. In the sub analyses in groups below and above median age (51.7 years), low MAp44 as a predictor of overall mortality was statistically significant only in recipients of ≥51.7 years; HR 2.57, 95 % CI 1.42-4.66, p = 0.002. Furthermore, low MAp44 was associated with mortality due to infectious diseases; HR 2.22, 95 % CI 1.11-4.41, p = 0.023. There was no association between MASP-2, MASP-3 or MAp19 levels and patient mortality. No association between any measured biomarkers and death censored graft loss was found. Conclusions: Low MAp44 level at the time of transplantation was associated with increased overall mortality in kidney recipients of median age of 51.7 years or below and with mortality due to infectious diseases in the whole patient cohort after nearly 14-years of follow up after transplantation. No associations between other effector molecules; MASP-2, MASP-3 or MAp19 and recipient mortality were found, as well as no association of any biomarker with death censored graft loss. [ABSTRACT FROM AUTHOR]

Background New-onset diabetes after transplantation (NODAT) is a common complication after renal transplantation. There are limited available oral drugs to treat hyperglycaemia in this population owing to reduced renal function, potential interactions with immunosuppressive drugs and adverse effects such as hypoglycaemic events that may increase the cardiovascular risk. This study was initiated to investigate efficacy and safety of sitagliptin treatment that may represent a novel alternative in renal transplant recipients. Methods Nineteen long-term stable renal transplant recipients with NODAT were included in a controlled, cross-over study and randomized to first receive either sitagliptin 50–100 mg/day or a sitagliptin-free period of 4 weeks. Median age (interquartile range, IQR) was 67 (62–72) years (12 males/7 females), all studied 1 (1–3) year after transplantation. The immunosuppressive regimen was a triple calcineurin inhibitor-based therapy. Oral glucose tolerance test (OGTT) with insulin and C-peptide responses and laser Doppler (LD) flowmetry assessment of endothelial function were performed at baseline and after each treatment period. Home measurements of plasma glucose were performed daily during the study. Results The median (IQR) first- and second-phase insulin secretion responses increased significantly by 56.3% (45.2–112.6%, P = 0.005) and 39.3% (26.5–81.0%, P = 0.006), respectively, following sitagliptin treatment as compared with no sitagliptin treatment. Fasting and 2-h plasma glucose concentrations fell significantly {0.9 mmol/L [0.5–1.7 mmol/L (16.2 mg/dL), P = 0.003] and 2.9 mmol/L [0.5–6.4 mmol/L (52.3 mg/dL), P = 0.004], respectively}, as did also home measurements of plasma glucose. Endothelial function and plasma markers of cardiovascular risk were unaffected. No serious adverse events were observed. Two mild and asymptomatic hypoglycaemic episodes were observed in combination with glipizide. Conclusions Sitagliptin increases insulin secretion and reduces fasting and postprandial plasma glucose in renal transplant recipients with NODAT. The short-term treatment was well tolerated, and sitagliptin seems safe in this population. [ABSTRACT FROM AUTHOR]

Endothelial dysfunction is a common finding in renal transplant recipients (RTR) and is related to impaired local regulation of vasodilative and vasoconstrictive substances, such as nitric monoxide (NO) and endothelin-1 (ET-1). In non-transplanted patients, an association between impaired endothelial function and insulin resistance has been shown. Whether such an association also exists in RTR is unknown. Objective: The aim of the present study was to examine whether insulin resistance is associated with endothelial dysfunction in RTR. Material and methods: A total of 47 RTR in a stable phase six yr post-transplant were included in the statistical analysis. The immunosuppressive therapy was based on cyclosporine and prednisolone. Non-invasive assessment of endothelial function was performed with laser Doppler flowmetry of the forearm skin vasculature after local acetylcholine stimulation. Oral glucose tolerance tests comprising both glucose and insulin measurements were used to calculate insulin sensitivity (IS) indices. NO, ET-1 and von Willebrand factor were measured in fasting plasma samples. Results: Normal glucose tolerance was found in 31 RTR. In these subjects, both IS (r2=0.164, p=0.044) and plasma NO (r2=0.326, p=0.002) were significantly correlated with endothelial function. Patients with glucose intolerance (n=16) had higher plasma ET-1 and lower NO levels, but the association between IS and endothelial function was not significant in these subjects. In the total patient cohort, IS and endothelial function tended to be correlated (p=0.127). Conclusions: Endothelial dysfunction is significantly associated with insulin resistance in normoglycemic RTR but explains a rather small part of the variation. In glucose-intolerant recipients, IS appears to be more critically dependent on other factors not revealed in the present study. [ABSTRACT FROM AUTHOR]

The aim of the present study was to evaluate the possible influence of atorvastatin on the pharmacokinetics of cyclosporine (INN ciclosporin) and its main metabolites, AM1 and AM9, in renal transplant recipients. Whole blood samples from 18 renal transplanted patients on cyclosporine-based immunosuppressive therapy were collected prior to and after 4 weeks of treatment with atorvastatin (10 mg/day) and analysed with regard to both cyclosporine and its main metabolites, AM1 and AM9, using a specific chromatographic method with ultraviolet detection. On average, AUC0-12 [area under the whole blood concentration versus time curve in the dosing interval (0-12 h)] of cyclosporine was 5% (16, 5) (90% confidence interval) lower upon co-administration with atorvastatin. No statistically significant changes in any of the calculated pharmacokinetic variables [AUC0-12, maximum whole blood concentration (Cmax), whole blood concentration 12 h post dose (C12), time to Cmax (tmax), terminal half-life (t1/2)] for cyclosporine or the two metabolites, AM1 and AM9, upon atorvastatin treatment were observed. On average, atorvastatin did not affect the ratio between the CYP3A4-mediated metabolite AM9 and cyclosporine, suggesting that atorvastatin does not affect the CYP3A4 metabolism of cyclosporine to any significant extent. However, the influence of atorvastatin on the ratio between AM9 and cyclosporine showed large interindividual variability. The results of this study indicate that atorvastatin does not, on average, affect cyclosporine pharmacokinetics in renal transplant recipients. [ABSTRACT FROM AUTHOR]