Literature DB >> 26469711

Pharmacogenetic Biomarkers Predictive of the Pharmacokinetics and Pharmacodynamics of Immunosuppressive Drugs.

Nicolas Picard1, Stein Bergan, Pierre Marquet, Teun van Gelder, Pierre Wallemacq, Dennis A Hesselink, Vincent Haufroid.   

Abstract

In association with therapeutic drug monitoring of immunosuppressive drugs, pharmacogenetics has rapidly emerged as an additional tool to refine dose selection or, more interestingly to select, a priori, the first dose to administer. Pharmacogenetic biomarkers are now readily available in most transplantation centers, at a limited cost and within a limited analytical time frame, which make them compatible with the clinical decision process. However, despite some evidence of clear associations between polymorphisms in genes encoding metabolizing enzymes (CYP3A4/3A5, UGT1A9) or drug transporters (ABCB1, ABCC2, SLCO1B1) and pharmacokinetics of several immunosuppressive drugs, pre-emptive genotyping and selection of the optimal starting dose based on the genetic background of the patient is still rarely performed in clinical practice. The main reason is probably the lack of formal proof that clinical outcome really improves after genotype-based dosing. So far, the only clinical recommendation in relation to pharmacogenetic biomarkers should be a doubling of the starting tacrolimus dose in patients who are CYP3A5 expressers, and even in this case, some authors still do not recommend pre-emptive genotyping but only genotype-based adaptation if the CYP3A5 genotype is already known. However, with the rise of new technologies, as next generation sequencing, allowing to obtain pre-emptive genetic information, one must be aware that the question will no longer be whether to genotype or not but rather whether or not to use the information already there. There was therefore a need to update the information available in relation to pharmacogenetic biomarkers for calcineurin inhibitors, mycophenolic acid, and mammalian target of rapamycin inhibitors.

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Year:  2016        PMID: 26469711     DOI: 10.1097/FTD.0000000000000255

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


  19 in total

1.  The impact of liver transplant recipient and donor genetic variability on tacrolimus exposure and transplant outcome.

Authors:  Janet K Coller; Jeyamani Ramachandran; Libby John; Jonathan Tuke; Alan Wigg; Matthew Doogue
Journal:  Br J Clin Pharmacol       Date:  2019-07-24       Impact factor: 4.335

2.  Dosage Optimization Based on Population Pharmacokinetic Analysis of Tacrolimus in Chinese Patients with Nephrotic Syndrome.

Authors:  Tong Lu; Xu Zhu; Shansen Xu; Mingming Zhao; Xueshi Huang; Zhanyou Wang; Limei Zhao
Journal:  Pharm Res       Date:  2019-02-04       Impact factor: 4.200

3.  Steady-state pharmacokinetics of mycophenolic acid in renal transplant patients: exploratory analysis of the effects of cyclosporine, recipients' and donors' ABCC2 gene variants, and their interactions.

Authors:  N Božina; Z Lalić; S Nađ-Škegro; A Borić-Bilušić; T Božina; Ž Kaštelan; V Trkulja
Journal:  Eur J Clin Pharmacol       Date:  2017-06-18       Impact factor: 2.953

Review 4.  Pharmacogenetics of Membrane Transporters of Tacrolimus in Solid Organ Transplantation.

Authors:  Camille Tron; Florian Lemaitre; Céline Verstuyft; Antoine Petitcollin; Marie-Clémence Verdier; Eric Bellissant
Journal:  Clin Pharmacokinet       Date:  2019-05       Impact factor: 6.447

5.  Polypharmacy: a healthcare conundrum with a pharmacogenetic solution.

Authors:  Cierra N Sharp; Mark W Linder; Roland Valdes
Journal:  Crit Rev Clin Lab Sci       Date:  2019-11-02       Impact factor: 6.250

6.  The pharmacokinetics of tacrolimus in peripheral blood mononuclear cells and limited sampling strategy for estimation of exposure in renal transplant recipients.

Authors:  Xi-Han Wang; Kun Shao; Hui-Min An; Xiao-Hui Zhai; Pei-Jun Zhou; Bing Chen
Journal:  Eur J Clin Pharmacol       Date:  2022-05-10       Impact factor: 3.064

7.  Meta-analysis of the associations of IMPDH and UGT1A9 polymorphisms with rejection in kidney transplant recipients taking mycophenolic acid.

Authors:  Lin Cheng; Pu Yao; Bangbi Weng; Ming Yang; Qian Wang
Journal:  Eur J Clin Pharmacol       Date:  2022-05-07       Impact factor: 3.064

8.  Rescue of Learning and Memory Deficits in the Human Nonsyndromic Intellectual Disability Cereblon Knock-Out Mouse Model by Targeting the AMP-Activated Protein Kinase-mTORC1 Translational Pathway.

Authors:  Charlotte C Bavley; Richard C Rice; Delaney K Fischer; Amanda K Fakira; Maureen Byrne; Maria Kosovsky; Bryant K Rizzo; Dolores Del Prete; Armin Alaedini; Jose A Morón; Joseph J Higgins; Luciano D'Adamio; Anjali M Rajadhyaksha
Journal:  J Neurosci       Date:  2018-02-19       Impact factor: 6.167

9.  Concepts of Genomics in Kidney Transplantation.

Authors:  William S Oetting; Casey Dorr; Rory P Remmel; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Curr Transplant Rep       Date:  2017-05-24

10.  A Population Pharmacokinetic Model to Predict the Individual Starting Dose of Tacrolimus Following Pediatric Renal Transplantation.

Authors:  Louise M Andrews; Dennis A Hesselink; Teun van Gelder; Birgit C P Koch; Elisabeth A M Cornelissen; Roger J M Brüggemann; Ron H N van Schaik; Saskia N de Wildt; Karlien Cransberg; Brenda C M de Winter
Journal:  Clin Pharmacokinet       Date:  2018-04       Impact factor: 6.447

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