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Setiawan E, Cotta MO, Roberts JA, Abdul-Aziz MH. A Systematic Review on Antimicrobial Pharmacokinetic Differences between Asian and Non-Asian Adult Populations. Antibiotics (Basel) 2023; 12:antibiotics12050803. [PMID: 37237706 DOI: 10.3390/antibiotics12050803] [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: 03/14/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 05/28/2023] Open
Abstract
While the relevance of inter-ethnic differences to the pharmacokinetic variabilities of antimicrobials has been reported in studies recruiting healthy subjects, differences in antimicrobial pharmacokinetics between Asian and non-Asian patients with severe pathologic conditions require further investigation. For the purpose of describing the potential differences in antimicrobial pharmacokinetics between Asian and non-Asian populations, a systematic review was performed using six journal databases and six theses/dissertation databases (PROSPERO record CRD42018090054). The pharmacokinetic data of healthy volunteers and non-critically ill and critically ill patients were reviewed. Thirty studies on meropenem, imipenem, doripenem, linezolid, and vancomycin were included in the final descriptive summaries. In studies recruiting hospitalised patients, inconsistent differences in the volume of distribution (Vd) and drug clearance (CL) of the studied antimicrobials between Asian and non-Asian patients were observed. Additionally, factors other than ethnicity, such as demographic (e.g., age) or clinical (e.g., sepsis) factors, were suggested to better characterise these pharmacokinetic differences. Inconsistent differences in pharmacokinetic parameters between Asian and non-Asian subjects/patients may suggest that ethnicity is not an important predictor to characterise interindividual pharmacokinetic differences between meropenem, imipenem, doripenem, linezolid, and vancomycin. Therefore, the dosing regimens of these antimicrobials should be adjusted according to patients' demographic or clinical characteristics that can better describe pharmacokinetic differences.
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Affiliation(s)
- Eko Setiawan
- University of Queensland Centre for Clinical Research [UQCCR], Faculty of Medicine, The University of Queensland, Brisbane 4006, Australia
- Department of Clinical and Community Pharmacy, Center for Medicines Information and Pharmaceutical Care [CMIPC], Faculty of Pharmacy, University of Surabaya, Surabaya 60293, Indonesia
| | - Menino Osbert Cotta
- University of Queensland Centre for Clinical Research [UQCCR], Faculty of Medicine, The University of Queensland, Brisbane 4006, Australia
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research [UQCCR], Faculty of Medicine, The University of Queensland, Brisbane 4006, Australia
- Departments of Pharmacy and Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30029 Nîmes, France
| | - Mohd Hafiz Abdul-Aziz
- University of Queensland Centre for Clinical Research [UQCCR], Faculty of Medicine, The University of Queensland, Brisbane 4006, Australia
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2
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Shi B, Liu Y, Liu D, Yuan L, Guo W, Wen P, Su Z, Wang J, Xu S, Xia J, An W, Wang R, Wen P, Xing T, Zhang J, Gu H, Wang Z, Zhong L, Fan J, Li H, Zhang W, Peng Z. Genotype-guided model significantly improves accuracy of tacrolimus initial dosing after liver transplantation. EClinicalMedicine 2023; 55:101752. [PMID: 36444212 PMCID: PMC9700266 DOI: 10.1016/j.eclinm.2022.101752] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 10/31/2022] [Accepted: 11/01/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The initial dose of tacrolimus after liver transplantation (LT) is critical for rapidly achieving the steady state of the drug concentration, minimizing the potential adverse reactions and warranting long-term patient prognosis. We aimed to develop and validate a genotype-guided model for determining personalized initial dose of tacrolimus. METHODS By combining pharmacokinetic modeling, pharmacogenomic analysis and multiple statistical methods, we developed a genotype-guided model to predict individualized tacrolimus initial dose after LT in the discovery (n = 150) and validation cohorts (n = 97) respectively. This model was further validated in a prospective, randomized and single-blind clinical trial from August, 2021 to February, 2022 (n = 40, ChiCTR2100050288). FINDINGS Our model included donor's and recipient's genotypes, recipient's weight and total bilirubin, which achieved an area under the curve of receiver operating characteristic curve (AUC of ROC) of 0.88 and 0.79 in the discovery and validation cohorts, respectively. We found that patients who were given tacrolimus within the recommended concentration range (RCR) (4-10 ng/mL), the new-onset metabolic syndromes are lower, especially for new-onset diabetes (p = 0.043). In the clinical trial, compared to those in experience-based (EB) group, patients in the model-based (MB) group were more likely to achieving the RCR (75% vs 40%, p = 0.025) with a more variable individualized dose (0.023-0.096 mg/kg/day vs 0.045-0.057 mg/kg/day). Moreover, significantly fewer medication adjustments were required for the MB group than the EB group (2.75 ± 2.01 vs 6.05 ± 3.35, p = 0.001). INTERPRETATION Our genotype-based model significantly improved the initial dosing accuracy of tacrolimus and reduced the number of medication adjustments, which are critical for improving the prognosis of LT patients. FUNDING National Natural Science Foundation of China, Shanghai three-year action plan, National Science and Technology Major Project of China.
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Affiliation(s)
- Baojie Shi
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Yuan Liu
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
| | - Dehua Liu
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Liyun Yuan
- Bio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 200031, Shanghai, China
| | - Wenzhi Guo
- Department of General Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Peihao Wen
- Department of General Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China
| | - Zhaojie Su
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Jie Wang
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Shiquan Xu
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Junjie Xia
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Wenbin An
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Rui Wang
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Peizhen Wen
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
| | - Tonghai Xing
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
| | - Jinyan Zhang
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
| | - Haitao Gu
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
| | - Zhaowen Wang
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
| | - Lin Zhong
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
| | - Junwei Fan
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University, 200080, Shanghai, China
- Corresponding author.
| | - Hao Li
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Corresponding author.
| | - Weituo Zhang
- Hongqiao International Institute of Medicine, Shanghai Tong Ren Hospital and Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, 200050, Shanghai, China
- Corresponding author.
| | - Zhihai Peng
- Organ Transplantation Clinical Medical Center of Xiamen University, Department of Organ Transplantation, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, 361005, Fujian, China
- Corresponding author.
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Budde K, Rostaing L, Maggiore U, Piotti G, Surace D, Geraci S, Procaccianti C, Nicolini G, Witzke O, Kamar N, Albano L, Büchler M, Pascual J, Gutiérrez-Dalmau A, Kuypers D, Wekerle T, Głyda M, Carmellini M, Tisone G, Midtvedt K, Wennberg L, Grinyó JM. Prolonged-Release Once-Daily Formulation of Tacrolimus Versus Standard-of-Care Tacrolimus in de novo Kidney Transplant Patients Across Europe. Transpl Int 2022; 35:10225. [PMID: 36017158 PMCID: PMC9397503 DOI: 10.3389/ti.2021.10225] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/27/2021] [Indexed: 11/24/2022]
Abstract
Background: Tacrolimus is the calcineurin inhibitor of choice for preventing acute rejection episodes in kidney transplant patients. However, tacrolimus has a narrow therapeutic range that requires regular monitoring of blood concentrations to minimize toxicity. A new once-daily tacrolimus formulation, LCP-tacrolimus (LCPT), has been developed, which uses MeltDose™ drug-delivery technology to control drug release and enhance overall bioavailability. Our study compared dosing of LCPT with current standard-of-care tacrolimus [immediate-release tacrolimus (IR-Tac) or prolonged-release tacrolimus (PR-Tac)] during the 6 months following de novo kidney transplantation. Comparisons of graft function, clinical outcomes, safety, and tolerability for LCPT versus IR-Tac/PR-Tac were also performed. Methods: Standard immunological risk patients with end-stage renal disease who had received a de novo kidney transplant were randomized (1:1) to LCPT (N = 200) or IR-Tac/PR-Tac (N = 201). Results: Least squares (LS) mean tacrolimus total daily dose from Week 3 to Month 6 was significantly lower for LCPT than for IR-Tac/PR-Tac. Although LS mean tacrolimus trough levels were significantly higher for LCPT than IR-Tac/PR-Tac, tacrolimus trough levels remained within the standard reference range for most patients. There were no differences between the groups in treatment failure measures or safety profile. Conclusion: LCPT can achieve similar clinical outcomes to other tacrolimus formulations, with a lower daily dose. Clinical Trial Registration:https://clinicaltrials.gov/, identifier NCT02432833.
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Affiliation(s)
- Klemens Budde
- Department of Nephrology, Charité Universitätsmedizin Berlin, Berlin, Germany
- *Correspondence: Klemens Budde,
| | - Lionel Rostaing
- Service de Néphrologie, Dialyse, Aphérèses et Transplantation, CHU Grenoble Alpes, Grenoble, France
| | - Umberto Maggiore
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | | | | | | | | | | - Oliver Witzke
- Department of Infectious Diseases, West German Centre of Infectious Diseases, Universitätsmedizin Essen, University of Duisburg-Essen, Essen, Germany
| | - Nassim Kamar
- Departments of Nephrology and Organ Transplantation, CHU Rangueil, INSERM U1043, IFR–BMT, Université Paul Sabatier, Toulouse, France
| | - Laetitia Albano
- Unité de Transplantation Rénale, Hôpital Pasteur 2, CHU Nice, Nice, France
| | - Matthias Büchler
- Service de Néphrologie et Transplantation Rénale, CHRU de Tours, Tours, France
| | - Julio Pascual
- Department of Nephrology, Hospital del Mar, Barcelona, Spain
| | - Alex Gutiérrez-Dalmau
- Department of Nephrology, Hospital Universitario Miguel Servet, IIS Aragón, Zaragoza, Spain
| | - Dirk Kuypers
- Department of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium
| | - Thomas Wekerle
- Department of Surgery, Medical University of Vienna, Vienna, Austria
| | - Maciej Głyda
- Department of Transplantology, Surgery and Urology, District Hospital, Poznan, Poland, and Nicolaus Copernicus University Collegium Medicum, Bydgoszcz, Poland
| | - Mario Carmellini
- Department of Surgery and Bioengineering, University of Siena, Siena, Italy
| | | | - Karsten Midtvedt
- Department of Transplant Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - Lars Wennberg
- Department of Transplantation Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - Josep M. Grinyó
- Department of Nephrology, Hospital Universitari de Bellvitge, University of Barcelona, Barcelona, Spain
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4
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Yousif E, Abdelwahab A. Post-transplant Diabetes Mellitus in Kidney Transplant Recipients in Sudan: A Comparison Between Tacrolimus and Cyclosporine-Based Immunosuppression. Cureus 2022; 14:e22285. [PMID: 35350492 PMCID: PMC8932594 DOI: 10.7759/cureus.22285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2022] [Indexed: 11/05/2022] Open
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5
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Tornatore KM, Meaney CJ, Attwood K, Brazeau DA, Wilding GE, Consiglio JD, Gundroo A, Chang SS, Gray V, Cooper LM, Venuto RC. Race and sex associations with tacrolimus pharmacokinetics in stable kidney transplant recipients. Pharmacotherapy 2022; 42:94-105. [PMID: 35103348 PMCID: PMC9020367 DOI: 10.1002/phar.2656] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 11/22/2022]
Abstract
Study Objective This study investigated race and sex differences in tacrolimus pharmacokinetics and pharmacodynamics in stable kidney transplant recipients. Design and Setting A cross‐sectional, open‐label, single center, 12‐h pharmacokinetic‐pharmacodynamic study was conducted. Tacrolimus pharmacokinetic parameters included area under the concentration‐time curve (AUC0–12), AUC0–4, 12‐h troughs (C12 h), maximum concentrations (Cmax), oral clearance (Cl), with dose‐normalized AUC0–12, troughs, and Cmax with standardized adverse effect scores. Statistical models were used to analyze end points with individual covariate‐adjustment including clinical factors, genotypic variants CYP3A5*3, CYP3A5*6, CYP3A5*7(CYP3A5*3*6*7) metabolic composite, and ATP binding cassette gene subfamily B member 1 (ABCB1) polymorphisms. Patients 65 stable, female and male, Black and White kidney transplant recipients receiving tacrolimus and mycophenolic acid ≥6 months post‐transplant were evaluated. Measurements and Main Results Black recipients exhibited higher tacrolimus AUC0–12 (Race: p = 0.005), lower AUC* (Race: p < 0.001; Race × Sex: p = 0.068), and higher Cl (Race: p < 0.001; Sex: p = 0.066). Greater cumulative (Sex: p < 0.001; Race × Sex: p = 0.014), neurologic (Sex: p = 0.021; Race × Sex: p = 0.005), and aesthetic (Sex: p = 0.002) adverse effects were found in females, with highest scores in Black women. In 84.8% of Black and 68.8% of White patients, the target AUC0–12 was achieved (p = 0.027). In 31.3% of White and 9.1% of Black recipients, AUC0–12 was <100 ng‧h/ml despite tacrolimus troughs in the target range (p = 0.027). The novel CYP3A5*3*6*7 metabolic composite was the significant covariate accounting for 15%–19% of tacrolimus variability in dose (p = 0.002); AUC0–12 h* (p < 0.001), and Cl (p < 0.001). Conclusions Tacrolimus pharmacokinetics and adverse effects were different among stable kidney transplant recipient groups based upon race and sex with interpatient variability associated with the CYP3A5*3*6*7 metabolic composite. More cumulative, neurologic, and aesthetic adverse effects were noted among females. Tacrolimus regimens that consider race and sex may reduce adverse effects and enhance allograft outcomes by facilitating more patients to achieve the targeted AUC0–12 h.
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Affiliation(s)
- Kathleen M. Tornatore
- Immunosuppressive Pharmacology Research Program Translational Pharmacology Research Core NYS Center of Excellence in Bioinformatics & Life Sciences Buffalo New York USA
- Pharmacy School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
| | - Calvin J. Meaney
- Immunosuppressive Pharmacology Research Program Translational Pharmacology Research Core NYS Center of Excellence in Bioinformatics & Life Sciences Buffalo New York USA
- Pharmacy School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
| | - Kristopher Attwood
- Biostatistics School of Public Health and Health Professions Buffalo New York USA
| | - Daniel A. Brazeau
- Department of Biomedical Sciences Joan C Edwards School of Medicine Marshall University Huntington West Virginia USA
| | - Gregory E. Wilding
- Biostatistics School of Public Health and Health Professions Buffalo New York USA
| | - Joseph D. Consiglio
- Biostatistics School of Public Health and Health Professions Buffalo New York USA
| | - Aijaz Gundroo
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
- Erie County Medical Center Buffalo New York USA
| | - Shirley S. Chang
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
- Erie County Medical Center Buffalo New York USA
| | - Vanessa Gray
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
| | - Louise M. Cooper
- Immunosuppressive Pharmacology Research Program Translational Pharmacology Research Core NYS Center of Excellence in Bioinformatics & Life Sciences Buffalo New York USA
- Pharmacy School of Pharmacy and Pharmaceutical Sciences Buffalo New York USA
| | - Rocco C. Venuto
- Nephrology Division Medicine School of Medicine and Biomedical Sciences Buffalo New York USA
- Erie County Medical Center Buffalo New York USA
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Radhakrishnan A, Kuppusamy G, Ponnusankar S, Mutalik S. Towards next-generation personalization of tacrolimus treatment: a review on advanced diagnostic and therapeutic approaches. Pharmacogenomics 2021; 22:1151-1175. [PMID: 34719935 DOI: 10.2217/pgs-2021-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
The benefit of personalized medicine is that it allows the customization of drug therapy - maximizing efficacy while avoiding side effects. Genetic polymorphisms are one of the major contributors to interindividual variability. Currently, the only gold standard for applying personalized medicine is dose titration. Because of technological advancements, converting genotypic data into an optimum dose has become easier than in earlier years. However, for many medications, determining a personalized dose may be difficult, leading to a trial-and-error method. On the other hand, the technologically oriented pharmaceutical industry has a plethora of smart drug delivery methods that are underutilized in customized medicine. This article elaborates the genetic polymorphisms of tacrolimus as case study, and extensively covers the diagnostic and therapeutic technologies which aid in the delivery of personalized tacrolimus treatment for better clinical outcomes, thereby providing a new strategy for implementing personalized medicine.
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Affiliation(s)
- Arun Radhakrishnan
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamilnadu, India
| | - Gowthamarajan Kuppusamy
- Department of Pharmaceutics, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamilnadu, India
| | - Sivasankaran Ponnusankar
- Department of Pharmacy Practice, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamilnadu, India
| | - Srinivas Mutalik
- Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Karnataka, India
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Andrews LM, de Winter BCM, Cornelissen EAM, de Jong H, Hesselink DA, Schreuder MF, Brüggemann RJM, van Gelder T, Cransberg K. A Population Pharmacokinetic Model Does Not Predict the Optimal Starting Dose of Tacrolimus in Pediatric Renal Transplant Recipients in a Prospective Study: Lessons Learned and Model Improvement. Clin Pharmacokinet 2021; 59:591-603. [PMID: 31654367 PMCID: PMC7217818 DOI: 10.1007/s40262-019-00831-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background and Objective Bodyweight-based dosing of tacrolimus is considered standard care. Currently, at first steady state, a third of pediatric kidney transplant recipients has a tacrolimus pre-dose concentration within the target range. We investigated whether adaptation of the starting dose according to a validated dosing algorithm could increase this proportion. Methods This was a multi-center, single-arm, prospective trial with a planned interim analysis after 16 patients, in which the tacrolimus starting dose was based on bodyweight, cytochrome P450 3A5 genotype, and donor status (living vs. deceased donor). Results At the interim analysis, 31% of children had a tacrolimus pre-dose concentration within the target range. As the original dosing algorithm was poorly predictive of tacrolimus exposure, the clinical trial was terminated prematurely. Next, the original model was improved by including the data of the children included in this trial, thereby doubling the number of children in the model building cohort. Data were best described with a two-compartment model with inter-individual variability, allometric scaling, and inter-occasion variability on clearance. Cytochrome P450 3A5 genotype, hematocrit, and creatinine influenced the tacrolimus clearance. A new starting dose model was developed in which the cytochrome P450 3A5 genotype was incorporated. Both models were successfully internally and externally validated. Conclusions The weight-normalized starting dose of tacrolimus should be higher in patients with a lower bodyweight and in those who are cytochrome P450 3A5 expressers. Electronic supplementary material The online version of this article (10.1007/s40262-019-00831-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Louise M Andrews
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
| | - Brenda C M de Winter
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Elisabeth A M Cornelissen
- Department of Pediatric Nephrology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands
| | - Huib de Jong
- Department of Pediatric Nephrology, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Dennis A Hesselink
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Michiel F Schreuder
- Department of Pediatric Nephrology, Radboudumc Amalia Children's Hospital, Nijmegen, The Netherlands
| | | | - Teun van Gelder
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Karlien Cransberg
- Department of Pediatric Nephrology, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
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Tacrolimus Bayesian Dose Adjustment in Pediatric Renal Transplant Recipients. Ther Drug Monit 2021; 43:472-480. [PMID: 33149055 DOI: 10.1097/ftd.0000000000000828] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 10/06/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Immunosuppressant Bayesian Dose Adjustment (ISBA) is an online expert system that estimates the area under the curve (AUC) of immunosuppressive drugs through pharmacokinetic modelling and Bayesian estimation to propose dose adjustments to reach predefined exposure targets. The ISBA database was retrospectively analyzed to describe tacrolimus pharmacokinetics and exposure, evaluate the efficiency of ISBA dose recommendations, and propose tacrolimus AUC0-12h target ranges for pediatric renal allograft recipients treated with immediate release tacrolimus. METHODS The database included 1935 tacrolimus dose adjustment requests from 419 patients <19 years old who were treated with immediate-release tacrolimus and followed in 21 French hospitals. The tacrolimus exposure evolution with patient age and posttransplantation time, the correlation between trough tacrolimus concentration (C0) and AUC0-12h at different periods posttransplantation, and the efficiency of dose recommendations to avoid underexposure and overexposure and to decrease between-patient AUC variability were investigated. RESULTS Tacrolimus AUC showed large between-patient variability (CV% = 40%) but moderate within-patient variability (median = 24.3% over a 3-month period). Dose-standardized exposure but not the AUC/C0 ratio significantly decreased with time posttransplantation and patient age. We derived AUC0-12h ranges from the consensual C0 ranges using linear regression equations. When the ISBA recommended dose was applied, the AUC distribution was narrower and a significantly higher proportion was within the targets (P < 0.0001). CONCLUSIONS ISBA efficiently reduced tacrolimus underexposure and overexposure. The AUC0-12h target ranges for pediatric patients derived from the database were similar to those previously reported for adults. Estimating the AUC/C0 ratio could help determine personalized C0 targets.
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Brazeau DA, Attwood K, Meaney CJ, Wilding GE, Consiglio JD, Chang SS, Gundroo A, Venuto RC, Cooper L, Tornatore KM. Beyond Single Nucleotide Polymorphisms: CYP3A5∗3∗6∗7 Composite and ABCB1 Haplotype Associations to Tacrolimus Pharmacokinetics in Black and White Renal Transplant Recipients. Front Genet 2020; 11:889. [PMID: 32849848 PMCID: PMC7433713 DOI: 10.3389/fgene.2020.00889] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/20/2020] [Indexed: 12/12/2022] Open
Abstract
Interpatient variability in tacrolimus pharmacokinetics is attributed to metabolism by cytochrome P-450 3A5 (CYP3A5) isoenzymes and membrane transport by P-glycoprotein. Interpatient pharmacokinetic variability has been associated with genotypic variants for both CYP3A5 or ABCB1. Tacrolimus pharmacokinetics was investigated in 65 stable Black and Caucasian post-renal transplant patients by assessing the effects of multiple alleles in both CYP3A5 and ABCB1. A metabolic composite based upon the CYP3A5 polymorphisms: ∗3(rs776746), ∗6(10264272), and ∗7(41303343), each independently responsible for loss of protein expression was used to classify patients as extensive, intermediate and poor metabolizers. In addition, the role of ABCB1 on tacrolimus pharmacokinetics was assessed using haplotype analysis encompassing the single nucleotide polymorphisms: 1236C > T (rs1128503), 2677G > T/A(rs2032582), and 3435C > T(rs1045642). Finally, a combined analysis using both CYP3A5 and ABCB1 polymorphisms was developed to assess their inter-related influence on tacrolimus pharmacokinetics. Extensive metabolizers identified as homozygous wild type at all three CYP3A5 loci were found in 7 Blacks and required twice the tacrolimus dose (5.6 ± 1.6 mg) compared to Poor metabolizers [2.5 ± 1.1 mg (P < 0.001)]; who were primarily Whites. These extensive metabolizers had 2-fold faster clearance (P < 0.001) with 50% lower AUC∗ (P < 0.001) than Poor metabolizers. No differences in C12 h were found due to therapeutic drug monitoring. The majority of blacks (81%) were classified as either Extensive or Intermediate Metabolizers requiring higher tacrolimus doses to accommodate the more rapid clearance. Blacks who were homozygous for one or more loss of function SNPS were associated with lower tacrolimus doses and slower clearance. These values are comparable to Whites, 82% of who were in the Poor metabolic composite group. The ABCB1 haplotype analysis detected significant associations of the wildtype 1236T-2677T-3435T haplotype to tacrolimus dose (P = 0.03), CL (P = 0.023), CL/LBW (P = 0.022), and AUC∗ (P = 0.078). Finally, analysis combining CYP3A5 and ABCB1 genotypes indicated that the presence of the ABCB1 3435 T allele significantly reduced tacrolimus clearance for all three CPY3A5 metabolic composite groups. Genotypic associations of tacrolimus pharmacokinetics can be improved by using the novel composite CYP3A5∗3∗4∗5 and ABCB1 haplotypes. Consideration of multiple alleles using CYP3A5 metabolic composites and drug transporter ABCB1 haplotypes provides a more comprehensive appraisal of genetic factors contributing to interpatient variability in tacrolimus pharmacokinetics among Whites and Blacks.
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Affiliation(s)
- Daniel A Brazeau
- Department of Pharmacy Practice, Administration and Research, School of Pharmacy, Marshall University, Huntington, WV, United States
| | - Kristopher Attwood
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Calvin J Meaney
- Immunosuppressive Pharmacology Research Program, Translational Pharmacology Research Core, NYS Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, United States.,School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, United States
| | - Gregory E Wilding
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Joseph D Consiglio
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, United States
| | - Shirley S Chang
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.,Erie County Medical Center, Buffalo, NY, United States
| | - Aijaz Gundroo
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.,Erie County Medical Center, Buffalo, NY, United States
| | - Rocco C Venuto
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.,Erie County Medical Center, Buffalo, NY, United States
| | - Louise Cooper
- Immunosuppressive Pharmacology Research Program, Translational Pharmacology Research Core, NYS Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, United States.,School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, United States
| | - Kathleen M Tornatore
- Immunosuppressive Pharmacology Research Program, Translational Pharmacology Research Core, NYS Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY, United States.,School of Pharmacy and Pharmaceutical Sciences, Buffalo, NY, United States.,Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States
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10
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van Gelder T, Meziyerh S, Swen JJ, de Vries APJ, Moes DJAR. The Clinical Impact of the C 0/D Ratio and the CYP3A5 Genotype on Outcome in Tacrolimus Treated Kidney Transplant Recipients. Front Pharmacol 2020; 11:1142. [PMID: 32848756 PMCID: PMC7411304 DOI: 10.3389/fphar.2020.01142] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 07/13/2020] [Indexed: 01/08/2023] Open
Abstract
Tacrolimus is metabolized by CYP3A4 and CYP3A5 enzymes. Patients expressing CYP3A5 (in Caucasian patients about 15% of the population but more frequent in African Americans and Asians) have a dose requirement that is around 50% higher than non-expressers to reach the target concentration. CYP3A5 expressers can be considered fast metabolizers. The trough concentration/dose (C0/D) ratio of tacrolimus has recently been proposed as a prognostic marker for poor outcome after kidney transplantation. Patients with a low C0/D ratio (also referred to as fast metabolizers) seem to have more tacrolimus-related nephrotoxicity, more BK-viremia, and a lower graft survival. At first sight, the expression of CYP3A5 and a low C0/D ratio seem to be overlapping factors, both pointing towards patients in whom a higher tacrolimus dose is needed to reach the tacrolimus target concentration. However, there are important differences, and these differences may explain why the impact of the C0/D ratio on long term outcome is stronger than for CYP3A5 genotype status. Patients with a low C0/D ratio require a high tacrolimus dose and are exposed to high tacrolimus peak concentrations. The higher peak exposure to tacrolimus (and/or its metabolites) may explain the higher incidence of nephrotoxicity, BK-viremia and graft loss. A potential confounder is the concurrent maintenance treatment of corticosteroids, as steroids are sometimes continued in patients at high immunological risk. Steroids induce the metabolism of tacrolimus via pregnane X receptor mediated increased CYP3A4 expression, resulting in lower tacrolimus C0/D ratio in high risk patients. Also non-adherence may result in lower C0/D ratio which is also associated with poor outcome. The C0/D ratio of tacrolimus does seem to identify a group of patients with increased risk of poor outcome after kidney transplantation. Our recommendation is to monitor tacrolimus peak concentrations in these patients, and if these are high then target slightly lower pre-dose concentrations. Another possibility would be to switch to a prolonged release formulation or to dose the drug more frequently, in smaller doses, to avoid high peak concentrations.
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Affiliation(s)
- Teun van Gelder
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Soufian Meziyerh
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, Leiden, Netherlands.,Leiden Transplant Center, Leiden University Medical Center, Leiden, Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Aiko P J de Vries
- Department of Internal Medicine, Division of Nephrology, Leiden University Medical Center, Leiden, Netherlands.,Leiden Transplant Center, Leiden University Medical Center, Leiden, Netherlands
| | - Dirk Jan A R Moes
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, Netherlands
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11
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Suwelack B, Bunnapradist S, Meier-Kriesche U, Stevens DR, Procaccianti C, Morganti R, Budde K. Effect of Concentration/Dose Ratio in De Novo Kidney Transplant Recipients Receiving LCP-Tacrolimus or Immediate-Release Tacrolimus: Post Hoc Analysis of a Phase 3 Clinical Trial. Ann Transplant 2020; 25:e923278. [PMID: 32719307 PMCID: PMC7412936 DOI: 10.12659/aot.923278] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Background A previous phase 3 clinical trial in de novo adult kidney transplant recipients (NCT01187953) compared the efficacy and safety of once-daily LCP-tacrolimus (LCPT) and twice-daily immediate-release tacrolimus (IR-Tac). However, whether the rate of tacrolimus metabolism affects outcomes between LCPT and IR-Tac was not examined. Material/Methods Patients were initiated on 0.17 mg/kg/day LCPT or 0.1 mg/kg/day IR-Tac, with doses adjusted over time to maintain target therapeutic trough concentrations. This post hoc analysis examined dosing trends, relative efficacy, and safety of LCPT (n=247) and IR-Tac (n=249) in slow, intermediate, and rapid metabolizers as defined by concentration/dose ratios at day 30. Results For all metabolizer subgroups, minimum target tacrolimus trough concentrations were obtained more rapidly with LCPT than with IR-Tac. Slow metabolizers were more likely to exceed target trough concentrations with LCPT, while rapid metabolizers were more likely to fall below target trough concentrations with IR-Tac. Regardless of metabolizer status, significant differences were not detected between LCPT and IR-Tac for treatment failure, death, graft failure, biopsy-proven acute rejection, estimated glomerular filtration rate, or other clinical outcomes. Conclusions Although within metabolizer subgroups, attainment of target trough concentrations in the first week differed between LCPT and IR-Tac, these results suggest that, regardless of metabolizer phenotype, clinical outcomes do not differ between these formulations when dose adjustments are made. Clinical trial registration https://clinicaltrials.gov/ct2/show/NCT01187953
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Affiliation(s)
- Barbara Suwelack
- Department of Internal Medicine, Transplant Nephrology, University Hospital Münster, Westfalian Wilhelms University, Münster, Germany
| | - Suphamai Bunnapradist
- Division of Nephrology, University of California Los Angeles (UCLA) Medical Center, Los Angeles, CA, USA
| | | | | | | | | | - Klemens Budde
- Department of Nephrology and Medical Intensive Care, Charité - University Medicine Berlin, Berlin, Germany
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12
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Rubik J, Debray D, Kelly D, Iserin F, Webb NJA, Czubkowski P, Vondrak K, Sellier-Leclerc AL, Rivet C, Riva S, Tönshoff B, D'Antiga L, Marks SD, Reding R, Kazeem G, Undre N. Efficacy and safety of prolonged-release tacrolimus in stable pediatric allograft recipients converted from immediate-release tacrolimus - a Phase 2, open-label, single-arm, one-way crossover study. Transpl Int 2019; 32:1182-1193. [PMID: 31325368 PMCID: PMC6852421 DOI: 10.1111/tri.13479] [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: 12/20/2018] [Revised: 01/21/2019] [Accepted: 07/11/2019] [Indexed: 12/11/2022]
Abstract
There are limited clinical data regarding prolonged‐release tacrolimus (PR‐T) use in pediatric transplant recipients. This Phase 2 study assessed the efficacy and safety of PR‐T in stable pediatric kidney, liver, and heart transplant recipients (aged ≥5 to ≤16 years) over 1 year following conversion from immediate‐release tacrolimus (IR‐T), on a 1:1 mg total‐daily‐dose basis. Endpoints included the incidence of acute rejection (AR), a composite endpoint of efficacy failure (death, graft loss, biopsy‐confirmed AR, and unknown outcome), and safety. Tacrolimus dose and whole‐blood trough levels (target 3.5–15 ng/ml) were also evaluated. Overall, 79 patients (kidney, n = 48; liver, n = 29; heart, n = 2) were assessed. Following conversion, tacrolimus dose and trough levels remained stable; however, 7.6–17.7% of patients across follow‐up visits had trough levels below the target range. Two (2.5%) patients had AR, and 3 (3.8%) had efficacy failure. No graft loss or deaths were reported. No new safety signals were identified. Drug‐related treatment‐emergent adverse events occurred in 28 patients (35.4%); most were mild, and all resolved. This study suggests that IR‐T to PR‐T conversion is effective and well tolerated over 1 year in pediatric transplant recipients and highlights the importance of therapeutic drug monitoring to maintain target tacrolimus trough levels.
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Affiliation(s)
- Jacek Rubik
- Department of Nephrology, Kidney Transplantation and Hypertension, The Children's Memorial Health Institute, Warsaw, Poland
| | - Dominique Debray
- Pediatric Hepatology Unit, APHP-Hôpital Universitaire Necker, Paris, France
| | - Deirdre Kelly
- The Liver Unit, Birmingham Women's & Children's Hospital, Birmingham, UK
| | - Franck Iserin
- Pediatric Cardiology Unit, APHP-Hôpital Universitaire Necker, Paris, France
| | - Nicholas J A Webb
- Department of Pediatric Nephrology, NIHR/Wellcome Trust Manchester Clinical Research Facility, Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, University of Manchester, Manchester, UK
| | - Piotr Czubkowski
- Department of Gastroenterology, Hepatology, Nutritional Disturbances and Pediatrics, The Children's Memorial Health Institute, Warsaw, Poland
| | - Karel Vondrak
- Department of Pediatrics, Second School of Medicine, University Hospital Motol, Charles University, Prague, Czech Republic
| | - Anne-Laure Sellier-Leclerc
- Department of Nephrology, Rheumatology, and Dermatology, Center for Rare Diseases, Civil Hospice of Lyon, 'Woman-Mother-Child' Hospital, Bron Cedex, France
| | - Christine Rivet
- Pediatric Hepatology, Gastroenterology and Transplantation, Civil Hospice of Lyon, Lyon, France
| | - Silvia Riva
- Department of Pediatrics, ISMETT-IRCCS, Palermo, Italy
| | - Burkhard Tönshoff
- Department of Pediatrics I, University Children's Hospital Heidelberg, Heidelberg, Germany
| | - Lorenzo D'Antiga
- Pediatric Hepatology, Gastroenterology and Transplantation, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Stephen D Marks
- Department of Pediatric Nephrology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Raymond Reding
- Unité de Chirurgie et Transplantation Pédiatrique, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Gbenga Kazeem
- BENKAZ Consulting Ltd, Cambridge, UK.,Astellas Pharma Europe Ltd, Chertsey, UK
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13
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Association of Intrapatient Variability of Tacrolimus Concentration With Early Deterioration of Chronic Histologic Lesions in Kidney Transplantation. Transplant Direct 2019; 5:e455. [PMID: 31321291 PMCID: PMC6553623 DOI: 10.1097/txd.0000000000000899] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 04/04/2019] [Accepted: 04/06/2019] [Indexed: 12/22/2022] Open
Abstract
Supplemental Digital Content is available in the text. High intrapatient variability (IPV) of tacrolimus (Tac) is increasingly recognized as a risk factor for poor graft outcomes in kidney transplantation. The timing of onset of its impact on kidney histologic lesions has not been investigated.
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14
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Andrews LM, Hesselink DA, van Schaik RHN, van Gelder T, de Fijter JW, Lloberas N, Elens L, Moes DJAR, de Winter BCM. A population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients. Br J Clin Pharmacol 2019; 85:601-615. [PMID: 30552703 PMCID: PMC6379219 DOI: 10.1111/bcp.13838] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 11/30/2018] [Accepted: 12/10/2018] [Indexed: 12/16/2022] Open
Abstract
Aims The aims of this study were to describe the pharmacokinetics of tacrolimus immediately after kidney transplantation, and to develop a clinical tool for selecting the best starting dose for each patient. Methods Data on tacrolimus exposure were collected for the first 3 months following renal transplantation. A population pharmacokinetic analysis was conducted using nonlinear mixed‐effects modelling. Demographic, clinical and genetic parameters were evaluated as covariates. Results A total of 4527 tacrolimus blood samples collected from 337 kidney transplant recipients were available. Data were best described using a two‐compartment model. The mean absorption rate was 3.6 h−1, clearance was 23.0 l h–1 (39% interindividual variability, IIV), central volume of distribution was 692 l (49% IIV) and the peripheral volume of distribution 5340 l (53% IIV). Interoccasion variability was added to clearance (14%). Higher body surface area (BSA), lower serum creatinine, younger age, higher albumin and lower haematocrit levels were identified as covariates enhancing tacrolimus clearance. Cytochrome P450 (CYP) 3A5 expressers had a significantly higher tacrolimus clearance (160%), whereas CYP3A4*22 carriers had a significantly lower clearance (80%). From these significant covariates, age, BSA, CYP3A4 and CYP3A5 genotype were incorporated in a second model to individualize the tacrolimus starting dose:
Dosemg=222nghml–1*22.5lh–1*1.0ifCYP3A5*3/*3or1.62ifCYP3A5*1/*3orCYP3A5*1/*1*1.0ifCYP3A4*1or unknownor0.814ifCYP3A4*22*Age56−0.50*BSA1.930.72/1000Both models were successfully internally and externally validated. A clinical trial was simulated to demonstrate the added value of the starting dose model. Conclusions For a good prediction of tacrolimus pharmacokinetics, age, BSA, CYP3A4 and CYP3A5 genotype are important covariates. These covariates explained 30% of the variability in CL/F. The model proved effective in calculating the optimal tacrolimus dose based on these parameters and can be used to individualize the tacrolimus dose in the early period after transplantation.
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Affiliation(s)
- L M Andrews
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - D A Hesselink
- Department of Internal Medicine, Division of Nephrology & Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Rotterdam Transplant Group, Rotterdam, The Netherlands
| | - R H N van Schaik
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - T van Gelder
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Internal Medicine, Division of Nephrology & Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Rotterdam Transplant Group, Rotterdam, The Netherlands
| | - J W de Fijter
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Lloberas
- Department of Nephrology, IDIBELL, Hospital Universitari de Bellvitge, Barcelona, Spain
| | - L Elens
- Department of Integrated PharmacoMetrics, PharmacoGenomics and PharmacoKinetics (PMGK), Louvain Drug Research Institute (LDRI), Université Catholique de Louvain (UCL), Brussels, Belgium
| | - D J A R Moes
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - B C M de Winter
- Department of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
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15
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Clinical aspects of tacrolimus use in paediatric renal transplant recipients. Pediatr Nephrol 2019; 34:31-43. [PMID: 29479631 DOI: 10.1007/s00467-018-3892-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 01/08/2018] [Accepted: 01/10/2018] [Indexed: 12/30/2022]
Abstract
The calcineurin inhibitor tacrolimus, cornerstone of most immunosuppressive regimens, is a drug with a narrow therapeutic window: underexposure can lead to allograft rejection and overexposure can result in an increased incidence of infections, toxicity and malignancies. Tacrolimus is metabolised in the liver and intestine by the cytochrome P450 3A (CYP3A) isoforms CYP3A4 and CYP3A5. This review focusses on the clinical aspects of tacrolimus pharmacodynamics, such as efficacy and toxicity. Factors affecting tacrolimus pharmacokinetics, including pharmacogenetics and the rationale for routine CYP3A5*1/*3 genotyping in prospective paediatric renal transplant recipients, are also reviewed. Therapeutic drug monitoring, including pre-dose concentrations and pharmacokinetic profiles with the available "reference values", are discussed. Factors contributing to high intra-patient variability in tacrolimus exposure and its impact on clinical outcome are also reviewed. Lastly, suggestions for future research and clinical perspectives are discussed.
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16
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Vondrak K, Dhawan A, Parisi F, Grenda R, Debray D, Marks SD, Webb NJA, Lachaux A, Kazeem G, Undre N. Comparative pharmacokinetics of tacrolimus in de novo pediatric transplant recipients randomized to receive immediate- or prolonged-release tacrolimus. Pediatr Transplant 2018; 22:e13289. [PMID: 30358019 DOI: 10.1111/petr.13289] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 07/27/2018] [Accepted: 08/13/2018] [Indexed: 11/29/2022]
Abstract
Phase 2, parallel-group, multicenter, open-label, 4-week study, comparing PK of PR-T vs IR-T in de novo pediatric patients undergoing primary kidney, liver, or heart transplantation. Patients randomized 1:1 to receive once daily, PR-T-, or twice-daily, IR-T-based regimens; dose adjustments permitted after Day 1. Twenty-four-hour PK profiles collected on Days 1, 7, and 28. Primary endpoint: tacrolimus AUC24 . Secondary end points included tacrolimus C24 and Cmax . Endpoints compared between PR-T and IR-T on Days 1, 7, and 28. Predefined similarity interval for CIs of LSM ratios: 80%-125%. PK analysis set comprised 33 patients (PR-T, n = 15; IR-T, n = 18). Overall, AUC24 and Cmax were lower on Day 1 vs 7 and 28. Geometric LSM ratios of PR-T:IR-T on Days 1, 7, and 28 were 66.3%, 92.5%, 99.9%, respectively, for AUC24 ; 66.3%, 82.2%, 90.9% for C24 ; and 77.3%, 120.3%, 92.2% for Cmax . AUC24 90% CI within predefined similarity interval on Day 28; other 90% CIs fell outside. Linear relationship was similar between AUC24 and C24 , and between tacrolimus formulations, suggesting that the same therapeutic drug monitoring method can be used with both formulations in de novo pediatric allograft recipients.
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Affiliation(s)
- Karel Vondrak
- Department of Pediatrics, University Hospital Motol, Second School of Medicine, Charles University, Prague, Czech Republic
| | - Anil Dhawan
- Paediatric Liver GI and Nutrition Center, King's College Hospital, London, UK
| | - Francesco Parisi
- Department of Pediatric Cardiology and Cardiac Surgery, Thoracic Transplant Unit, Osp Pediatrico Bambino Gesù, Rome, Italy
| | - Ryszard Grenda
- Department of Nephrology and Kidney Transplantation, The Children's Memorial Health Institute, Warsaw, Poland
| | - Dominique Debray
- Pediatric Hepatology Unit, APHP-Hôpital Universitaire Necker-Enfants Malades, Paris, France
| | - Stephen D Marks
- Department of Paediatric Nephrology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Nicholas J A Webb
- Department of Paediatric Nephrology, Royal Manchester Children's Hospital, Manchester University Foundation Trust, Manchester, UK
| | - Alain Lachaux
- Service d'Hépatologie Pédiatrique, Université Lyon 1 et Hospices Civils de Lyon, HFME, Bron Cedex, France
| | - Gbenga Kazeem
- Astellas Pharma Europe Ltd, Chertsey, UK.,BENKAZ Consulting Ltd, Cambridge, UK
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17
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Conversion from Twice-Daily Prograf ® to Once-Daily Advagraf ® in Multi-ethnic Asian Adult Renal Transplant Recipients With or Without Concomitant Use of Diltiazem: Impact of CYP3A5 and MDR1 Genetic Polymorphisms on Tacrolimus Exposure. Eur J Drug Metab Pharmacokinet 2018; 44:481-492. [PMID: 30471066 DOI: 10.1007/s13318-018-0531-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND OBJECTIVES Tacrolimus is the mainstay of immunosuppression in renal transplantation. Given that once-daily administration improves patient compliance, 1:1 dose conversion from twice-daily Prograf® to once-daily Advagraf® is recommended. Although cytochrome P450 (CYP) 3A5 and multi-drug resistance 1 (MDR1) polymorphisms influence tacrolimus concentrations, it is unknown if these impact on conversion. This study investigated the change in the pharmacokinetics of tacrolimus after conversion from Prograf® to Advagraf® and examined the impact of CYP3A5 and MDR1 C3435T polymorphisms on those pharmacokinetics. METHODS A prospective open-label pharmacokinetic study of 1:1 conversion from Prograf® to Advagraf® with or without diltiazem was conducted on 26 stable renal transplant recipients. Blood samples were collected over 24 h during each phase, tacrolimus concentrations were assayed, and noncompartmental pharmacokinetic analysis was performed. All participants were genotyped for CYP3A5*3 and MDR1 C3435T. RESULTS After conversion, without diltiazem, the area under the concentration-time curve at steady state from 0 to 24 h after dose administration (AUCss, 0-24) was significantly reduced [median 224 (range 172-366) vs. 184 (104-347) ng·h/mL, p = 0.006, n = 26]. A decrease in tacrolimus exposure (median 21%) was only evident among CYP3A5 expressors [227 (172-366) vs. 180 (104-347) ng·h/mL, p = 0.014, n = 18], not among non-expressors [215 (197-290) vs. 217 (129-281) ng·h/mL, p = 0.263, n = 8]. In contrast, among CYP3A5 expressors receiving diltiazem, AUCss, 0-24 did not change significantly upon conversion [229 (170-296) vs. 221 (123-342) ng·h/mL, p = 0.575, n = 10]. An independent effect was not evident for MDR1 C3435T polymorphism. CONCLUSION The high prevalence of CYP3A5 polymorphism among Asians may lead to a significant reduction in tacrolimus exposure with 1:1 dose conversion of Prograf® to Advagraf®. These results advocate for CYP3A5 determination prior to conversion, and suggest that 1:1.25 conversion should be used for CYP3A5 expressors and 1:1 conversion for other patients.
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18
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Fröhlich E. Understanding and Preventing Adverse Effects of Tacrolimus Metabolization in Transplant Patients. Curr Drug Metab 2018; 20:1039-1040. [PMID: 30081785 DOI: 10.2174/1389200219666180806154433] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2018] [Revised: 08/02/2018] [Accepted: 08/02/2018] [Indexed: 11/22/2022]
Affiliation(s)
- Eleonore Fröhlich
- Center for Medical Research, Medical University of Graz, Graz, Austria.,Research Center Pharmaceutical Engineering GmbH, Graz, Austria
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19
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Zhang X, Lin G, Tan L, Li J. Current progress of tacrolimus dosing in solid organ transplant recipients: Pharmacogenetic considerations. Biomed Pharmacother 2018; 102:107-114. [DOI: 10.1016/j.biopha.2018.03.054] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 02/27/2018] [Accepted: 03/09/2018] [Indexed: 12/11/2022] Open
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20
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Kuypers DRJ. “What do we know about tacrolimus pharmacogenetics in transplant recipients?”. Pharmacogenomics 2018; 19:593-597. [DOI: 10.2217/pgs-2018-0035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Dirk RJ Kuypers
- Department of Nephrology & Renal Transplantation, University Hospitals Leuven, Brabant, Belgium
- Department of Microbiology & Immunology, University of Leuven, Brabant, Belgium
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Tacrolimus Trough Concentration Variability and Disparities in African American Kidney Transplantation. Transplantation 2017; 101:2931-2938. [PMID: 28658199 DOI: 10.1097/tp.0000000000001840] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Low tacrolimus concentrations have been associated with higher risk of acute rejection, particularly within African American (AA) kidney transplant recipients; little is known about intrapatient tacrolimus variabilities impact on racial disparities. METHODS Ten year, single-center, longitudinal cohort study of kidney recipients. Intrapatient tacrolimus variability was assessed using the coefficient of variation (CV) measured between 1 month posttransplant and the clinical event, with a comparable period assessed in those without events. Pediatrics, nontacrolimus/mycophenolate regimens, and nonrenal transplants were excluded. Multivariable Cox regression models were used to analyze data. RESULTS One thousand four hundred eleven recipients were included (54.4% AA) with 39 521 concentrations used to assess intrapatient tacrolimus CV. Overall, intrapatient tacrolimus CV was higher in AAs versus non-AAs (39.9 ± 19.8 % vs 34.8 ± 15.8% P < 0.001). Tacrolimus variability was a significant risk factor for deleterious clinical outcomes. A 10% increase in tacrolimus CV augmented the risk of acute rejection by 20% (adjusted hazard ratio, 1.20, 1.13-1.28; P < 0.001) and the risk of graft loss by 30% (adjusted hazard ratio, 1.30, 1.23-1.37; P < 0.001), with significant effect modification by race for acute rejection, but not graft loss. High tacrolimus variability (CV >40%) was a significant explanatory variable for disparities in AAs; the crude relative risk of acute rejection in AAs was reduced by 46% when including tacrolimus variability in modeling and reduced by 40% for graft loss. CONCLUSIONS These data demonstrate that intrapatient tacrolimus variability is strongly associated with acute rejection in AAs and graft loss in all patients. Tacrolimus variability is a significant explanatory variable for disparities in AA recipients.
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Trofe-Clark J, Brennan DC, West-Thielke P, Milone MC, Lim MA, Neubauer R, Nigro V, Bloom RD. Results of ASERTAA, a Randomized Prospective Crossover Pharmacogenetic Study of Immediate-Release Versus Extended-Release Tacrolimus in African American Kidney Transplant Recipients. Am J Kidney Dis 2017; 71:315-326. [PMID: 29162334 DOI: 10.1053/j.ajkd.2017.07.018] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 07/20/2017] [Indexed: 12/23/2022]
Abstract
BACKGROUND Differences in tacrolimus dosing across ancestries is partly attributable to polymorphisms in CYP3A5 genes that encode tacrolimus-metabolizing cytochrome P450 3A5 enzymes. The CYP3A5*1 allele, preponderant in African Americans, is associated with rapid metabolism, subtherapeutic concentrations, and higher dose requirements for tacrolimus, all contributing to worse outcomes. Little is known about the relationship between CYP3A5 genotype and the tacrolimus pharmacokinetic area under the curve (AUC) profile in African Americans or whether pharmacogenetic differences exist between conventional twice-daily, rapidly absorbed, immediate-release tacrolimus (IR-Tac) and once-daily extended-release tacrolimus (LifeCycle Pharma Tac [LCPT]) with a delayed absorption profile. STUDY DESIGN Randomized prospective crossover study. SETTING & PARTICIPANTS 50 African American maintenance kidney recipients on stable IR-Tac dosing. INTERVENTION Recipients were randomly assigned to continue IR-Tac on days 1 to 7 and then switch to LCPT on day 8 or receive LCPT on days 1 to 7 and then switch to IR-Tac on day 8. The LCPT dose was 85% of the IR-Tac total daily dose. OUTCOMES Tacrolimus 24-hour AUC (AUC0-24), peak and trough concentrations (Cmax and Cmin), time to peak concentration, and bioavailability of LCPT versus IR-Tac, according to CYP3A5 genotype. MEASUREMENTS CYP3A5 genotype, 24-hour tacrolimus pharmacokinetic profiles. RESULTS ∼80% of participants carried the CYP3A5*1 allele (CYP3A5 expressers). There were no significant differences in AUC0-24 or Cmin between CYP3A5 expressers and nonexpressers during administration of either IR-Tac or LCPT. With IR-Tac, tacrolimus Cmax was 33% higher in CYP3A5 expressers compared with nonexpressers (P=0.04): With LCPT, this difference was 11% (P=0.4). LIMITATIONS This was primarily a pharmacogenetic study rather than an efficacy study; the follow-up period was too short to capture clinical outcomes. CONCLUSIONS Achieving therapeutic tacrolimus trough concentrations with IR-Tac in most African Americans results in significantly higher peak concentrations, potentially magnifying the risk for toxicity and adverse outcomes. This pharmacogenetic effect is attenuated by delayed tacrolimus absorption with LCPT. TRIAL REGISTRATION Registered at ClinicalTrials.gov, with study number NCT01962922.
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Affiliation(s)
- Jennifer Trofe-Clark
- Department of Pharmacy Services, Hospital of the University of Pennsylvania, Philadelphia, PA; Renal Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | | | - Michael C Milone
- Perelman School of Medicine, University of Pennsylvania, Penn Institute for Immunology, Philadelphia, PA
| | - Mary Ann Lim
- Renal Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Robin Neubauer
- Renal Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Roy D Bloom
- Renal Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
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Andrews LM, Li Y, De Winter BCM, Shi YY, Baan CC, Van Gelder T, Hesselink DA. Pharmacokinetic considerations related to therapeutic drug monitoring of tacrolimus in kidney transplant patients. Expert Opin Drug Metab Toxicol 2017; 13:1225-1236. [PMID: 29084469 DOI: 10.1080/17425255.2017.1395413] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Tacrolimus (Tac) is the cornerstone of immunosuppressive therapy after solid organ transplantation and will probably remain so. Excluding belatacept, no new immunosuppressive drugs were registered for the prevention of acute rejection during the last decade. For several immunosuppressive drugs, clinical development halted because they weren't sufficiently effective or more toxic. Areas covered: Current methods of monitoring Tac treatment, focusing on traditional therapeutic drug monitoring (TDM), controversies surrounding TDM, novel matrices, pharmacogenetic and pharmacodynamic monitoring are discussed. Expert opinion: Due to a narrow therapeutic index and large interpatient pharmacokinetic variability, TDM has been implemented for individualization of Tac dose to maintain drug efficacy and minimize the consequences of overexposure. The relationship between predose concentrations and the occurrence of rejection or toxicity is controversial. Acute cellular rejection also occurs when the Tac concentration is within the target range, suggesting that Tac whole blood concentrations don't necessarily correlate with pharmacological effect. Intracellular Tac, the unbound fraction of Tac or pharmacodynamic monitoring could be better biomarkers/tools for adequate Tac exposure - research into this has been promising. Traditional TDM, perhaps following pre-emptive genotyping for Tac-metabolizing enzymes, must suffice for a few years before these strategies can be implemented in clinical practice.
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Affiliation(s)
- Louise M Andrews
- a Department of Hospital Pharmacy , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands
| | - Yi Li
- a Department of Hospital Pharmacy , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands.,b Department of Laboratory Medicine , West China Hospital of Sichuan University , Chengdu , China
| | - Brenda C M De Winter
- a Department of Hospital Pharmacy , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands
| | - Yun-Ying Shi
- c Department of Nephrology , West China Hospital of Sichuan University , Chengdu , China
| | - Carla C Baan
- d Department of Internal Medicine , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands
| | - Teun Van Gelder
- a Department of Hospital Pharmacy , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands.,d Department of Internal Medicine , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands
| | - Dennis A Hesselink
- d Department of Internal Medicine , Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands
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