1
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Seligson ND, Zhang X, Zemanek MC, Johnson JA, VanGundy Z, Wang D, Phelps MA, Roddy J, Hofmeister CC, Li J, Poi MJ. CYP3A5 influences oral tacrolimus pharmacokinetics and timing of acute kidney injury following allogeneic hematopoietic stem cell transplantation. Front Pharmacol 2024; 14:1334440. [PMID: 38259277 PMCID: PMC10800424 DOI: 10.3389/fphar.2023.1334440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction: Polymorphisms in genes responsible for the metabolism and transport of tacrolimus have been demonstrated to influence clinical outcomes for patients following allogeneic hematologic stem cell transplant (allo-HSCT). However, the clinical impact of germline polymorphisms specifically for oral formulations of tacrolimus is not fully described. Methods: To investigate the clinical impact of genetic polymorphisms in CYP3A4, CYP3A5, and ABCB1 on oral tacrolimus pharmacokinetics and clinical outcomes, we prospectively enrolled 103 adult patients receiving oral tacrolimus for the prevention of graft-versus-host disease (GVHD) following allo-HSCT. Patients were followed in the inpatient and outpatient phase of care for the first 100 days of tacrolimus therapy. Patients were genotyped for CYP3A5 *3 (rs776746), CYP3A4 *1B (rs2740574), ABCB1 exon 12 (rs1128503), ABCB1 exon 21 (rs2032582), ABCB1 exon 26 (rs1045642). Results: Expression of CYP3A5 *1 was highly correlated with tacrolimus pharmacokinetics in the inpatient phase of care (p < 0.001) and throughout the entirety of the study period (p < 0.001). Additionally, Expression of CYP3A5 *1 was associated with decreased risk of developing AKI as an inpatient (p = 0.06). Variants in ABCB1 were not associated with tacrolimus pharmacokinetics in this study. We were unable to discern an independent effect of CYP3A4 *1B or *22 in this population. Conclusion: Expression of CYP3A5 *1 is highly influential on the pharmacokinetics and clinical outcomes for patients receiving oral tacrolimus as GVHD prophylaxis following allo-HSCT.
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Affiliation(s)
- Nathan D. Seligson
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
- Department of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH, United States
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States
| | - Xunjie Zhang
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Mark C. Zemanek
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Jasmine A. Johnson
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Zachary VanGundy
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Danxin Wang
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States
| | - Mitch A. Phelps
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States
- Division of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Julianna Roddy
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
- Department of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Craig C. Hofmeister
- Department of Hematology and Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, United States
| | - Junan Li
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States
- Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Ming J. Poi
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH, United States
- Department of Pharmacy, The Ohio State University Wexner Medical Center, Columbus, OH, United States
- Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States
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2
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Ho TT, Perkins JB, Gonzalez R, Hicks JK, Martinez RA, Duranceau K, North B, Kim J, Teer JK, Yao J, Yoder SJ, Nishihori T, Bejanyan N, Pidala J, Elmariah H. Association between CYP3A4, CYP3A5 and ABCB1 genotype and tacrolimus treatment outcomes among allogeneic HSCT patients. Pharmacogenomics 2024; 25:29-40. [PMID: 38189154 DOI: 10.2217/pgs-2023-0204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
Aim: Successful treatment with tacrolimus to prevent graft versus host disease (GVHD) and minimize tacrolimus-related toxicities among allogeneic hematopoietic cell transplantation (alloHCT) recipients is contingent upon quickly achieving and maintaining concentrations within a narrow therapeutic range. The primary objective was to investigate associations between CYP3A4, CYP3A5 or ABCB1 genotype and the proportion of patients that attained an initial tacrolimus goal concentration following initiation of intravenous (iv.) and conversion to oral administration. Materials & methods: We retrospectively evaluated 86 patients who underwent HLA-matched (8/8) related donor alloHCT and were prescribed a tacrolimus-based regimen for GVHD prophylaxis. Results & conclusion: The findings of the present study suggests that CYP3A5 genotype may impact attainment of initial therapeutic tacrolimus concentrations with oral administration in alloHCT recipients.
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Affiliation(s)
- Teresa T Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
- Department of Pathology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Janelle B Perkins
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Rebecca Gonzalez
- Department of Blood & Marrow Transplant & Cellular Immunotherapy (BMT CI), H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
- Department of Pharmacy, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - James Kevin Hicks
- Department of Pathology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Ronald Alvarez Martinez
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Katie Duranceau
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Brianna North
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA
| | - Jongphil Kim
- Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Jamie K Teer
- Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Jiqiang Yao
- Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Sean J Yoder
- Molecular Genomics Core, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Taiga Nishihori
- Department of Blood & Marrow Transplant & Cellular Immunotherapy (BMT CI), H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Nelli Bejanyan
- Department of Blood & Marrow Transplant & Cellular Immunotherapy (BMT CI), H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Joseph Pidala
- Department of Blood & Marrow Transplant & Cellular Immunotherapy (BMT CI), H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
| | - Hany Elmariah
- Department of Blood & Marrow Transplant & Cellular Immunotherapy (BMT CI), H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA
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3
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Pei L, Li R, Zhou H, Du W, Gu Y, Jiang Y, Wang Y, Chen X, Sun J, Zhu J. A Physiologically Based Pharmacokinetic Approach to Recommend an Individual Dose of Tacrolimus in Adult Heart Transplant Recipients. Pharmaceutics 2023; 15:2580. [PMID: 38004558 PMCID: PMC10675244 DOI: 10.3390/pharmaceutics15112580] [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: 08/03/2023] [Revised: 09/07/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023] Open
Abstract
Tacrolimus is the principal immunosuppressive drug which is administered after heart transplantation. Managing tacrolimus therapy is challenging due to a narrow therapeutic index and wide pharmacokinetic (PK) variability. We aimed to establish a physiologically based pharmacokinetic (PBPK) model of tacrolimus in adult heart transplant recipients to optimize dose regimens in clinical practice. A 15-compartment full-PBPK model (Simbiology® Simulator, version 5.8.2) was developed using clinical observations from 115 heart transplant recipients. This study detected 20 genotypes associated with tacrolimus metabolism. CYP3A5*3 (rs776746), CYP3A4*18B (rs2242480), and IL-10 G-1082A (rs1800896) were identified as significant genetic covariates in tacrolimus pharmacokinetics. The PBPK model was evaluated using goodness-of-fit (GOF) and external evaluation. The predicted peak blood concentration (Cmax) and area under the drug concentration-time curve (AUC) were all within a two-fold value of the observations (fold error of 0.68-1.22 for Cmax and 0.72-1.16 for AUC). The patients with the CYP3A5*3/*3 genotype had a 1.60-fold increase in predicted AUC compared to the patients with the CYP3A5*1 allele, and the ratio of the AUC with voriconazole to alone was 5.80 when using the PBPK model. Based on the simulation results, the tacrolimus dosing regimen after heart transplantation was optimized. This is the first PBPK model used to predict the PK of tacrolimus in adult heart transplant recipients, and it can serve as a starting point for research on immunosuppressive drug therapy in heart transplant patients.
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Affiliation(s)
- Ling Pei
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing 210006, China
- Department of Pharmacy, Nanjing First Hospital, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
| | - Run Li
- Key Laboratory of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China
| | - Hong Zhou
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Wenxin Du
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing 210006, China
- Department of Pharmacy, Nanjing First Hospital, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
| | - Yajie Gu
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing 210006, China
- Department of Pharmacy, Nanjing First Hospital, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
| | - Yingshuo Jiang
- Department of Cardiothoracic Surgery, Nanjing First Hospital, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
| | - Yongqing Wang
- Research Division of Clinical Pharmacology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xin Chen
- Department of Cardiothoracic Surgery, Nanjing First Hospital, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
| | - Jianguo Sun
- Key Laboratory of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China
| | - Junrong Zhu
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing 210006, China
- Department of Pharmacy, Nanjing First Hospital, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
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4
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Morris SA, Nguyen DG, Patel JN. Pharmacogenomics in allogeneic hematopoietic stem cell transplantation: Implications on supportive therapies and conditioning regimens. Best Pract Res Clin Haematol 2023; 36:101470. [PMID: 37353294 DOI: 10.1016/j.beha.2023.101470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/17/2023] [Accepted: 04/17/2023] [Indexed: 06/25/2023]
Abstract
Allogeneic hematopoietic stem cell transplantation mortality has declined over the years, though prevention and management of treatment-related toxicities and post-transplant complications remains challenging. Applications of pharmacogenomic testing can potentially mitigate adverse drug outcomes due to interindividual variability in drug metabolism and response. This review summarizes clinical pharmacogenomic applications relevant to hematopoietic stem cell transplantation, including antifungals, immunosuppressants, and supportive care management, as well as emerging pharmacogenomic evidence with conditioning regimens.
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Affiliation(s)
- Sarah A Morris
- Department of Cancer Pharmacology & Pharmacogenomics Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
| | - D Grace Nguyen
- Department of Cancer Pharmacology & Pharmacogenomics Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
| | - Jai N Patel
- Department of Cancer Pharmacology & Pharmacogenomics Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
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5
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Guijosa A, Freyria A, Espinosa‐Fernandez JR, Estrada‐Mena FJ, Armenta‐Quiroga AS, Ortega‐Treviño MF, Catalán R, Antonio‐Aguirre B, Villarreal‐Garza C, Perez‐Ortiz AC. Pharmacogenetics of taxane-induced neurotoxicity in breast cancer: Systematic review and meta-analysis. Clin Transl Sci 2022; 15:2403-2436. [PMID: 35892315 PMCID: PMC9579387 DOI: 10.1111/cts.13370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 05/09/2022] [Accepted: 06/20/2022] [Indexed: 01/25/2023] Open
Abstract
Taxane-based chemotherapy regimens are used as first-line treatment for breast cancer. Neurotoxicity, mainly taxane-induced peripheral neuropathy (TIPN), remains the most important dose-limiting adverse event. Multiple genes may be associated with TIPN; however, the strength and direction of the association remain unclear. For this reason, we systematically reviewed observational studies of TIPN pharmacogenetic markers in breast cancer treatment. We conducted a systematic search of terms alluding to breast cancer, genetic markers, taxanes, and neurotoxicity in Ovid, ProQuest, PubMed, Scopus, Virtual Health, and Web of Science. We assessed the quality of evidence and bias profile. We extracted relevant variables and effect measures. Whenever possible, we performed random-effects gene meta-analyses and examined interstudy heterogeneity with meta-regression models and subgroup analyses. This study follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and STrengthening the REporting of Genetic Association Studies (STREGA) reporting guidance. A total of 42 studies with 19,431 participants were included. These evaluated 262 single-nucleotide polymorphisms (SNPs) across 121 genes. We conducted meta-analyses on 23 genes with 60 SNPs (19 studies and 6246 participants). Thirteen individual SNPs (ABCB1-rs2032582, ABCB1-rs3213619, BCL6/-rs1903216, /CAND1-rs17781082, CYP1B1-rs1056836, CYP2C8-rs10509681, CYP2C8-rs11572080, EPHA5-rs7349683, EPHA6-rs301927, FZD3-rs7001034, GSTP1-rs1138272, TUBB2A-rs9501929, and XKR4-rs4737264) and the overall SNPs' effect in four genes (CYP3A4, EphA5, GSTP1, and SLCO1B1) were statistically significantly associated with TIPN through meta-analysis. In conclusion, through systematic review and meta-analysis, we found that polymorphisms, and particularly 13 SNPs, are associated with TIPN, suggesting that genetics does play a role in interindividual predisposition. Further studies could potentially use these findings to develop individual risk profiles and guide decision making.
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Affiliation(s)
| | - Ana Freyria
- School of MedicineUniversidad PanamericanaMexico CityMexico
| | | | | | | | | | - Rodrigo Catalán
- School of MedicineUniversidad PanamericanaMexico CityMexico,Thoracic Oncology UnitInstituto Nacional de CancerologíaMexico CityMexico
| | | | - Cynthia Villarreal‐Garza
- Breast Cancer Center, Hospital Zambrano Hellion TecSalud, Tecnologico de MonterreySan Pedro Garza GarcíaNuevo LeónMexico
| | - Andric C. Perez‐Ortiz
- School of MedicineUniversidad PanamericanaMexico CityMexico,Transplant CenterMassachusetts General HospitalBostonMassachusettsUSA
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6
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Li Y, Liu Y, Sun Z. Investigation of pharmacologic interactions between omeprazole and tacrolimus in a membranous nephropathy patient with CYP3A5 nonexpresser: a case report. Pharmacogenet Genomics 2022; 32:268-271. [PMID: 35916550 DOI: 10.1097/fpc.0000000000000478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Tacrolimus has been widely used in membranous nephropathy in recent years. The drug interactions of the coadministration of tacrolimus with omeprazole in CYP3A5 nonexpresser membranous nephropathy patients have not been demonstrated. Here, we report an idiopathic membranous nephropathy patient who was with CYP2C19*2/*2, CYP3A5*3/*3 (nonexpresser) and ABCB1 (3435 TT, 1236 computed tomography, 2677 TT) genotype requiring treatment with tacrolimus and omeprazole and found to have fluctuating metabolism of tacrolimus. This study shows that tacrolimus and omeprazole have pharmacologic drug interactions in CYP3A5 nonexpressers, implying that the CYP3A and ABCB1 gene mutations linked to tacrolimus metabolism may alter tacrolimus levels in the blood. The observed concentrations of tacrolimus were decreased after the discontinuation of omeprazole therapy. It demonstrates that, in addition to genotype, clinical covariates, such as omeprazole are important when it comes to better understanding and prediction of tacrolimus dosage. It is deemed necessary to monitor tacrolimus blood concentrations and make dose adjustments when patients were coadministered with omeprazole.
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Affiliation(s)
- Yanli Li
- Department of Pharmacy, the First People's Hospital of Lianyungang, Lianyungang, People's Republic of China
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7
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Liu XL, Guan YP, Wang Y, Huang K, Jiang FL, Wang J, Yu QH, Qiu KF, Huang M, Wu JY, Zhou DH, Zhong GP, Yu XX. Population Pharmacokinetics and Initial Dosage Optimization of Tacrolimus in Pediatric Hematopoietic Stem Cell Transplant Patients. Front Pharmacol 2022; 13:891648. [PMID: 35873585 PMCID: PMC9298550 DOI: 10.3389/fphar.2022.891648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background: There is a substantial lack of tacrolimus pharmacokinetic information in pediatric hematopoietic stem cell transplant (HSCT) patients. This study aimed to develop population pharmacokinetics (PopPK) of tacrolimus in pediatric HSCT patients and to devise model-guided dosage regimens. Methods: A retrospective analysis was performed on 86 pediatric HSCT patients who received tacrolimus intravenously or orally. A total of 578 tacrolimus trough concentrations (C0) were available for pharmacokinetic analysis using a non-linear mixed-effects modeling method. Demographic and clinical data were included and assessed as covariates via the stepwise method. Bayesian estimators were used to devise pediatric dosage regimens that targeted C0 of 5-15 ng mL-1. Results: A one-compartment model with first-order absorption adequately described the tacrolimus pharmacokinetics. Clearance (CL), volume of distribution (V), and typical bioavailability (F) in this study were estimated to be 2.42 L h-1 (10.84%), 79.6 L (16.51%), and 19% (13.01%), respectively. Body weight, hematocrit, post-transplantation days, and caspofungin and azoles concomitant therapy were considered significant covariates for tacrolimus CL. Hematocrit had a significant impact on the V of tacrolimus. In the subgroup cohort of children (n = 24) with CYP3A5 genotype, the clearance was 1.38-fold higher in CYP3A5 expressers than in non-expressers. Simulation indicated that the initial dosage optimation of tacrolimus for intravenous and oral administration was recommended as 0.025 and 0.1 mg kg-1 d-1 (q12h), respectively. Conclusion: A PopPK model for tacrolimus in pediatric HSCT patients was developed, showing good predictive performance. Model-devised dosage regimens with trough tacrolimus concentrations provide a practical strategy for achieving the therapeutic range.
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Affiliation(s)
- Xiao-Lin Liu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yan-Ping Guan
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ying Wang
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ke Huang
- Department of Paediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Fu-Lin Jiang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jian Wang
- Department of Paediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qi-Hong Yu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Kai-Feng Qiu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Min Huang
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jun-Yan Wu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Dun-Hua Zhou
- Department of Paediatrics, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guo-Ping Zhong
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Xia Yu
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
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8
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Ratner L, Zhu J‘D, Gower MN, Patel T, Miller JA, Cipriani A, Stouffer GA, Crona DJ, Lee CR. Pharmacogenomic prescribing opportunities in percutaneous coronary intervention and bone marrow transplant patients. Pharmacogenomics 2022; 23:183-194. [PMID: 35083934 PMCID: PMC8914581 DOI: 10.2217/pgs-2021-0125] [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: 02/03/2023] Open
Abstract
Aim: To evaluate the potential impact of preemptive multigene pharmacogenomic (PGx) testing on medication prescribing in real-world clinical settings. Patients & methods: Prescription frequencies for 65 medications with actionable PGx recommendations were collected in 215 percutaneous coronary intervention (PCI) and 131 allogeneic hematopoietic cell transplant (allo-HCT) patients. A simulation projected the number of PGx-guided prescribing opportunities. Results: In PCI and allo-HCT patients, respectively, 66.5 and 90.1% were prescribed at least one medication with actionable PGx prescribing recommendations. Simulations projected 26.5 and 41.2 total PGx-guided prescribing opportunities per 100 PCI and allo-HCT patients, respectively, if multigene PGx results were available. Conclusion: A multigene PGx testing strategy offers potential to optimize medication prescribing beyond clopidogrel and tacrolimus in PCI and allo-HCT patients.
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Affiliation(s)
- Lindsay Ratner
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Jing ‘Daisy’ Zhu
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Megan N Gower
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Tejendra Patel
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Jordan A Miller
- Department of Pharmacy, University of North Carolina Hospitals & Clinics, Chapel Hill, NC, USA
| | - Amber Cipriani
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacy, University of North Carolina Hospitals & Clinics, Chapel Hill, NC, USA
| | - George A Stouffer
- Division of Cardiology, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, USA,McAllister Heart Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Daniel J Crona
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA,Department of Pharmacy, University of North Carolina Hospitals & Clinics, Chapel Hill, NC, USA,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Craig R Lee
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA,Division of Cardiology, UNC School of Medicine, University of North Carolina, Chapel Hill, NC, USA,McAllister Heart Institute, University of North Carolina, Chapel Hill, NC, USA,Author for correspondence: Tel.: +1 919 843 7673;
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9
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Brooks JT, Keizer RJ, Long-Boyle JR, Kharbanda S, Dvorak CC, Friend BD. Population Pharmacokinetic Model Development of Tacrolimus in Pediatric and Young Adult Patients Undergoing Hematopoietic Cell Transplantation. Front Pharmacol 2021; 12:750672. [PMID: 34950026 PMCID: PMC8689075 DOI: 10.3389/fphar.2021.750672] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/15/2021] [Indexed: 11/27/2022] Open
Abstract
Background: With a notably narrow therapeutic window and wide intra- and interindividual pharmacokinetic (PK) variability, initial weight-based dosing along with routine therapeutic drug monitoring of tacrolimus are employed to optimize its clinical utilization. Both supratherapeutic and subtherapeutic tacrolimus concentrations can result in poor outcomes, thus tacrolimus PK variability is particularly important to consider in the pediatric population given the differences in absorption, distribution, metabolism, and excretion among children of various sizes and at different stages of development. The primary goals of the current study were to develop a population PK (PopPK) model for tacrolimus IV continuous infusion in the pediatric and young adult hematopoietic cell transplant (HCT) population and implement the PopPK model in a clinically available Bayesian forecasting tool. Methods: A retrospective chart review was conducted of 111 pediatric and young adult patients who received IV tacrolimus by continuous infusion early in the post-transplant period during HCT from February 2016 to July 2020 at our institution. PopPK model building was performed in NONMEM. The PopPK model building process included identifying structural and random effects models that best fit the data and then identifying which patient-specific covariates (if any) further improved model fit. Results: A total of 1,648 tacrolimus plasma steady-state trough concentrations were included in the PopPK modeling process. A 2-compartment structural model best fit the data. Allometrically-scaled weight was a covariate that improved estimation of both clearance and volume of distribution. Overall, model predictions only showed moderate bias, with minor under-prediction at lower concentrations and minor over-prediction at higher predicted concentrations. The model was implemented in a Bayesian dosing tool and made available at the point-of-care. Discussion: Novel therapeutic drug monitoring strategies for tacrolimus within the pediatric and young adult HCT population are necessary to reduce toxicity and improve efficacy in clinical practice. The model developed presents clinical utility in optimizing the use of tacrolimus by enabling model-guided, individualized dosing of IV, continuous tacrolimus via a Bayesian forecasting platform.
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Affiliation(s)
- Jordan T Brooks
- Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco, San Francisco, CA, United States
| | - Ron J Keizer
- Insight RX, Inc, San Francisco, CA, United States
| | - Janel R Long-Boyle
- Department of Clinical Pharmacy, School of Pharmacy, University of California, San Francisco, San Francisco, CA, United States.,Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Sandhya Kharbanda
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Christopher C Dvorak
- Department of Pediatrics, University of California, San Francisco, San Francisco, CA, United States
| | - Brian D Friend
- Department of Pediatrics, Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, United States
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10
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Zhu J, Rao G, Armistead PM, Ptachcinski J, Weiner DL, Wiltshire T, Crona DJ. Insights and lessons learned from a prospective clinical pharmacology study in allogeneic hematopoietic stem cell transplant during the COVID-19 pandemic. Clin Transl Sci 2021; 15:583-587. [PMID: 34743423 PMCID: PMC8652756 DOI: 10.1111/cts.13177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/06/2021] [Accepted: 10/14/2021] [Indexed: 12/16/2022] Open
Affiliation(s)
- Jing Zhu
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Gauri Rao
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Paul M Armistead
- Division of Hematology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jonathan Ptachcinski
- Department of Pharmacy, University of North Carolina Hospitals and Clinics, Chapel Hill, North Carolina, USA.,Division of Practice Advancement and Clinical Education, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Daniel L Weiner
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Tim Wiltshire
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Daniel J Crona
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA.,Department of Pharmacy, University of North Carolina Hospitals and Clinics, Chapel Hill, North Carolina, USA
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11
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[The effect of CYP3A5 gene polymorphism on tacrolimus concentration and adverse events in patients undergoing allogeneic hematopoietic stem cell transplantation]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2021; 42:828-833. [PMID: 34788922 PMCID: PMC8607024 DOI: 10.3760/cma.j.issn.0253-2727.2021.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
目的 探讨在异基因造血干细胞移植(allo-HSCT)患者中,CYP3A5基因多态性与他克莫司血药浓度及急性移植物抗宿主病(GVHD)间的关系。 方法 回顾性分析2019年7月至2020年2月在中国医学科学院血液病医院接受allo-HSCT的35例中国成人患者。移植前采集骨髓进行CYP3A5基因分型。应用静脉输注他克莫司、短疗程甲氨蝶呤(MTX)±吗替麦考酚酯进行GVHD预防。在他克莫司用药第2天或第3天监测初始血药浓度,随后每周监测2~3次。根据目标血药浓度(10~15 ng/ml)调整药物剂量。 结果 16例携带CYP3A5*3/*3基因的allo-HSCT患者的初始他克莫司血药浓度(9.82 ng/ml对8.53 ng/ml)、初始血药浓度/剂量(C/D)比值(5.72 ng·ml−1·mg−1对4.26 ng·ml−1·mg−1)、allo-HSCT后第一和第二周C/D比值中位数(5.29 ng·ml−1·mg−1对4.61 ng·ml−1·mg−1,5.65 ng·ml−1·mg−1对4.56 ng·ml−1·mg−1)均明显高于19例至少携带一个CYP3A5*1等位基因的患者(P值分别为0.028、0.001、0.037、0.045)。至少携带一个CYP3A5*1等位基因的患者,allo-HSCT后Ⅲ~Ⅳ级急性GVHD的发生率有高于携带CYP3A5*3/*3基因患者的趋势[(26.3±10.1)%对(6.2±6.1)%,P=0.187]。 结论 CYP3A5基因型导向给药可能有助于allo-HSCT后更快地达到他克莫司目标血药浓度,减少严重急性GVHD的发生,改善移植疗效。
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12
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Pasternak AL, Marcath LA, Li Y, Nguyen V, Gersch CL, Rae JM, Frame D, Scappaticci G, Kidwell KM, Hertz DL. Impact of Pharmacogenetics on Intravenous Tacrolimus Exposure and Conversions to Oral Therapy. Transplant Cell Ther 2021; 28:19.e1-19.e7. [PMID: 34583027 DOI: 10.1016/j.jtct.2021.09.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/07/2021] [Accepted: 09/19/2021] [Indexed: 12/17/2022]
Abstract
CYP3A5 and CYP3A4 are the predominant enzymes responsible for tacrolimus metabolism; however only a proportion of the population expresses CYP3A5 secondary to genetic variation. CYP3A5 is expressed in both the intestine and the liver and has been shown to impact both the bioavailability and metabolism of orally administered tacrolimus. Increasing the initial tacrolimus dose by 50% to 100% is recommended in patients who are known CYP3A5 expressers; however, whether this dose adjustment is appropriate for i.v. tacrolimus administration is unclear. The objective of this study was to evaluate the impact of CYP3A5 genotype as well as other pharmacogenes on i.v. tacrolimus exposure to determine whether the current genotype-guided dosing recommendations are appropriate for this formulation. In addition, this study aimed to investigate dose conversion requirements among CYP3A5 genotypes when converting from i.v. to p.o. tacrolimus. This study is a retrospective chart review of all patients who underwent allogeneic stem cell transplantation at Michigan Medicine between June 1, 2014, and March 1, 2018, who received i.v. tacrolimus at the time of their transplantation. Secondary use samples were obtained for genotyping CYP3A5, CYP3A4, and ABCB1. Patient demographic information, tacrolimus dosing and trough levels, and concomitant medications received at the time of tacrolimus trough were collected retrospectively from the patients' medical records. The i.v. dose-controlled concentration (C/D) and the i.v.:p.o. exposure ratio was calculated for all tacrolimus doses and patients, respectively. The impact of CYP3A5, CYP3A4, and ABCB1 genotypes on the i.v. C/D were evaluated with linear mixed modeling. The impact of CYP3A5 genotype on the i.v.:p.o. ratio was evaluated while controlling for age and concomitant use of an azole inhibitor. CYP3A5 and CYP3A4 genotypes were significantly associated with the i.v. C/D, with CYP3A5 expressers and CYP3A4 rapid metabolizers having 20% lower tacrolimus exposure. Neither genotype remained significant in the multivariable model, although age, hematocrit, and concomitant use of strong azole inhibitors were associated with increased i.v. C/D. When controlling for patient age and sex, CYP3A5 expressers had significantly higher i.v.:p.o. ratios than CYP3A5 nonexpressers (3.42 versus 2.78; P = .04). Post hoc analysis showed that the i.v.:p.o. ratio may differ among different CYP3A5 genotypes and azole inhibitor combinations. This study demonstrates that the current genotype-guided tacrolimus dose adjustment recommendations are inappropriate for CYP3A5 expressers receiving i.v. tacrolimus. Although CYP3A5 genotype is likely a minor contributor to i.v. tacrolimus exposure, genotype, in addition to capturing concomitant CYP3A inhibitors, would likely improve i.v.:p.o. dose conversion selection. © 2021 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.
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Affiliation(s)
- Amy L Pasternak
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan; Department of Pharmacy, Michigan Medicine, Ann Arbor, Michigan.
| | - Lauren A Marcath
- Department of Pharmacotherapy, Washington State University College of Pharmacy and Pharmaceutical Sciences, Spokane, Washington
| | - Yajing Li
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Vy Nguyen
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
| | - Christina L Gersch
- Division of Hematology/Oncology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - James M Rae
- Division of Hematology/Oncology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - David Frame
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
| | - Gianni Scappaticci
- Division of Hematology/Oncology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Kelley M Kidwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan
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13
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Zhu J, Campagne O, Torrice CD, Flynn G, Miller JA, Patel T, Suzuki O, Ptachcinski JR, Armistead PM, Wiltshire T, Mager DE, Weiner DL, Crona DJ. Evaluation of the performance of a prior tacrolimus population pharmacokinetic kidney transplant model among adult allogeneic hematopoietic stem cell transplant patients. Clin Transl Sci 2021; 14:908-918. [PMID: 33502111 PMCID: PMC8212733 DOI: 10.1111/cts.12956] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/02/2020] [Accepted: 12/03/2020] [Indexed: 12/11/2022] Open
Abstract
Abstract Tacrolimus is a calcineurin inhibitor used to prevent acute graft versus host disease in adult patients receiving allogeneic hematopoietic stem cell transplantation (HCT). Previous population pharmacokinetic (PK) models have been developed in solid organ transplant, yet none exists for patients receiving HCT. The primary objectives of this study were to (1) use a previously published population PK model in adult patients who underwent kidney transplant and apply it to allogeneic HCT; (2) evaluate model‐predicted tacrolimus steady‐state trough concentrations and simulations in patients receiving HCT; and (3) evaluate covariates that affect tacrolimus PK in allogeneic HCT. A total of 252 adult patients receiving allogeneic HCT were included in the study. They received oral tacrolimus twice daily (0.03 mg/kg) starting 3 days prior to transplant. Data for these analyses included baseline clinical and demographic data, genotype data for single nucleotide polymorphisms in CYP3A4/5 and ABCB1, and the first tacrolimus steady‐state trough concentration. A dosing simulation strategy based on observed trough concentrations (rather than model‐based predictions) resulted in 12% more patients successfully achieving tacrolimus trough concentrations within the institutional target range (5–10 ng/ml). Stepwise covariate analyses identified HLA match and conditioning regimen (myeloablative vs. reduced intensity) as significant covariates. Ultimately, a previously published tacrolimus population PK model in kidney transplant provided a platform to help establish a model‐based dose adjustment strategy in patients receiving allogenic HCT, and identified HCT‐specific covariates to be considered for future prospective studies. Study Highlights WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?
Tacrolimus is a cornerstone immunosuppressant used in patients who undergo organ transplantations. However, because of its narrow therapeutic index and wide interpatient pharmacokinetic (PK) variability, optimizing its dose is crucial to maximize efficacy and minimize tacrolimus‐induced toxicities. Prior to this study, no tacrolimus population PK models have been developed for adult patients receiving allogeneic hematopoietic stem cell transplantation (HCT). Therefore, research effort was warranted to develop a population PK model that begins to propose more precision tacrolimus dosing and begins to address both a clinical and scientific gap in this patient population.
WHAT QUESTION DID THIS STUDY ADDRESS?
The study addressed whether there is value in utilizing the observed tacrolimus steady‐state trough concentrations from patients receiving allogeneic HCT within the context of a pre‐existing population PK model developed for kidney transplant. The study also addressed whether there are clinically relevant covariates specific to adult patients receiving allogeneic HCT.
WHAT DOES THIS STUDY ADD TO OUR KNOWLEDGE?
Inclusion of a single steady‐state tacrolimus trough concentration is beneficial to model predictions. The dosing simulation strategy based on observed tacrolimus concentration, rather than the model‐predicted concentration, resulted in more patients achieving the target range at first steady‐state collection. Future studies should evaluate HLA matching and myeloablative conditioning versus reduced intensity conditioning regimens as covariates. These data and model‐informed dose adjustments should be included in future prospective studies. This research could also serve as a template as to how to assess the utility of prior information for other disease settings.
HOW MIGHT THIS CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE?
The M2 model fitting method and D2 dosing simulation method can be applied to other clinical pharmacology studies where only a single steady‐state trough concentration is available per patient in the presence of a previously published population PK model.
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Affiliation(s)
- Jing Zhu
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Olivia Campagne
- Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA.,Department of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Chad D Torrice
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Gabrielle Flynn
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Jordan A Miller
- Department of Pharmacy, University of North Carolina Hospitals and Clinics, Chapel Hill, North Carolina, USA
| | - Tejendra Patel
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Oscar Suzuki
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Jonathan R Ptachcinski
- Department of Pharmacy, University of North Carolina Hospitals and Clinics, Chapel Hill, North Carolina, USA.,Division of Practice Advancement and Clinical Education, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Paul M Armistead
- Division of Hematology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Tim Wiltshire
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Donald E Mager
- Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Daniel L Weiner
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Daniel J Crona
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.,Department of Pharmacy, University of North Carolina Hospitals and Clinics, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina, USA
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14
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Morbitzer KA, McLaughlin JE, Ozawa S, Beechinor R, Dumond J, Pomykal C, Bush A, Zhang Q, Carpenter D, Lee CR. Implementation and Initial Evaluation of a Research and Scholarship Training Pathway in a Doctor of Pharmacy Curriculum. AMERICAN JOURNAL OF PHARMACEUTICAL EDUCATION 2021; 85:8079. [PMID: 34281819 PMCID: PMC7829690 DOI: 10.5688/ajpe8079] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 09/14/2020] [Indexed: 05/03/2023]
Abstract
Objective. To design, implement, and assess the initial impact of a pharmacy student research and scholarship training pathway.Methods. The Research and Scholarship in Pharmacy (RASP) pathway was designed to create a longitudinal, elective pathway within a Doctor of Pharmacy (PharmD) curriculum at a single institution. The pathway consisted of three elective courses built around a faculty-mentored scholarly project where students framed an answerable question, generated and interpreted relevant data, and communicated their findings in oral and written form. Following implementation, a retrospective, multi-method analysis was conducted to evaluate the impact of the program on the initial two student cohorts that completed it and assess their perceptions of the value of the pathway.Results. Fifty students (25 in each of two cohorts) completed the three-course sequence. Students were supported by 33 distinct faculty mentors. Thirty-eight (76%) students presented an abstract derived from their project at a national meeting. The first cohort exit survey (96% response rate) revealed positive student perceptions regarding the value of and satisfaction with the research pathway. Twenty-three (96%) students were satisfied with their research experience, 21 (88%) were satisfied with their faculty mentor, and 24 (100%) were satisfied with their development of project management skills. In the first cohort, 10 (40%) students published an original research manuscript within one year of graduation.Conclusion. The Research and Scholarship in Pharmacy pathway feasibly and effectively provided a mechanism for students to engage in a faculty-mentored longitudinal research experience within a PharmD curriculum that promoted skill development and opportunities for scholarship. Initial implementation demonstrated high rates of student satisfaction, low rates of student attrition, and high rates of scholarly output.
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Affiliation(s)
- Kathryn A Morbitzer
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Jacqueline E McLaughlin
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Sachiko Ozawa
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Ryan Beechinor
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Julie Dumond
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Christina Pomykal
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Antonio Bush
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Qisheng Zhang
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Delesha Carpenter
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
| | - Craig R Lee
- University of North Carolina at Chapel Hill, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina
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15
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Zhu J, Pasternak AL, Crona DJ. The future of research into genetics and the precision dosing of tacrolimus: what do we need to know? Pharmacogenomics 2020; 21:1061-1064. [PMID: 32896220 DOI: 10.2217/pgs-2020-0093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Jing Zhu
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Amy L Pasternak
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USA.,Department of Pharmacy, Michigan Medicine, Ann Arbor, MI 48109, USA
| | - Daniel J Crona
- Division of Pharmacotherapy & Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC 27599, USA.,UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC 27599, USA.,Department of Pharmacy, UNC Hospitals & Clinics, Chapel Hill, NC 27514, USA
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16
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Impacts of High Intra- and Inter-Individual Variability in Tacrolimus Pharmacokinetics and Fast Tacrolimus Metabolism on Outcomes of Solid Organ Transplant Recipients. J Clin Med 2020; 9:jcm9072193. [PMID: 32664531 PMCID: PMC7408675 DOI: 10.3390/jcm9072193] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 07/09/2020] [Indexed: 12/14/2022] Open
Abstract
Tacrolimus is a first-line calcineurin inhibitor (CNI) and an integral part of the immunosuppressive strategy in solid organ transplantation. Being a dose-critical drug, tacrolimus has a narrow therapeutic index that necessitates periodic monitoring to maintain the drug’s efficacy and reduce the consequences of overexposure. Tacrolimus is characterized by substantial intra- and inter-individual pharmacokinetic variability. At steady state, the tacrolimus blood concentration to daily dose ratio (C/D ratio) has been described as a surrogate for the estimation of the individual metabolism rate, where a low C/D ratio reflects a higher rate of metabolism. Fast tacrolimus metabolism (low C/D ratio) is associated with the risk of poor outcomes after transplantation, including reduced allograft function and survival, higher allograft rejection, CNI nephrotoxicity, a faster decline in kidney function, reduced death-censored graft survival (DCGS), post-transplant lymphoproliferative disorders, dyslipidemia, hypertension, and cardiovascular events. In this article, we discuss the potential role of the C/D ratio in a noninvasive monitoring strategy for identifying patients at risk for potential adverse events post-transplant.
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