A prospective validation of a population pharmacokinetic model of tacrolimus in Tunisian kidney transplant patients.

BACKGROUND: A prospective validation of pharmacokinetic population (Pk pop) of Tacrolimus (Tac) for dose adjustment in kidney transplant patients was assessed in only one study. The present study was aimed at prospectively evaluating the performance of our previously developed Tac- Pk pop model in predicting trough concentration (C0) in Tunisian kidney transplant patients. PATIENTS AND METHOD: It was a prospective study including patients who had undergone kidney transplantation at Monastir-Nephrology Department. The population study was divided into adherence and control groups. RESULTS: A total of 198 C0 (30 patients) were analyzed. The proportion of C0 within TR was 63.9% and 38.0% in the adhesion and control group, respectively. The percentage of C0 within TR was significantly higher in the adherence group during both early and late post-transplant period (p = 0.03 and 0.04, respectively). This percentage was found to be significantly higher during the third C0 monitoring and thereafter in the adherence group compared with the control group (65.8% vs 41%, respectively). CONCLUSION: Tac dose proposal based on this model could be helpful to improve clinical outcomes in our population by reducing the risk of acute rejection and this immunosuppressant's toxic side effects.

Clinical and genetic influencing factors on clozapine pharmacokinetics in Tunisian schizophrenic patients.

Clozapine (Clz) is an atypical antipsychotic, which its pharmacokinetics can be influenced by several factors. The CYP1A2 and CYP2C19, major enzymes implicated in Clz metabolism, present an interethnic variation on their activity caused by single nucleotide polymorphisms (SNPs). The present study investigated the influence of genetic and nongenetic factors on Clz pharmacokinetics in a southern Mediterranean population. We included adult Tunisian schizophrenic patients having received Clz and undergone a therapeutic drug monitoring (TDM) of Clz by morning C0 monitoring. The genomic DNA was extracted using a salting-out procedure. CYP1A2*1F (rs762551;-163C>A), CYP1A2*1C (rs2069514;-3860 G>A) and CYP 2C19*2 (rs4244285; 681G>A) was analyzed using PCR-RFLP. Fifty-one patients were enrolled in the study. The mutant allele (CYP1A2*1F) was the most frequently detected (58.8%). For CYP1A2*1F, Clz dose-normalized (C0/D ratio) was as high as 1.28 ± 0.37 in CC versus 0.67 ± 0.32 ng mL-1 per mg day-1 in AA group (p < 0.001). The influence of genetic (CYP1A2*1F, CYP1A2*1C and CYP2C19*2) and nongenetic parameters (age, weight, gender, tobacco, coffee, and alcohol consumption) on the variation of the Clz C0/D ratio was investigated. Only the CYP1A2*1 F polymorphism correlates significantly with the Clz C0/D variation and could explain 24% of its variability. Our data support a critical role of the CYP1A2 -163C>A on the variation of Clz exposure in Tunisian schizophrenic patients. Considering its narrow therapeutic range, CYP1A2 genotyping combined with TDM of Clz may improve efficacy and safety of this drug. Further studies are needed to investigate this issue.

Development of a population pharmacokinetic model and Bayesian estimators for isoniazid in Tunisian tuberculosis patients.

This study aimed to develop a population pharmacokinetic model using full pharmacokinetic (PK) profiles of isoniazid (INH) taking into account demographic and genetic covariates and to develop Bayesian estimators for predicting INH area under the curve (AUC) in Tunisian tuberculosis patients. The INH concentrations in the building data set were fitted using a one- to three-compartment model. The impact of the different covariates was assessed on the PK parameters of the best model. The best limited sampling strategy (LSS) for estimating the INH AUC was selected by comparing the predicted values to an independent data set. INH PK was best described using a three-compartment model with lag-time absorption. The different studied covariates did not have any impact on the PK parameters of the building model. The Bayesian estimation using one-point concentrations gave the lowest values of prediction errors for the C3 LSS model. This model could be sufficient in routine activity for INH monitoring in this population.

Increased Sperm DNA Fragmentation in Infertile Men with Varicocele: Relationship with Apoptosis, Seminal Oxidative Stress, and Spermatic Parameters.

This study intends to determine the extent of nuclear sperm injury in patients with varicocele and to investigate its relationship with apoptosis and oxidative stress (OS). Ejaculated sperm samples from 51 patients diagnosed with varicocele and 29 fertile men were examined. According to the guidelines, the patient's sperm samples were classified into varicocele with normal semen parameters (n = 11) and varicocele with abnormal semen parameters (n = 40). Sperm DNA fragmentation was assessed using terminal deoxynucleotidyl transferase dUTP nick end labeling assay. The proportion of both viable and dead spermatozoa with externalized phosphatidylserine (PS) was detected by the bivariate annexin V/6-CFDA staining method. Seminal malondialdehyde (MDA) amounts and antioxidant enzymes activities of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) were measured spectrophotometrically. Sperm DNA fragmentation, viable spermatozoa with externalized PS, and MDA levels were significantly higher in studied subgroups of patients with varicocele, either with normal or with abnormal semen parameters than controls. The seminal antioxidant enzymes activities were significantly reduced in both subgroups of patients with varicocele compared to the controls. The percentage of spermatozoa with fragmented DNA was positively correlated to the MDA level as well as the proportion of viable spermatozoa with externalized PS. However, the decreased seminal antioxidant status was negatively correlated with the increased proportion of sperm DNA fragmentation and apoptotic spermatozoa. Impaired seminal antioxidant profile and increased seminal level of lipid peroxidation may be involved in the pathophysiological mechanisms of cell death-mediated DNA breaks in patients with varicocele.

Influence of CYP3A polymorphisms on tacrolimus pharmacokinetics in kidney transplant recipients.

Tacrolimus is characterized by a highly variable pharmacokinetics (PK) and a small therapeutic window. It is metabolized specifically by the CYP3A isoenzymes. This study aimed to determine, in kidney transplant patients, the influence of different genotypic clusters involving these SNPs CYP3A4*1B, CYP3A4*22, and CYP3A5*3 on Tacrolimus bioavailability during the first (PTP1) and the second (PTP2) posttransplant phase (PT). We included kidney transplant patients who received Tacrolimus and underwent drug monitoring by C0 monitoring. CYP3A4 and CYP3A5 genotyping were performed using PCR-RFLP. We classified the patients into four groups: Slow, Intermediate, rapid, and ultra-rapid metabolizers. We included 80 patients. The Tacrolimus dose-normalized C0 (C0/D ratio) was significantly decreased in intermediate, rapid, and ultra-rapid comparing with slow metabolisers. During PTP1 only CYP3A5*3 and CYP3A4*22 polymorphisms correlate significantly with C0/D ratio. Regardless of the PT phase and during the late one, only the CYP3A4 polymorphisms correlate significantly with the C0/D ratio. We identified that these SNPs are all associated independently with Tacrolimus exposure in different PT phases. Moreover, we are the first to define a genotypic cluster including the three CYP3A SNPs.

Dosing algorithm for Tacrolimus in Tunisian Kidney transplant patients: Effect of CYP 3A4*1B and CYP3A4*22 polymorphisms.

Prescribing appropriate Tacrolimus (Tac) dosing is still a challenge for clinicians due to the interindividual variability in dose requirement and the narrow therapeutic index. Our objective is to identify potential factors that affects Tac exposure in Tunisian Kidney patients and to develop and validate a Tac dose requirement algorithm including genetic and nongenetic variables. A cross-sectional study was performed. To assess the implication of each covariate on Tac exposure, we classified the patients according to quartiles of exposure index (trough Tac concentration/Dose: C0/D). The total population was divided into the building (75%) and validation (25%) groups. Multiple linear regression was applied to determine the algorithm of Tac dose including the patient's genetic and nongenetic variables. A total of 685 samples issued from 102 kidney transplant patients were included in the study. The post-transplant time (PT), ATG therapy, CYP3A4, and CYP3A5 polymorphisms were significantly associated with trough Tac C0/D. However, the age, sex, body weight, and induction by basiliximab did not show any effect on C0/D. Predicted Tac dose was calculated as follows: Tac Dose = - 2,725 - (10-3 * PT day) + (0,09*weight) + (1,40*ATG) + (2,09* CYP3A4*1B allele) + (0,88*gender) + (0,05*Age) + (1,10*CYP3A4*22 allele) + (2,30* target ranges). Our study designed the first algorithm that predicts the Tac dose requirement in Tunisian Kidney transplant patients including genetic and non-genetic factors. The application of such an algorithm should reduce the number of patients with Tac trough concentration outside the target range and could minimize the time to reach a therapeutic C0.

Effect of CYP3A4*22 and CYP3A4*1B but not CYP3A5*3 polymorphisms on tacrolimus pharmacokinetic model in Tunisian kidney transplant.

The pharmacokinetics of Tacrolimus is characterized by a high interindividual variability that is mainly explained by pharmacogenetics biomarkers. The aims were to develop a population pharmacokinetic model (Pk pop) taking into account post-transplant phases (PTP), CYP3A4*1B, CYP3A4*22 and CYP3A5*3 polymorphisms on Tac pharmacokinetics in adult kidney transplant patients. The Pk pop study was performed using a nonparametric approach (Pmetrics*). The influence of covariates (age, weight, sex, hematocrit and CYP3A4*1B, CYP3A4*22 and CYP3A5*3 polymorphisms) was tested on the model's Pk parameters. The performance of the final model was assessed using an external dataset. A one-compartment model (Vd: volume of distribution, CL: Tac Clearance) was found to correctly describe the evolution of the C0/D regardless of the PTP. The influence of the covariates has shown that only the CYP3A4*1B and CYP3A4*22 polymorphisms were significantly associated only with CL, regardless of PTP (p = .04 and 0.02, respectively). Only the CYP3A4*22 polymorphism influenced CL during early PTP (P1: the first three months, p = .02). During the late PTP (P2: >3 months), only CYP3A4 polymorphisms were found to affect CL (p = .03 for both). The external validation of the final model, including both CYP3A4 polymorphisms, showed an acceptable predictive performance during P1 and P2. We developed and validated a tac Pk pop model including both CYP3A4*22 and CYP3A4*1B polymorphisms, taking into account PTP. This model was very useful in the Tac dose proposal in this population on any PT day but could not be used in other organ transplants due to pharmacokinetic differences.

Distribution of Genetic Polymorphisms of Genes Implicated in Thiopurine Drugs Metabolism.

Thiopurine-S-methyltransferase (TPMT) and inosine triphosphate pyrophosphatase (ITPA) are crucial enzymes involved in the metabolism of thiopurine drugs. Significant interethnic variation in the expression of TPMT and ITPA is caused by single nucleotide polymorphisms of genes encoding these proteins. The aim of this study was to describe the distribution of TPMT and ITPA polymorphisms in healthy Tunisian subjects and to establish the metabolizer status of thiopurine drugs in this population. A total of 309 healthy Tunisian subjects were recruited among blood donors of Fattouma Bourguiba Hospital of Monastir. A written informed consent was obtained from all subjects. Whole blood samples were collected from every subject in ethylenediaminetetraacetic acid tubes. TPMT (c.238 G > C, c.460 G > A and c.719A > G) and ITPA (c.94C > A and IVS2+21A > C) mutations were genotyped using polymerase chain reaction-restriction fragment length polymorphism. The observed frequencies of TPMT*3A and TPMT*3C alleles were both 0.8%. The phenotype distribution of TPMT was bimodal: 96.8% of subjects were extensive metabolizers and 3.2% were intermediate metabolizers. Genotyping of ITPA revealed frequencies of 9% and 3% for IVS2+21A > C and c.94C > A mutations, respectively. Accordingly, a trimodal phenotype distribution was found: 75.4% of the subjects were extensive metabolizers, 23.4% were intermediate metabolizers, and 1.2% wereslow metabolizers. Combination of TPMT and ITPA genotyping has revealed that a quarter of the Tunisian Population carries polymorphisms that reduce the metabolic activities of these enzymes.