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Bao S, Yang S, Hua Z, Li J, Zang Y, Li X. Ziprasidone population pharmacokinetics and co-medication effects in Chinese patients. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024:10.1007/s00210-024-03244-y. [PMID: 38918237 DOI: 10.1007/s00210-024-03244-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 06/17/2024] [Indexed: 06/27/2024]
Abstract
Ziprasidone is widely used in the treatment of psychiatric disorders. Despite its prevalence, there is a notable lack of population pharmacokinetics (PPK) studies on ziprasidone in serum, both domestically and internationally. This study aimed to comprehensively investigate the various factors influencing the PPK characteristics of Ziprasidone, thereby providing a scientific basis for personalized treatment strategies in clinical settings. This is a retrospective study. A non-linear mixed-effects modeling method was used for data analysis, with the ziprasidone PPK model established using the Phoenix NLME 8.1 software. Model evaluation employed goodness-of-fit plots, visual predictive checks, and Bootstrap methods to ensure reliability and accuracy. To further validate the model's applicability, data from an additional 30 patients meeting the same inclusion criteria but not included in the final model were collected for external validation. Simulations were performed to explore the personalized dosage regimens. This retrospective analysis collected 547 drug concentration data points from 185 psychiatric disorder patients, along with related medical records. The data included detailed demographic information (such as age, gender, weight), dosing regimens, laboratory test results, and concomitant medication details. In the final model, Ka was fixed at 0.5 h-1 based on literature, and the population typical values for ziprasidone clearance (CL) and volume of distribution (V) were 18.74 L/h and 110.24 L, respectively. Co-administration of lorazepam and valproic acid significantly influenced the clearance of ziprasidone. Moreover, the model evaluation indicated good stability and predictive accuracy. A simple to use dosage regimen table was derived based on the results of simulations. This study successfully established and validated a PPK model for ziprasidone in Chinese patients with psychiatric disorders. The model provides a scientific reference for individualized dosing of ziprasidone and holds the potential to optimize treatment strategies, thereby enhancing therapeutic efficacy and safety.
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Affiliation(s)
- Shuang Bao
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China
- Department of Pharmacy, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Hutong, Xicheng District, Beijing, 100088, China
| | - Siyu Yang
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China
| | - Zixin Hua
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China
| | - Jiqian Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China
| | - Yannan Zang
- Department of Pharmacy, Beijing Anding Hospital, Capital Medical University, No. 5 Ankang Hutong, Xicheng District, Beijing, 100088, China
| | - Xingang Li
- Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, China.
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2
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Li X, Sabbatini D, Pegoraro E, Bello L, Clemens P, Guglieri M, van den Anker J, Damsker J, McCall J, Dang UJ, Hoffman EP, Jusko WJ. Assessing Pharmacogenomic loci Associated with the Pharmacokinetics of Vamorolone in Boys with Duchenne Muscular Dystrophy. J Clin Pharmacol 2024. [PMID: 38682893 DOI: 10.1002/jcph.2446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/27/2024] [Indexed: 05/01/2024]
Abstract
Human genetic variation (polymorphisms) in genes coding proteins involved in the absorption, distribution, metabolism, and elimination (ADME) of drugs can have a strong effect on drug exposure and downstream efficacy and safety outcomes. Vamorolone, a dissociative steroidal anti-inflammatory drug for treating Duchenne muscular dystrophy (DMD), primarily undergoes oxidation by CYP3A4 and CYP3A5 and glucuronidation by UDP-glucuronosyltransferases. This work assesses the pharmacokinetics (PKs) of vamorolone and sources of interindividual variability (IIV) in 81 steroid-naïve boys with DMD aged 4 to <7 years old considering the genetic polymorphisms of CYPS3A4 (CYP3A4*22, CYP3A4*1B), CYP3A5 (CYP3A5*3), and UGT1A1 (UGT1A1*60) utilizing population PK modeling. A one-compartment model with zero-order absorption (Tk0, duration of absorption), linear clearance (CL/F), and volume (V/F) describes the plasma PK data for boys with DMD receiving a wide range of vamorolone doses (0.25-6 mg/kg/day). The typical CL/F and V/F values of vamorolone were 35.8 L/h and 119 L, with modest IIV. The population Tk0 was 3.14 h yielding an average zero-order absorption rate (k0) of 1.16 mg/kg/h with similar absorption kinetics across subjects at the same vamorolone dose (i.e., no IIV on Tk0). The covariate analysis showed that none of the genetic covariates had any significant impact on the PKs of vamorolone in boys with DMD. Thus, the PKs of vamorolone is very consistent in these young boys with DMD.
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Affiliation(s)
- Xiaonan Li
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Elena Pegoraro
- Department of Neurosciences, University of Padova, Padua, Italy
| | - Luca Bello
- Department of Neurosciences, University of Padova, Padua, Italy
| | - Paula Clemens
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michela Guglieri
- John Walton Centre for Neuromuscular Disease, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, UK
| | - John van den Anker
- Division of Clinical Pharmacology, Children's National Hospital, Washington, DC, USA
- ReveraGen BioPharma, Rockville, MD, USA
| | | | | | - Utkarsh J Dang
- Department of Health Sciences, Carleton University, Ottawa, Canada
| | - Eric P Hoffman
- ReveraGen BioPharma, Rockville, MD, USA
- Department of Pharmaceutical Sciences, Binghamton University, State University of New York, Binghamton, NY, USA
| | - William J Jusko
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
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Abderahmene A, Francke MI, Andrews LM, Hesselink DA, Amor D, Sahtout W, Ajmi M, Mastouri H, Bouslama A, Zellama D, Omezzine A, De Winter BCM. A Population Pharmacokinetic Model to Predict the Individual Starting Dose of Tacrolimus for Tunisian Adults after Renal Transplantation. Ther Drug Monit 2024; 46:57-66. [PMID: 38018879 DOI: 10.1097/ftd.0000000000001147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/23/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND Tacrolimus is the most frequently used immunosuppressive drug for preventing renal rejection. However, its use is hampered by its narrow therapeutic index and large intra and interpatient variability in pharmacokinetics. The objective of this study was to externally validate a tacrolimus population pharmacokinetic model developed for the Dutch population and adjust the model for the Tunisian population for use in predicting the starting dose requirement after kidney transplantation. METHODS Data on tacrolimus exposure were obtained from kidney transplant recipients (KTRs) during the first 3 months post-transplantation. External validation of the Dutch model and its adjustment for the Tunisian population was performed using nonlinear mixed-effects modeling. RESULTS In total, 1901 whole-blood predose tacrolimus concentrations from 196 adult KTRs were analyzed. According to a visual predictive check, the Dutch model underestimated the starting dose for the Tunisian adult population. The effects of age, together with the CYP3A5*3 and CYP3A4*22 genotypes on tacrolimus clearance were significantly different in the Tunisian population than in the Dutch population. Based on a bodyweight-based dosing, only 21.9% of tacrolimus concentrations were within the target range, whereas this was estimated to be 54.0% with the newly developed model-based dosing. After adjustment, the model was successfully validated internally in a Tunisian population. CONCLUSIONS A starting-dose population pharmacokinetic model of tacrolimus for Tunisian KTRs was developed based on a previously published Dutch model. Using this starting dose could potentially increase the percentage of patients achieving target tacrolimus concentrations after the initial starting dose.
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Affiliation(s)
- Amani Abderahmene
- Department of Biochemistry , LR12SP11, Sahloul University Hospital, Sousse, University of Monastir Faculty of Pharmacy of Monastir, Monastir, Tunisia
- Rotterdam Clinical Pharmacometrics Group, Rotterdam, the Netherlands
| | - Marith I Francke
- Rotterdam Clinical Pharmacometrics Group, Rotterdam, the Netherlands
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Erasmus MC Transplant Institute, Rotterdam, the Netherlands
| | - Louise M Andrews
- Department of Hospital Pharmacy, Meander MC, Amersfoort, the Netherlands
| | - Dennis A Hesselink
- Division of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Erasmus MC Transplant Institute, Rotterdam, the Netherlands
| | - Dorra Amor
- Department of Biochemistry , LR12SP11, Sahloul University Hospital, Sousse, University of Monastir Faculty of Pharmacy of Monastir, Monastir, Tunisia
| | - Wissal Sahtout
- Department of Nephrology, Sahloul University Hospital, Sousse, Tunisia; and
| | - Marwa Ajmi
- Department of Biochemistry , LR12SP11, Sahloul University Hospital, Sousse, University of Monastir Faculty of Pharmacy of Monastir, Monastir, Tunisia
| | - Hayfa Mastouri
- Department of Biochemistry , LR12SP11, Sahloul University Hospital, Sousse, University of Monastir Faculty of Pharmacy of Monastir, Monastir, Tunisia
| | - Ali Bouslama
- Department of Biochemistry , LR12SP11, Sahloul University Hospital, Sousse, University of Monastir Faculty of Pharmacy of Monastir, Monastir, Tunisia
| | - Dorsaf Zellama
- Department of Nephrology, Sahloul University Hospital, Sousse, Tunisia; and
| | - Asma Omezzine
- Department of Biochemistry , LR12SP11, Sahloul University Hospital, Sousse, University of Monastir Faculty of Pharmacy of Monastir, Monastir, Tunisia
| | - Brenda C M De Winter
- Rotterdam Clinical Pharmacometrics Group, Rotterdam, the Netherlands
- Erasmus MC Transplant Institute, Rotterdam, the Netherlands
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, the Netherlands
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Turolo S, Edefonti A, Syren ML, Montini G. Pharmacogenomics of Old and New Immunosuppressive Drugs for Precision Medicine in Kidney Transplantation. J Clin Med 2023; 12:4454. [PMID: 37445489 DOI: 10.3390/jcm12134454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/16/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Kidney transplantation is the preferred therapeutic option for end-stage kidney disease, but, despite major therapeutic advancements, allograft rejection continues to endanger graft survival. Every patient is unique due to his or her clinical history, drug metabolism, genetic background, and epigenetics. For this reason, examples of "personalized medicine" and "precision medicine" have steadily increased in recent decades. The final target of precision medicine is to maximize drug efficacy and minimize toxicity for each individual patient. Immunosuppressive drugs, in the setting of kidney transplantation, require a precise dosage to avoid either adverse events (overdosage) or a lack of efficacy (underdosage). In this review, we will explore the knowledge regarding the pharmacogenomics of the main immunosuppressive medications currently utilized in kidney transplantation. We will focus on clinically relevant pharmacogenomic data, that is, the polymorphisms of the genes that metabolize immunosuppressive drugs.
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Affiliation(s)
- Stefano Turolo
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Pediatric Nephrology, Dialysis and Transplant Unit, 20122 Milan, Italy
| | - Alberto Edefonti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Pediatric Nephrology, Dialysis and Transplant Unit, 20122 Milan, Italy
| | - Marie Luise Syren
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Giovanni Montini
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Pediatric Nephrology, Dialysis and Transplant Unit, 20122 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
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5
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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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Cheng F, Li Q, Wang J, Hu M, Zeng F, Wang Z, Zhang Y. Genetic Polymorphisms Affecting Tacrolimus Metabolism and the Relationship to Post-Transplant Outcomes in Kidney Transplant Recipients. Pharmgenomics Pers Med 2021; 14:1463-1474. [PMID: 34824543 PMCID: PMC8610755 DOI: 10.2147/pgpm.s337947] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/10/2021] [Indexed: 12/28/2022] Open
Abstract
Background Tacrolimus is a key drug in kidney transplantation with a narrow therapeutic index. However, whether tacrolimus exposure variability affects clinical outcomes and adverse reactions remains unknown. Objective Our study investigated the factors that influence tacrolimus exposure in kidney transplantation recipients and the relationship between tacrolimus concentration and clinical outcomes and adverse reactions. Settings and Methods We examined the effect of tacrolimus concentration on clinical outcomes and adverse reactions in 201 kidney transplantation recipients, and identified clinical and pharmacogenetic factors that explain tacrolimus exposure. Results The CYP3A5 genotype was clearly associated with dose-adjusted trough blood tacrolimus concentrations (C0/D), whereas no significant difference was observed in patients with the CYP3A4*1B, CYP3A4*22, ABCB1, ABCC2, POR*28 or PXR alleles. Clinical factors such as red blood cell count, hemoglobin, and albumin were the most useful influence factors affecting tacrolimus C0/D. Besides, Wuzhi capsule increased tacrolimus C0/D in kidney transplantation recipients. Furthermore, higher tacrolimus concentrations were associated with higher diarrhea and post-transplant diabetes mellitus (PTDM) risk but not with acute rejection and chronic allograft kidney dysfunction. Conclusion Clinical factors, medication, and CYP-enzyme polymorphisms accounted for tacrolimus concentration variability in kidney transplantation recipients. Furthermore, higher tacrolimus concentrations were associated with higher diarrhea and PTDM risk.
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Affiliation(s)
- Fang Cheng
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.,Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, 430022, People's Republic of China
| | - Qiang Li
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.,Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, 430022, People's Republic of China
| | - Jinglin Wang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.,Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, 430022, People's Republic of China
| | - Min Hu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.,Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, 430022, People's Republic of China
| | - Fang Zeng
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.,Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, 430022, People's Republic of China
| | - Zhendi Wang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China
| | - Yu Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.,Hubei Province Clinical Research Center for Precision Medicine for Critical Illness, Wuhan, 430022, People's Republic of China
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Furuse M, Hosomi S, Nishida Y, Itani S, Nadatani Y, Fukunaga S, Otani K, Tanaka F, Nagami Y, Taira K, Kamata N, Watanabe T, Watanabe K, Fujiwara Y. The impact of cytochrome P450 3A genetic polymorphisms on tacrolimus pharmacokinetics in ulcerative colitis patients. PLoS One 2021; 16:e0250597. [PMID: 33886687 PMCID: PMC8062093 DOI: 10.1371/journal.pone.0250597] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 04/09/2021] [Indexed: 12/17/2022] Open
Abstract
Tacrolimus (Tac) is an effective remission inducer of refractory ulcerative colitis (UC). Gene polymorphisms result in interindividual variability in Tac pharmacokinetics. In this study, we aimed to examine the relationships between gene polymorphisms and the metabolism, pharmacokinetics, and therapeutic effects of Tac in patients with UC. Forty-five patients with moderate-to-severe refractory UC treated with Tac were retrospectively enrolled. Genotyping for cytochrome P450 (CYP) 3A4*1G, CYP3A5*3, CYP2C19*2, CYP2C19*3, nuclear receptor subfamily 1 group I member 2 (NR1I2)–25385C>T, ATP-binding cassette subfamily C member 2 (ABCC2)–24C>T, ABCC2 1249G>A, and ABCC2 3972C>T was performed. Concentration/dose (C/D) ratio, clinical therapeutic effects, and adverse events were evaluated. The C/D ratio of Tac in UC patients with the CYP3A4*1G allele was statistically lower than in those with the CYP3A4*1/*1 allele (P = 0.005) and significantly lower in patients with CYP3A5*3/*3 than in those with CYP3A5*1 (P < 0.001). Among patients with the CYP3A4*1G allele, the C/D ratio was significantly lower in patients with CYP3A5*1 than in those with CYP3A5*3/*3 (P = 0.001). Patients with the NR1I2–25385C/C genotype presented significantly more overall adverse events than those with the C/T or T/T genotype (P = 0.03). Although CYP3A4*1G and CYP3A5*3 polymorphisms were related to Tac pharmacokinetics, CYP3A5 presented a stronger effect than CYP3A4. The NR1I2–25385C/C genotype was related to the overall adverse events. The evaluation of these polymorphisms could be useful in the treatment of UC with Tac.
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Affiliation(s)
- Maizumi Furuse
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shuhei Hosomi
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
- * E-mail:
| | - Yu Nishida
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shigehiro Itani
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yuji Nadatani
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shusei Fukunaga
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Koji Otani
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Fumio Tanaka
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yasuaki Nagami
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Koichi Taira
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Noriko Kamata
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Toshio Watanabe
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kenji Watanabe
- Department of Center for Inflammatory Bowel Disease, Division of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Yasuhiro Fujiwara
- Department of Gastroenterology, Osaka City University Graduate School of Medicine, Osaka, Japan
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Degraeve AL, Moudio S, Haufroid V, Chaib Eddour D, Mourad M, Bindels LB, Elens L. Predictors of tacrolimus pharmacokinetic variability: current evidences and future perspectives. Expert Opin Drug Metab Toxicol 2020; 16:769-782. [PMID: 32721175 DOI: 10.1080/17425255.2020.1803277] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
INTRODUCTION In kidney transplantation, tacrolimus (TAC) is at the cornerstone of current immunosuppressive strategies. Though because of its narrow therapeutic index, it is critical to ensure that TAC levels are maintained within this sharp window through reactive adjustments. This would allow maximizing efficiency while limiting drug-associated toxicity. However, TAC high intra- and inter-patient pharmacokinetic (PK) variability makes it more laborious to accurately predict the appropriate dosage required for a given patient. AREAS COVERED This review summarizes the state-of-the-art knowledge regarding drug interactions, demographic and pharmacogenetics factors as predictors of TAC PK. We provide a scoring index for each association to grade its relevance and we present practical recommendations, when possible for clinical practice. EXPERT OPINION The management of TAC concentration in transplanted kidney patients is as critical as it is challenging. Recommendations based on rigorous scientific evidences are lacking as knowledge of potential predictors remains limited outside of DDIs. Awareness of these limitations should pave the way for studies looking at demographic and pharmacogenetic factors as well as gut microbiota composition in order to promote tailored treatment plans. Therapeutic approaches considering patients' clinical singularities may help allowing to maintain appropriate concentration of TAC.
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Affiliation(s)
- Alexandra L Degraeve
- Integrated Pharmacometrics, Pharmacogenomics and Pharmacokinetics (PMGK), Louvain Drug Research Institute (LDRI), Université Catholique De Louvain , Brussels, Belgium.,Metabolism and Nutrition Research Group (Mnut), Louvain Drug Research Institute (LDRI), Université Catholique De Louvain , Brussels, Belgium
| | - Serge Moudio
- Integrated Pharmacometrics, Pharmacogenomics and Pharmacokinetics (PMGK), Louvain Drug Research Institute (LDRI), Université Catholique De Louvain , Brussels, Belgium.,Louvain Centre for Toxicology and Applied Pharmacology (LTAP), Institut De Recherche Expérimentale Et Clinique (IREC), Université Catholique De Louvain , Brussels, Belgium
| | - Vincent Haufroid
- Louvain Centre for Toxicology and Applied Pharmacology (LTAP), Institut De Recherche Expérimentale Et Clinique (IREC), Université Catholique De Louvain , Brussels, Belgium.,Department of Clinical Chemistry, Cliniques Universitaires Saint-Luc , Brussels, Belgium
| | - Djamila Chaib Eddour
- Kidney and Pancreas Transplantation Unit, Cliniques Universitaires Saint-Luc , Brussels, Belgium
| | - Michel Mourad
- Kidney and Pancreas Transplantation Unit, Cliniques Universitaires Saint-Luc , Brussels, Belgium
| | - Laure B Bindels
- Metabolism and Nutrition Research Group (Mnut), Louvain Drug Research Institute (LDRI), Université Catholique De Louvain , Brussels, Belgium
| | - Laure Elens
- Integrated Pharmacometrics, Pharmacogenomics and Pharmacokinetics (PMGK), Louvain Drug Research Institute (LDRI), Université Catholique De Louvain , Brussels, Belgium.,Louvain Centre for Toxicology and Applied Pharmacology (LTAP), Institut De Recherche Expérimentale Et Clinique (IREC), Université Catholique De Louvain , Brussels, Belgium
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