Literature DB >> 19536049

New insights into the pharmacokinetics and pharmacodynamics of the calcineurin inhibitors and mycophenolic acid: possible consequences for therapeutic drug monitoring in solid organ transplantation.

Hylke de Jonge1, Maarten Naesens, Dirk R J Kuypers.   

Abstract

Although therapeutic drug monitoring (TDM) of immunosuppressive drugs has been an integral part of routine clinical practice in solid organ transplantation for many years, ongoing research in the field of immunosuppressive drug metabolism, pharmacokinetics, pharmacogenetics, pharmacodynamics, and clinical TDM keeps yielding new insights that might have future clinical implications. In this review, the authors will highlight some of these new insights for the calcineurin inhibitors (CNIs) cyclosporine and tacrolimus and the antimetabolite mycophenolic acid (MPA) and will discuss the possible consequences. For CNIs, important relevant lessons for TDM can be learned from the results of 2 recently published large CNI minimization trials. Furthermore, because acute rejection and drug-related adverse events do occur despite routine application of CNI TDM, alternative approaches to better predict the dose-concentration-response relationship in the individual patient are being explored. Monitoring of CNI concentrations in lymphocytes and other tissues, determination of CNI metabolites, and CNI pharmacogenetics and pharmacodynamics are in their infancy but have the potential to become useful additions to conventional CNI TDM. Although MPA is usually administered at a fixed dose, there is a rationale for MPA TDM, and this is substantiated by the increasing knowledge of the many nongenetic and genetic factors contributing to the interindividual and intraindividual variability in MPA pharmacokinetics. However, recent, large, randomized clinical trials investigating the clinical utility of MPA TDM have reported conflicting data. Therefore, alternative pharmacokinetic (ie, MPA free fraction and metabolites) and pharmacodynamic approaches to better predict drug efficacy and toxicity are being explored. Finally, for MPA and tacrolimus, novel formulations have become available. For MPA, the differences in pharmacokinetic behavior between the old and the novel formulation will have implications for TDM, whereas for tacrolimus, this probably will not to be the case.

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Year:  2009        PMID: 19536049     DOI: 10.1097/FTD.0b013e3181aa36cd

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  33 in total

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Journal:  Dig Dis Sci       Date:  2012-04-03       Impact factor: 3.199

2.  Population pharmacokinetic analysis of tacrolimus in Mexican paediatric renal transplant patients: role of CYP3A5 genotype and formulation.

Authors:  Carlos Orlando Jacobo-Cabral; Pilar García-Roca; Elba Margarita Romero-Tejeda; Herlinda Reyes; Mara Medeiros; Gilberto Castañeda-Hernández; Iñaki F Trocóniz
Journal:  Br J Clin Pharmacol       Date:  2015-06-22       Impact factor: 4.335

3.  Investigation of the Association Between Total and Free Plasma and Saliva Mycophenolic Acid Concentrations Following Administration of Enteric-Coated Mycophenolate Sodium in Adult Kidney Transplant Recipients.

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Brett McWhinney; Christine E Staatz
Journal:  Clin Drug Investig       Date:  2019-12       Impact factor: 2.859

4.  The impact of tacrolimus exposure on extrarenal adverse effects in adult renal transplant recipients.

Authors:  Olivia Campagne; Donald E Mager; Daniel Brazeau; Rocco C Venuto; Kathleen M Tornatore
Journal:  Br J Clin Pharmacol       Date:  2019-01-04       Impact factor: 4.335

5.  The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients.

Authors:  Kelly A Birdwell; Ben Grady; Leena Choi; Hua Xu; Aihua Bian; Josh C Denny; Min Jiang; Gayle Vranic; Melissa Basford; James D Cowan; Danielle M Richardson; Melanie P Robinson; Talat Alp Ikizler; Marylyn D Ritchie; Charles Michael Stein; David W Haas
Journal:  Pharmacogenet Genomics       Date:  2012-01       Impact factor: 2.089

6.  Tacrolimus concentration to dose ratio in solid organ transplant patients treated with fecal microbiota transplantation for recurrent Clostridium difficile infection.

Authors:  Michael H Woodworth; Colleen S Kraft; Erika J Meredith; Aneesh K Mehta; Tiffany Wang; Yafet T Mamo; Tanvi Dhere; Kaitlin L Sitchenko; Rachel E Patzer; Rachel J Friedman-Moraco
Journal:  Transpl Infect Dis       Date:  2018-03-13       Impact factor: 2.228

7.  Progressive decline in tacrolimus clearance after renal transplantation is partially explained by decreasing CYP3A4 activity and increasing haematocrit.

Authors:  Hylke de Jonge; Thomas Vanhove; Henriëtte de Loor; Kristin Verbeke; Dirk R J Kuypers
Journal:  Br J Clin Pharmacol       Date:  2015-08-03       Impact factor: 4.335

8.  Tacrolimus Population Pharmacokinetics and Multiple CYP3A5 Genotypes in Black and White Renal Transplant Recipients.

Authors:  Olivia Campagne; Donald E Mager; Daniel Brazeau; Rocco C Venuto; Kathleen M Tornatore
Journal:  J Clin Pharmacol       Date:  2018-05-18       Impact factor: 3.126

Review 9.  Pharmacokinetics, Pharmacodynamics and Pharmacogenomics of Immunosuppressants in Allogeneic Haematopoietic Cell Transplantation: Part I.

Authors:  Jeannine S McCune; Meagan J Bemer
Journal:  Clin Pharmacokinet       Date:  2016-05       Impact factor: 6.447

10.  The CYP3A4*22 C>T single nucleotide polymorphism is associated with reduced midazolam and tacrolimus clearance in stable renal allograft recipients.

Authors:  H de Jonge; L Elens; H de Loor; R H van Schaik; D R J Kuypers
Journal:  Pharmacogenomics J       Date:  2014-10-07       Impact factor: 3.550

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