Tacrolimus Blood Concentrations Research Articles

Time in therapeutic range of tacrolimus in allogeneic hematopoietic stem cell transplant recipients is associated with acute graft-versus-host disease prophylaxis

Intra-patient variability in immunosuppressive blood drug concentrations is a potential biomarker in managing organ transplant patients. However, the association between the time in therapeutic range of tacrolimus blood concentrations and its efficacy in preventing graft-versus-host disease remains unknown. In this study, we analyzed the relationship between the time in therapeutic range of tacrolimus blood concentrations and its efficacy in acute graft-versus-host disease prophylaxis in patients undergoing allogeneic hematopoietic stem cell transplantation. Eligible patients administered tacrolimus were categorized into two groups based on the grade of acute graft-versus-host disease, and propensity score matching was performed using graft-versus-host disease prophylaxis protocols and days to the disease onset to compare time in therapeutic range. In patients with tacrolimus blood concentration therapeutic range ≥ 10 ng/mL, time in therapeutic range during the first 4 weeks post-transplantation was significantly lower in the Grade II–III than in the Grade 0–I group. Among propensity score matching-extracted patients, the Grade II–III group had significantly lower time in therapeutic range during the first 2 and 4 weeks post-transplantation. Our results suggest that high time in therapeutic range early post-transplantation, particularly within 4 weeks, may avert the severity of acute graft-versus-host disease.

The effect of the use of omeprazole versus famotidine on the kidney transplant function: a randomized controlled study

Tacrolimus is metabolized in the liver with the participation of cytochrome P450 isoforms 3A4 and 3A5 (CYP3A4, CYP3A5). Omeprazole, unlike famotidine, is a substrate and inhibitor of CYP2C19, CYP3A4, CYP3A5 enzymes. The aim of the study is to compare the effect of omeprazole and famotidine on the tacrolimus concentration and the kidney transplant function. A randomized study was conducted in 24 adult patients with stable kidney transplant function who received a standard triple immunosuppression regimen. Patients were assigned to the group I (n = 12) additionally receiving omeprazole (20 mg) or the group II (n = 12) receiving famotidine (20 mg). At the time of qualification and during follow-up visits, tacrolimus blood concentration and selected laboratory tests were performed. Statistical analysis was performed using the MedCalc system. The value of tacrolimus concentration in the blood increased after a year in the group I (7.27 ± 2.33 vs 9.20 ± 2.46 ng/mL, p = 0.0478). A reduction in tacrolimus dosage was observed after three years in the group I (3.56 ± 1.75 vs 2.78 ± 1.00 mg, p = 0.0440) and in the group II (2.72 ± 0.84 vs 2.10 ± 0.48 mg, p = 0.0051). There was significant difference in the percentage changes of glomerular filtration rate between the groups after 3 years of the study (− 5.56% vs 9.13%, p = 0.0343). Omeprazole significantly change the concentration of tacrolimus in the blood when administered together with tacrolimus after one year of observation. There was no effect of famotidine or omeprazole on the function of the kidney transplant. ClinicalTrials.gov identifier: NCT05061303.

Pharmacokinetic Interaction between Imatinib and Tacrolimus in Rats

Objective: Tacrolimus, a calcineurin inhibitor (CNI), is the first-line treatment for chronic myeloid leukemia (CML) and advanced gastrointestinal stromal tumors (GIST). Imatinib and tacrolimus are both substrates of the hepatic enzymes CYP3A4/5 and efflux transporter P-gp, so drug-drug interactions may occur during their co-administration treatment. Therefore, this study aimed to evaluate the pharmacokinetic interaction between imatinib and tacrolimus in rats. Methods: Rats were divided into groups I (30 mg/kg imatinib administered for 14 days), II (1.89 mg/kg tacrolimus and 30 mg/kg imatinib administered for 14 days), III (30mg/kg imatinib and 0.63mg/kg tacrolimus administered for 14 days), IV (1.89mg/kg tacrolimus for 14 days), and V (10mg/kg imatinib and 1.89mg/kg tacrolimus for 14 days). Blood samples were determined for whole blood of tacrolimus, plasma of imatinib, and Ndesmethyl imatinib concentrations using ultra-performance liquid chromatography-mass spectrometry. Results: After 1 day of a single dose, tacrolimus had no significant effect on the pharmacokinetics of imatinib and N-desmethyl imatinib; imatinib significantly increased the AUC and Cmax of tacrolimus (P < 0.05). After 14 days of multiple doses, tacrolimus significantly reduced the AUC and Cmax of imatinib and N-desmethyl imatinib (P < 0.05). Further, imatinib significantly increased AUC0-24 and AUC0-∞ of tacrolimus (P < 0.05). Conclusion: Imatinib increased tacrolimus blood concentrations after single and multiple administrations. Tacrolimus did not significantly affect the pharmacokinetics of imatinib after a single dose; however, tacrolimus might impact the absorption and metabolism of imatinib after multiple doses. The results showed that when imatinib and tacrolimus were co-administered, attention should be paid to the presence of drug-drug interactions.

Innovative Personalized Medicine for Immunosuppressive Drugs Based on Novel Control Theory of Pharmacokinetics

Tacrolimus is widely recognized as an anti-rejection agent due to its immunosuppressive characteristics. It binds to the immunophilin FK506-binding protein (FKBP) and thus to calcineurin, and inhibits its activity. Tacrolimus' therapeutic concentration range in blood is narrow, and its pharmacokinetics are highly variable among individuals. First, because tacrolimus primarily distributes to red blood cells (RBCs), anemia and blood transfusions can cause fluctuations in tacrolimus blood concentrations. Variations in blood tacrolimus concentration significantly correlated with variations in RBC count, hemoglobin level, and hematocrit value, but not with variations in white blood cell or platelet counts. Interestingly, FKBP played an important role in tacrolimus distribution to RBCs. The effects of intracellular and extracellular FKBP levels on RBC distribution of tacrolimus in circulating blood were substantial. Secondly, proteins affecting pharmacokinetics can differ at the genetic level in their expression and functional potency. Genetic polymorphisms that influence tacrolimus pharmacokinetics have been reported. A polymorphism in the gene encoding the metabolic enzyme cytochrome P450 (CYP) 3A5 is a particularly influential factor affecting tacrolimus pharmacokinetics in Japanese patients. CYP3A5 polymorphisms correlated with individual differences in tacrolimus blood concentration changes after starting continuous infusion in allogeneic hematopoietic stem cell transplantation (HSCT) recipients. In addition, CYP3A5*3 polymorphism also correlated with differences in the frequency of acute graft-versus-host disease (GVHD) development in allogeneic HSCT recipients.

A Phase I Trial of the Pharmacokinetic Interaction Between Cannabidiol and Tacrolimus.

One in six Americans uses cannabidiol-based or cannabis-derived products. Cannabidiol is a substrate of CYP3A, but its role as a potential CYP3A inhibitor remains unclear. We hypothesized that cannabidiol would inhibit CYP3A-mediated metabolism of tacrolimus. This report is an interim analysis of an open-label, three-period, fixed-sequence, crossover study in healthy participants. Participants first received a single dose of tacrolimus 5 mg orally. After washout, participants later received cannabidiol titrated to 5 mg/kg twice daily for 14 days to reach a steady state, followed by a second single dose of tacrolimus 5 mg orally. Tacrolimus concentrations in whole blood were measured by UHPLC-MS/MS method. Pharmacokinetic parameters were calculated by noncompartmental analysis. Twelve participants completed all periods of the study. The maximum concentration (Cmax) of tacrolimus increased 4.2-fold (P < 0.0001) with cannabidiol (40.2 ± 13.5 ng/mL) compared with without cannabidiol (9.85 ± 4.63 ng/mL). The area under the concentration-vs.-time curve (AUC0-∞) increased 3.1-fold (P < 0.0001). No change in half-life (t1/2) was observed. This study demonstrates that cannabidiol increases tacrolimus exposure. Our data suggest the need for dose reduction in tacrolimus and frequent therapeutic dose monitoring in transplant patients taking cannabidiol concomitantly. Whether this observed interaction occurred due to the inhibition of CYP3A4 and/or CYP3A5 in the liver, intestine, or both, or intestinal drug transporters (e.g., p-glycoprotein) during the first-pass elimination remains to be elucidated.

Association between salivary microbiota and tacrolimus pharmacokinetic variability in kidney transplant

Kidney transplantation (KT) serves as a highly effective treatment for end-stage renal disease (ESRD). Nonetheless, the administration of tacrolimus, a commonly used immunosuppressant in KT, faces challenges due to the lack of dependable biomarkers for its efficacy and the considerable variability in tacrolimus pharmacokinetics (TacIPV). In this study, 183 saliva samples from 48 KT recipients under tacrolimus therapy, alongside 9 healthy control samples, were subjected to 16S rRNA sequencing. The analysis revealed significant differences in the composition of salivary microbiota among KT recipients, patients with ESRD, and healthy controls. Moreover, trough blood concentrations (C0) of tacrolimus were associated with alterations in microbiota composition. Notably, Capnocytophage consistently exhibited a negative correlation in both group-level and individual trends. Furthermore, distinct taxa were identified that effectively distinguished recipients with varying TacIPV, as demonstrated by a cross-validation random forest model (mean AUC = 0.7560), with Anaerolinea emerging as a prominent contributor to the classifier. These findings suggest that salivary microbiota is closely linked to tacrolimus C0 levels and could aid clinicians in differentiating KT recipients based on TacIPV.

Guiding the starting dose of the once-daily formulation of tacrolimus in "de novo" adult renal transplant patients: a population approach.

The once-daily extended-release tacrolimus formulation (ER-Tac) has demonstrated similar efficacy and safety to the twice-daily immediate-release formulation (IR-Tac), but few population-based pharmacokinetic models have been developed in de novo kidney transplant patients to optimize doses. Therefore, this study aimed i) at developing a population pharmacokinetic model for ER-Tac in de novo adult kidney transplant patients ii) and identifying genetic factors and time-varying covariates predictive of pharmacokinetic variability to guide tacrolimus dosage during the early post-transplant period. A total of 1,067 blood tacrolimus concentrations from 138 kidney transplant patients were analyzed. A total of 29 out of 138 patients were intensively sampled for 24h on the day 5 post-transplantation; meanwhile, for the remaining patients, concentrations were collected on days 5, 10, and 15 after transplantation. Tacrolimus daily doses and genetic and demographic characteristics were retrieved from the medical files. Biochemistry time-varying covariates were obtained on different days over the pharmacokinetic (PK) study. A simultaneous PK analysis of all concentrations was carried out using the non-linear mixed-effects approach with NONMEM 7.5. A two-compartment model with linear elimination and delayed absorption best described the tacrolimus pharmacokinetics. Between-patient variability was associated with oral blood clearance (CL/F) and the central compartment distribution volume (Vc/F). Tacrolimus concentrations standardized to a hematocrit value of 45% significantly improved the model (p < 0.001). This method outperformed the standard covariate modeling of the hematocrit-blood clearance relationship. The effect of the CYP3A5 genotype was statistically (p < 0.001) and clinically significant on CL/F. The CL/F of patients who were CYP3A5*1 carriers was 51% higher than that of CYP3A5*1 non-carriers. Age also influenced CL/F variability (p < 0.001). Specifically, CL/F declined by 0.0562 units per each increased year from the value estimated in patients who were 60years and younger. The 36% between-patient variability in CL/F was explained by CYP3A5 genotype, age, and hematocrit. Hematocrit standardization to 45% explained the variability of tacrolimus whole-blood concentrations, and this was of utmost importance in order to better interpret whole-blood tacrolimus concentrations during therapeutic drug monitoring. The dose requirements of CYP3A5*/1 carriers in patients aged 60years or younger would be highest, while CYP3A5*/1 non-carriers older than 60years would require the lowest doses.

Association of Therapeutic Monitoring of Tacrolimus with Laboratory Markers of Kidney Function in Receptors of Kidney Allograft

Introduction: Kidney transplantation is the most commonly performed type of transplant in Brazil. Tacrolimus is one of the primary drugs used in post-transplant immunosuppressive therapy, and one of its main adverse effects is nephrotoxicity. Laboratory tests to assess renal function are of great importance in monitoring post-kidney transplant patients, helping to diagnose events indicative of graft dysfunction. Objective: !e present study aimed to evaluate the association between laboratory changes in renal function and blood levels of tacrolimus in post-kidney transplant patients. Methods: Observational, analytical and cross-sectional study. !e results of blood levels of tacrolimus and measurements of urea, creatinine and estimated Glomerular Filtration Rate (eGFR) were analyzed, as well as the sociodemographic data of kidney transplant recipients followed at a university hospital who underwent laboratory tests between months from January 2021 to July 2022 in a period close to 1 year after the transplant. !e variables analyzed in the research were collected from the patient's medical records and subsequently analyzed; the statistical analyses considered p &lt; 0.05. !e project was approved by the Ethics Committee of the Walter Cantídio University Hospital under opinion number 5,436,434 and CAAE number 57396622.1.0000.5045. Results: !e sample was mainly composed of males, mixed race, with an average age of 51.5 years (SD ± 12.5) and from cities in the interior of Ceará. Regarding the percentage of patients with laboratory changes, 50.62% (n = 45) showed changes in tacrolimus blood levels. 56.79% (n = 46) had changes in serum creatinine levels, 49.38% (n = 40) had changes in serum urea levels, and 59.26% (n = 48) had altered eGFR. !e correlation analyses suggested a low signi#cance between variations of the variables studied. Conclusion: !e results indicate no relationship between variations in tacrolimus blood concentrations and the appearance of changes in the results of classic renal biomarkers at the end of the #rst year post-transplant. However, it is necessary to carry out new studies to understand better the impact of changes in blood levels of tacrolimus on the renal function of renal allograft recipients.

P.040: Association CYP3A5 gene polymorphisms with tacrolimus blood concentration in heart transplant recipients.

P.040: Association CYP3A5 gene polymorphisms with tacrolimus blood concentration in heart transplant recipients.

Population pharmacokinetics study of tacrolimus in liver transplant recipients: a comparison between patients with or without liver cancer before surgery.

The main challenge for immunosuppressive therapy using tacrolimus in liver transplantation is the considerable variability in its oral bioavailability and the narrow treatment range. Many population pharmacokinetic (PopPK) models have been established to precisely estimate the PK variability of tacrolimus in liver transplant recipients. However, it remains unclear whether there is a significant difference in the PK behavior of tacrolimus between patients with or without liver cancer before surgery. Therefore, we aimed to compare the differences of PK parameters and simulate exposures of tacrolimus between populations preoperatively diagnosed with liver cancer or not by PopPK modeling. In total, 802 blood concentrations of tacrolimus from 196 patients (118 liver cancer and 78 non-liver-cancer samples) were included in this study. Demographic data and clinical parameters were integrated to perform a PopPK analysis using the nonlinear mixed-effects modeling approach. Potential covariates were evaluated by using a stepwise method. Goodness-of-fit plot and bootstrap were performed to assess the model stability and predictive performance. Simulations were introduced to optimize dosing regimens of both the liver cancer and non-liver-cancer groups according to the guidance. The PK of tacrolimus was best described by a one-compartment model with first-order absorption and linear elimination, with weight and direct bilirubin as the significant covariates. In the process of constructing the basic model, we tried to separately estimate the PK parameters in liver cancer and non-liver-cancer populations. The results showed that the PK parameters in the two populations were similar, and the individual variation in Ka in non-liver-cancer subjects was large. Hence, the final model did not distinguish between the two populations. Moreover, a minor increase of less than 10% was observed in the simulated exposure in the patients preoperatively diagnosed with liver cancer compared with that in non-liver-cancer groups. The established PopPK model was capable of optimizing tacrolimus dosing in whole populations who underwent liver transplantation. Although a minimal difference was found in tacrolimus exposure between the liver cancer and non-liver-cancer groups, more research is warranted to explore the differences between the two populations in the future, given the potential limitations of this study.

Prediction of the Intra-T Lymphocyte Tacrolimus Concentration after Kidney Transplantation with Population Pharmacokinetic Modeling.

The intracellular tacrolimus concentration in CD3+ T lymphocytes is proposed to be a better representative of the active component of tacrolimus than the whole blood concentration. However, intracellular measurements are complicated. Therefore, the aim of this study was to describe the relationship between intracellular and whole blood tacrolimus concentrations in a population pharmacokinetic model. Twenty-eight de novo kidney transplant recipients, treated with a once-daily oral extended-release tacrolimus formulation, were followed during the first-month post-transplantation. Additional whole blood and intracellular tacrolimus concentrations were measured at day 6 ± 1 (pre-dose, 4 and 8 hours post-dose) and day 14 ± 3 (pre-dose) post-transplantation. Pharmacokinetic analysis was performed using nonlinear mixed effects modeling software (NONMEM). The ratio between intracellular (n = 109) and whole blood (n = 248) concentrations was best described by a two-compartment whole blood model with an additional intracellular compartment without mass transfer from the central compartment. The ratio remained stable over time. Prednisolone dose influenced the absorption rate of tacrolimus, while hemoglobin, CYP3A4*22 allele carrier, and CYP3A5 expresser status were associated with the oral clearance of tacrolimus (P-value < 0.001). Furthermore, the intracellular tacrolimus concentrations were correlated with the intracellular production of interleukin-2 (P-value 0.015). The intracellular tacrolimus concentration can be predicted from a measured whole blood concentration using this model, without the need for repeated intracellular measurements. This knowledge is particularly important when the intracellular concentration is ready to be implemented into clinical practice, to overcome the complexities of cell isolation and analytical methods.

Effect of CYP3A5 Gene Polymorphisms on Tacrolimus Blood Concentrations and Adverse Events in Allogeneic Hematopoietic Stem Cell Transplant Patients

BackgroundTacrolimus is the core basic immunosuppressant after transplantation. Cytochrome P450 3A5 (CYP3A5) is the main enzyme involved in tacrolimus metabolism, and rs776746A>G is the most frequently studied polymorphism in the CYP3A5 gene. The aim of this study was to investigate the effect of CYP3A5 gene polymorphisms on tacrolimus blood concentrations and acute graft versus host disease (GVHD) in patients with allogeneic hematopoietic stem cell transplantation (allo-HSCT). MethodsThis study included adult patients who received allo-HSCT at the First Affiliated Hospital of Wannan Medical College from January 2021 to June 2022, and received postoperative treatment with tacrolimus. Tacrolimus blood levels were obtained by fully automatic chemiluminescence immunoassay analyzer. Polymerase chain reaction/restriction fragment length polymorphism was used to genotype for CYP3A5*3 allelic variants. ResultsIn a total of 50 transplant patients, 30 patients were detected with CYP3A5*3/*3 genotype, 15 patients with CYP3A5*1/*3 genotype, and 5 patients with CYP3A5*1/*1 genotype. The initial tacrolimus blood concentrations in allo-HSCT patients with CYP3A5*1/*1, *1/*3, and *3/*3 genes were 7.75, 8.61, and 10.19 ng/mL, respectively; The initial blood concentration/dose (C/D) ratios were 4.08, 4.42 and 5.66 ng/(mL·mg), respectively. The C/D ratios of allo-HSCT patients carrying CYP3A5*1/*1, *1/*3, and *3/*3 genes were 4.35 and 4.71 and 5.58, 4.19, 4.56 and 5.71 ng/(mL·mg) in the second and 3rd weeks after operation. These results showed that the blood concentration and C/D ratio of tacrolimus in patients with CYP3A5*3/*3 genotype were significantly higher than those in patients with CYP3A5*1/*3 or CYP3A5*1/*1 genotype. Moreover, the incidence of acute GVHD after allo-HSCT in patients with CYP3A5*1/*1 genotype was significantly higher than that in patients with CYP3A5*1/*3 or CYP3A5*3/*3 genotype. ConclusionsMost patients carry the mutant allele CYP3A5*3. CYP3A5 gene polymorphisms affect tacrolimus blood concentrations and acute GVHD after allo-HSCT.

Model-Informed Dosing Optimization of Tacrolimus for Concomitant Administration with Itraconazole to Japanese Lung Transplant Recipients.

Tacrolimus is an immunosuppressant administered to patients undergoing lung transplantation. Itraconazole is often concomitantly used with tacrolimus to prevent fungal infections and increase tacrolimus concentration. However, the pharmacokinetics of tacrolimus in Japanese lung transplant recipients and the effect of itraconazole on its pharmacokinetics have not been adequately evaluated. Population pharmacokinetic analysis was conducted to develop an optimal dose adjustment method for use upon itraconazole initiation in Japanese lung transplant recipients. This study comprised Japanese lung transplant recipients whose blood tacrolimus and itraconazole concentrations were measured between January 2017 and December 2019. A nonlinear mixed-effects modeling program was used to explore the covariates of tacrolimus pharmacokinetics and effects of concomitant itraconazole use. Using the model, the optimal initial tacrolimus dose was calculated and a dose adjustment method comprising concomitant itraconazole use was developed. A total of 1693 tacrolimus trough blood concentrations and 85 itraconazole trough plasma concentrations were obtained from 43 patients. Postoperative day, albumin level, and administration route were extracted as covariates for tacrolimus pharmacokinetics. The drug-drug interaction between tacrolimus and itraconazole could be predicted more accurately by considering the concentration-dependent inhibition of itraconazole. The optimal initial tacrolimus dose was 2.0 mg twice daily for tube and 1.5 mg twice daily for oral administration. To maintain the target concentration, the tacrolimus dose was reduced by 60% upon itraconazole initiation. This study is the first to use population pharmacokinetic analysis to assess the interaction between tacrolimus and itraconazole in patients who underwent lung transplantation. These results provide useful insights for optimizing the initial tacrolimus dose for concomitant itraconazole use.

Factors associated with changes in tacrolimus blood concentration after food initiation in patients with ulcerative colitis.

The therapeutic effect of tacrolimus against ulcerative colitis (UC) is correlated with its trough blood concentration. Conventionally, oral tacrolimus for the treatment of UC is initiated under fasting conditions; once the symptoms improve, food intake is resumed. Tacrolimus blood concentration decreases with food intake compared with that under fasting conditions. The aim of this study was to explore the characteristics of patients with UC whose tacrolimus blood concentrations tended to decrease after food initiation. Medical data of 13 patients with UC and treated with tacrolimus were retrospectively obtained. The participant characteristics associated with the changes in tacrolimus blood concentrations after food initiation were analyzed using regression analysis based on the rate of decrease in the concentration/dose (C/D) ratio after food initiation. Single regression analysis showed that the number of days required from tacrolimus initiation to food resumption (P = 0.0071) and individual differences in the increase in tacrolimus blood concentration after administration (P = 0.0247) were significantly associated with the rate of decrease in the C/D ratio after food initiation. Furthermore, multiple regression analysis showed a significant effect of the number of days to food resumption (P = 0.0004) and individual differences in the increase in tacrolimus blood concentration after administration (P = 0.0012). The results suggest that the degree of change in blood tacrolimus concentration after food initiation may be related to the severity of the symptoms and pathology of UC. Early identification of participant characteristics may help control tacrolimus blood concentration fluctuations after food initiation.

Meta-analysis of the effects of CYP3A5*3 gene polymorphisms on tacrolimus blood concentration and effectiveness in Chinese patients with membranous nephropathy.

The study aimed to systematically evaluate the relationship between CYP3A5*3 gene polymorphisms and the blood concentration and effectiveness of tacrolimus (TAC) in patients with membranous nephropathy (MN). PubMed, Cochrane Library, Embase, Web of Science, China Biomedical, China National Knowledge Infrastructure, Wanfang, Vipshop, ReadShow, Clinical Trials Registry, and other databases were searched. Studies on the relationship between CYP3A5*3 gene polymorphism and TAC blood concentration in MN patients were collected, and meta-analysis was performed using Stata 16 software. A total of eight publications were included in the study, including 498MN patients. CYP3A5*3 gene polymorphisms are associated with tacrolimus blood levels in patients with MN. The results of the relationship between CYP3A5*3 genotype polymorphisms and tacrolimus blood trough concentrations of the AA + AG genotype were lower than those of the GG genotype at ≤1month [WMD = -2.08, 95% CI (-2.57, -1.59), p < 0.001] and 1-6months [WMD = -0.63, 95% CI (-0.98, -0.27), p < 0.001]; however, they were not statistically significant at ≥6months (p = 0.211). Furthermore, the subgroup analysis revealed that the dose-adjusted concentration of tacrolimus (C0/D) of the AA + AG genotype was lower than that of the GG genotype at ≤1month [SMD = -1.93, 95% CI (-2.79, -1.08), p < 0.001], 1-6months [SMD = -2.25, 95% CI (-2.71, -1.79), p < 0.001], and ≥6months [SMD = -2.36, 95% CI (-2.86, -1.86), p < 0.001]. In addition, there was no statistically significant difference in effectiveness between the two groups at 3, 6, and 12months of TAC administration (p > 0.05). Serum TAC concentrations in MN patients were correlated with CYP3A5*3 genotype polymorphisms. Detection of the CYP3A5*3 genotype before the administration of TAC may provide some clinical value for optimizing the treatment of MN patients. https://inplasy.com/, identifier [INPLASY202430083].

Influence of Genetic Polymorphisms in CYP3A5, CYP3A4, and MDR1 on Tacrolimus Metabolism after kidney transplantation

Kidney transplantation stands as the ultimate recourse for restoring vital organ functions, particularly in cases of end-stage kidney disease where alternative treatments, such as dialysis, prove less effective. With over 102,000 kidney transplants conducted globally in 2022, the demand for organ transplantation is ever-increasing, fueled by a rising incidence of end-stage renal disease attributed to causes like diabetes and hypertension.&lt;br /&gt; Despite significant advancements in kidney transplantation, immunosuppressive therapy remains crucial to preventing graft rejection. Tacrolimus (TAC), a calcineurin inhibitor, plays a pivotal role in this regard. Discovered in 1984, TAC inhibits T-lymphocyte activation, preventing acute rejection by disrupting the transcription of crucial genes involved in early T-cell activation. However, the use of TAC is not without challenges. The drug exhibits serious side effects, a narrow therapeutic index, and unpredictable pharmacokinetics. Therapeutic drug monitoring (TDM) becomes imperative in daily practice to maintain TAC blood concentrations within the therapeutic range. This literature review delves into the genetic aspects influencing TAC metabolism, focusing on key polymorphisms in CYP3A5, CYP3A4, and ABCB1 genes. Genetic variations in CYP3A5, a major enzyme in TAC metabolism, impact enzyme activity, necessitating personalized dosing strategies. CYP3A4 polymorphisms, especially CYP3A4*22, demonstrate associations with altered TAC clearance and dose requirements. The ABCB1 gene, encoding P-glycoprotein, another player in TAC pharmacokinetics, also exhibits polymorphisms influencing drug absorption and distribution. The ABCB1 3435C&amp;gt;T variant, in particular, shows potential implications on Tacrolimus bioavailability. Understanding these genetic variations aids in the development of personalized dosing regimens. Studies suggest that tailoring TAC doses based on CYP3A5 genotypes significantly improves the proportion of patients achieving therapeutic concentrations. Additionally, incorporating genetic information, particularly CYP3A4*22, into dosing strategies enhances the precision of TAC therapy, reducing the risk of adverse effects.

Tacrolimus Monitoring in Liver Transplant Recipients, Posttransplant Cholestasis: A Comparative Between 2 Commercial Immunoassays and a Liquid Chromatography-Tandem Mass Spectrometry Method.

Cholestasis commonly occurs after orthotopic liver transplantation. It can be extrahepatic because of mechanical obstruction or intrahepatic because of various causes. During cholestasis episodes, blood concentrations of tacrolimus (TAC) metabolites may increase, potentially affecting TAC concentrations measured by immunoassays. This study aimed to simultaneously evaluate the analytical performance of 2 TAC immunoassays, a quantitative microsphere system (QMS) immunoassay, and chemiluminescence microparticle immunoassay, using liquid chromatography-tandem mass spectrometry (LC-MS/MS) as a reference method in liver transplant recipients. This single-center study included 265 patients who underwent orthotopic liver transplantation. In total, 942 blood samples were collected. TAC trough concentrations were measured using LC-MS/MS and 2 immunoassays in parallel. The plasma concentrations of conjugated bilirubin were measured in all samples. The results were analyzed using Bland-Altman plots and Passing-Bablok regressions. The Bland-Altman plot analysis showed that the TAC QMS immunoassay has a significant bias (+37%) compared with LC-MS/MS, and this bias was higher in patients with cholestasis with hyperbilirubinemia (≤+70% in patients with conjugated bilirubin >150 µmol/L). In comparison, the chemiluminescence microparticle immunoassay showed acceptable analytical performance in patients with hyperbilirubinemia (bias <10%). In agreement with previous findings, the TAC QMS immunoassay showed a positive bias compared with LC-MS/MS. This bias is remarkably high in patients with cholestasis and hyperbilirubinemia, suggesting the cross-reactivity of TAC metabolites with the monoclonal antibody used in the QMS immunoassay.

The efficacy and safety of tacrolimus in treating refractory IgA vasculitis nephritis: a single-center retrospective study on 16 cases.

This study aimed to observe the efficacy and safety of tacrolimus in the treatment of refractory immunoglobulin A vasculitis nephritis (IgAVN). Sixteen patients with IgAVN who had been previously treated with cyclophosphamide shock therapy at least five times, some of whom had also received mycophenolate but still had persistent proteinuria, were enrolled. The clinical and pathological data were collected and analysed. The average (mean±standard deviation) age at the initial assessment for the group of 16 patients was 10±2.7years. Finally, at the end of their respective follow-up time point, 6 of the 16 patients achieved complete remission (37.5%), 5 achieved partial remission (31.2%), and 5 had no remission (31.2%). A significant difference was found in the median proteinuria before and after a 6-month course of tacrolimus treatment [19.2 (11.2, 31.9) vs 7.8 (4.3, 13.9) mg/kg/day] (P<.05). During the first 6months of tacrolimus treatment, all patients' estimated glomerular filtration rate levels remained normal. The mean tacrolimus blood concentration was 6.0±2.6ng/mL. The median prednisone dosage was decreased from 10mg/day to 5mg/day, and prednisone was eventually stopped in three individuals. No drug-related adverse effects were observed during treatment. Tacrolimus has demonstrated efficacy in increasing remission rates, significantly lowering urinary protein levels, and reducing steroid use in children with refractory IgAVN. Further research is required to investigate its optimal blood concentrations, long-term effects and renoprotective properties.

Effect of Voriconazole on Tacrolimus Blood Concentration in Renal Transplant Recipients after Voriconazole Discontinuation

Effect of Voriconazole on Tacrolimus Blood Concentration in Renal Transplant Recipients after Voriconazole Discontinuation

Interaction between tacrolimus and calcium channel blockers based on CYP3A5 genotype in Chinese renal transplant recipients.

To investigate the effect of calcium channel blockers (CCBs) on tacrolimus blood concentrations in renal transplant recipients with different CYP3A5 genotypes. This retrospective cohort study included renal transplant recipients receiving tacrolimus-based immunosuppressive therapy with or without CCBs in combination. Patients were divided into combination and control groups based on whether or not they were combined with CCBs, and then further analyzed according to the type of CCBs (nifedipine/amlodipine/felodipine). Propensity score matching was conducted for the combination and the control groups using SPSS 22.0 software to reduce the impact of confounding factors. The effect of different CCBs on tacrolimus blood concentrations was evaluated, and subgroup analysis was performed according to the patients' CYP3A5 genotypes to explore the role of CYP3A5 genotypes in drug-drug interactions between tacrolimus and CCBs. A total of 164 patients combined with CCBs were included in the combination groups. After propensity score matching, 83 patients with nifedipine were matched 1:1 with the control group, 63 patients with felodipine were matched 1:2 with 126 controls, and 18 patients with amlodipine were matched 1:3 with 54 controls. Compared with the controls, the three CCBs increased the dose-adjusted trough concentration (C0/D) levels of tacrolimus by 41.61%-45.57% (P < 0.001). For both CYP3A5 expressers (CYP3A5*1*1 or CYP3A5*1*3) and non-expressers (CYP3A5*3*3), there were significant differences in tacrolimus C0/D between patients using felodipine/nifedipine and those without CCBs (P < 0.001). However, among CYP3A5 non-expressers, C0/D values of tacrolimus were significantly higher in patients combined with amlodipine compared to the controls (P = 0.001), while for CYP3A5 expressers, the difference in tacrolimus C0/D values between patients with amlodipine and without was not statistically significant (P = 0.065). CCBs (felodipine/nifedipine/amlodipine) can affect tacrolimus blood concentration levels by inhibiting its metabolism. The CYP3A5 genotype may play a role in the drug interaction between tacrolimus and amlodipine. Therefore, genetic testing for tacrolimus and therapeutic drug monitoring are needed when renal transplant recipients are concurrently using CCBs.