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Mohamed M, Guo B, Wu B, Schladt D, Muthusamy A, Guan W, Abrahante J, Onyeaghala G, Saqr A, Pankratz N, Agarwal G, Mannon R, Matas A, Oetting W, Remmel R, Israni A, Jacobson P, Dorr C. Extreme Phenotype Sampling and Next Generation Sequencing to Identify Genetic Variants Associated with Tacrolimus in African American Kidney Transplant Recipients. RESEARCH SQUARE 2024:rs.3.rs-4050136. [PMID: 38558983 PMCID: PMC10980152 DOI: 10.21203/rs.3.rs-4050136/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
African American (AA) kidney transplant recipients (KTRs) have poor outcomes, which may in-part be due to tacrolimus (TAC) sub-optimal immunosuppression. We previously determined the common genetic regulators of TAC pharmacokinetics in AAs which were CYP3A5 *3, *6, and *7. To identify low-frequency variants that impact TAC pharmacokinetics, we used extreme phenotype sampling and compared individuals with extreme high (n=58) and low (n=60) TAC troughs (N=515 AA KTRs). Targeted next generation sequencing was conducted in these two groups. Median TAC troughs in the high group were 7.7 ng/ml compared with 6.3 ng/ml in the low group, despite lower daily doses of 5 versus 12mg, respectively. Of 34,542 identified variants across 99 genes, 1,406 variants were suggestively associated with TAC troughs in univariate models (p-value <0.05), however none were significant after multiple testing correction. We suggest future studies investigate additional sources of TAC pharmacokinetic variability such as drug-drug-gene interactions and pharmacomicrobiome.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pamala Jacobson
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota
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2
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Everton JBF, Patrício FJB, Faria MS, Ferreira TCA, Filho NS, Silva GEB, Romão EA, Magalhães M. Impact of POR*28 Variant on Tacrolimus Pharmacokinetics in Kidney Transplant Patients with Different CYP3A5 Genotypes. Curr Drug Metab 2022; 23:233-241. [PMID: 35578867 DOI: 10.2174/1389200223666220516094226] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/28/2022] [Accepted: 02/24/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND The introduction of tacrolimus (TAC) in clinical practice was essential to the establishment of transplantation as therapy for patients with chronic renal disease. However, the higher interindividual variation of TAC metabolism has been an important limiting factor for its clinical use. Although the relationship between CYP3A5 polymorphisms and TAC pharmacokinetics (PK) is well established, the effects of other genetic variants on TAC metabolism, such as POR*28, still remain uncertain. OBJECTIVE To evaluate the impact of POR variants on TAC PK in renal transplant patients with different CYP3A5 genotypes (expressers and non-expressers). METHODS A total of 115 patients were included in this study. Genomic DNA was isolated from peripheral blood, and the real-time PCR technique was used to analyze the polymorphism POR rs1057868; C>T. RESULTS During the initial post-transplant period, variant allele carriers (*1/*28 and *28/*28) showed a lower TAC dose requirement than POR wild homozygotes (*1/*1). Regarding the influence of the different polymorphisms of POR within the CYP3A5 expresser and non-expresser groups, no differences were observed in any of the PK parameters analyzed during 12 months after transplantation. CONCLUSION In the studied population, the variant allelic POR*28 was significantly associated with lower TAC dose requirements and higher Co/D ratio in the first-month post-transplant. However, the effects of this polymorphism on the CYP3A5 enzyme activity were not observed.
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Affiliation(s)
- Janaina B F Everton
- Laboratory of Genomic and Histocompatibility Studies, University Hospital of the Federal University of Maranhão (HUUFMA/EBSERH), São Luís, Brazil.,Postgraduate Program in Adult Health (PPGSAD), Federal University of Maranhão (UFMA), São Luís, Brazil
| | - Fernando J B Patrício
- Laboratory of Genomic and Histocompatibility Studies, University Hospital of the Federal University of Maranhão (HUUFMA/EBSERH), São Luís, Brazil
| | - Manuel S Faria
- linical Research Center of the University Hospital of the Federal University of Maranhão (CEPEC/HUUFMA/EBSERH), São Luís, Brazil
| | - Teresa C A Ferreira
- Kidney Transplant Unit, University Hospital of the Federal University of Maranhão (HUUFMA/EBSERH), São Luís, Brazil
| | - Natalino Salgado Filho
- Nephrology Unit, University Hospital of the Federal University of Maranhão (HUUFMA/EBSERH), São Luís, Brazil
| | - Gyl E B Silva
- Pathology Unit, University Hospital of the Federal University of Maranhão (HUUFMA/EBSERH), São Luís, Brazil
| | - Elen A Romão
- Department of Internal Medicine, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Marcelo Magalhães
- Research and Extension Nucleus (NUPE), UNDB University Center, São Luís, Brazil
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3
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Yoon JG, Song SH, Choi S, Oh J, Jang IJ, Kim YJ, Moon S, Kim BJ, Cho Y, Kim HK, Min S, Ha J, Shin HS, Yang CW, Yoon HE, Yang J, Lee MG, Park JB, Kim MS. Unraveling the Genomic Architecture of the CYP3A Locus and ADME Genes for Personalized Tacrolimus Dosing. Transplantation 2021; 105:2213-2225. [PMID: 33654003 DOI: 10.1097/tp.0000000000003660] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Tacrolimus (TAC) is an immunosuppressant widely prescribed following an allogenic organ transplant. Due to wide interindividual pharmacokinetic (PK) variability, optimizing TAC dosing based on genetic factors is required to minimize nephrotoxicity and acute rejections. METHODS We enrolled 1133 participants receiving TAC from 4 cohorts, consisting of 3 with kidney transplant recipients and 1 with healthy males from clinical trials. The effects of clinical factors were estimated to appropriately control confounding variables. A genome-wide association study, haplotype analysis, and a gene-based association test were conducted using the Korea Biobank Array or targeted sequencing for 114 pharmacogenes. RESULTS Genome-wide association study verified that CYP3A5*3 is the only common variant associated with TAC PK variability in Koreans. We detected several CYP3A5 and CYP3A4 rare variants that could potentially affect TAC metabolism. The haplotype structure of CYP3A5 stratified by CYP3A5*3 was a significant factor for CYP3A5 rare variant interpretation. CYP3A4 rare variant carriers among CYP3A5 intermediate metabolizers displayed higher TAC trough levels. Gene-based association tests in the 61 absorption, distribution, metabolism, and excretion genes revealed that CYP1A1 are associated with additional TAC PK variability: CYP1A1 rare variant carriers among CYP3A5 poor metabolizers showed lower TAC trough levels than the noncarrier controls. CONCLUSIONS Our study demonstrates that rare variant profiling of CYP3A5 and CYP3A4, combined with the haplotype structures of CYP3A locus, provide additive value for personalized TAC dosing. We also identified a novel association between CYP1A1 rare variants and TAC PK variability in the CYP3A5 nonexpressers that needs to be further investigated.
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Affiliation(s)
- Jihoon G Yoon
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 PLUS Project for Medical Sciences, Severance Biomedical Science Institute, Seoul, Republic of Korea
| | - Seung Hwan Song
- Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Surgery, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea
| | - Sungkyoung Choi
- Department of Applied Mathematics, Hanyang University (ERICA), Ansan, Republic of Korea
| | - Jaeseong Oh
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - In-Jin Jang
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Young Jin Kim
- Division of Genome Research, Department of Precision Medicine, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Sanghoon Moon
- Division of Genome Research, Department of Precision Medicine, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Bong-Jo Kim
- Division of Genome Research, Department of Precision Medicine, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Yuri Cho
- Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyo Kee Kim
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sangil Min
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jongwon Ha
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
- Transplantation Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ho Sik Shin
- Division of Nephrology, Department of Internal Medicine, Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Chul Woo Yang
- Division of Nephrology, Department of Internal Medicine, Seoul St. Mary's Hospital, Seoul, Republic of Korea
| | - Hye Eun Yoon
- Divison of Nephrology, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Republic of Korea
| | - Jaeseok Yang
- Department of Surgery, Transplantation Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Min Goo Lee
- Department of Pharmacology, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 PLUS Project for Medical Sciences, Severance Biomedical Science Institute, Seoul, Republic of Korea
| | - Jae Berm Park
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Myoung Soo Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
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4
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Bishop JR, Huang RS, Brown JT, Mroz P, Johnson SG, Allen JD, Bielinski SJ, England J, Farley JF, Gregornik D, Giri J, Kroger C, Long SE, Luczak T, McGonagle EJ, Ma S, Matey ET, Mandic PK, Moyer AM, Nicholson WT, Petry N, Pawloski PA, Schlichte A, Schondelmeyer SW, Seifert RD, Speedie MK, Stenehjem D, Straka RJ, Wachtl J, Waring SC, Ness BV, Zierhut HA, Aliferis C, Wolf SM, McCarty CA, Jacobson PA. Pharmacogenomics education, research and clinical implementation in the state of Minnesota. Pharmacogenomics 2021; 22:681-691. [PMID: 34137665 DOI: 10.2217/pgs-2021-0058] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Several healthcare organizations across Minnesota have developed formal pharmacogenomic (PGx) clinical programs to increase drug safety and effectiveness. Healthcare professional and student education is strong and there are multiple opportunities in the state for learners to gain workforce skills and develop advanced competency in PGx. Implementation planning is occurring at several organizations and others have incorporated structured utilization of PGx into routine workflows. Laboratory-based and translational PGx research in Minnesota has driven important discoveries in several therapeutic areas. This article reviews the state of PGx activities in Minnesota including educational programs, research, national consortia involvement, technology, clinical implementation and utilization and reimbursement, and outlines the challenges and opportunities in equitable implementation of these advances.
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Affiliation(s)
- Jeffrey R Bishop
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA.,Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - R Stephanie Huang
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Jacob T Brown
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA
| | - Pawel Mroz
- Department of Laboratory Medicine & Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Steven G Johnson
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Josiah D Allen
- University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA.,Medigenics Consulting LLC, Minneapolis, MN 55407, USA
| | - Suzette J Bielinski
- Department of Quantitative Health Sciences, Division of Epidemiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Joel F Farley
- Department of Pharmaceutical Care & Health Systems, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - David Gregornik
- Pharmacogenomics Program, Children's Minnesota, Minneapolis, MN 55407, USA
| | - Jyothsna Giri
- Mayo Clinic Center for Individualized Medicine, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Susie E Long
- MHealth Fairview. Acute Care Pharmacy Services, Minneapolis, MN 55455, USA
| | - Tiana Luczak
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA.,Essentia Health, Duluth, MN 55805, USA
| | - Erin J McGonagle
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Sisi Ma
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Eric T Matey
- Department of Pharmacy, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | - Pinar K Mandic
- Department of Finance, University of Minnesota Carlson School of Management, Minneapolis, MN 55455, USA
| | - Ann M Moyer
- Department of Laboratory Medicine & Pathology, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | - Wayne T Nicholson
- Department of Anesthesiology & Perioperative Medicine, Mayo Clinic College of Medicine & Science, Mayo Clinic, Rochester, MN 55905, USA
| | - Natasha Petry
- Sanford Health Imagenetics, Sioux Falls, SD 57105, USA.,Department of Pharmacy Practice, North Dakota State University College of Health Professions, Fargo, ND 58108, USA
| | | | | | - Stephen W Schondelmeyer
- Department of Pharmaceutical Care & Health Systems, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Randall D Seifert
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA
| | - Marilyn K Speedie
- Department of Medicinal Chemistry, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - David Stenehjem
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota College of Pharmacy, Duluth, MN 55812, USA
| | - Robert J Straka
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
| | - Jason Wachtl
- Geritom Medical, Inc, Bloomington, MN 55438, USA
| | | | - Brian Van Ness
- Department of Genetics, Cell Biology & Development, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Heather A Zierhut
- Department of Genetics, Cell Biology & Development, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Constantin Aliferis
- Institute for Health Informatics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Susan M Wolf
- Law School, Medical School, Consortium on Law & Values in Health, Environment & the Life Sciences, University of Minnesota, Minneapolis, MN 55455, USA
| | - Catherine A McCarty
- Department of Family Medicine & Biobehavioral Health, University of Minnesota Medical School, Duluth, MN 55812, USA
| | - Pamala A Jacobson
- Department of Experimental & Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, USA
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5
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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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6
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Everton JBF, Patrício FJB, Faria MS, Ferreira TCA, Romao EA, Silva GEB, Magalhães M. CYP3A5 and PPARA genetic variants are associated with low trough concentration to dose ratio of tacrolimus in kidney transplant recipients. Eur J Clin Pharmacol 2021; 77:879-886. [PMID: 33398393 DOI: 10.1007/s00228-020-03076-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/22/2020] [Indexed: 12/23/2022]
Abstract
PURPOSE Genetic polymorphisms have been associated with variation in the metabolism of tacrolimus (TAC) in kidney transplant patients. This study is aimed at assessing the impact of allelic variants of CYP3A5 and PPARA genes on the pharmacokinetics (PK) of TAC in Brazilian kidney transplant recipients in the first-year post-transplant. METHODS A total of 127 patients were included for genetic evaluation. Genomic DNA was isolated from peripheral blood and real-time PCR was used to analyze the main polymorphisms described for the genes CYP3A5 (rs776746; C > G) and PPARA (rs4823613; A > G and rs4253728; G > A). RESULTS CYP3A5 expressors showed a lower Co/dose ratio than non-expressors, with the median values of this parameter <1.01 ng/mL/mg in the first group at all evaluated times. Additionally, PPARA variant homozygotes had a lower Co/D ratio than wild allele carriers in the 12-month post-transplant period, with a median value of 0.65 ng/mL/mg. In the CYP3A5 expressers, the presence of the variant homozygous genotype PPARA was associated with a lower value of Co/D compared with the other genotypic groups at month 12. CONCLUSION In the population under study, polymorphisms on CYP3A5 and PPARA were identified as determining and independent factors associated with the reduction of Co/D of TAC. Thus, the genotyping of these genetic variants may be a useful tool for the individualized prescription of TAC in kidney transplant patients.
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Affiliation(s)
- Janaína B F Everton
- Laboratory of Genomic and Histocompatibility Studies, University Hospital of the Federal University of Maranhão, São Luís, Brazil.,Postgraduate Program in Adult Health (PPGSAD), Federal University of Maranhão, São Luís, Brazil
| | - Fernando J B Patrício
- Laboratory of Genomic and Histocompatibility Studies, University Hospital of the Federal University of Maranhão, São Luís, Brazil
| | - Manuel S Faria
- Postgraduate Program in Adult Health (PPGSAD), Federal University of Maranhão, São Luís, Brazil.,Clinical Research Center, University Hospital of the Federal University of Maranhão, São Luís, Brazil
| | - Teresa C A Ferreira
- Kidney Transplant Unit, University Hospital of the Federal University of Maranhão, São Luís, Brazil
| | - Elen A Romao
- Department of Internal Medicine, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | - Gyl E B Silva
- Postgraduate Program in Adult Health (PPGSAD), Federal University of Maranhão, São Luís, Brazil.,Pathology Unit, University Hospital of the Federal University of Maranhão, São Luís, Brazil
| | - Marcelo Magalhães
- Laboratory of Genomic and Histocompatibility Studies, University Hospital of the Federal University of Maranhão, São Luís, Brazil. .,Postgraduate Program in Adult Health (PPGSAD), Federal University of Maranhão, São Luís, Brazil. .,Clinical Research Center, University Hospital of the Federal University of Maranhão, São Luís, Brazil.
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7
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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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8
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Gim JA, Kwon Y, Lee HA, Lee KR, Kim S, Choi Y, Kim YK, Lee H. A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMET TM Plus Platform. Int J Mol Sci 2020; 21:E2517. [PMID: 32260456 PMCID: PMC7178269 DOI: 10.3390/ijms21072517] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 03/29/2020] [Accepted: 04/02/2020] [Indexed: 12/15/2022] Open
Abstract
Tacrolimus is an immunosuppressive drug with a narrow therapeutic index and larger interindividual variability. We identified genetic variants to predict tacrolimus exposure in healthy Korean males using machine learning algorithms such as decision tree, random forest, and least absolute shrinkage and selection operator (LASSO) regression. rs776746 (CYP3A5) and rs1137115 (CYP2A6) are single nucleotide polymorphisms (SNPs) that can affect exposure to tacrolimus. A decision tree, when coupled with random forest analysis, is an efficient tool for predicting the exposure to tacrolimus based on genotype. These tools are helpful to determine an individualized dose of tacrolimus.
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Affiliation(s)
- Jeong-An Gim
- Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 16229, Korea; (J.-A.G.); (Y.K.); (H.A.L.); (K.-R.L.); (S.K.)
- Medical Science Research Center, College of Medicine, Korea University, Seoul 02841, Korea
| | - Yonghan Kwon
- Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 16229, Korea; (J.-A.G.); (Y.K.); (H.A.L.); (K.-R.L.); (S.K.)
- Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul 03722, Korea
| | - Hyun A Lee
- Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 16229, Korea; (J.-A.G.); (Y.K.); (H.A.L.); (K.-R.L.); (S.K.)
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Korea
| | - Kyeong-Ryoon Lee
- Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 16229, Korea; (J.-A.G.); (Y.K.); (H.A.L.); (K.-R.L.); (S.K.)
- Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Ochang, Chungbuk 28116, Korea
| | - Soohyun Kim
- Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 16229, Korea; (J.-A.G.); (Y.K.); (H.A.L.); (K.-R.L.); (S.K.)
| | | | - Yu Kyong Kim
- Daewoong Pharmaceutical Co., Ltd., Seoul 06170, Korea;
| | - Howard Lee
- Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 16229, Korea; (J.-A.G.); (Y.K.); (H.A.L.); (K.-R.L.); (S.K.)
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul 03080, Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 03080, Korea
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9
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Influence of Germline Genetics on Tacrolimus Pharmacokinetics and Pharmacodynamics in Allogeneic Hematopoietic Stem Cell Transplant Patients. Int J Mol Sci 2020; 21:ijms21030858. [PMID: 32013193 PMCID: PMC7037631 DOI: 10.3390/ijms21030858] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Revised: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 02/06/2023] Open
Abstract
Tacrolimus exhibits high inter-patient pharmacokinetics (PK) variability, as well as a narrow therapeutic index, and therefore requires therapeutic drug monitoring. Germline mutations in cytochrome P450 isoforms 4 and 5 genes (CYP3A4/5) and the ATP-binding cassette B1 gene (ABCB1) may contribute to interindividual tacrolimus PK variability, which may impact clinical outcomes among allogeneic hematopoietic stem cell transplantation (HSCT) patients. In this study, 252 adult patients who received tacrolimus for acute graft versus host disease (aGVHD) prophylaxis after allogeneic HSCT were genotyped to evaluate if germline genetic variants associated with tacrolimus PK and pharmacodynamic (PD) variability. Significant associations were detected between germline variants in CYP3A4/5 and ABCB1 and PK endpoints (e.g., median steady-state tacrolimus concentrations and time to goal tacrolimus concentration). However, significant associations were not observed between CYP3A4/5 or ABCB1 germline variants and PD endpoints (e.g., aGVHD and treatment-emergent nephrotoxicity). Decreased age and CYP3A5*1/*1 genotype were independently associated with subtherapeutic tacrolimus trough concentrations while CYP3A5*1*3 or CYP3A5*3/*3 genotypes, myeloablative allogeneic HSCT conditioning regimen (MAC) and increased weight were independently associated with supratherapeutic tacrolimus trough concentrations. Future lines of prospective research inquiry are warranted to use both germline genetic and clinical data to develop precision dosing tools that will optimize both tacrolimus dosing and clinical outcomes among adult HSCT patients.
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10
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Mohamed ME, Schladt DP, Guan W, Wu B, van Setten J, Keating B, Iklé D, Remmel RP, Dorr CR, Mannon RB, Matas AJ, Israni AK, Oetting WS, Jacobson PA. Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups. Am J Transplant 2019; 19:2795-2804. [PMID: 30953600 PMCID: PMC6763344 DOI: 10.1111/ajt.15385] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/04/2019] [Accepted: 03/28/2019] [Indexed: 02/06/2023]
Abstract
Tacrolimus trough and dose requirements vary dramatically between individuals of European and African American ancestry. These differences are less well described in other populations. We conducted an observational, prospective, multicenter study from which 2595 kidney transplant recipients of European, African, Native American, and Asian ancestry were studied for tacrolimus trough, doses, and genetic determinants of metabolism. We studied the well-known variants and conducted a CYP3A4/5 gene-wide analysis to identify new variants. Daily doses, and dose-normalized troughs were significantly different between the four groups (P < .001). CYP3A5*3 (rs776746) was associated with higher dose-normalized tacrolimus troughs in all groups but occurred at different allele frequencies and had differing effect sizes. The CYP3A5*6 (rs10264272) and *7 (rs413003343) variants were only present in African Americans. CYP3A4*22 (rs35599367) was not found in any of the Asian ancestry samples. We identified seven suggestive variants in the CYP3A4/5 genes associated with dose-normalized troughs in Native Americans (P = 1.1 × 10-5 -8.8 × 10-6 ) and one suggestive variant in Asian Americans (P = 5.6 × 10-6 ). Tacrolimus daily doses and dose-normalized troughs vary significantly among different ancestry groups. We identified potential new variants important in Asians and Native Americans. Studies with larger populations should be conducted to assess the importance of the identified suggestive variants.
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Affiliation(s)
- Moataz E. Mohamed
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA,Department of Pharmacy Practice, Faculty of Pharmacy, Helwan University, Cairo, Egypt
| | | | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Baolin Wu
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Jessica van Setten
- Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands
| | - Brendan Keating
- Department of Surgery, School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Rory P. Remmel
- Department of Medicinal Chemistry, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Casey R. Dorr
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA,Department of Medicine, University of Minnesota, Hennepin Healthcare, Minneapolis, MN
| | | | - Arthur J. Matas
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | - Ajay K. Israni
- Hennepin Healthcare Research Institute, Minneapolis, MN, USA,Department of Medicine, University of Minnesota, Hennepin Healthcare, Minneapolis, MN,Department of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN, USA
| | - William S. Oetting
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
| | - Pamala A. Jacobson
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, USA
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