Chinese Renal Transplant Patients Research Articles

Improving prediction of tacrolimus concentration using a combination of population pharmacokinetic modeling and machine learning in chinese renal transplant recipients.

The population pharmacokinetic (PPK) model-based machine learning (ML) approach offers a novel perspective on individual concentration prediction. This study aimed to establish a PPK-based ML model for predicting tacrolimus (TAC) concentrations in Chinese renal transplant recipients. Conventional TAC monitoring data from 127 Chinese renal transplant patients were divided into training (80%) and testing (20%) datasets. A PPK model was developed using the training group data. ML models were then established based on individual pharmacokinetic data derived from the PPK basic model. The prediction performances of the PPK-based ML model and Bayesian forecasting approach were compared using data from the test group. The final PPK model, incorporating hematocrit and CYP3A5 genotypes as covariates, was successfully established. Individual predictions of TAC using the PPK basic model, postoperative date, CYP3A5 genotype, and hematocrit showed improved rankings in ML model construction. XGBoost, based on the TAC PPK, exhibited the best prediction performance. The PPK-based machine learning approach emerges as a superior option for predicting TAC concentrations in Chinese renal transplant recipients.

Estimation of Mycophenolic Acid Exposure in Chinese Renal Transplant Patients by a Joint Deep Learning Model.

To predict mycophenolic acid (MPA) exposure in renal transplant recipients using a deep learning model based on a convolutional neural network with bilateral long short-term memory and attention methods. A total of 172 Chinese renal transplant patients were enrolled in this study. The patients were divided into a training group (n = 138, Ruijin Hospital) and a validation group (n = 34, Zhongshan Hospital). Fourteen days after renal transplantation, rich blood samples were collected 0-12 hours after MPA administration. The plasma concentration of total MPA was measured using an enzyme-multiplied immunoassay technique. A limited sampling strategy based on a convolutional neural network-long short-term memory with attention (CALS) model for the prediction of the area under the concentration curve (AUC) of MPA was established. The established model was verified using the data from the validation group. The model performance was compared with that obtained from multiple linear regression (MLR) and maximum a posteriori (MAP) methods. The MPA AUC 0-12 of the training and validation groups was 54.28 ± 18.42 and 41.25 ± 14.53 µg·ml -1 ·h, respectively. MPA plasma concentration after 2 (C 2 ), 6 (C 6 ), and 8 (C 8 ) hours of administration was the most significant factor for MPA AUC 0-12 . The predictive performance of AUC 0-12 estimated using the CALS model of the validation group was better than the MLR and MAP methods in previous studies (r 2 = 0.71, mean prediction error = 4.79, and mean absolute prediction error = 14.60). The CALS model established in this study was reliable for predicting MPA AUC 0-12 in Chinese renal transplant patients administered mycophenolate mofetil and enteric-coated mycophenolic acid sodium and may have good generalization ability for application in other data sets.

The pharmacokinetics of tacrolimus in peripheral blood mononuclear cells and limited sampling strategy for estimation of exposure in renal transplant recipients.

Intracellular exposure of tacrolimus (TAC) may be a better marker of therapeutic effect than whole blood exposure. We aimed to evaluate the influence of genetic polymorphism on the pharmacokinetics of TAC in peripheral blood mononuclear cells (PBMCs) and develop limited sampling strategy (LSS) models to estimate the area under the curve (AUC0-12h) in the PBMC of Chinese renal transplant patients. Ten blood samples of each of the 23 renal transplant patients were collected 0-12h after 14 (10-18) days of TAC administration. PBMCs were separated and quantified. The TAC level in PBMCs was determined, and pharmacokinetic parameters were estimated by noncompartmental study. The AUC0-12h of TAC in whole blood was estimated by Bayesian approach based on a population pharmacokinetic model established in 65 renal transplant patients. The influence of CYP3A5 and ABCB1 genotypes on exposure was estimated. By applying multiple stepwise linear regression analysis, LSS equations for TAC AUC0-12h in the PMBC of renal transplant patients were established, and the bias and precision of various equations were identified and compared. We found a modest correlation between TAC exposure in whole blood and PBMC (r2 = 0.5260). Patients with the CYP3A5 6986GG genotype had a higher AUC0-12h in PBMCs than those with the 6986 AA or GA genotype (P = 0.026). Conversely, patients with the ABCB1 3435TT genotype had a higher AUC0-12h in PBMC than those with the 3435 CC and CT genotypes (P = 0.046). LSS models with 1-4 blood time points were established (r2 = 0.570-0.989). The best model for predicting TAC AUC0-12h was C2-C4-C6-C10 (r2 = 0.989). The model with C0.5-C6 (r2 = 0.849) can be used for outpatients who need monitoring to be performed in a short period. The CYP3A5 and ABCB1 genotypes impact TAC exposure in PBMCs, which may further alter the effects of TAC. The LSS model consisting of 2-4 time points is an effective approach for estimating full TAC AUC0-12h in Chinese renal transplant patients. This approach may provide convenience and the possibility for clinical monitoring of TAC intracellular exposure.

Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology.

ObjectivesPredicting adherence to immunosuppressive medication (IM) is important to improve and design future prospective, personalized interventions in Chinese renal transplant patients (RTPs).MethodsA retrospective, multicenter, cross-sectional study was performed in 1,191 RTPs from October 2020 to February 2021 in China. The BAASIS was used as the standard to determine the adherence of the patients. Variables of the combined theory, including the general data, the HBM, the TPB, the BMQ, the PSSS and the GSES, were used to build the models. The machine learning (ML) models included LR, RF, MLP, SVM, and XG Boost. The SHAP method was used to evaluate the contribution of predictors to predicting the risk of IM non-adherence in RTPs.ResultsThe IM non-adherence rate in the derivation cohort was 38.5%. Ten predictors were screened to build the model based on the database. The SVM model performed better among the five models, with sensitivity of 0.59, specificity of 0.73, and average AUC of 0.75. The SHAP analysis showed that age, marital status, HBM-perceived barriers, use pill box after transplantation, and PSSS-family support were the most important predictors in the prediction model. All of the models had good performance validated by external data.ConclusionsThe IM non-adherence rate of RTPs was high, and it is important to improve IM adherence. The model developed by ML technology could identify high-risk patients and provide a basis for the development of relevant improvement measures.

Trans-eQTLs of the CYP3A4 and CYP3A5 associated with tacrolimus trough blood concentration in Chinese renal transplant patients.

This study aimed to systematically investigate trans-eQTLs of CYP3A4 and CYP3A5 affecting tacrolimus trough blood concentrations in Chinese renal transplant patients. We used Plink v1.90 to perform data quality control and linear regression analysis on GTEx v8 data. SNPs with p-value <0.05 were selected and the GTEx eQTL Calculator was used to further prioritize the eQTLs of CYP3A4 and CYP3A5 in the liver and small intestine. The eQTLs with a p-value <5×10-5 and MAF≥0.05 in the CHB population were selected as candidate eQTLs. The genotyping of candidate eQTLs was performed using high-resolution melting (HRM) assays and Sanger DNA sequencing. This study included 845 Chinese renal transplant patients who received tacrolimus as an immunosuppressive agent. Association between 103 candidate eQTLs and log-transformed tacrolimus concentration/dose ratio (log (C0/D)) in this cohort was conducted using the SNPassoc package of R software. In the end, a total of 75,632 liver eQTLs of CYP3A4, 69,558 liver eQTLs of CYP3A5, 48,596 small intestine eQTLs of CYP3A4 and 28,616 small intestine eQTLs of CYP3A5 were obtained using the GTEx v8 eQTL Calculator. Of the 103 candidate eQTLs, rs75727207, rs181294422 and rs28522676 were significantly associated with tacrolimus log(C0/D) in different genetic models. We discovered a substantial number of novel eQTLs of CYP3A4 and CYP3A5 in liver and small intestine, also found that rs75727207, rs181294422 and rs28522676 may affect tacrolimus trough blood concentrations in Chinese renal transplant patients.

Identification of Immunosuppressive Medication Nonadherence Factors Through a Combined Theory Model in Renal Transplant Recipients: 6-12.

Background: Immunosuppressive medication (IM) nonadherence is associated with poor transplant outcomes. Therefore, it is of great importance to identify predictive factors with IM nonadherence. We aimed to improve the predicted capacity of the theory of planned behavior (TPB) by adding health belief model’s (HBM) variables in renal transplant patients (RTPs). Methods: This cross-sectional study distributed questionnaires to patients who had undergone renal transplant and follow-up regularly in the transplant center of Third Xiangya Hospital in China. The self-developed questionnaire collected data in three aspects: general data questionnaire, TPB, HBM-specific questionnaire, and Basel Assessment of Adherence to Immunosuppressive Medications scale. Results: A total of 1,357 of 1,480 patients completed the survey, with a participation rate of 91.69% and IM nonadherence rate of 33.53%. The marital status, household income, preoperative drinking history, the time after transplantation, and religion showed independent predictive factors with IM nonadherence (p < 0.05). Strikingly, adding HBM variables to the TPB theory model significantly increased its prediction ability to IM nonadherence (52%). Also, HBM manifested the highest coefficient of effect (−0.620). Particularly, perceived barriers and perceived seriousness, the variables of the HBM model, played a vital influence on medication nonadherence (−0.284 and 0.256). Conclusion: Our study here reveals the first investigation of the combined effects of the TPB and HBM model on IM nonadherence in Chinese RTPs, which could significantly improve the predictive ability of any single model. Meanwhile, future interventions should be conducted to both increase perceived seriousness and reduce perceived barriers for taking IM, which will effectively decrease IM nonadherence rates and improve transplant outcomes.

FKBP-CaN-NFAT pathway polymorphisms selected by in silico biological function prediction are associated with tacrolimus efficacy in renal transplant patients

AimThe aim of the present study was to investigate the potential effects of genetic variations in the FKBP-CaN-NFAT pathway on clinical events associated with tacrolimus efficacy in Chinese renal transplant patients. MethodsOne hundred and forty Chinese renal transplant patients of Han ethnicity with over five years of follow-up were enrolled in our study. A pool of single nucleotide polymorphisms (SNPs) (1284 SNPs) was extracted from the Ensembl database according to chromosomal regions of the candidate genes. Next, 109 SNPs were screened out from this pool using multiple bioinformatics tools for subsequent genotyping using the MALDI-TOF-MS method. The associations of these candidate SNPs with acute rejection, nephrotoxicity, pneumonia and post-transplant estimated glomerular filtration rate (eGFR) were explored. ResultsFourty-four SNPs were found to be associated with tacrolimus-related clinical drug response. Specifically, eight SNPs were associated with the incidence of biopsy-proven acute rejection, four SNPs were associated with the rate of nephrotoxicity, 16 SNPs were correlated with the onset of pneumonia, and 26 SNPs were found to significantly influence post-transplant eGFR trend. An elaborate scoring system was implemented to prioritize the validation of these potentially causal SNPs. In particular, NFATC2 rs150348438 (G>T) performed well during integrative scoring (Ptotal=23.8) and was significantly associated with the occurrence of pneumonia (P = 0.0035, HR=0.91, 95% CI=0.85–0.97) and post-transplant eGFR levels (P = 0.000003). ConclusionsNFATC2 rs150348438, rs6013219, rs1052653, and NFATC1 rs754093, ranking high in scoring, significantly affected the post-transplant eGFR and the incidence of pneumonia, acute rejection, and nephrotoxicity in renal transplant patients taking tacrolimus. Those SNPs may alter the expression and regulation of FKBP-CaN-NFAT pathway by influencing transcription regulation, mature mRNA degradation and RNA splicing, or protein coding. Critical SNPs of high ranking may serve as PD-associated pharmacogenetic biomarkers indicating individual response variability of TAC, and thus aid the clinical management of renal transplant patients.

Establishment of a Liquid Chromatography-Tandem Mass Spectrometry Method for the Determination of Immunosuppressant Levels in the Peripheral Blood Mononuclear Cells of Chinese Renal Transplant Recipients.

Monitoring immunosuppressant levels, such as mycophenolic acid (MPA), cyclosporin A (CsA), and tacrolimus (TAC), in peripheral blood mononuclear cells (PBMCs) could be useful in organ transplant patients administered individualized therapy. The authors developed a liquid chromatography-tandem mass spectrometry assay technique to simultaneously determine immunosuppressant levels in PBMCs and assess their pharmacokinetics in Chinese renal allograft recipients. PBMCs were isolated from the whole blood of 27 Chinese renal transplant patients using Ficoll-Paque Plus solution, and cell number was determined; acetonitrile treatment for protein precipitation, and gradient elution was performed on an Agilent Eclipse XDB-C18 column (3.5 μm, 2.1 × 100 mm) with mobile phase: water and methanol (containing 2 mM ammonium formate); flow rate: 0.3 mL·min. The calibration curves of MPA, CsA, and TAC had a linear range (ng·mL): 0.098-39.2 (r = 0.9987), 0.255-102 (r = 0.9969), and 0.028-11.2 (r = 0.9993), respectively. The extraction effects, matrix effects, and mean relative recovery of these immunosuppressants were 70.4%-93.2%, 72.7%-96.5%, and 90.1%-112.4%, respectively. The within-day and between-day coefficients of variation were <15%. The AUC0-12 of MPA in PBMCs correlated well with those in plasma. The level of MPA, CsA, and TAC in PBMCs might be more stable during dosing interval. The derived liquid chromatography-tandem mass spectrometry assay is suitable for simultaneously monitoring different immunosuppressants in PBMCs. Pharmacokinetic of MPA, CsA, and TAC displayed considerable interindividual variability. Intracellular monitoring of immunosuppressants may facilitate individualized therapy for renal allograft recipients.

PXR haplotype clusters will affect the pharmacokinetics of ciclosporin in Chinese renal transplant recipients.

PXR was reported to be the key nuclear receptor regulating the expression of metabolizing enzymes and transporters. The aim of this study was to evaluate the influence of PXR haplotype clusters on ciclosporin concentration in Chinese renal transplant recipients during the early stage after transplantation. A total of 98 recipients receiving ciclosporin were genotyped by PCR-RFLP, and the ciclosporin concentration was determined by EMIT. The frequency of IVS2+55A>G, IVS2+78A>G, IVS6-17C>T, 1792A>G, 1944T>C and 2654T>C variant alleles was 0.343, 0.332, 0.378, 0.515, 0.520 and 0.393, which fitted Hardy-Weinberg equilibrium. Only the IVS6-17C>T and 2654T>C were significantly associated with the ciclosporin C2 /D during the end of the first month. The mean ciclosporin C2 /D level of the PXR*1B haplotype clusters was 1.3-fold and 1.2-fold higher compared with the *1A and *1C. No significant difference was observed in CsA C2 /D between the PXR*1A and PXR*1C. We found no difference in C0 /D among the six genotypes or the three haplotype clusters. The PXR*1B in Chinese renal transplant patients was associated with ciclosporin concentration. Genetic polymorphisms and specific haplotype clusters in PXR could have significant contributory roles in affecting interethnic variations in drug disposition in the Chinese population.

A novel random forest integrative approach based on endogenous CYP3A4 phenotype for predicting tacrolimus concentrations and dosages in Chinese renal transplant patients

Personalized treatment with tacrolimus has remained a challenge. The present study aimed to evaluate the potential of an integrative approach to predict individual tacrolimus concentrations and dosages based on endogenous CYP3A4 phenotype, CYP3A5 genotype and clinical variables. A random forest (RF) algorithm which incorporated an endogenous CYP3A4 phenotype (assessed by urinary ratio of 6β-hydroxycortisol and 6β-hydroxycortisone to cortisol and cortisone), CYP3A5*3 genotype and other clinical determinants of tacrolimus disposition was performed in 182 medically stable renal transplant recipients. The results suggested that endogenous CYP3A4 phenotype was the most important determinant of tacrolimus concentrations and dose requirements. RF models provided high goodness of fit (R2 ) with .92 and .95 for the prediction of tacrolimus trough concentrations and dosages, respectively, as well as high predictability (Q2 ) with 0.63 and 0.70, respectively. Significant correlations existed between experimental and predictive data. In summary, endogenous CYP3A4 phenotype is a critical biomarker for the determination of tacrolimus disposition. This predictive RF approach based on CYP3A4 biomarker with the combination of CYP3A5*3 genotype and other clinical variables can be used for predicting tacrolimus concentrations and dosages, which may serve as a useful tool in individualized tacrolimus dosing.

FKBP1A rs6041749 polymorphism is associated with allograft function in renal transplant patients.

To investigate the potential impact of single-nucleotide polymorphisms (SNPs) in the FK506-binding protein (FKBP)-calcineurin (CaN)-nuclear factor of activated T cells (NFAT) signaling pathway on the efficacy and safety of tacrolimus (TAC) in Chinese renal transplant patients. Seventy-seven tag SNPs were detected in 146 patients who were on TAC-based maintenance immunosuppression and who followed up for at least 2years. The relationships of these polymorphisms with clinical outcomes such as acute rejection, acute nephrotoxicity, pneumonia, and estimated glomerular filtration rate (eGFR) were explored. For the FKBP1A rs6041749 polymorphism, which has a significant association with renal function over time, a preliminary functional analysis was performed using a dual-luciferase reporter gene system. The patients with FKBP1A rs6041749 TT genotype had a more stable eGFR level than CC and CT carriers (P = 2.08 × 10-8) during the 2years following transplantation. Dual-luciferase reporter assay results showed that the rs6041749 C variant could enhance the relative luciferase activity compared with the T variant, which indicated that the rs6041749 C allele may increase the FKBP1A gene transcription. In addition, we did not find any association between these genetic variants and the risk of acute rejection, acute nephrotoxicity, and pneumonia in renal transplant patients receiving TAC-based immunosuppression. FKBP1A rs6041749 C allele carriers are at higher risk for eGFR deterioration. The variant might serve as a biomarker to predict allograft function in renal transplant patients.

Pharmacokinetics of Mycophenolate Mofetil and Development of Limited Sampling Strategy in Early Kidney Transplant Recipients.

The mycophenolate mofetil (MMF) dose management for optimization of post-transplant treatment especially the early postoperative phase has been well recognized. MMF is a pro-drug of mycophenolic acid (MPA) and is widely used in Chinese renal transplant patients. Until now, the pharmacokinetic (PK) characteristics and model for the area under the concentration–time curve for the 12-h (h) of exposure (AUC0-12 h) of MPA (MPA-AUC0-12 h) estimation were lacking for the new formulation of MMF dispersible tablet in renal transplant patients. The aims of the study were to investigate the PK characteristics of MMF dispersible tablet by detecting the active metabolite of MPA and to establish an accuracy and precision equation for calculating MPA-AUC0-12 h by limited sampling strategy (LSS) in Chinese kidney transplant patients. A total of 60 postoperative kidney transplant recipients were given a multiple-dose of MMF dispersible tablet twice daily combination with tacrolimus (Tac) and steroids. On the 5th day post-transplantation, blood specimens were collected before drug administration and up to 12 h after MMF dispersible tablet administration. Non-compartmental PK analysis was used to determine the data obtained from individual patients. Multivariate stepwise regression analysis was used to develop models for predicting MPA-AUC0-12 h. The 3- and 4-point sampling models using 2 h, 4 h, 8 h and 1 h, 2 h, 4 h and 8 h, respectively, allowed accurate estimation of MPA-AUC0-12 h. PK parameters of MMF dispersible tablet were obtained and the 4-point LSS is the best model for accurate and precise estimation of MPA-AUC0-12 h.

Optimization and application of an HPLC method for quantification of inosine-5′-monophosphate dehydrogenase activity as a pharmacodynamic biomarker of mycophenolic acid in Chinese renal transplant patients

BackgroundThe immunosuppressive agent mycophenolic acid (MPA) is a non-competitive, reversible inhibitor of inosine-5′-monophosphate dehydrogenase (IMPDH). Thus, IMPDH activity can serve as a potential pharmacodynamic biomarker to optimize dosing of MPA. MethodsPeripheral blood mononuclear cells were isolated from 2 mL blood samples and an in vitro enzymatic reaction was subsequently performed for 120 min. To determine IMPDH activity in Chinese healthy volunteers and renal transplant patients, a high performance liquid chromatography assay was established and validated by subtracting adenosine monophosphate (AMP) from blank samples for eliminating exogenous AMP interference. ResultsThe accuracy of our method ranged between −0.8% and 12.5%, and the precision ranged between 0.7% and 6.3%. The mean value of IMPDH activity across 11 healthy volunteers was 46.60 ± 14.28 μmol/s/mol AMP. A negative relationship between MPA concentration and IMPDH activity was observed in four renal transplant patients treated with MPA 13 days post-transplantation, while the inhibitory rate of IMPDH activity ranged from 24% to 42%. ConclusionA bioanalytical assay for IMPDH quantification was optimized and evaluated. The differences in the pharmacodynamics of MPA between Asians and Caucasians may provide some evidence for dosing differences among ethnicities.

Population pharmacokinetics and Bayesian estimation of mycophenolic acid concentrations in Chinese adult renal transplant recipients.

Mycophenolate mofetil (MMF) is an important immunosuppressant used in renal transplantation, and mycophenolic acid (MPA) is the active component released from the ester prodrug MMF. The objective of this study was to investigate the population pharmacokinetics of mycophenolic acid (MPA) following oral administration of MMF in Chinese adult renal transplant recipients and to identify factors that explain MPA pharmacokinetic variability. Pharmacokinetic data for MPA and covariate information were retrospectively collected from 118 patients (79 patients were assigned to the group for building the population pharmacokinetic model, while 39 patients were assigned to the validation group). Population pharmacokinetic data analysis was performed using the NONMEM software. The pharmacokinetics of MPA was best described by a two-compartment model with a first-order absorption rate with no lag time. Body weight and serum creatinine level were positively correlated with apparent clearance (CL/F). The polymorphism in uridine diphosphate glucuronosyltransferase gene, UGT2B7, significantly explained the interindividual variability in the initial volume of distribution (V1/F). The estimated population parameters (and interindividual variability) were CL/F 18.3 L/h (34.2%) and V1/F 27.9 L (21.3%). The interoccasion variability was 13.7%. These population pharmacokinetic data have significant clinical value for the individualization of MMF therapy in Chinese adult renal transplant patients.

Tacrolimus population pharmacokinetics according to CYP3A5 genotype and clinical factors in Chinese adult kidney transplant recipients.

Tacrolimus is characterized by a narrow therapeutic index and a considerable inter- and intraindividual pharmacokinetic variability. The aim of our study was to develop a population pharmacokinetic model of tacrolimus in adult kidney transplant of Chinese patients, identify factors especially CYP3A5*3 genetic polymorphism that explain variability, and determine dosage regimens. Pharmacogenomic data obtained from 83 Chinese kidney transplant patients treated with tacrolimus were determined using polymerase chain reaction-restriction fragment length polymorphism analysis. Trough blood concentration data were collected from all of the patients during the 12months of post-transplantation days and were analysed using the nonlinear mixed-effects modelling program. After building the final model, 1000 bootstraps were performed to validate the final model. A one-compartment model with first-order absorption and elimination adequately described the pharmacokinetics of tacrolimus. In this study, we observed that POD, HCT and CYP3A5*3 genotype were determinant factors in CL/F and POD related with V/F of tacrolimus significantly. The final model with the clearance covariates was presented as: Cl/F=THETA(1)*EXP(THETA(4)*(83/POD))*(39.1/HCT)**THETA(5)*EXP(THETA(6)*CYP3A5), and the final model with the volume covariates was presented as: Vd/F=THETA(2)*POD**THETA(3). The Ka was fixed to 4.5h-1 . The HCT, CYP3A5*3 genetic polymorphism and POD contributed to the interindividual variability of oral tacrolimus in Chinese adult renal transplant patients.

Population pharmacokinetic characteristics of sirolimus in healthy Chinese subjects and renal transplant patients

To identify the factors affecting the pharmacokinetics (PKs) of sirolimus in healthy Chinese subjects and renal transplant patients. A population PK model of sirolimus was constructed using dense data from 22 healthy volunteers and sparse data from 105 renal transplant patients. The data were well described by a two-compartment model with first-order absorption. The estimates of absorption rate constant (Ka), clearance (CL/F), and central volume of distribution (V2/F) were 0.24 h(-1), 8.81 L/h, and 676 L, respectively. The CL/F in renal transplant patients was 45.5% lower than that in healthy subjects. Based on the final model, CL/F decreased significantly with increasing cyclosporine (CsA) daily dose and age. A decrease of 7.3% in CL/F for every 100-mg increase in the CsA daily dose and a decrease of 34.2% in CL/F for every 20-year increase in age was observed. Moreover, V2/F increased significantly with increasing serum creatinine in our study. However, the range of serum creatinine concentration and the interindividual variability for V2/F are large. This is the first study to characterize the population PKs of sirolimus using a two-compartment model in healthy Chinese subjects and renal transplant patients. A decrease of 7.3% in the sirolimus CL/F for every 100-mg increase in the CsA daily dose and a decrease of 34.2% in the sirolimus CL/F for every 20-year increase in age was observed, which allowed us to better optimize sirolimus dosing regimens in Chinese renal transplant patients.

Significant impacts of CYP3A4*1G and CYP3A5*3 genetic polymorphisms on the pharmacokinetics of diltiazem and its main metabolites in Chinese adult kidney transplant patients

The calcium channel blocker diltiazem has been used widely as a cyclosporine (CsA)/tacrolimus-sparing agent. However, considerable interpatient variability in diltiazem's CsA/tacrolimus-sparing effect has been observed in many clinical studies. This study was carried out to investigate the impacts of the CYP3A4*1G and CYP3A5*3 genetic polymorphisms on the trough concentration/dose ratios and pharmacokinetics of diltiazem and its main metabolites in Chinese adult renal transplant patients. Two hundred and twenty-five Chinese renal transplant patients were genotyped for CYP3A4*1G and CYP3A5*3. The predose and post-dose plasma concentrations of diltiazem and its main metabolisms were determined by HPLC. The relationships between the genotypes and pharmacokinetics were investigated. The dose-adjusted concentrations and pharmacokinetics of diltiazem and its main metabolites were significantly affected by CYP3A4 *1G and CYP3A5*3 alleles. Patients with a CYP3A4*1/*1 genotype were found to have a higher dose-adjusted trough concentration and AUC of diltiazem and its main metabolites compared with those with CYP3A4*1G*1G(P<0·05). The dose-adjusted trough levels and AUC of diltiazem and its main metabolites were significantly lower in CYP3A5*1*1 carriers than in CYP3A5*3 carriers (P<0·05). The CYP3A4*1G and CYP3A5*3 genetic polymorphisms are closely related to the trough concentration/dose ratios and pharmacokinetics of diltiazem and its main metabolites in Chinese adult renal transplant patients.

Associations of UDP-glucuronosyltransferases polymorphisms with mycophenolate mofetil pharmacokinetics in Chinese renal transplant patients.

To evaluate the effects of UDP-glucuronosyltransferases (UGTs) polymorphisms on the pharmacokinetics of the immunosuppressant mycophenolate mofetil (MMF) in Chinese renal transplant recipients. A total of 127 renal transplant patients receiving MMF were genotyped for polymorphisms in UGT1A9 -1818T>C, I399C>T, -118T9/10, -440C>T, -331T>C, UGT2B7 IVS1+985A>G, 211G>T, -900A>G, UGT1A8 518C>G and UGT1A7 622T>C. The plasma concentrations of the MMF active moiety mycophenolic acid (MPA) and main metabolite 7-O-MPA-glucuronide (MPAG) were analyzed using HPLC. Univariate and multivariate analyses were used to assess the effects of UGT-related gene polymorphisms on MPA pharmacokinetics. The dose-adjusted MPA AUC0-12 h of the patients with the UGT2B7 IVS1+985AG genotype was 48% higher than that of the patients with the IVS1+985AA genotype, which could explain 11.2% of the inter-individual variation in MPA pharmacokinetics. The dose-adjusted MPAG AUC0-12 h of the patients with the UGT1A7 622CC and UGT1A9 -440CT/-331TC genotypes, respectively, was significantly higher than that of the patients with 622T homozygotes and -440C/-331T homozygotes. Furthermore, the genotypes UGT1A9 -1818T>C and UGT1A8 518C>G were associated with a low dose-adjusted MPAG AUC0-12 h. The UGT2B7 11+985A>G genotype is associated with the pharmacokinetics of MPA in Chinese renal transplant patients, which demonstrates the usefulness of this SNP for individualizing MMF dosing.

A Prospective Analysis of the Effects of Enteric-Coated Mycophenolate Sodium and Mycophenolate Mofetil Co-medicated With a Proton Pump Inhibitor in Kidney Transplant Recipients at a Single Institute in China

BackgroundEnteric-coated mycophenolate sodium (EC-MPS) and mycophenolate mofetil (MMF), two prodrugs of mycophenolic acid (MPA), have been used in immunosuppressive regimens. After being taken orally, both of them transform to MPA to achieve immune suppression effects; however, the main site of absorption and metabolism of EC-MPS is different from that of MMF in vivo. Therefore, combined application with related drugs may result in different MPA levels and have different clinical effects in kidney transplant recipients. ObjectiveTo evaluate the efficacy of EC-MPS compared with MMF in Chinese renal transplant patients comedicated with a proton pump inhibitor (PPI). MethodsOur subjects were 88 patients who received renal transplants at the 309th Hospital of the Chinese PLA from May 2010 to April 2013. These were made up of two groups including 27 patients with EC-MPS and 61 with MMF. The immunosuppression regimen was EC-MPS/MMF + cyclosporine/tacrolimus + steroid hormone, comedicated with a PPI (omeprazole). The patients' levels of exposure of MPA within 1 week after operation were monitored. Clinical indicators such as incidence of delayed graft function and acute rejection, the rate of change of serum creatinine hemoglobin, leucocytes, and neutrophils, as well as clinical adverse drug reactions and drug conversion were analyzed retrospectively. Results and ConclusionThe kidney function of patients recovered to normal in both the EC-MPS and MMF groups. The mean concentration to peak (Cmax), the mean half-life (t1/2), and the area under the concentration–time curve (AUC0–12) of MPA in the EC-MPS group were higher than those in the MMF group (P < .05). This indicated that the pharmacokinetic parameters for MPA when EC-MPS is co-administered with a PPI in kidney transplant patients in China is better than for comedication with MMF and a PPI. The MMF group had a higher incidence of drug withdrawal because of higher infection rates, leucocyte decrease, and more gastrointestinal side effects than the EC-MPS group (P < .05). No significant differences in the clinical effect on kidney transplant recipients were observed in the limited observation time.

Lower dosing of enteric-coated mycophenolate sodium (Myfortic) can achieve target mycophenolic acid exposure rapidly in most Chinese renal transplant patients: a pilot study

There are few pharmacokinetic data for enteric-coated mycophenolate sodium (EC-MPS) in Chinese kidney transplant recipients. Previously, we demonstrated that patients with 540mg EC-MPS reached target exposure on day 4 after transplantation. The aim of this study was further to confirm that mycophenolic acid (MPA) delivery with a daily total dose 1080mg EC-MPS is adequate during the early-phase posttransplantation and preliminarily assess the pharmacokinetics after a single dose and multiple doses of EC-MPS in Chinese live-donor kidney transplant recipients. Twelve patients (eight men and four women, mean age 41.3±6.78years) treated with EC-MPS, cyclosporine and corticosteroids were included in this study. Patients received a single oral dose of EC-MPS 540mg, then 540mg twice daily. MPA concentrations were measured by high-performance liquid chromatography. Twelve-hour pharmacokinetic profiles were obtained after the single oral dose and multiple doses on day 4 postoperation. The pharmacokinetic parameters were compared between a single dose and multiple doses. By using multiple stepwise regression analysis, we obtained two predictive equations of MPA systemic exposure. Bland-Altman analysis was developed to test agreement between the observed MPA area under the concentration-time curve (AUC) and the predicted MPA AUC. The mean (range) MPA AUC was 42±14.67 (29.29-75.95) mg/lh after the first dose, and 44.72±14.57 (32.06-80.79) mg/lh on day 4 after operation. MPA exposure provided by a single dose and multiple doses were similar (p>0.05). The best equations obtained were the following: 20.003+1.181C6h +7.22C8h (r=0.936) and 17.023+3.11C1h +1.245+4.988C8h (r=0.964). These equation models showed an optimal agreement between the observed MPA AUC and the predicted MPA AUC. Lower dosing of EC-MPS, compared with the standard dose (720mg twice daily), may provide enough MPA exposure for Chinese live-donor kidney transplant patients on day 4. Given that the MPA exposure by AUC correlates with the incidence of acute rejection episodes and transplant vasculopathy, the present findings may have clinical implications, and the optimum dose range of EC-MPS for patients in all ranges of body weight should also be determined.