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Yang S, Wei J, Pan X, Li Z, Zhang X, Li Z, Dong X, Hua Z, Li X. Development and validation of individualized tacrolimus dosing software for Chinese pediatric liver transplantation patients: a population pharmacokinetic approach. Eur J Clin Pharmacol 2024; 80:1409-1420. [PMID: 38904798 DOI: 10.1007/s00228-024-03717-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 06/14/2024] [Indexed: 06/22/2024]
Abstract
OBJECTIVE We aim to describe the population pharmacokinetics (PPK) of tacrolimus in Chinese pediatric patients under 4 years old after liver transplantation and to develop individualized tacrolimus dosing software. METHODS A total of 663 blood concentrations from 85 patients aged 4.57 months to 3.97 years were collected in this study. PPK analysis was performed using a nonlinear mixed effects modeling approach with the software, Phoenix. Using C#, an individualized tacrolimus dosing software was created. The software was then used to predict the concentrations of another ten pediatric liver transplantation patients to verify the accuracy of said software. The predictive error (PE) and the absolute predictive error (APE) for each predicted time point were computed. RESULTS A one-compartment model with first-order elimination best fitted the data. The apparent volume of distribution (V/F) and apparent clearance (CL/F) were 198.65 L and 2.41 L/h. Postoperative days (POD), total bilirubin (TBIL), and the use of voriconazole significantly influenced tacrolimus apparent clearance. The incorporation of an increasing number of actual blood drug concentrations into the prediction resulted in a decrease in both PE (72%, 17%, 7%) and APE (87%, 53%, 26%). CONCLUSIONS A qualified PPK model of tacrolimus was developed in Chinese pediatric patients. The individualized tacrolimus dosing software could be used as a suitable tool for the personalization of tacrolimus dosing for pediatric patients after liver transplantation.
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Affiliation(s)
- Siyu Yang
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China
| | - Jian Wei
- Department of Interventional Radiography, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Xueqiang Pan
- Pharmacy Department of Beijing Health Vocational College, No. 128, Jiukeshu East Road, Tongzhou District, Beijing, 101101, China
| | - Ze Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China
| | - Xuanling Zhang
- Department of Pharmacy, Peking University First Hospital, Beijing, China
| | - Zhe Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China
| | - Xianzhe Dong
- Department of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China
| | - Zixin Hua
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China
| | - Xingang Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
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Komenkul V, Sukarnjanaset W, Komolmit P, Wattanavijitkul T. External validation of population pharmacokinetic models of tacrolimus in Thai adult liver transplant recipients. Eur J Clin Pharmacol 2024; 80:1229-1240. [PMID: 38695888 DOI: 10.1007/s00228-024-03692-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 04/17/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVE Several population pharmacokinetic models of tacrolimus in liver transplant patients were built, and their predictability was evaluated in their settings. However, the extrapolation in the prediction was unclear. This study aimed to evaluate the predictive performance of published tacrolimus models in adult liver transplant recipients using data from the Thai population as an external dataset. METHODS The selected published models were systematically searched and evaluated for their quality. The external dataset of patients who underwent the first liver transplant and received immediate-release tacrolimus was used to assess the predictive performance of each selected model. Trough concentrations between 3 and 6 months were retrospectively collected to evaluate the predictability of each model using prediction-based diagnostics, simulation-based diagnostics, and Bayesian forecasting. RESULTS Sixty-seven patients with 360 trough concentrations and eight selected published models were included in this study. None of the models met the predictive precision criteria in prediction-based diagnostics. Meanwhile, four published population pharmacokinetic models showed a normal distribution in NPDE testing. Regarding Bayesian forecasting, all models improved their forecasts with at least one prior information data point. CONCLUSION Bayesian forecasting is more accurate and precise than other testing methods for predicting drug concentrations. However, none of the evaluated models provides satisfactory predictive performance for generalization to Thai liver transplant patients. This underscores the need for future research to develop population PK models tailored to the Thai population. Such efforts should consider the inclusion of nonlinear pharmacokinetics and region-specific factors, including genetic variability, to improve model accuracy and applicability.
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Affiliation(s)
- Virunya Komenkul
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Waroonrat Sukarnjanaset
- Department of Pharmaceutical Care, College of Pharmacy, Rangsit University, Pathum Thani, Thailand
| | - Piyawat Komolmit
- Division of Gastro-enterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Liver Diseases, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Thitima Wattanavijitkul
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
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Paschier A, Destere A, Monchaud C, Labriffe M, Marquet P, Woillard JB. Tacrolimus population pharmacokinetics in adult heart transplant patients. Br J Clin Pharmacol 2023; 89:3584-3595. [PMID: 37477064 DOI: 10.1111/bcp.15857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 07/22/2023] Open
Abstract
INTRODUCTION Tacrolimus is an immunosuppressant largely used in heart transplantation. However, the calculation of its exposure based on the area under the curve (AUC) requires the use of a population pharmacokinetic (PK) model. The aims of this work were (i) to develop a population PK model for tacrolimus in heart transplant patients, (ii) to derive a maximum a posteriori Bayesian estimator (MAP-BE) based on a limited sampling strategy (LSS) and (iii) to estimate probabilities of target attainment (PTAs) for AUC and trough concentration (C0). MATERIAL AND METHODS Forty-seven PK profiles (546 concentrations) of 18 heart transplant patients of the Pharmacocinétique des Immunosuppresseurs chez les patients GREffés Cardiaques study receiving tacrolimus (Prograf®) were included. The database was split into a development (80%) and a validation (20%) set. PK parameters were estimated in MONOLIX® and based on this model a Bayesian estimator using an LSS was built. Simulations were performed to calculate the PTA for AUC and C0. RESULTS The best model to describe the tacrolimus PK was a two-compartment model with a transit absorption and a linear elimination. Only the CYP3A5 covariate was kept in the final model. The derived MAP-BE based on the LSS (0-1-2 h postdose) yielded an AUC bias ± SD = 2.7 ± 10.2% and an imprecision of 9.9% in comparison to the reference AUC calculated using the trapezoidal rule. PTAs based on AUC or C0 allowed new recommendations to be proposed for starting doses (0.11 mg·kg-1 ·12 h-1 for the CYP3A5 nonexpressor and 0.22 mg·kg1 ·12 h-1 for the CYP3A5 expressor). CONCLUSION The MAP-BE developed should facilitate estimation of tacrolimus AUC in heart transplant patients.
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Affiliation(s)
- Adrien Paschier
- Department of Pharmacology, Toxicology and Pharmacovigilance, University Hospital of Limoges, Limoges, France
| | - Alexandre Destere
- Department of Pharmacology and Toxicology, University Hospital of Nice, Nice, France
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France
- Université Côte d'Azur, Inria, CNRS, Laboratoire J.A. Dieudonné, Maasai team, Nice, France
| | - Caroline Monchaud
- Department of Pharmacology, Toxicology and Pharmacovigilance, University Hospital of Limoges, Limoges, France
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France
| | - Marc Labriffe
- Department of Pharmacology, Toxicology and Pharmacovigilance, University Hospital of Limoges, Limoges, France
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France
| | - Pierre Marquet
- Department of Pharmacology, Toxicology and Pharmacovigilance, University Hospital of Limoges, Limoges, France
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France
| | - Jean-Baptiste Woillard
- Department of Pharmacology, Toxicology and Pharmacovigilance, University Hospital of Limoges, Limoges, France
- Pharmacology & Transplantation, INSERM U1248, Université de Limoges, Limoges, France
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Wang CB, Zhang YJ, Zhao MM, Zhao L. Dosage optimization of tacrolimus based on the glucocorticoid dose and pharmacogenetics in adult patients with systemic lupus erythematosus. Int Immunopharmacol 2023; 124:110866. [PMID: 37678026 DOI: 10.1016/j.intimp.2023.110866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/25/2023] [Accepted: 08/26/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND The purpose of the study was to develop a genotype-incorporated population pharmacokinetic (PPK) model of tacrolimus (TAC) in adults with systemic lupus erythematosus (SLE) to investigate the factors influencing TAC pharmacokinetics and to develop an individualized dosing regimen based on the model. In addition, a non-genotype-incorporated model was also established to assess its predictive performance compared to the genotype-incorporated model. METHODS A total of 365 trough concentrations from 133 adult SLE patients treated with TAC were collected to develop a genotype-incorporated PPK model and a non-genotype-incorporated PPK model of TAC using a nonlinear mixed-effects model (NONMEM). External validation of the two models was performed using data from an additional 29 patients. Goodness-of-fit diagnostic plots, bootstrap method, and normalized predictive distribution error test were used to validate the predictive performance and stability of the final models. The goodness-of-fit of the two final models was compared using the Akaike information criterion (AIC). The dosing regimen was optimized using Monte Carlo simulations based on the developed optimal model. RESULTS The typical value of the apparent clearance (CL/F) of TAC estimated in the final genotype-incorporated model was 14.3 L h-1 with inter-individual variability of 27.6%. CYP3A5 polymorphism and coadministered medication were significant factors affecting TAC-CL/F. CYP3A5 rs776746 GG genotype carriers had only 77.3% of the TAC-CL/F of AA or AG genotype carriers. Omeprazole reduced TAC-CL/F by 3.7 L h-1 when combined with TAC, while TAC-CL/F increased nonlinearly as glucocorticoid dose increased. Similar findings were demonstrated in the non-genotype-incorporated PPK model. Comparing these two models, the genotype-incorporated PPK model was superior to the non-genotype-incorporated PPK model (AIC = 643.19 vs. 657.425). Monte Carlo simulation based on the genotype-incorporated PPK model indicated that CYP3A5 rs776746 AA or AG genotype carriers required a 1/2-1 fold higher dose of TAC than GG genotype carriers to achieve the target concentration. And as the daily dose of prednisone increases, the dose of TAC required to reach the target concentration increases appropriately. CONCLUSIONS We developed the first pharmacogenetic-based PPK model of TAC in adult patients with SLE and proposed a dosing regimen based on glucocorticoid dose and CYP3A5 genotype according to the model, which could facilitate individualized dosing for TAC.
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Affiliation(s)
- Cheng-Bin Wang
- Department of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yu-Jia Zhang
- Department of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Ming-Ming Zhao
- Department of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Limei Zhao
- Department of Pharmacy, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
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Cai L, Ke M, Wang H, Wu W, Lin R, Huang P, Lin C. Physiologically based pharmacokinetic model combined with reverse dose method to study the nephrotoxic tolerance dose of tacrolimus. Arch Toxicol 2023; 97:2659-2673. [PMID: 37572130 DOI: 10.1007/s00204-023-03576-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/02/2023] [Indexed: 08/14/2023]
Abstract
Nephrotoxicity is the most common side effect that severely limits the clinical application of tacrolimus (TAC), an immunosuppressive agent used in kidney transplant patients. This study aimed to explore the tolerated dose of nephrotoxicity of TAC in individuals with different CYP3A5 genotypes and liver conditions. We established a human whole-body physiological pharmacokinetic (WB-PBPK) model and validated it using data from previous clinical studies. Following the injection of 1 mg/kg TAC into the tail veins of male rats, we developed a rat PBPK model utilizing the drug concentration-time curve obtained by LC-MS/MS. Next, we converted the established rat PBPK model into the human kidney PBPK model. To establish renal concentrations, the BMCL5 of the in vitro CCK-8 toxicity response curve (drug concentration range: 2-80 mol/L) was extrapolated. To further investigate the acceptable levels of nephrotoxicity for several distinct CYP3A5 genotypes and varied hepatic function populations, oral dosing regimens were extrapolated utilizing in vitro-in vivo extrapolation (IVIVE). The PBPK model indicated the tolerated doses of nephrotoxicity were 0.14-0.185 mg/kg (CYP3A5 expressors) and 0.13-0.155 mg/kg (CYP3A5 non-expressors) in normal healthy subjects and 0.07-0.09 mg/kg (CYP3A5 expressors) and 0.06-0.08 mg/kg (CYP3A5 non-expressors) in patients with mild hepatic insufficiency. Further, patients with moderate hepatic insufficiency tolerated doses of 0.045-0.06 mg/kg (CYP3A5 expressors) and 0.04-0.05 mg/kg (CYP3A5 non-expressors), while in patients with moderate hepatic insufficiency, doses of 0.028-0.04 mg/kg (CYP3A5 expressors) and 0.022-0.03 mg/kg (CYP3A5 non-expressors) were tolerated. Overall, our study highlights the combined usage of the PBPK model and the IVIVE approach as a valuable tool for predicting toxicity tolerated doses of a drug in a specific group.
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Affiliation(s)
- Limin Cai
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| | - Meng Ke
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| | - Han Wang
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| | - Wanhong Wu
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| | - Rongfang Lin
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| | - Pinfang Huang
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China
| | - Cuihong Lin
- Department of Pharmacy, The First Affiliated Hospital of Fujian Medical University, 20 Cha Zhong M. Rd, Fuzhou, 350005, People's Republic of China.
- Department of Pharmacy, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China.
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Khong J, Lee M, Warren C, Kim UB, Duarte S, Andreoni KA, Shrestha S, Johnson MW, Battula NR, McKimmy DM, Beduschi T, Lee JH, Li DM, Ho CM, Zarrinpar A. Personalized Tacrolimus Dosing After Liver Transplantation: A Randomized Clinical Trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.26.23290604. [PMID: 37397983 PMCID: PMC10312854 DOI: 10.1101/2023.05.26.23290604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background Inter- and intra-individual variability in tacrolimus dose requirements mandates empirical clinician-titrated dosing that frequently results in deviation from a narrow target range. Improved methods to individually dose tacrolimus are needed. Our objective was to determine whether a quantitative, dynamically-customized, phenotypic-outcome-guided dosing method termed Phenotypic Personalized Medicine (PPM) would improve target drug trough maintenance. Methods In a single-center, randomized, pragmatic clinical trial ( NCT03527238 ), 62 adults were screened, enrolled, and randomized prior to liver transplantation 1:1 to standard-of-care (SOC) clinician-determined or PPM-guided dosing of tacrolimus. The primary outcome measure was percent days with large (>2 ng/mL) deviation from target range from transplant to discharge. Secondary outcomes included percent days outside-of-target-range and mean area-under-the-curve (AUC) outside-of-target-range per day. Safety measures included rejection, graft failure, death, infection, nephrotoxicity, or neurotoxicity. Results 56 (29 SOC, 27 PPM) patients completed the study. The primary outcome measure was found to be significantly different between the two groups. Patients in the SOC group had a mean of 38.4% of post-transplant days with large deviations from target range; the PPM group had 24.3% of post-transplant days with large deviations; (difference -14.1%, 95% CI: -26.7 to -1.5 %, P=0.029). No significant differences were found in the secondary outcomes. In post-hoc analysis, the SOC group had a 50% longer median length-of-stay than the PPM group [15 days (Q1-Q3: 11-20) versus 10 days (Q1-Q3: 8.5-12); difference 5 days, 95% CI: 2-8 days, P=0.0026]. Conclusions PPM guided tacrolimus dosing leads to better drug level maintenance than SOC. The PPM approach leads to actionable dosing recommendations on a day-to-day basis. Lay Summary In a study on 62 adults who underwent liver transplantation, researchers investigated whether a new dosing method called Phenotypic Personalized Medicine (PPM) would improve daily dosing of the immunosuppression drug tacrolimus. They found that PPM guided tacrolimus dosing leads to better drug level maintenance than the standard-of-care clinician-determined dosing. This means that the PPM approach leads to actionable dosing recommendations on a day-to-day basis and can help improve patient outcomes.
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Wang CB, Zhang YJ, Zhao MM, Zhao LM. Population pharmacokinetic analyses of tacrolimus in non-transplant patients: a systematic review. Eur J Clin Pharmacol 2023:10.1007/s00228-023-03503-6. [PMID: 37261481 DOI: 10.1007/s00228-023-03503-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 04/30/2023] [Indexed: 06/02/2023]
Abstract
BACKGROUND AND OBJECTIVES Tacrolimus (TAC) has been increasingly used in patients with non-transplant settings. Because of its large between-subject variability, several population pharmacokinetic (PPK) studies have been performed to facilitate individualized therapy. This review summarized published PPK models of TAC in non-transplant patients, aiming to clarify factors affecting PKs of TAC and identify the knowledge gap that may require further research. METHODS The PubMed, Embase databases, and Cochrane Library, as well as related references, were searched from the time of inception of the databases to February 2023, to identify TAC population pharmacokinetic studies modeled in non-transplant patients using a non-linear mixed-effects modeling approach. RESULTS Sixteen studies, all from Asian countries (China and Korea), were included in this study. Of these studies, eleven and four were carried out in pediatric and adult patients, respectively. One-compartment models were the commonly used structural models for TAC. The apparent clearance (CL/F) of TAC ranged from 2.05 to 30.9 L·h-1 (median of 14.9 L·h-1). Coadministered medication, genetic factors, and weight were the most common covariates affecting TAC-CL/F, and variability in the apparent volume of distribution (V/F) was largely explained by weight. Coadministration with Wuzhi capsules reduced CL/F by about 19 to 43%. For patients with CYP3A5*1*1 and *1*3 genotypes, the CL/F was 39-149% higher CL/F than patients with CYP3A5*1*1. CONCLUSION The optimal TAC dosage should be adjusted based on the patient's co-administration, body weight, and genetic information (especially CYP3A5 genotype). Further studies are needed to assess the generalizability of the published models to other ethnic groups. Moreover, external validation should be frequently performed to improve the clinical practicality of the models.
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Affiliation(s)
- Cheng-Bin Wang
- Department of Pharmacy, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, 110004, Liaoning Province, People's Republic of China
| | - Yu-Jia Zhang
- Department of Pharmacy, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, 110004, Liaoning Province, People's Republic of China
| | - Ming-Ming Zhao
- Department of Pharmacy, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, 110004, Liaoning Province, People's Republic of China
| | - Li-Mei Zhao
- Department of Pharmacy, Shengjing Hospital of China Medical University, 36 Sanhao Street, Shenyang, 110004, Liaoning Province, People's Republic of China.
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Population Pharmacokinetic Analysis for Model-Based Therapeutic Drug Monitoring of Tacrolimus in Chinese Han Heart Transplant Patients. Eur J Drug Metab Pharmacokinet 2023; 48:89-100. [PMID: 36482138 DOI: 10.1007/s13318-022-00807-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND OBJECTIVE Tacrolimus has become the first-line immunosuppressant for preventing rejection after heart transplantation. The present study aimed to investigate genetic variants and clinical factors affecting the variability of tacrolimus in Chinese Han heart transplant patients using a population pharmacokinetic approach. METHODS The retrospective study included 53 hospitalized patients with 547 tacrolimus concentrations for analysis. Nonlinear mixed-effects modeling was used to develop the population pharmacokinetics model for tacrolimus in patients with heart transplants, followed by Monte Carlo simulations to design initial dosing regimens. RESULTS In our study, the mutation rate of CYP3A4*18B (C>T) was 27.36%. An oral one-compartment model with first-order absorption and elimination was used to describe the pharmacokinetics of tacrolimus in heart transplant patients. In the final model, the estimated apparent clearance (CL/F) and volume of distribution (V/F) were 532.5 L/h [12.20% interindividual variability, IIV] and 16.87 L (23.16% IIV), respectively. Albumin, postoperative time, and rs2242480 (CYP3A4*18B) gene polymorphisms were the significant covariates affecting CL/F, and creatinine clearance had significant effects on the V/F. CONCLUSION The population pharmacokinetic model of tacrolimus in heart transplant patients can better estimate the population and individual pharmacokinetic parameters of patients and can provide a reference for the design of individualized dosing regimens.
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Xie YL, Jin X, Yan SS, Wu CF, Xiang BX, Wang H, Liang W, Yang BC, Xiao XF, Li ZL, Pei Q, Zuo XC, Peng Y. Population pharmacokinetics of intravenous colistin sulfate and dosage optimization in critically ill patients. Front Pharmacol 2022; 13:967412. [PMID: 36105229 PMCID: PMC9465641 DOI: 10.3389/fphar.2022.967412] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
Aims: To explore the population pharmacokinetics of colistin sulfate and to optimize the dosing strategy for critically ill patients.Methods: The study enrolled critically ill adult patients who received colistin sulfate intravenously for more than 72 h with at least one measurement of plasma concentration. Colistin concentrations in plasma or urine samples were measured by ultraperformance liquid chromatography tandem mass spectrometry (LC-MS/MS). The population pharmacokinetics (PPK) model for colistin sulfate was developed using the Phoenix NLME program. Monte Carlo simulation was conducted to evaluate the probability of target attainment (PTA) for optimizing dosing regimens.Results: A total of 98 plasma concentrations from 20 patients were recorded for PPK modeling. The data were adequately described by a two-compartment model with linear elimination. During modeling, creatinine clearance (CrCL) and alanine aminotransferase (ALT) were identified as covariates of the clearance (CL) and volume of peripheral compartment distribution (V2), respectively. In addition, colistin sulfate was predominantly cleared by the nonrenal pathway with a median urinary recovery of 10.05% with large inter-individual variability. Monte Carlo simulations revealed a greater creatinine clearance associated with a higher risk of sub-therapeutic exposure to colistin sulfate. The target PTA (≥90%) of dosage regimens recommended by the label sheet was achievable only in patients infected by pathogens with MIC ≤0.5 mg/L or with renal impairments.Conclusion: Our study showed that the dose of intravenous colistin sulfate was best adjusted by CrCL and ALT. Importantly, the recommended dosing regimen of 1.0–1.5 million units daily was insufficient for patients with normal renal functions (CrCL ≥80 ml/min) or those infected by pathogens with MIC ≥1.0 mg/L. The dosage of colistin sulfate should be adjusted according to renal function and drug exposure.
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Affiliation(s)
- Yue-liang Xie
- Department of Pharmacy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xin Jin
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Shan-shan Yan
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Cui-fang Wu
- Department of Pharmacy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Bi-xiao Xiang
- Department of Pharmacy, The Third Xiangya Hospital of Central South University, Changsha, China
- College of Pharmacy, Zunyi Medical University, Guizhou, China
| | - Hui Wang
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Wu Liang
- Changsha VALS Technology Co. Ltd., Changsha, China
| | - Bing-chang Yang
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Xue-fei Xiao
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zhi-ling Li
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Qi Pei
- Department of Pharmacy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xiao-cong Zuo
- Department of Pharmacy, The Third Xiangya Hospital of Central South University, Changsha, China
- Department of Pharmacy and Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Xiao-cong Zuo, ; Yue Peng,
| | - Yue Peng
- Department of ICU, The Third Xiangya Hospital of Central South University, Changsha, China
- Sepsis Translational Medicine Key Laboratory of Hunan Province, Central South University, Changsha, China
- *Correspondence: Xiao-cong Zuo, ; Yue Peng,
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Liu XL, Guan YP, Wang Y, Huang K, Jiang FL, Wang J, Yu QH, Qiu KF, Huang M, Wu JY, Zhou DH, Zhong GP, Yu XX. Population Pharmacokinetics and Initial Dosage Optimization of Tacrolimus in Pediatric Hematopoietic Stem Cell Transplant Patients. Front Pharmacol 2022; 13:891648. [PMID: 35873585 PMCID: PMC9298550 DOI: 10.3389/fphar.2022.891648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background: There is a substantial lack of tacrolimus pharmacokinetic information in pediatric hematopoietic stem cell transplant (HSCT) patients. This study aimed to develop population pharmacokinetics (PopPK) of tacrolimus in pediatric HSCT patients and to devise model-guided dosage regimens. Methods: A retrospective analysis was performed on 86 pediatric HSCT patients who received tacrolimus intravenously or orally. A total of 578 tacrolimus trough concentrations (C0) were available for pharmacokinetic analysis using a non-linear mixed-effects modeling method. Demographic and clinical data were included and assessed as covariates via the stepwise method. Bayesian estimators were used to devise pediatric dosage regimens that targeted C0 of 5-15 ng mL-1. Results: A one-compartment model with first-order absorption adequately described the tacrolimus pharmacokinetics. Clearance (CL), volume of distribution (V), and typical bioavailability (F) in this study were estimated to be 2.42 L h-1 (10.84%), 79.6 L (16.51%), and 19% (13.01%), respectively. Body weight, hematocrit, post-transplantation days, and caspofungin and azoles concomitant therapy were considered significant covariates for tacrolimus CL. Hematocrit had a significant impact on the V of tacrolimus. In the subgroup cohort of children (n = 24) with CYP3A5 genotype, the clearance was 1.38-fold higher in CYP3A5 expressers than in non-expressers. Simulation indicated that the initial dosage optimation of tacrolimus for intravenous and oral administration was recommended as 0.025 and 0.1 mg kg-1 d-1 (q12h), respectively. Conclusion: A PopPK model for tacrolimus in pediatric HSCT patients was developed, showing good predictive performance. Model-devised dosage regimens with trough tacrolimus concentrations provide a practical strategy for achieving the therapeutic range.
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Affiliation(s)
- Xiao-Lin Liu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yan-Ping Guan
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ying Wang
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ke Huang
- Department of Paediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Fu-Lin Jiang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jian Wang
- Department of Paediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qi-Hong Yu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Kai-Feng Qiu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Min Huang
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jun-Yan Wu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dun-Hua Zhou
- Department of Paediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guo-Ping Zhong
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Xia Yu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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11
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Du Y, Song W, Xiong XF, Ge WH, Huai-Jun Z. Population pharmacokinetics and dosage optimization of tacrolimus coadministration with Wuzhi capsule in adult liver transplant patients. Xenobiotica 2022; 52:274-283. [PMID: 35502774 DOI: 10.1080/00498254.2022.2073851] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
1. This study aimed to establish a population pharmacokinetic model of tacrolimus coadministration with Wuzhi capsule and optimize the dosage regimen in adult liver transplant patients.2. Totally 1327 tacrolimus trough concentrations from 116 adult liver transplant patients were obtained for model development. A one-compartment model with first-order absorption and elimination was used to analyse the data, and the final model was internally verified using a goodness-of-fit diagnostic plot, bootstrap methods, and visual prediction test. A total of 29 patients with 250 tacrolimus trough concentrations was used for external validation via prediction-based diagnostics. Additionally, the simulation was used to optimize the recommended dose of tacrolimus and Wuzhi capsules.3. The estimated apparent clearance and volume of the distribution of tacrolimus were 15.4 L/h and 1210 L, respectively. The tacrolimus daily dose, Wuzhi capsule daily dose, postoperative time, alanine transaminase, haemoglobin, total bilirubin, direct bilirubin, estimated glomerular filtration rate, and urea, concomitant with voriconazole and fluconazole, were identified as significant covariates affecting the pharmacokinetic parameters. Internal and external validation showed that the final model was stable and reliable for predicting performance.4. The final model could provide guidance for dosage optimization of tacrolimus coadministered with Wuzhi capsules in adult liver transplantation patients.
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Affiliation(s)
- Yao Du
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.,Nanjing Medical Center for Clinical Pharmacy, Nanjing, China
| | - Wei Song
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Xiao-Fu Xiong
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Wei-Hong Ge
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.,Nanjing Medical Center for Clinical Pharmacy, Nanjing, China
| | - Zhu Huai-Jun
- Department of Pharmacy, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.,Nanjing Medical Center for Clinical Pharmacy, Nanjing, China.,Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China
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12
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Teng F, Zhang W, Wang W, Chen J, Liu S, Li M, Li L, Guo W, Wei H. Population pharmacokinetics of tacrolimus in Chinese adult liver transplant patients. Biopharm Drug Dispos 2022; 43:76-85. [PMID: 35220592 DOI: 10.1002/bdd.2311] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/23/2022] [Accepted: 02/03/2022] [Indexed: 12/27/2022]
Abstract
Tacrolimus is widely used in organ transplantation to prevent rejection. However, the narrow therapeutic window and the large inter-and intra-individual variability in the pharmacokinetics (PK) of tacrolimus make it difficult for individualization of dosing. This study aimed at developing a population pharmacokinetic model for estimating the oral clearance of tacrolimus in Chinese liver transplant patients, and identifying factors that contribute to the PK variability of tacrolimus. Data of 151 liver transplant patients who received tacrolimus were analyzed in this study. The population PK model was analyzed and the covariates including population demographic and biochemical characteristics, drug combination, and genetic polymorphism were explored using non-linear mixed-effects modeling approach. A single-compartment population PK model was developed, and the final model was CL/F = (14.6-2.38 × cytochrome P450 (CYP) 3A5-3.72 × WZC+1.04 × (POD/9)+2.48 × COR) × Exp(ηi ), where CYP3A5 was 1 for CYP3A5*3/*3, Wuzhi Capsule (WZC) was 1 when patients took tacrolimus combined with WZC, otherwise it was 0, corticosteroids (COR) was 1 when patients take tacrolimus combined with COR, otherwise, it was 0, POD was the post-operative day. Visual inspection and bootstrap indicated that the final model was stable and robust. In this study, we developed the first tacrolimus population PK model in Chinese adult liver transplant patients. We first determined the influence of WZC on tacrolimus in these people, which could provide useful PK information for the drug combination of tacrolimus and WZC. We also revealed the influence of genetic polymorphism of CYP3A5, POD, and a combination of COR on tacrolimus PK. Therefore, these significant factors should be taken into consideration in optimizing dosage regimens.
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Affiliation(s)
- Fei Teng
- Institute of Organ Transplantation, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Weiyue Zhang
- School of Nursing, Beijing University of Chinese Medicine, Beijing, China
| | - Wei Wang
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Jiani Chen
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Shiyi Liu
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Mingming Li
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Lujin Li
- Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenyuan Guo
- Institute of Organ Transplantation, Second Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Hua Wei
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai, China
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13
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Extrapolation of physiologically based pharmacokinetic model for tacrolimus from renal to liver transplant patients. Drug Metab Pharmacokinet 2021; 42:100423. [PMID: 34896748 DOI: 10.1016/j.dmpk.2021.100423] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/18/2021] [Accepted: 09/27/2021] [Indexed: 11/22/2022]
Abstract
Physiologically based pharmacokinetic (PBPK) modeling is useful for evaluating differences in drug exposure among special populations, but it has not yet been employed to evaluate the absorption process of tacrolimus. In this study, we developed a minimal PBPK model with a compartmental absorption and transit model for renal transplant patients using available data in the literature and clinical data from our hospital. The effective permeability value of tacrolimus absorption and parameters for the single adjusting compartment were optimized via sensitivity analyses, generating a PBPK model of tacrolimus for renal transplant patients with good predictability. Next, we extrapolated the pharmacokinetics of tacrolimus for liver transplant patients by changing the population demographic parameters of the model. When the physiological parameters of a population with normal liver function were changed to those of a population with impaired hepatic function (Child-Pugh class A) in the constructed renal transplant PBPK model, the predicted tacrolimus concentrations were consistent with the observed concentrations in liver transplant patients. In conclusion, the constructed tacrolimus PBPK model for renal transplant patients could predict the pharmacokinetics in liver transplant patients by slightly reducing the hepatic function, even at three weeks post-transplantation.
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14
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Population Pharmacokinetic Models of Tacrolimus in Adult Transplant Recipients: A Systematic Review. Clin Pharmacokinet 2021; 59:1357-1392. [PMID: 32783100 DOI: 10.1007/s40262-020-00922-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND OBJECTIVES Numerous population pharmacokinetic (PK) models of tacrolimus in adult transplant recipients have been published to characterize tacrolimus PK and facilitate dose individualization. This study aimed to (1) investigate clinical determinants influencing tacrolimus PK, and (2) identify areas requiring additional research to facilitate the use of population PK models to guide tacrolimus dosing decisions. METHODS The MEDLINE and EMBASE databases, as well as the reference lists of all articles, were searched to identify population PK models of tacrolimus developed from adult transplant recipients published from the inception of the databases to 29 February 2020. RESULTS Of the 69 studies identified, 55% were developed from kidney transplant recipients and 30% from liver transplant recipients. Most studies (91%) investigated the oral immediate-release formulation of tacrolimus. Few studies (17%) explained the effect of drug-drug interactions on tacrolimus PK. Only 35% of the studies performed an external evaluation to assess the generalizability of the models. Studies related variability in tacrolimus whole blood clearance among transplant recipients to either cytochrome P450 (CYP) 3A5 genotype (41%), days post-transplant (30%), or hematocrit (29%). Variability in the central volume of distribution was mainly explained by body weight (20% of studies). CONCLUSION The effect of clinically significant drug-drug interactions and different formulations and brands of tacrolimus should be considered for any future tacrolimus population PK model development. Further work is required to assess the generalizability of existing models and identify key factors that influence both initial and maintenance doses of tacrolimus, particularly in heart and lung transplant recipients.
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15
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Saab AAER, El-hadidi ES, Hussein MM, Shararah MSAEB, Aly HH. Clinical utility of ABCB1 single nucleotide polymorphism on tacrolimus dose requirements in Egyptian liver transplant patients. EGYPTIAN LIVER JOURNAL 2021. [DOI: 10.1186/s43066-021-00127-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Abstract
Background
Liver transplantation (LT) is the only effective radical cure for all types of end-stage liver diseases. Major advances have been made in the field of liver transplantation due to improvements in surgical techniques and organ conservation as well as optimization of intensive care and immunosuppressive management. We aimed to assess the influence of ABCB1 gene polymorphism of liver transplant recipients on blood level and dose requirements of oral tacrolimus, in an attempt to help in designing an individualized tacrolimus regimen for Egyptian liver transplant recipient. The study included 25 liver transplant recipients and their respective 25 donors. All subjects of this study were subjected to full medical history, clinical evaluation, laboratory investigations, and ABCB1 gene polymorphism evaluation by RT-PCR. Tacrolimus concentration was evaluated for all the recipients during the first 3 months post transplantation.
Results
The present study revealed that the presence of CC genotype was significantly correlated to the effect on tacrolimus C/D ratio and weight-adjusted tacrolimus dose during the first week of the first and 2nd months (Z = −2.108, P <0.05) but not the 3rd month post transplantation (p-value >0.05). Subjects carrying CC genotype required higher doses of tacrolimus to achieve the desired trough levels compared to subjects carrying CT and TT genotypes. The same effect was observed over the whole period of the study but the results were statistically non-significant (p-value>0.05). Recipients who received liver tissue from donors carrying CC genotype also required higher doses of tacrolimus and reached lower levels of blood tacrolimus trough levels.
Conclusion
The present study revealed that ABCB1 CC genotype of both recipients and donors of liver transplantation was significantly associated with increased required tacrolimus dose early after liver transplantation reaching statistically significant level in the first week of the first and second months.
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16
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Decrocq-Rudler MA, Chan Kwong AHXP, Meunier L, Fraisse J, Ursic-Bedoya J, Khier S. Can We Predict Individual Concentrations of Tacrolimus After Liver Transplantation? Application and Tweaking of a Published Population Pharmacokinetic Model in Clinical Practice. Ther Drug Monit 2021; 43:490-498. [PMID: 33560099 DOI: 10.1097/ftd.0000000000000867] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 01/04/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND Various population pharmacokinetic models have been developed to describe the pharmacokinetics of tacrolimus in adult liver transplantation. However, their extrapolated predictive performance remains unclear in clinical practice. The purpose of this study was to predict concentrations using a selected literature model and to improve these predictions by tweaking the model with a subset of the target population. METHODS A literature review was conducted to select an adequate population pharmacokinetic model (L). Pharmacokinetic data from therapeutic drug monitoring of tacrolimus in liver-transplanted adults were retrospectively collected. A subset of these data (70%) was exploited to tweak the L-model using the $PRIOR subroutine of the NONMEM software, with 2 strategies to weight the prior information: full informative (F) and optimized (O). An external evaluation was performed on the remaining data; bias and imprecision were evaluated for predictions a priori and Bayesian forecasting. RESULTS Seventy-nine patients (851 concentrations) were enrolled in the study. The predictive performance of L-model was insufficient for a priori predictions, whereas it was acceptable with Bayesian forecasting, from the third prediction (ie, with ≥2 previously observed concentrations), corresponding to 1 week after transplantation. Overall, the tweaked models showed a better predictive ability than the L-model. The bias of a priori predictions was -41% with the literature model versus -28.5% and -8.73% with tweaked F and O models, respectively. The imprecision was 45.4% with the literature model versus 38.0% and 39.2% with tweaked F and O models, respectively. For Bayesian predictions, whatever the forecasting state, the tweaked models tend to obtain better results. CONCLUSIONS A pharmacokinetic model can be used, and to improve the predictive performance, tweaking the literature model with the $PRIOR approach allows to obtain better predictions.
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Affiliation(s)
- Marie-Astrid Decrocq-Rudler
- Pharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France
- Probabilities and Statistics Department, Institut Montpellierain Alexander Grothendieck (IMAG), Montpellier University, Montpellier, France
| | - Anna H-X P Chan Kwong
- Pharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France
- Probabilities and Statistics Department, Institut Montpellierain Alexander Grothendieck (IMAG), Montpellier University, Montpellier, France
- SMARTc Group, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Aix-Marseille University, Marseille, France
| | - Lucy Meunier
- Department of Hepato-Gastroenterology and Liver Transplantation, Montpellier University Hospital (Saint Eloi), Montpellier, France ; and
| | | | - José Ursic-Bedoya
- Department of Hepato-Gastroenterology and Liver Transplantation, Montpellier University Hospital (Saint Eloi), Montpellier, France ; and
| | - Sonia Khier
- Pharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France
- Probabilities and Statistics Department, Institut Montpellierain Alexander Grothendieck (IMAG), Montpellier University, Montpellier, France
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17
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Lu Y, Xu L, Cui J, Shen S, Li X. Effects of Postoperative Day and NR1I2 on Tacrolimus Clearance in Chinese Liver Transplant Recipients-A Population Model Approach. Clin Pharmacol Drug Dev 2021; 10:1385-1394. [PMID: 34133842 DOI: 10.1002/cpdd.971] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 05/05/2021] [Indexed: 12/16/2022]
Abstract
We aimed to explore the new biomarkers influencing tacrolimus in vivo behavior in Chinese liver transplant recipients. A total of 418 drug concentration samples of 41 liver transplant patients were collected for modeling. A population pharmacokinetic model was developed using the nonlinear mixed-effects modeling approach. The potential covariates, such as postoperative day (POD), age, body weight, hepatic and renal function, and recipient genetic polymorphisms (ABCB1, CYP3A4, CYP3A5, NR1I2) were evaluated using forward-inclusion and backward-elimination methods. A 1-compartment model was used describing the in vivo behavior of tacrolimus in liver transplant patients. The estimates of CL/F and V/F were 8.88 L/h and 495.82 L, respectively. Two covariates, POD and NR1I2 rs2276707 genotypes, were incorporated into the final population pharmacokinetic model, and they could significantly impact the CL/F: CL/F (L/h) = 8.88 × (POD/16)0.18 × e0.91 × NR1I2 × eηCL . The model evaluation and validation indicated a stable and precise performance of the final model. The functional annotation using ENCODE data indicated that rs2276707 was located on the higher peak of the H3K4Me1 and H3K4Me3 histone marker. To our knowledge, this is the first report indicating NR1I2 rs2276707 genotypes is another biomarker impacting tacrolimus clearance in liver transplant recipients. The NR1I2 gene polymorphism may affect the in vivo behavior of tacrolimus by regulating gene expression.
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Affiliation(s)
- Yanxia Lu
- Department of Pharmacy, Medical Supplies Center of Chinese PLA General Hospital, Beijing, China
| | - Li Xu
- Department of Pharmacy, Medical Supplies Center of Chinese PLA General Hospital, Beijing, China
| | - Jianrong Cui
- Department of Pharmacy, Chengdu Seventh People's Hospital, Chengdu, China
| | - Su Shen
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xingang Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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18
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Chen X, Wang DD, Xu H, Li ZP. Population pharmacokinetics and pharmacogenomics of tacrolimus in Chinese children receiving a liver transplant: initial dose recommendation. Transl Pediatr 2020; 9:576-586. [PMID: 33209719 PMCID: PMC7658763 DOI: 10.21037/tp-20-84] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In order to improve the precision of treatment with tacrolimus in Chinese patients undergoing pediatric liver transplantation, the optimum initial dose of tacrolimus was determined based on population pharmacokinetics and pharmacogenomics. METHODS Demographic data, clinical parameters, drug combinations and pharmacogenomics were integrated to build a population pharmacokinetic model using NONMEM. Additionally, Monte Carlo simulations were used to optimize the recommended initial dose. RESULTS Weight, patient cytochrome 450 3A (CYP3A)5 genotype, and co-administration with wuzhi-capsule (WZ) were incorporated into the final model. For children with a CYP3A5*3/*3 genotype not co-administered WZ, 0.10 mg/kg/day split into two doses was recommended for patients weighing 5-17 kg, and 0.05 mg/kg/day split into two doses was recommended for patients weighing 17-60 kg. For children with a CYP3A5*1 allele not co-administered WZ, 0.25 mg/kg/day for patients weighing 5-10 kg, 0.20 mg/kg/day for patients weighing 10-17 kg, 0.15 mg/kg/day for patients weighing 17-36 kg, and 0.10 mg/kg/day for patients weighing 36-60 kg; all split into two doses was recommended. For children with a CYP3A5*3/*3 genotype co-administered WZ, 0.10 mg/kg/day for patients weighing 5-11 kg, and 0.05 mg/kg/day for patients weighing 11-60 kg; both split into two doses was recommended. For children with a CYP3A5*1 allele who were co-administered WZ, 0.20 mg/kg/day for patients weighing 5-10 kg, 0.15 mg/kg/day for patients weighing 10-22 kg, and 0.10 mg/kg/day for patients weighing 22-60 kg all split into two doses was recommended. CONCLUSIONS The optimal initial dose of tacrolimus was determined based on population pharmacokinetics and pharmacogenomics in Chinese patients undergoing pediatric liver transplantation.
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Affiliation(s)
- Xiao Chen
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai, China
| | - Dong-Dong Wang
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai, China
| | - Zhi-Ping Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai, China
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19
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Chen X, Wang DD, Xu H, Li ZP. Population pharmacokinetics model and initial dose optimization of tacrolimus in children and adolescents with lupus nephritis based on real-world data. Exp Ther Med 2020; 20:1423-1430. [PMID: 32765671 PMCID: PMC7388563 DOI: 10.3892/etm.2020.8821] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 05/01/2020] [Indexed: 12/31/2022] Open
Abstract
The present study aimed to establish a population pharmacokinetics model of tacrolimus and further optimize the initial dosing regimen of tacrolimus in pediatric and adolescent patients with lupus nephritis (LN). Pediatric and adolescent patients with LN were recruited between August 2014 and September 2019 at the Children's Hospital of Fudan University (Shanghai, China). Relevant information was used to set up a population pharmacokinetics model with a Nonlinear Mixed Effect Model and the initial dosage regimen was simulated with the Monte Carlo method. Body weight and co-administration of wuzhi capsule were indicated to influence tacrolimus clearance in pediatric and adolescent patients with LN, and at the same body weight, the rate of tacrolimus clearance in patients without vs. with co-administration of wuzhi capsule was 1:0.71. In addition, in patients who were not administered wuzhi capsule, an initial dosage regimen of 0.15 mg/kg/day was recommended for a body weight of 10-23 kg and 0.10 mg/kg/day for 23-60 kg; in patients who were administered wuzhi capsule, an initial dosage regimen of 0.10 mg/kg/day was recommended for a body weight of 10-23 kg and 0.05 mg/kg/day for 23-60 kg. To the best of our knowledge, the present study was the first to establish a population pharmacokinetics model of tacrolimus in order to determine the optimal initial dosage regimen of tacrolimus in pediatric and adolescent patients with LN.
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Affiliation(s)
- Xiao Chen
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Dong-Dong Wang
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Zhi-Ping Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
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20
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Chen X, Wang DD, Xu H, Li ZP. Initial dosage optimization of tacrolimus in Chinese pediatric patients undergoing kidney transplantation based on population pharmacokinetics and pharmacogenetics. Expert Rev Clin Pharmacol 2020; 13:553-561. [PMID: 32452705 DOI: 10.1080/17512433.2020.1767592] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Xiao Chen
- Department of Pharmacy, Children’s Hospital of Fudan University, Shanghai, China
| | - Dong-Dong Wang
- Department of Pharmacy, Children’s Hospital of Fudan University, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Children’s Hospital of Fudan University, Shanghai, China
| | - Zhi-Ping Li
- Department of Pharmacy, Children’s Hospital of Fudan University, Shanghai, China
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21
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Uchida M, Yamazaki S, Suzuki T, Takatsuka H, Ishii I. Effects of red blood cell concentrate transfusion on blood tacrolimus concentration. Int J Clin Pharm 2020; 42:956-964. [PMID: 32342263 DOI: 10.1007/s11096-020-01038-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 04/15/2020] [Indexed: 11/26/2022]
Abstract
Background Elevated blood concentration of tacrolimus is frequently observed following transfusion of red blood cell concentrate in patients after allogeneic hematopoietic stem cell transplantation. Objective The aim of this retrospective study was to clarify the effects of transfusion of red blood cell concentrate on the blood concentration of tacrolimus. Setting Chiba University Hospital in Japan. Method Fifty-two patients (aged 0-65 years) receiving both tacrolimus and transfusion after allogeneic hematopoietic stem cell transplantation were enrolled. The ratio of measurement after transfusion to measurement before transfusion was calculated for hematocrit and blood concentration/dose ratio of tacrolimus (termed the hematocrit ratio and the tacrolimus ratio, respectively). Main outcome measure Change in blood concentration/dose ratio of tacrolimus and variable factors associated with variation in tacrolimus ratio. Results The blood concentration/dose ratio of tacrolimus was increased after transfusion compared with before transfusion (p < 0.001). A statistically significant correlation was seen between the hematocrit ratio and tacrolimus ratio (r = 0.32, p < 0.001). Hematocrit ratio, age or body surface area, and difference in aspartate aminotransferase level before and after transfusion were associated with the variation in tacrolimus ratio. There was no correlation between tacrolimus ratio and change in serum creatinine or potassium level in the short term. Conclusion Change in the blood concentration/dose ratio of tacrolimus was associated with change in the hematocrit ratio after transfusion, and more attention is required for children or patients with small body surface area. Dose adjustment of tacrolimus is required if the blood concentration of tacrolimus is much higher than the target concentration.
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Affiliation(s)
- Masashi Uchida
- Division of Pharmacy, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan.
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan.
| | - Shingo Yamazaki
- Division of Pharmacy, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan
| | - Takaaki Suzuki
- Division of Pharmacy, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan
| | - Hirokazu Takatsuka
- Division of Pharmacy, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan
| | - Itsuko Ishii
- Division of Pharmacy, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8675, Japan
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22
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Cai X, Li R, Sheng C, Tao Y, Zhang Q, Zhang X, Li J, Shen C, Qiu X, Wang Z, Jiao Z. Systematic external evaluation of published population pharmacokinetic models for tacrolimus in adult liver transplant recipients. Eur J Pharm Sci 2020; 145:105237. [DOI: 10.1016/j.ejps.2020.105237] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 01/21/2020] [Accepted: 01/22/2020] [Indexed: 12/19/2022]
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23
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Shao J, Wang C, Fu P, Chen F, Zhang Y, Wei J. Impact of Donor and Recipient CYP3A5*3 Genotype on Tacrolimus Population Pharmacokinetics in Chinese Adult Liver Transplant Recipients. Ann Pharmacother 2019; 54:652-661. [PMID: 31888346 DOI: 10.1177/1060028019897050] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: Tacrolimus (TAC) is widely used after liver transplantation, but the therapeutic window is narrow. Objective: The purpose was to study both donor and recipient CYP3A5*3 genotypes affecting TAC apparent clearance rate (CL/F) and investigate a TAC population pharmacokinetic (PPK) model in Chinese liver transplant recipients for potential starting-dose individualized medication. Methods: A data set of 721 TAC concentrations was obtained from 43 adult liver transplant recipients. The TAC PPK model was analyzed using nonlinear mixed-effects modeling. Potential covariates, including demographic characteristics, physiological and pathological data, concomitant medications, and CYP3A5*3 genotype, were evaluated. The final model was validated using normalized prediction distribution errors and bootstrapping. Results: A 2-compartment model with first-order absorption and elimination was used to describe TAC disposition. Population estimates of TAC, CL/F, apparent central distribution volume (V2/F), rate of absorption (Ka), and apparent peripheral distribution volume (V3/F) were 18.1 L/h (12%), 72.7 L (34%), 0.163 h−1 (17%), and 412 L (21%), respectively. The model and estimated parameters were found to be stable. Other covariates did not influence TAC CL/F. Both donor and recipient CYP3A5*1 genotypes were significantly correlated with TAC clearance, and CL/F was 1.70-fold higher in both donor and recipient CYP3A5*1 carriers than in noncarriers among Chinese liver transplant recipients. Conclusion and Relevance: A PPK model of TAC was established in Chinese adult liver transplantation recipients for starting-dose individualized medication, which can be expanded to optimize clinical efficacy and minimize toxicity with therapeutic drug monitoring.
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Affiliation(s)
- Jia Shao
- Tianjin First Central Hospital, Tianjin, China
| | - Chenyu Wang
- Huashan Hospital, Fudan University, Shanghai, China
| | - Peng Fu
- Tianjin First Central Hospital, Tianjin, China
| | - Fan Chen
- Tianjin First Central Hospital, Tianjin, China
| | - Yi Zhang
- Tianjin First Central Hospital, Tianjin, China
| | - Jinxia Wei
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
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24
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Nanga TM, Doan TTP, Marquet P, Musuamba FT. Toward a robust tool for pharmacokinetic-based personalization of treatment with tacrolimus in solid organ transplantation: A model-based meta-analysis approach. Br J Clin Pharmacol 2019; 85:2793-2823. [PMID: 31471970 DOI: 10.1111/bcp.14110] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 07/31/2019] [Accepted: 08/06/2019] [Indexed: 02/07/2023] Open
Abstract
AIMS The objective of this study is to develop a generic model for tacrolimus pharmacokinetics modelling using a meta-analysis approach, that could serve as a first step towards a prediction tool to inform pharmacokinetics-based optimal dosing of tacrolimus in different populations and indications. METHODS A systematic literature review was performed and a meta-model developed with NONMEM software using a top-down approach. Historical (previously published) data were used for model development and qualification. In-house individual rich and sparse tacrolimus blood concentration profiles from adult and paediatric kidney, liver, lung and heart transplant patients were used for model validation. Model validation was based on successful numerical convergence, adequate precision in parameter estimation, acceptable goodness of fit with respect to measured blood concentrations with no indication of bias, and acceptable performance of visual predictive checks. External validation was performed by fitting the model to independent data from 3 external cohorts and remaining previously published studies. RESULTS A total of 76 models were found relevant for meta-model building from the literature and the related parameters recorded. The meta-model developed using patient level data was structurally a 2-compartment model with first-order absorption, absorption lag time and first-time varying elimination. Population values for clearance, intercompartmental clearance, central and peripheral volume were 22.5 L/h, 24.2 L/h, 246.2 L and 109.9 L, respectively. The absorption first-order rate and the lag time were fixed to 3.37/h and 0.33 hours, respectively. Transplanted organ and time after transplantation were found to influence drug apparent clearance whereas body weight influenced both the apparent volume of distribution and the apparent clearance. The model displayed good results as regards the internal and external validation. CONCLUSION A meta-model was successfully developed for tacrolimus in solid organ transplantation that can be used as a basis for the prediction of concentrations in different groups of patients, and eventually for effective dose individualization in different subgroups of the population.
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Affiliation(s)
- Tom M Nanga
- INSERM UMR 1248, Université de Limoges, FHU support, Limoges Cédex, 87025, France
| | - Thao T P Doan
- INSERM UMR 1248, Université de Limoges, FHU support, Limoges Cédex, 87025, France
| | - Pierre Marquet
- INSERM UMR 1248, Université de Limoges, FHU support, Limoges Cédex, 87025, France
| | - Flora T Musuamba
- Federal Agency for Medicines and Health Products, Brussels, Belgium.,Faculté des sciences pharmaceutiques, Université de Lubumbashi, Lubumbashi, Democratic Republic of the Congo
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25
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Wang D, Chen X, Xu H, Li Z. Population pharmacokinetics of tacrolimus in pediatric patients with systemic-onset juvenile idiopathic arthritis: Initial dosage recommendations. Exp Ther Med 2019; 18:4653-4660. [PMID: 31772640 PMCID: PMC6861867 DOI: 10.3892/etm.2019.8129] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 10/04/2019] [Indexed: 12/28/2022] Open
Abstract
Pediatric patients with systemic-onset juvenile idiopathic arthritis (SOJIA) may be treated with tacrolimus. However, the therapeutic range for tacrolimus is narrow with considerable inter- and intra-individual variability, making it difficult to formulate an ideal dosage regimen for personalized treatment. The purpose of the present study was to set up a population pharmacokinetics (PPK) model of tacrolimus treatment for SOJIA to determine the optimal initial dosage. Patients with SOJIA were analyzed using non-linear mixed-effects modeling. Different regimens were analyzed using Monte Carlo simulation with concentration profiles. A first-order absorption and elimination one-compartment model was selected as the most appropriate model for SOJIA. Based on initial dosage recommendations, the regimen of 0.5 mg every 24 h (q24h) appeared to be most suitable for subjects with a body weight of 5 kg, while the 0.5 mg q12h regimen was most suitable for subjects with a body weight of 15–25 kg, the 1/0.5 mg q24h regimen was appropriate for the 26–35 kg group and the 1 mg q12h regimen was suitable for the subjects with a body weight of 36–50 kg. To the best of our knowledge, the present study established the first PPK model of tacrolimus treatment that may be used for the selection of the initial dose based on body weight of pediatric patients with SOJIA.
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Affiliation(s)
- Dongdong Wang
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Xiao Chen
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Hong Xu
- Department of Nephrology and Rheumatology, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Zhiping Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
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26
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Chen X, Wang D, Xu H, Li Z. Initial dose optimization of tacrolimus for children with systemic lupus erythematosus based on theCYP3A5polymorphism and coadministration with Wuzhi capsule. J Clin Pharm Ther 2019; 45:309-317. [PMID: 31755126 DOI: 10.1111/jcpt.13072] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 09/17/2019] [Accepted: 10/22/2019] [Indexed: 01/03/2023]
Affiliation(s)
- Xiao Chen
- Department of Pharmacy Children's Hospital of Fudan University Shanghai China
| | - Dongdong Wang
- Department of Pharmacy Children's Hospital of Fudan University Shanghai China
| | - Hong Xu
- Department of Nephrology Children's Hospital of Fudan University Shanghai China
| | - Zhiping Li
- Department of Pharmacy Children's Hospital of Fudan University Shanghai China
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27
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Wang D, Chen X, Fu M, Xu H, Li Z. Tacrolimus increases the expression level of the chemokine receptor CXCR2 to promote renal fibrosis progression. Int J Mol Med 2019; 44:2181-2188. [PMID: 31638188 PMCID: PMC6844638 DOI: 10.3892/ijmm.2019.4368] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 09/24/2019] [Indexed: 12/31/2022] Open
Abstract
Tacrolimus is one of the most used and effective immunosuppressive agents currently available in the clinic; however, its use is limited by nephrotoxicity, which is the main secondary effect of this drug. The mechanisms underlying tacrolimus-induced nephrotoxicity remain unknown. The present study aimed to investigate the mechanism underlying tacrolimus-induced nephrotoxicity and to identify novel potential targets. Masson staining, Sirius red staining and periodic acid-silver methenamine staining were used to observe kidney pathological changes. Immunohistochemical and immunofluorescent analyses were performed to examine the expression levels of vimentin, E-cadherin and α-smooth muscle actin (α-SMA). Transcriptomics and bioinformatics analyses were performed to investigate the nephrotoxicity mechanism induced by tacrolimus using RNA-sequencing, differentially expressed genes identification and annotation, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. The present results demonstrated that compared with the normal control group, the tacrolimus nephrotoxicity group exhibited severe renal fibrosis (P<0.05), upregulated vimentin (P<0.01), downregulated E-cadherin (P<0.05) and upregulated α-SMA (P<0.01). Transcriptomics and bioinformatics analyses identified the pathway 'cytokine-cytokine receptor interaction' as the most significantly enriched (P<0.05). Moreover, KEGG pathway enrichment analysis identified that tacrolimus increased the expression levels of chemokine (C-X-C) motif ligand (CXCL)1, CXCL2 and CXCL3 and the chemokine receptor C-X-C chemokine receptor type 2 (CXCR2). Collectively, the present study suggested that tacrolimus increases the level of chemokine receptor CXCR2 to promote renal fibrosis progression, which is one of the potential mechanisms underlying tacrolimus-induced nephrotoxicity.
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Affiliation(s)
- Dongdong Wang
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Xiao Chen
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Meng Fu
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Zhiping Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
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28
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Tian JX, Zhang P, Miao WJ, Wang XD, Liu XO, Liao YX, Li S, Yan HH. Tacrolimus Levels in the Prophylaxis of Acute Graft-Versus-Host Disease in the Chinese Early After Hematopoietic Stem Cell Transplantation. Ther Drug Monit 2019; 41:620-627. [PMID: 31268965 DOI: 10.1097/ftd.0000000000000645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Tacrolimus has been widely accepted as the backbone of acute graft-versus-host disease (aGVHD) prophylaxis in allogeneic hematopoietic stem cell transplantation (alloHSCT). The present work evaluated whether tacrolimus concentrations early after transplant correlate with the incidence of aGVHD in Chinese alloHSCT recipients. METHODS One hundred four Chinese alloHSCT recipients were included in this retrospective study. All patients received standard prophylaxis with tacrolimus and short-term methotrexate. Blood samples were taken at steady-state for those on i.v. tacrolimus (Cv) or predose (C0) and 2 hours after the last oral dose (C2). RESULTS In the first 8 weeks after alloHSCT, significant variability in Cv, C0, and C2 of Chinese patients was observed. It was found that higher tacrolimus C0 and C2 values tended to be associated with a reduced risk of aGVHD, although this was a nonsignificant trend due to the small sample size involved. Receiver operating characteristic curve analysis indicated that Cv levels of ≥16.52 ng/mL, C0 levels of ≥5.56 ng/mL, and C2 levels of ≥7.83 ng/mL minimized the incidence of treatment failure during weeks 3-4 with intravenous administration and weeks 5-6 with oral administration. There was no statistically significant association of the patient liver and kidney function with the blood concentration of tacrolimus in the desired range of 5-20 ng/mL. CONCLUSIONS Tacrolimus therapeutic drug monitoring improved treatment outcomes of Chinese alloHSCT recipients. Cv measurements during weeks 3-4 and C0 or C2 measurements during weeks 5-6 better predicted aGVHD (I-IV) than the concentrations measured at other time points during the first 6 weeks after alloHSCT.
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Affiliation(s)
- Ji-Xin Tian
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Ping Zhang
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Wen-Juan Miao
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Xiao-Dan Wang
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Xue-Ou Liu
- Organization for Drug Clinical Trial, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Ying-Xi Liao
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Shan Li
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
| | - Hai-Hong Yan
- Department of Pharmacy, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Tianjin, People's Republic of China
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29
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Riff C, Debord J, Monchaud C, Marquet P, Woillard JB. Population pharmacokinetic model and Bayesian estimator for 2 tacrolimus formulations in adult liver transplant patients. Br J Clin Pharmacol 2019; 85:1740-1750. [PMID: 30973981 DOI: 10.1111/bcp.13960] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 03/26/2019] [Accepted: 04/08/2019] [Indexed: 12/01/2022] Open
Affiliation(s)
- Camille Riff
- Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France
| | - Jean Debord
- Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France.,IPPRITT, Univ. Limoges, Limoges, France.,IPPRITT, U1248, INSERM, Limoges, France
| | - Caroline Monchaud
- Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France.,IPPRITT, Univ. Limoges, Limoges, France.,IPPRITT, U1248, INSERM, Limoges, France
| | - Pierre Marquet
- Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France.,IPPRITT, Univ. Limoges, Limoges, France.,IPPRITT, U1248, INSERM, Limoges, France
| | - Jean-Baptiste Woillard
- Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France.,IPPRITT, Univ. Limoges, Limoges, France.,IPPRITT, U1248, INSERM, Limoges, France
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30
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Lu Z, Bonate P, Keirns J. Population pharmacokinetics of immediate- and prolonged-release tacrolimus formulations in liver, kidney and heart transplant recipients. Br J Clin Pharmacol 2019; 85:1692-1703. [PMID: 30950096 PMCID: PMC6624387 DOI: 10.1111/bcp.13952] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 03/19/2019] [Accepted: 03/25/2019] [Indexed: 11/28/2022] Open
Abstract
Aims Develop a population pharmacokinetics model of tacrolimus in organ transplant recipients receiving twice‐daily, immediate‐release (IR‐T; Prograf) and/or once‐daily, prolonged‐release (PR‐T; Advagraf or Astagraf XL) tacrolimus. Methods Tacrolimus concentration–time profiles were analysed from 8 Phase II studies in adult and paediatric liver, kidney and heart transplant patients receiving IR‐T and/or PR‐T. A tacrolimus population pharmacokinetic model, including identification of significant covariates, was developed using NONMEM. Results Overall, 23,176 tacrolimus concentration records were obtained from 408 patients. A 2‐compartment model with first‐order absorption and elimination described the concentration–time profiles. Tacrolimus absorption rate was 50% slower with PR‐T vs IR‐T. Tacrolimus apparent oral clearance was 44.3 L/h in Whites and 59% higher in Asians. Tacrolimus central volume of distribution was 108 L in males and 55% lower in females; trough concentrations were similar between formulations. Tacrolimus relative bioavailability was similar between formulations (geometric mean ratio PR‐T:IR‐T 95%, 90% confidence intervals: 89%, 101%). Asians had 83% and 51% higher relative bioavailability than Whites and Blacks, respectively, for IR‐T and PR‐T. Whites had 49% and 77% higher relative bioavailability than Blacks for PR‐T and IR‐T, respectively. Blacks had 52% lower relative bioavailability than Whites and Asians for IR‐T and PR‐T. Type of organ transplanted and patient population (adult/paediatric) did not have a significant effect on tacrolimus pharmacokinetics. Conclusions This population pharmacokinetic model described data from transplant recipients who received IR‐T and/or PR‐T. Tacrolimus trough concentrations and relative bioavailability were similar between formulations, supporting 1 mg:1 mg conversion from Prograf to Advagraf/Astagraf XL in clinical practice.
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Affiliation(s)
- Zheng Lu
- Astellas Pharma Global Development, Inc., Northbrook, Illinois, USA
| | - Peter Bonate
- Astellas Pharma Global Development, Inc., Northbrook, Illinois, USA
| | - James Keirns
- Formerly Astellas Pharma Global Development, Inc., Northbrook, Illinois, USA
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31
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Wang D, Chen X, Xu H, Li Z. Population pharmacokinetics and dosing regimen optimization of tacrolimus in Chinese pediatric hematopoietic stem cell transplantation patients. Xenobiotica 2019; 50:178-185. [PMID: 30938547 DOI: 10.1080/00498254.2019.1601791] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
1. Several tacrolimus population pharmacokinetic (PPK) models in hematopoietic stem cell transplantation (HSCT) patients have been set up to recommend an optimal dosage schedule. However, the PPK model of Chinese pediatric HSCT patients has not been reported. The study is to investigate whether published PPK models of HSCT patients can be used to simulate Chinese pediatric HSCT patients and establish the tacrolimus PPK model of Chinese pediatric HSCT patients.2. Published PPK models were collected from the literature and assessed using Chinese pediatric HSCT patients via the individual prediction error method. The establishment of tacrolimus PPK model in Chinese pediatric HSCT patients was characterized with nonlinear mixed-effects modeling (NONMEM).3. Three published HSCT PPK models were identified, two of which could be applied to our external dataset. However, these models were dissatisfactory in terms of individual prediction error and, hence, inadequate for extrapolation. Finally, a new tacrolimus PPK model in Chinese pediatric HSCT patients was established. Based on the simulation results of our model, new initial dosage suggestions were recommended. In conclusion, the tacrolimus PPK model in Chinese pediatric HSCT patients was presented and the model could be used to predict individualized dosing regimens in children with HSCT.
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Affiliation(s)
- Dongdong Wang
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai, China
| | - Xiao Chen
- Department of Pharmacy, The People's Hospital of Jiangyin, Jiangyin, China
| | - Hong Xu
- Department of Nephrology, Children's Hospital of Fudan University, Shanghai, China
| | - Zhiping Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai, China
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32
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Wang D, Lu J, Li Q, Li Z. Population pharmacokinetics of tacrolimus in pediatric refractory nephrotic syndrome and a summary of other pediatric disease models. Exp Ther Med 2019; 17:4023-4031. [PMID: 31007740 PMCID: PMC6468928 DOI: 10.3892/etm.2019.7446] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 06/01/2018] [Indexed: 12/31/2022] Open
Abstract
Different tacrolimus (TAC) population pharmacokinetic (PPK) models have been established in various pediatric disease populations. However, a TAC PPK model for pediatric refractory nephrotic syndrome (PRNS) has not been well characterized. The current study aimed to establish a TAC PPK model in Chinese PRNS and provide a summary of previous literature concerning TAC PPK models in different pediatric diseases. A total of 147 TAC conventional therapeutic drug monitoring (TDM) data from multiple blood samples obtained from 65 Chinese patients with PRNS were characterized using nonlinear mixed-effects modeling. The impacts of demographic features, biological characteristics and drug combination were evaluated. Model validation was assessed using the bootstrap method. A one-compartment model with first-order absorption and elimination was determined to be the most suitable model for TDM data in PRNS. The absorption rate constant (Ka) was set at 4.48 h−1. The typical values of apparent oral clearance (CL/F) and apparent volume of distribution (V/F) in the final model were 5.46 l/h and 57.1 l, respectively. The inter-individual variability of CL/F and V/F were 22.2 and 0.2%, respectively. The PPK equation for TAC was: CL/F = 5.46 × exponential function (EXP)(0.0323 × age) × EXP(−0.359 × cystatin-C) × EXP(0.148 × daily dose of TAC). No significant effects of covariates on V/F were observed. In conclusion, the current study developed and validated the first TAC PPK model for patients with PRNS. The study also provided a summary of previous literature concerning other TAC PPK models in different pediatric diseases.
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Affiliation(s)
- Dongdong Wang
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Jinmiao Lu
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Qin Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
| | - Zhiping Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai 201102, P.R. China
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Lu T, Zhu X, Xu S, Zhao M, Huang X, Wang Z, Zhao L. Dosage Optimization Based on Population Pharmacokinetic Analysis of Tacrolimus in Chinese Patients with Nephrotic Syndrome. Pharm Res 2019; 36:45. [DOI: 10.1007/s11095-019-2579-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 01/21/2019] [Indexed: 12/21/2022]
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34
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Gong Y, Yang M, Sun Y, Li J, Lu Y, Li X. Population pharmacokinetic analysis of tacrolimus in Chinese cardiac transplant recipients. Eur J Hosp Pharm 2019; 27:e12-e18. [PMID: 32296499 DOI: 10.1136/ejhpharm-2018-001764] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/02/2018] [Accepted: 12/18/2018] [Indexed: 01/08/2023] Open
Abstract
Objective Usage of tacrolimus is complicated by its narrow therapeutic index and wide between- and within-subject pharmacokinetic variability. We aimed to obtain more information regarding the influence of various covariates on the disposition of tacrolimus in the early phase after cardiac transplantation using a population pharmacokinetic method, and provide information for the individualisation of drug dosing in the clinical setting. Methods Routine therapeutic drug monitoring concentrations (897 observations) were retrospectively collected from 146 hospitalised patients. One compartment model with first-order absorption (absorption rate constant Ka was fixed as 4.48/hour) was employed to establish the population pharmacokinetic model using a non-linear mixed-effects modelling approach. Various demographic parameters, postoperative day and concomitant medications influencing drug clearance and distribution volume were investigated in this study. Bootstrap and prediction-corrected visual predictive check were employed to validate the final model. With the goal of tacrolimus trough concentrations within the therapeutic window, simulation was performed. Results Pharmacokinetic parameter population typical estimates for clearance (CL/F) and apparent distribution volume (V/F) were 14.23 L/hour and 760.80 L, respectively. Postoperative day and co-administration of Wuzhi capsules were identified as important factors affecting CL/F. Total body weight was significantly associated with the V/F. Results of model evaluation indicated a good stable and precise performance of the final model. Based on the simulation results, a simple-touse dosage regimen table to guide clinicians with drug dosing was created. Conclusion The final population model could provide information for the individualised dosing of tacrolimus for cardiac transplant recipients.
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Affiliation(s)
- Yan Gong
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ming Yang
- Department of Anesthesiology, Tianjin Eye Hospital, Tianjin, China
| | - Yongfeng Sun
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Li
- Department of Pharmacy, Children's Hospital of Fudan University, Shanghai, China
| | - Yongning Lu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xingang Li
- Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Precision Medicine Center for Neurological Disorders, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Han Y, Zhou H, Cai J, Huang J, Zhang J, Shi SJ, Liu YN, Zhang Y. Prediction of tacrolimus dosage in the early period after heart transplantation: a population pharmacokinetic approach. Pharmacogenomics 2019; 20:21-35. [PMID: 30730287 DOI: 10.2217/pgs-2018-0116] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: The aim of this study was to evaluate tacrolimus population pharmacokinetics and investigate factors that explain tacrolimus variability in adult heart transplant patients. Methods: A total of 707 tacrolimus concentrations from 107 adult heart transplant patients were included in model development. The effects of demographic, clinical factors and CYP3A5 genotype on tacrolimus clearance were evaluated using a nonlinear mixed-effects modeling. 24 patients with 106 tacrolimus concentrations were used for external validation. Results: The pharmacokinetic data were adequately described by a one-compartment model with first-order absorption and elimination. The estimated apparent clearance and volume of distribution of tacrolimus were 13.7 l/h and 791 l, respectively. Tacrolimus apparent clearance was significantly reduced in CYP3A5 nonexpressers (CYP3A5*3/*3), concomitant with azole antifungal drugs and Wuzhi capsule (WZ). A predictive performance was further confirmed in an external validation by Bayesian estimation. Recommended dose regimens were obtained by simulations based on the established model. Conclusion: This is the first population pharmacokinetic study conducted in Chinese heart transplant recipients. These findings are of great importance with regards to tacrolimus dose optimization in heart transplantation patients.
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Affiliation(s)
- Yong Han
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
| | - Hong Zhou
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
| | - Jie Cai
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
| | - Jun Huang
- Institutes of Antibiotics, Huashan Hospital, Fudan University.12 Middle Urumqi Road, Shanghai, 200040, PR China
| | - Jing Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
| | - Shao-Jun Shi
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
| | - Ya-Ni Liu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
| | - Yu Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, No. 1277, Jie Fang Road, Wuhan, Hubei province, 430022, PR China
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Wang DD, Lu JM, Li Q, Li ZP. Population pharmacokinetics of tacrolimus in paediatric systemic lupus erythematosus based on real-world study. J Clin Pharm Ther 2018; 43:476-483. [PMID: 29766530 DOI: 10.1111/jcpt.12707] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Accepted: 04/17/2018] [Indexed: 01/03/2023]
Affiliation(s)
- D.-D. Wang
- Department of Pharmacy; Children’s Hospital of Fudan University; Shanghai China
| | - J.-M. Lu
- Department of Pharmacy; Children’s Hospital of Fudan University; Shanghai China
| | - Q. Li
- Department of Pharmacy; Children’s Hospital of Fudan University; Shanghai China
| | - Z.-P. Li
- Department of Pharmacy; Children’s Hospital of Fudan University; Shanghai China
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Chen B, Shi HQ, Liu XX, Zhang WX, Lu JQ, Xu BM, Chen H. Population pharmacokinetics and Bayesian estimation of tacrolimus exposure in Chinese liver transplant patients. J Clin Pharm Ther 2017; 42:679-688. [PMID: 28833329 DOI: 10.1111/jcpt.12599] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 06/26/2017] [Indexed: 12/16/2022]
Abstract
WHAT IS KNOWN AND OBJECTIVES Tacrolimus (TAC) is widely used as part of immunosuppressive regimens. There is great interindividual variation on the disposition of TAC. The aim of this study was to develop a population pharmacokinetic (PPK) model for Chinese liver transplant patients and evaluate genetic polymorphism and other possible factors on the PK parameters. The exposure of TAC is to be estimated through Bayesian modelling. METHODS A total of 47 sets of rich-time PK and 1234 conventional therapeutic drug monitoring (TDM) data were collected from 125 Chinese liver transplant patients. The pathophysiological data of these patients were recorded. CYP3A5*3 and ABCB1 genotypes were determined for each patient. The PPK model for TAC was established by nonlinear mixed-effects modelling (nonmem). The impact of pathophysiology and genotype on PPK parameters was evaluated. Bayesian estimators for the area under concentration-time curve (AUC) of TAC were validated. RESULTS A two-compartment model with lag time was found to be the most suitable model for the pooled full PK and TDM data for Chinese liver transplant patients. The CL/F, V2 /F, Q/F, V3 /F, Ka and lag time were 17.4±0.81 L/h, 165±44.1 L, 54.9±25.8L/h, 594±87.5 L, 0.51±0.095 L/h and 1.57±0.34 h. Post-operative day (POD), creatinine clearance (CLcr) and ABCB1 C3435T genotypes were found to have significant influences on CL/F (P<.01). ABCB1 C3435T genotypes showed a significant correlation with V2 /F (P<.01). C0 -C2 and C0 -C2 -C4 were shown to be suitable for the estimation of AUC in Chinese liver transplant patients. WHAT IS NEW AND CONCLUSION A PPK model for TAC was established successfully in Chinese liver transplant patients. POD, CLcr and ABCB1 C3435T genotypes were shown to have significant effects on CL/F. The AUC of TAC in Chinese liver transplant patients could be estimated through Bayesian modelling, based on which individualized immunosuppressive regimens can be designed.
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Affiliation(s)
- B Chen
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H-Q Shi
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - X-X Liu
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - W-X Zhang
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J-Q Lu
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - B-M Xu
- Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Chen
- Organ Transplantation Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Helal M, Obada M, Elrazek WA, Safan M, El-Hakim TA, El-Said H. Effect of ABCB1 (3435C>T) and CYP3A5 (6986A>G) genes polymorphism on tacrolimus concentrations and dosage requirements in liver transplant patients. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2017. [DOI: 10.1016/j.ejmhg.2016.10.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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He XZ, Ma JJ, Wang HQ, Hu TM, Sun B, Gao YF, Liu SB, Wang W, Wang P. Brain injury in combination with tacrolimus promotes the regeneration of injured peripheral nerves. Neural Regen Res 2017; 12:987-994. [PMID: 28761434 PMCID: PMC5514876 DOI: 10.4103/1673-5374.208595] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Both brain injury and tacrolimus have been reported to promote the regeneration of injured peripheral nerves. In this study, before transection of rat sciatic nerve, moderate brain contusion was (or was not) induced. After sciatic nerve injury, tacrolimus, an immunosuppressant, was (or was not) intraperitoneally administered. At 4, 8 and 12 weeks after surgery, Masson's trichrome, hematoxylin-eosin, and toluidine blue staining results revealed that brain injury or tacrolimus alone or their combination alleviated gastrocnemius muscle atrophy and sciatic nerve fiber impairment on the experimental side, simultaneously improved sciatic nerve function, and increased gastrocnemius muscle wet weight on the experimental side. At 8 and 12 weeks after surgery, brain injury induction and/or tacrolimus treatment increased action potential amplitude in the sciatic nerve trunk. Horseradish peroxidase retrograde tracing revealed that the number of horseradish peroxidase-positive neurons in the anterior horn of the spinal cord was greatly increased. Brain injury in combination with tacrolimus exhibited better effects on repair of injured peripheral nerves than brain injury or tacrolimus alone. This result suggests that brain injury in combination with tacrolimus promotes repair of peripheral nerve injury.
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Affiliation(s)
- Xin-Ze He
- Department of Hand and Foot Surgery, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China.,Binzhou Central Hospital, Binzhou, Shandong Province, China
| | - Jian-Jun Ma
- Postgraduate School, Chengde Medical College, Chengde, Hebei Province, China
| | - Hao-Qi Wang
- Postgraduate School, Chengde Medical College, Chengde, Hebei Province, China
| | - Tie-Min Hu
- Department of Neurosurgery, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China
| | - Bo Sun
- Department of Hand and Foot Surgery, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China
| | - Yun-Feng Gao
- Department of Hand and Foot Surgery, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China
| | - Shi-Bo Liu
- Department of Hand and Foot Surgery, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China
| | - Wei Wang
- Department of Hand and Foot Surgery, the First Hospital of Qinhuangdao, Qinhuangdao, Hebei Province, China
| | - Pei Wang
- Department of Hand and Foot Surgery, Affiliated Hospital of Chengde Medical College, Chengde, Hebei Province, China
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Brooks E, Tett SE, Isbel NM, Staatz CE. Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet? Clin Pharmacokinet 2016; 55:1295-1335. [DOI: 10.1007/s40262-016-0396-1] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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