Literature DB >> 25247332

Pharmacogenetics and immunosuppressive drugs in solid organ transplantation.

Teun van Gelder1, Ron H van Schaik2, Dennis A Hesselink3.   

Abstract

The transplantation literature includes numerous papers that report associations between polymorphisms in genes encoding metabolizing enzymes and drug transporters, and pharmacokinetic data on immunosuppressive drugs. Most of these studies are retrospective in design, and although a substantial number report significant associations, pharmacogenetic tests are hardly used in clinical practice. One of the reasons for this poor implementation is the current lack of evidence of improved clinical outcome with pharmacogenetic testing. Furthermore, with efficient therapeutic drug monitoring it is possible to rapidly correct for the effect of genotypic deviations on pharmacokinetics, thereby decreasing the utility of genotype-based dosing. The future of pharmacogenetics will be in treatment models in which patient characteristics are combined with data on polymorphisms in multiple genes. These models should focus on pharmacodynamic parameters, variations in the expression of drug transporter proteins, and predictors of toxicity. Such models will provide more information than the relatively small candidate gene studies performed so far. For implementation of these models into clinical practice, linkage of genotype data to medication prescription systems within electronic health records will be crucial.

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Year:  2014        PMID: 25247332     DOI: 10.1038/nrneph.2014.172

Source DB:  PubMed          Journal:  Nat Rev Nephrol        ISSN: 1759-5061            Impact factor:   28.314


  96 in total

1.  Dosing equation for tacrolimus using genetic variants and clinical factors.

Authors:  Chaitali Passey; Angela K Birnbaum; Richard C Brundage; William S Oetting; Ajay K Israni; Pamala A Jacobson
Journal:  Br J Clin Pharmacol       Date:  2011-12       Impact factor: 4.335

2.  Pharmacodynamic monitoring of mycophenolate mofetil.

Authors:  K Budde; P Glander; S Bauer; K Braun; J Waiser; L Fritsche; I Mai; I Roots; H H Neumayer
Journal:  Clin Chem Lab Med       Date:  2000-11       Impact factor: 3.694

3.  The CYP3A4*22 allele affects the predictive value of a pharmacogenetic algorithm predicting tacrolimus predose concentrations.

Authors:  Laure Elens; Dennis A Hesselink; Ron H N van Schaik; Teun van Gelder
Journal:  Br J Clin Pharmacol       Date:  2013-06       Impact factor: 4.335

4.  Population pharmacokinetics and pharmacogenetics of everolimus in renal transplant patients.

Authors:  Dirk Jan A R Moes; Rogier R Press; Jan den Hartigh; Tahar van der Straaten; Johan W de Fijter; Henk-Jan Guchelaar
Journal:  Clin Pharmacokinet       Date:  2012-07-01       Impact factor: 6.447

Review 5.  The pharmacogenetics of calcineurin inhibitor-related nephrotoxicity.

Authors:  Dennis A Hesselink; Rachida Bouamar; Teun van Gelder
Journal:  Ther Drug Monit       Date:  2010-08       Impact factor: 3.681

6.  Long-term results of TPMT activity monitoring in azathioprine-treated renal allograft recipients.

Authors:  Eric Thervet; Dany Anglicheau; Nathalie Toledano; Anne-Marie Houllier; Laure-Hélène Noel; Henri Kreis; Philippe Beaune; Christophe Legendre
Journal:  J Am Soc Nephrol       Date:  2001-01       Impact factor: 10.121

7.  Pre-transplant inosine monophosphate dehydrogenase activity is associated with clinical outcome after renal transplantation.

Authors:  Petra Glander; Pia Hambach; Kay-Patrick Braun; Lutz Fritsche; Markus Giessing; Ingnid Mai; Gunilla Einecke; Johannes Waiser; Hans-Hellmut Neumayer; Klemens Budde
Journal:  Am J Transplant       Date:  2004-12       Impact factor: 8.086

8.  The prevalence of uridine diphosphate-glucuronosyltransferase 1A9 (UGT1A9) gene promoter region single-nucleotide polymorphisms T-275A and C-2152T and its influence on mycophenolic acid pharmacokinetics in stable renal transplant patients.

Authors:  A I Sánchez-Fructuoso; M L Maestro; N Calvo; M Viudarreta; I Pérez-Flores; S Veganzone; V De la Orden; D Ortega; M Arroyo; A Barrientos
Journal:  Transplant Proc       Date:  2009 Jul-Aug       Impact factor: 1.066

9.  Donor age and ABCB1 1199G>A genetic polymorphism are independent factors affecting long-term renal function after kidney transplantation.

Authors:  Martine De Meyer; Vincent Haufroid; Laure Elens; Fabio Fusaro; Damiano Patrono; Luc De Pauw; Nada Kanaan; Eric Goffin; Michel Mourad
Journal:  J Surg Res       Date:  2012-07-20       Impact factor: 2.192

10.  UGT1A9, UGT2B7, and MRP2 genotypes can predict mycophenolic acid pharmacokinetic variability in pediatric kidney transplant recipients.

Authors:  Tsuyoshi Fukuda; Jens Goebel; Shareen Cox; Denise Maseck; Kejian Zhang; Joseph R Sherbotie; Eileen N Ellis; Laura P James; Robert M Ward; Alexander A Vinks
Journal:  Ther Drug Monit       Date:  2012-12       Impact factor: 3.681

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  28 in total

1.  The glutathione transferase Mu null genotype leads to lower 6-MMPR levels in patients treated with azathioprine but not with mercaptopurine.

Authors:  M M T J Broekman; D R Wong; G J A Wanten; H M Roelofs; C J van Marrewijk; O H Klungel; A L M Verbeek; P M Hooymans; H-J Guchelaar; H Scheffer; L J J Derijks; M J H Coenen; D J de Jong
Journal:  Pharmacogenomics J       Date:  2017-01-03       Impact factor: 3.550

2.  Maintenance of normal blood pressure is dependent on IP3R1-mediated regulation of eNOS.

Authors:  Qi Yuan; Jingyi Yang; Gaetano Santulli; Steven R Reiken; Anetta Wronska; Mindy M Kim; Brent W Osborne; Alain Lacampagne; Yuxin Yin; Andrew R Marks
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-08       Impact factor: 11.205

Review 3.  Nanoparticles and direct immunosuppression.

Authors:  Terrika A Ngobili; Michael A Daniele
Journal:  Exp Biol Med (Maywood)       Date:  2016-05

4.  FOXP3 rs3761548 polymorphism is associated with tacrolimus-induced acute nephrotoxicity in renal transplant patients.

Authors:  Zhuo Wu; Qinxia Xu; Xiaoyan Qiu; Zheng Jiao; Ming Zhang; Mingkang Zhong
Journal:  Eur J Clin Pharmacol       Date:  2016-10-17       Impact factor: 2.953

Review 5.  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

6.  PO-322 exerts potent immunosuppressive effects in vitro and in vivo by selectively inhibiting SGK1 activity.

Authors:  Yi Lai; Xing-Yan Luo; Hui-Jie Guo; Si-Yu Wang; Jing Xiong; Shu-Xia Yang; Li-Mei Li; Qiang Zou; Chun-Fen Mo; Yan-Tang Wang; Yang Liu
Journal:  Br J Pharmacol       Date:  2020-02-11       Impact factor: 8.739

Review 7.  Genetics of acute rejection after kidney transplantation.

Authors:  Casey R Dorr; William S Oetting; Pamala A Jacobson; Ajay K Israni
Journal:  Transpl Int       Date:  2017-11-08       Impact factor: 3.782

Review 8.  Targeting mitochondria for cardiovascular disorders: therapeutic potential and obstacles.

Authors:  Massimo Bonora; Mariusz R Wieckowski; David A Sinclair; Guido Kroemer; Paolo Pinton; Lorenzo Galluzzi
Journal:  Nat Rev Cardiol       Date:  2019-01       Impact factor: 32.419

9.  Tacrolimus dose requirements in paediatric renal allograft recipients are characterized by a biphasic course determined by age and bone maturation.

Authors:  Noël Knops; Jean Herman; Maria van Dyck; Yasaman Ramazani; Edward Debbaut; Rita van Damme-Lombaerts; Elena Levtchenko; Lambertus P van den Heuvel; Steffen Fieuws; Dirk Kuypers
Journal:  Br J Clin Pharmacol       Date:  2016-12-13       Impact factor: 4.335

10.  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

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