Literature DB >> 20970628

Influence of pharmacogenetic polymorphisms in routine immunosuppression therapy after renal transplantation.

M J Herrero1, J Sánchez-Plumed, M Galiana, S Bea, M R Marqués, S F Aliño.   

Abstract

Pharmacogenetics is the study of the cause of various individual responses to the same pharmacologic therapy. Genetic alterations in a single nucleotide in the genes responsible for transport and metabolism of an immunosuppression drug may modify patient response. Although pharmacogenetics is of interest, its clinical relevance remains to be demonstrated. The objective of the present study was to evaluate the effect of single-nucleotide polymorphisms (SNPs) in renal transplant recipients and their donors relative to blood concentrations of tacrolimus in the first 2 weeks posttransplantation. Seventy-one blood samples each from renal transplant recipients and their donors were analyzed using a genetic analysis system (MassARRAY; Sequenom, Inc, San Diego, California) in an attempt to characterize the more relevant SNPs of the ABCB1 and CYP3A5 genes for correlation with recipient trough concentrations of drug. Two-way analysis of variance and Bonferroni post hoc tests were used. In agreement with theoretical predictions, the wild-type genotype in ABCB1 SNPs (CC) tended to stabilize drug concentrations within the therapeutic range, whereas the T variant induced a mean increase in blood concentrations of more than 60%. These findings are in agreement with statistical tests that compared mean concentrations in various recipient-donor populations and found significant differences between them (P<.001) in CC vs TT, and P<.01 in CT vs TT). Donor genotype did not seem to be relevant. However, further studies are required to achieve more robust conclusions.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20970628     DOI: 10.1016/j.transproceed.2010.05.122

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  7 in total

Review 1.  Pharmacogenetic considerations for optimizing tacrolimus dosing in liver and kidney transplant patients.

Authors:  Alessio Provenzani; Andrew Santeusanio; Erin Mathis; Monica Notarbartolo; Manuela Labbozzetta; Paola Poma; Ambra Provenzani; Carlo Polidori; Giovanni Vizzini; Piera Polidori; Natale D'Alessandro
Journal:  World J Gastroenterol       Date:  2013-12-28       Impact factor: 5.742

Review 2.  Pharmacogenomics and personalized medicine: a review focused on their application in the Chinese population.

Authors:  Wen-ying Shu; Jia-li Li; Xue-ding Wang; Min Huang
Journal:  Acta Pharmacol Sin       Date:  2015-04-20       Impact factor: 6.150

3.  Effect of CYP3A5 genotype on hospitalization cost for kidney transplantation.

Authors:  Suda Vannaprasaht; Chulaporn Limwattananon; Sirirat Anutrakulchai; Chitranon Chan-On
Journal:  Int J Clin Pharm       Date:  2018-11-16

Review 4.  Pharmacogenetics and drug-induced nephrotoxicity in renal transplant recipients.

Authors:  Sepideh Zununi Vahed; Mohammadreza Ardalan; Nasser Samadi; Yadollah Omidi
Journal:  Bioimpacts       Date:  2015-02-21

5.  Melding Pharmacogenomic Effect of MDR1 and CYP3A5 Gene Polymorphism on Tacrolimus Dosing in Renal Transplant Recipients in Northern India.

Authors:  Narayan Prasad; Akhilesh Jaiswal; Manas Ranjan Behera; Vikas Agarwal; Ravi Kushwaha; Dharmendra Bhadauria; Anupama Kaul; Amit Gupta
Journal:  Kidney Int Rep       Date:  2019-09-27

6.  Top Three Pharmacogenomics and Personalized Medicine Applications at the Nexus of Renal Pathophysiology and Cardiovascular Medicine.

Authors:  Murielle Bochud; Michel Burnier; Idris Guessous
Journal:  Curr Pharmacogenomics Person Med       Date:  2011-12

7.  Impact of Single Nucleotide Polymorphisms (SNPs) on Immunosuppressive Therapy in Lung Transplantation.

Authors:  Jesus Ruiz; María José Herrero; Virginia Bosó; Juan Eduardo Megías; David Hervás; Jose Luis Poveda; Juan Escrivá; Amparo Pastor; Amparo Solé; Salvador Francisco Aliño
Journal:  Int J Mol Sci       Date:  2015-08-25       Impact factor: 5.923

  7 in total

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