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For: Dorr CR, Wu B, Remmel RP, Muthusamy A, Schladt DP, Abrahante JE, Guan W, Mannon RB, Matas AJ, Oetting WS, Jacobson PA, Israni AK; for DeKAF Genomics. Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing. Pharmacogenomics J 2019;19:375-89. [PMID: 30442921 DOI: 10.1038/s41397-018-0063-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 09/11/2018] [Accepted: 09/27/2018] [Indexed: 12/26/2022]

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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Number Cited by Other Article(s)
1
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]
2
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]
3
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]
4
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
5
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
Study Highlights
  • 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
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]
7
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
8
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 DMETTM 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
9
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
10
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]
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