Literature DB >> 18502461

Influence of CYP3A5, ABCB1 and NR1I2 polymorphisms on prednisolone pharmacokinetics in renal transplant recipients.

Masatomo Miura1, Shigeru Satoh, Kazuyuki Inoue, Hideaki Kagaya, Mitsuru Saito, Takamitsu Inoue, Tomonori Habuchi, Toshio Suzuki.   

Abstract

The objective of this study was to evaluate whether genetic polymorphisms of CYP3A5 (A6986G, CYP3A5*3), ABCB1 (C1236T, G2677T/A, C3435T) and NR1I2 (A7635G) significantly impact the pharmacokinetics of prednisolone in renal transplant recipients. Ninety-five recipients were given repeated doses of triple therapy immunosuppression consisting of prednisolone, tacrolimus and mycophenolate mofetil. Twenty-eight days after renal transplantation, plasma prednisolone concentrations were measured by high-performance liquid chromatography. Comparisons of the CYP3A5 and ABCB1 genotypes revealed no significant differences in the prednisolone pharmacokinetics. The mean prednisolone C(max) for recipients (n=14) having both the ABCB1 3435CC genotype and the CYP3A5*3/*3 genotype was significantly higher than those (n=11) having both ABCB1 3435TT and CYP3A5*3/*3 genotypes (180ng/mL versus 129ng/mL, P=0.0392). The plasma concentrations of prednisolone in recipients having both ABCB1 3435CC and CYP3A5*3/*3 genotypes tended to be higher than those having both ABCB1 3435TT and CYP3A5*3/*3 genotypes. The mean AUC(0-24) and C(max) values for prednisolone in recipients having the NR1I2 7635G allele (AG: n=45, GG: n=32) were significantly lower than in patients having the 7635AA allele (n=18) (7635GG versus 7635AA, P=0.0308 for AUC(0-24), P=0.0382 for C(max) of prednisolone). In conclusion, NR1I2 (A7635G) rather than CYP3A5 or ABCB1 allelic variants affected patient variability of plasma prednisolone concentration. Recipients carrying the NR1I2 7635G allele seemed to possess higher metabolic activity for prednisolone in the intestine, greatly reducing its maximal plasma concentration.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18502461     DOI: 10.1016/j.steroids.2008.04.002

Source DB:  PubMed          Journal:  Steroids        ISSN: 0039-128X            Impact factor:   2.668


  15 in total

1.  Pharmaceutical and genetic determinants for interindividual differences of tacrolimus bioavailability in renal transplant recipients.

Authors:  Takenori Niioka; Hideaki Kagaya; Masatomo Miura; Kazuyuki Numakura; Mitsuru Saito; Takamitsu Inoue; Tomonori Habuchi; Shigeru Satoh
Journal:  Eur J Clin Pharmacol       Date:  2013-06-04       Impact factor: 2.953

Review 2.  Molecular mechanism of glucocorticoid resistance in inflammatory bowel disease.

Authors:  Sara De Iudicibus; Raffaella Franca; Stefano Martelossi; Alessandro Ventura; Giuliana Decorti
Journal:  World J Gastroenterol       Date:  2011-03-07       Impact factor: 5.742

3.  Genetic polymorphisms influence the steroid treatment of children with idiopathic nephrotic syndrome.

Authors:  Yee-Hsuan Chiou; Lin-Yu Wang; Tzu-Hui Wang; Shiao-ping Huang
Journal:  Pediatr Nephrol       Date:  2012-05-20       Impact factor: 3.714

4.  Effects of polymorphisms in NR1I2, CYP3A4, and ABC transporters on the steady-state plasma trough concentrations of bosutinib in Japanese patient with chronic myeloid leukemia.

Authors:  Maiko Abumiya; Akiko Mita; Saori Takahashi; Tomoko Yoshioka; Yoshihiro Kameoka; Naoto Takahashi; Masatomo Miura
Journal:  Med Oncol       Date:  2018-05-07       Impact factor: 3.064

Review 5.  Clinical pharmacokinetics and pharmacodynamics of prednisolone and prednisone in solid organ transplantation.

Authors:  Troels K Bergmann; Katherine A Barraclough; Katie J Lee; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2012-11       Impact factor: 6.447

6.  Tacrolimus population pharmacokinetic-pharmacogenetic analysis and Bayesian estimation in renal transplant recipients.

Authors:  Khaled Benkali; Aurelie Prémaud; Nicolas Picard; Jean-Philippe Rérolle; Olivier Toupance; Guillaume Hoizey; Alain Turcant; Florence Villemain; Yannick Le Meur; Pierre Marquet; Annick Rousseau
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

Review 7.  Pharmacogenomics: a new paradigm to personalize treatments in nephrology patients.

Authors:  G Zaza; S Granata; F Sallustio; G Grandaliano; F P Schena
Journal:  Clin Exp Immunol       Date:  2009-11-24       Impact factor: 4.330

8.  No impact of age on dose-adjusted pharmacokinetics of tacrolimus, mycophenolic acid and prednisolone 1 month after renal transplantation.

Authors:  Masatomo Miura; Shigeru Satoh; Hideaki Kagaya; Mitsuru Saito; Takamitsu Inoue; Norihiko Tsuchiya; Toshio Suzuki; Tomonori Habuchi
Journal:  Eur J Clin Pharmacol       Date:  2009-10       Impact factor: 2.953

9.  Associations of ABCB1, NFKB1, CYP3A, and NR1I2 polymorphisms with cyclosporine trough concentrations in Chinese renal transplant recipients.

Authors:  Yu Zhang; Jia-li Li; Qian Fu; Xue-ding Wang; Long-shan Liu; Chang-xi Wang; Wen Xie; Zhuo-jia Chen; Wen-ying Shu; Min Huang
Journal:  Acta Pharmacol Sin       Date:  2013-03-18       Impact factor: 6.150

10.  Equations to estimate prednisone dose using body weight.

Authors:  Francesco Emma; Giovanni Montini; Antonio Gargiulo
Journal:  Pediatr Nephrol       Date:  2018-10-27       Impact factor: 3.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.