Literature DB >> 26882121

A pharmacogenomic study on the pharmacokinetics of tacrolimus in healthy subjects using the DMETTM Plus platform.

Y Choi1, F Jiang1, H An1,2, H J Park3, J H Choi3, H Lee1,4.   

Abstract

Genetic association studies on the pharmacokinetics of tacrolimus have reported conflicting results, except for the role of the CYP3A5*3 polymorphism. The objective of this study was to identify genetic variants affecting the pharmacokinetics of tacrolimus using the DMETTM Plus microarray in 42 healthy males. Aside from CYP3A5*3, the rs3814055 polymorphism in the NR1I2 gene was associated with the tacrolimus pharmacokinetics based on false discovery rate-corrected multiple tests and the least absolute shrinkage and selection operator analysis. The area under the concentration-time curve to the last quantifiable time point (AUClast) was 3.42 times greater in subjects with homozygous mutations in both genes (CYP3A5*3/*3 and NR1I2 T/T) than in wild-type subjects. The two variants explained the 54% variability in the tacrolimus AUClast. An in vitro luciferase reporter assay indicated that downregulation of PXR expression is the likely molecular mechanism responsible for the increased exposure to tacrolimus in subjects carrying the rs3814055 C>T variant.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26882121     DOI: 10.1038/tpj.2015.99

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  28 in total

Review 1.  Candidate-gene approaches for studying complex genetic traits: practical considerations.

Authors:  Holly K Tabor; Neil J Risch; Richard M Myers
Journal:  Nat Rev Genet       Date:  2002-05       Impact factor: 53.242

2.  Liquid chromatography-negative ion electrospray tandem mass spectrometry method for the quantification of tacrolimus in human plasma and its bioanalytical applications.

Authors:  N V S Ramakrishna; K N Vishwottam; S Puran; S Manoj; M Santosh; S Wishu; M Koteshwara; J Chidambara; B Gopinadh; B Sumatha
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2004-06-05       Impact factor: 3.205

Review 3.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

4.  Genome-wide association analysis by lasso penalized logistic regression.

Authors:  Tong Tong Wu; Yi Fang Chen; Trevor Hastie; Eric Sobel; Kenneth Lange
Journal:  Bioinformatics       Date:  2009-01-28       Impact factor: 6.937

Review 5.  An overview of recent developments in genomics and associated statistical methods.

Authors:  Peter J Bickel; James B Brown; Haiyan Huang; Qunhua Li
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-11-13       Impact factor: 4.226

6.  Effect of CYP3A5*3 polymorphism on pharmacokinetic drug interaction between tacrolimus and amlodipine.

Authors:  Xiao-cong Zuo; Ya-nan Zhou; Bi-kui Zhang; Guo-ping Yang; Ze-neng Cheng; Hong Yuan; Dong-sheng Ouyang; Shi-kun Liu; Jeffrey S Barrett; Pei-jiong Li; Zhi Liu; Hong-yi Tan; Ren Guo; Ling-yun Zhou; Yue-liang Xie; Zuo-jun Li; Jing Li; Chun-jiang Wang; Jiang-lin Wang
Journal:  Drug Metab Pharmacokinet       Date:  2013-02-26       Impact factor: 3.614

7.  Korean, Japanese, and Chinese populations featured similar genes encoding drug-metabolizing enzymes and transporters: a DMET Plus microarray assessment.

Authors:  SoJeong Yi; Hyungmi An; Howard Lee; Sangin Lee; Ichiro Ieiri; Youngjo Lee; Joo-Youn Cho; Takeshi Hirota; Masato Fukae; Kenji Yoshida; Shinichiro Nagatsuka; Miyuki Kimura; Shin Irie; Yuichi Sugiyama; Dong Wan Shin; Kyoung Soo Lim; Jae-Yong Chung; Kyung-Sang Yu; In-Jin Jang
Journal:  Pharmacogenet Genomics       Date:  2014-10       Impact factor: 2.089

8.  A role for the pregnane X receptor in flucloxacillin-induced liver injury.

Authors:  Elise Andrews; Martin Armstrong; Jonathan Tugwood; Dan Swan; Philip Glaves; Munir Pirmohamed; Guruprasad P Aithal; Matthew C Wright; Christopher P Day; Ann K Daly
Journal:  Hepatology       Date:  2010-05       Impact factor: 17.425

9.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP3A5 Genotype and Tacrolimus Dosing.

Authors:  K A Birdwell; B Decker; J M Barbarino; J F Peterson; C M Stein; W Sadee; D Wang; A A Vinks; Y He; J J Swen; J S Leeder; Rhn van Schaik; K E Thummel; T E Klein; K E Caudle; I A M MacPhee
Journal:  Clin Pharmacol Ther       Date:  2015-06-03       Impact factor: 6.875

Review 10.  The role of pharmacogenetics in the disposition of and response to tacrolimus in solid organ transplantation.

Authors:  Dennis A Hesselink; Rachida Bouamar; Laure Elens; Ron H N van Schaik; Teun van Gelder
Journal:  Clin Pharmacokinet       Date:  2014-02       Impact factor: 6.447

View more
  6 in total

Review 1.  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

2.  New tablet formulation of tacrolimus with smaller interindividual variability may become a better treatment option than the conventional capsule formulation in organ transplant patients.

Authors:  Yu Kyong Kim; Anhye Kim; Shin Jung Park; Howard Lee
Journal:  Drug Des Devel Ther       Date:  2017-09-28       Impact factor: 4.162

3.  Genetic Polymorphisms Contribute to the Individual Variations of Imatinib Mesylate Plasma Levels and Adverse Reactions in Chinese GIST Patients.

Authors:  Jing Liu; Zhiyu Chen; Hanmei Chen; Yingyong Hou; Weiqi Lu; Junyi He; Hanxing Tong; Yuhong Zhou; Weimin Cai
Journal:  Int J Mol Sci       Date:  2017-03-13       Impact factor: 5.923

4.  Investigation of the Impact of CYP3A5 Polymorphism on Drug-Drug Interaction between Tacrolimus and Schisantherin A/Schisandrin A Based on Physiologically-Based Pharmacokinetic Modeling.

Authors:  Qingfeng He; Fengjiao Bu; Hongyan Zhang; Qizhen Wang; Zhijia Tang; Jing Yuan; Hai-Shu Lin; Xiaoqiang Xiang
Journal:  Pharmaceuticals (Basel)       Date:  2021-02-27

5.  A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETTM Plus Platform.

Authors:  Jeong-An Gim; Yonghan Kwon; Hyun A Lee; Kyeong-Ryoon Lee; Soohyun Kim; Yoonjung Choi; Yu Kyong Kim; Howard Lee
Journal:  Int J Mol Sci       Date:  2020-04-04       Impact factor: 5.923

6.  Effectiveness of Maintenance Immunosuppression Therapies in a Matched-Pair Analysis Cohort of 16 Years of Renal Transplant in the Brazilian National Health System.

Authors:  Rosângela Maria Gomes; Wallace Breno Barbosa; Brian Godman; Juliana de Oliveira Costa; Nélio Gomes Ribeiro Junior; Charles Simão Filho; Mariângela Leal Cherchiglia; Francisco de Assis Acurcio; Augusto Afonso Guerra Júnior
Journal:  Int J Environ Res Public Health       Date:  2020-03-17       Impact factor: 3.390

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.