Literature DB >> 25588704

Kidney transplant recipients carrying the CYP3A4*22 allelic variant have reduced tacrolimus clearance and often reach supratherapeutic tacrolimus concentrations.

N Pallet1, A-S Jannot, M El Bahri, I Etienne, M Buchler, B H de Ligny, G Choukroun, C Colosio, A Thierry, C Vigneau, B Moulin, Y Le Meur, A-E Heng, J-F Subra, C Legendre, P Beaune, C Alberti, M A Loriot, E Thervet.   

Abstract

CYP3A4*22 is an allelic variant of the cytochrome P450 3A4 associated with a decreased activity. Carriers of this polymorphism may require reduced tacrolimus (Tac) doses to reach the target residual concentrations (Co). We tested this hypothesis in a population of kidney transplant recipients extracted from a multicenter, prospective and randomized study. Among the 186 kidney transplant recipients included, 9.3% (18 patients) were heterozygous for the CYP3A4*22 genotype and none were homozygous (allele frequency of 4.8%). Ten days after transplantation (3 days after starting treatment with Tac), 11% of the CYP3A4*22 carriers were within the target range of Tac Co (10-15 ng/mL), whereas among the CYP3A4*1/*1 carriers, 40% were within the target range (p = 0.02, OR = 0.19 [0.03; 0.69]). The mean Tac Co at day 10 in the CYP3A4*1/*22 group was 23.5 ng/mL (16.6-30.9) compared with 15.1 ng/mL (14-16.3) in the CYP3A4*1/*1 group, p < 0.001. The Tac Co/dose significantly depended on the CYP3A4 genotype during the follow-up (random effects model, p < 0.001) with the corresponding equivalent dose for patients heterozygous for CYP3A4*22 being 0.67 [0.54; 0.84] times the dose for CYP3A4*1/*1 carriers. In conclusion, the CYP3A4*22 allelic variant is associated with a significantly altered Tac metabolism and carriers of this polymorphism often reach supratherapeutic concentrations. © Copyright 2015 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  Clinical research; immune modulation; immunosuppressant, calcineurin inhibitor: tacrolimus, pharmacokinetics; nephrology, immunosuppression; pharmacodynamics, genetics; pharmacology, kidney transplantation; practice

Mesh:

Substances:

Year:  2015        PMID: 25588704     DOI: 10.1111/ajt.13059

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  28 in total

1.  The CYP3A biomarker 4β-hydroxycholesterol does not improve tacrolimus dose predictions early after kidney transplantation.

Authors:  Elisabet Størset; Kristine Hole; Karsten Midtvedt; Stein Bergan; Espen Molden; Anders Åsberg
Journal:  Br J Clin Pharmacol       Date:  2017-02-27       Impact factor: 4.335

Review 2.  Transplant genetics and genomics.

Authors:  Joshua Y C Yang; Minnie M Sarwal
Journal:  Nat Rev Genet       Date:  2017-03-13       Impact factor: 53.242

Review 3.  Biomarkers and Pharmacogenomics in Kidney Transplantation.

Authors:  L E Crowley; M Mekki; S Chand
Journal:  Mol Diagn Ther       Date:  2018-10       Impact factor: 4.074

4.  Genomewide Association Study of Tacrolimus Concentrations in African American Kidney Transplant Recipients Identifies Multiple CYP3A5 Alleles.

Authors:  W S Oetting; D P Schladt; W Guan; M B Miller; R P Remmel; C Dorr; K Sanghavi; R B Mannon; B Herrera; A J Matas; D R Salomon; P-Y Kwok; B J Keating; A K Israni; P A Jacobson
Journal:  Am J Transplant       Date:  2015-10-20       Impact factor: 8.086

5.  Impact of genetic and nongenetic factors on interindividual variability in 4β-hydroxycholesterol concentration.

Authors:  Kristine Hole; C Gjestad; K M Heitmann; T Haslemo; E Molden; S Bremer
Journal:  Eur J Clin Pharmacol       Date:  2016-12-14       Impact factor: 2.953

6.  Genome-wide association study identifies the common variants in CYP3A4 and CYP3A5 responsible for variation in tacrolimus trough concentration in Caucasian kidney transplant recipients.

Authors:  W S Oetting; B Wu; D P Schladt; W Guan; R P Remmel; R B Mannon; A J Matas; A K Israni; P A Jacobson
Journal:  Pharmacogenomics J       Date:  2017-11-21       Impact factor: 3.550

7.  Attempted validation of 44 reported SNPs associated with tacrolimus troughs in a cohort of kidney allograft recipients.

Authors:  William S Oetting; Baolin Wu; David P Schladt; Weihua Guan; Rory P Remmel; Casey Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Pharmacogenomics       Date:  2018-01-10       Impact factor: 2.533

8.  The association among cytochrome P450 3A, progesterone receptor polymorphisms, plasma 17-alpha hydroxyprogesterone caproate concentrations, and spontaneous preterm birth.

Authors:  Martha L Bustos; Steve N Caritis; Kathleen A Jablonski; Uma M Reddy; Yoram Sorokin; Tracy Manuck; Michael W Varner; Ronald J Wapner; Jay D Iams; Marshall W Carpenter; Alan M Peaceman; Brian M Mercer; Anthony Sciscione; Dwight J Rouse; Susan M Ramin
Journal:  Am J Obstet Gynecol       Date:  2017-05-15       Impact factor: 8.661

9.  Pretransplant 4β-hydroxycholesterol does not predict tacrolimus exposure or dose requirements during the first days after kidney transplantation.

Authors:  Thomas Vanhove; Mahmoud Hasan; Pieter Annaert; Stefan Oswald; Dirk R J Kuypers
Journal:  Br J Clin Pharmacol       Date:  2017-07-14       Impact factor: 4.335

10.  Effect of breviscapine on CYP3A metabolic activity in healthy volunteers.

Authors:  Xuan Zhou; Yang-Yang Gao; Jian-Yong Hu; Yu Dong; Hai-Zhu Zhang; Yong Lai
Journal:  Eur J Clin Pharmacol       Date:  2017-10-06       Impact factor: 2.953

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