Literature DB >> 25142246

Tacrolimus pharmacodynamics and pharmacogenetics along the calcineurin pathway in human lymphocytes.

Ofelia M Noceti1, Jean-Baptiste Woillard2, Ahmed Boumediene3, Patricia Esperón4, Jean-Luc Taupin5, Solange Gerona6, Marcelo Valverde6, Cristina Touriño7, Pierre Marquet8.   

Abstract

BACKGROUND: Although therapeutic drug monitoring has improved the clinical use of immunosuppressive drugs, there is still interpatient variability in efficacy and toxicity that pharmacodynamic monitoring may help to reduce. To select the best biomarkers of tacrolimus pharmacodynamics, we explored the strength and variability of signal transduction and the influence of polymorphisms along the calcineurin pathway.
METHODS: Peripheral blood mononuclear cells from 35 healthy volunteers were incubated with tacrolimus (0.1-50 ng/mL) and stimulated ex vivo. Inhibition of NFAT1 (nuclear factor of activated T cells 1) translocation to the nucleus and intracellular expression of interleukin-2 in CD4(+) and CD8(+) T cells and the surface activation marker CD25 in CD3(+) cells were measured by flow cytometry. We sequenced the promoter regions of immunophilins and calcineurin subunits and characterized selected single nucleotide polymorphisms in the genes of the calcineurin pathway with allelic discrimination assays.
RESULTS: All responses closely fitted an I/Imax sigmoid model. Large interindividual variability (n = 30) in I0 and IC50 was found for all biomarkers. Moreover, strong and statistically significant associations were found between tacrolimus pharmacodynamic parameters and polymorphisms in the genes coding cyclophilin A, the calcineurin catalytic subunit α isoenzyme, and CD25.
CONCLUSIONS: This study demonstrates the consistency and large interindividual variability of signal transduction along the calcineurin pathway, as well as the strong influence of pharmacogenetic polymorphisms in the calcineurin cascade on both the physiological activity of this route and tacrolimus pharmacodynamics.
© 2014 American Association for Clinical Chemistry.

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Year:  2014        PMID: 25142246     DOI: 10.1373/clinchem.2014.223511

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  4 in total

1.  Exploring genetic and non-genetic risk factors for delayed graft function, acute and subclinical rejection in renal transplant recipients.

Authors:  Dirk Jan A R Moes; Rogier R Press; Oliver Ackaert; Bart A Ploeger; Frederike J Bemelman; Cheikh Diack; Judith A M Wessels; Tahar van der Straaten; Meindert Danhof; Jan-Stephan F Sanders; Jaap J Homan van der Heide; Henk Jan Guchelaar; Johan W de Fijter
Journal:  Br J Clin Pharmacol       Date:  2016-05-10       Impact factor: 4.335

2.  Pharmacogenetic-Whole blood and intracellular pharmacokinetic-Pharmacodynamic (PG-PK2-PD) relationship of tacrolimus in liver transplant recipients.

Authors:  Camille Tron; Jean-Baptiste Woillard; Pauline Houssel-Debry; Véronique David; Caroline Jezequel; Michel Rayar; David Balakirouchenane; Benoit Blanchet; Jean Debord; Antoine Petitcollin; Mickaël Roussel; Marie-Clémence Verdier; Eric Bellissant; Florian Lemaitre
Journal:  PLoS One       Date:  2020-03-12       Impact factor: 3.240

3.  Association of the PPP3CA c.249G>A variant with clinical outcomes of tacrolimus-based therapy in kidney transplant recipients.

Authors:  Patricia C Salgado; Fabiana Dv Genvigir; Claudia R Felipe; Helio Tedesco-Silva; Jose O Medina-Pestana; Sonia Q Doi; Mario H Hirata; Rosario Dc Hirata
Journal:  Pharmgenomics Pers Med       Date:  2017-03-31

4.  Immunomonitoring of Tacrolimus in Healthy Volunteers: The First Step from PK- to PD-Based Therapeutic Drug Monitoring?

Authors:  Aliede E In 't Veld; Hendrika W Grievink; Mahdi Saghari; Frederik E Stuurman; Marieke L de Kam; Aiko P J de Vries; Brenda C M de Winter; Jacobus Burggraaf; Adam F Cohen; Matthijs Moerland
Journal:  Int J Mol Sci       Date:  2019-09-23       Impact factor: 5.923

  4 in total

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