Literature DB >> 19667964

Pharmacogenetics of calcineurin inhibitors in renal transplantation.

Eliecer Coto1, Beatriz Tavira.   

Abstract

Cyclosporine A and tacrolimus (Tac) are inmunosuppresive drugs with a narrow therapeutic range. Underdosing is associated with organ rejection, whereas overdosing could result in toxicity. Therapeutic drug monitoring at different postdose times is necessary to maintain the blood concentrations within a target window. These calcineurin inhibitors are characterized by a broad interindividual pharmacokinetics variability, which makes the determination of the initial dose difficult. In a patient receiving a dose, the amount of the drug that is measured in the blood determines its bioavailability, which depends on the absorption, biotransformation, and elimination of the drug. These processes are primarily controlled by efflux pumps and enzymes of the cytochrome P (CYP) 450 family. DNA variants at the genes encoding these proteins contribute to the interindividual heterogeneity for calcineurin inhibitors metabolism. Cyclosporine A and Tac are metabolized by CYP3A4 and CYP3A5, and several single nucleotide polymorphisms in the two genes have been associated with differences in drug clearance. Carriers of the CYP3A5 wild-type allele have a higher CYP3A5 expression compared with individuals who are homozygous for a common DNA variant that affects gene splicing (CYP3A5*3). For renal transplant recipients receiving Tac, homozygotes for this nonexpression allele would exhibit significantly lower Tac clearance and may require a lower dose to remain within the blood target concentration compared with CYP3A5 expressors. To date, this CYP3A5 variant is the only reported genetic factor to predict the appropiate starting dosage of Tac, avoiding overdosing and improving the outcome of renal transplantation.

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Year:  2009        PMID: 19667964     DOI: 10.1097/TP.0b013e3181afe9e7

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  12 in total

Review 1.  The genetics of kidney transplantation.

Authors:  Nicolas Pallet; Eric Thervet
Journal:  Hum Genet       Date:  2011-09-16       Impact factor: 4.132

2.  Novel polymorphisms associated with tacrolimus trough concentrations: results from a multicenter kidney transplant consortium.

Authors:  Pamala A Jacobson; William S Oetting; Ann M Brearley; Robert Leduc; Weihau Guan; David Schladt; Arthur J Matas; Vishal Lamba; Bruce A Julian; Rosalyn B Mannon; Ajay Israni
Journal:  Transplantation       Date:  2011-02-15       Impact factor: 4.939

Review 3.  Systems biology approaches to adverse drug effects: the example of cardio-oncology.

Authors:  Sherry-Ann Brown; Nicole Sandhu; Joerg Herrmann
Journal:  Nat Rev Clin Oncol       Date:  2015-10-13       Impact factor: 66.675

4.  The interactions of age, sex, body mass index, genetics, and steroid weight-based doses on tacrolimus dosing requirement after adult kidney transplantation.

Authors:  P Stratta; M Quaglia; T Cena; R Antoniotti; R Fenoglio; A Menegotto; D Ferrante; A Genazzani; S Terrazzino; C Magnani
Journal:  Eur J Clin Pharmacol       Date:  2011-11-20       Impact factor: 2.953

Review 5.  Recent advances in biomarker discovery in solid organ transplant by proteomics.

Authors:  Tara K Sigdel; Minnie M Sarwal
Journal:  Expert Rev Proteomics       Date:  2011-12       Impact factor: 3.940

6.  Red cell exchange transfusion as a rescue therapy for tacrolimus toxicity in a paediatric renal transplant.

Authors:  Hugh McCarthy; Carol Inward; Steve Marriage; Peter Astley; E Jane Tizard
Journal:  Pediatr Nephrol       Date:  2011-09-07       Impact factor: 3.714

Review 7.  Profiling the proteome in renal transplantation.

Authors:  Tara K Sigdel; Sangho Lee; Minnie M Sarwal
Journal:  Proteomics Clin Appl       Date:  2011-04-26       Impact factor: 3.494

8.  Donor ABCB1 variant associates with increased risk for kidney allograft failure.

Authors:  Jason Moore; Amy Jayne McKnight; Bernd Döhler; Matthew J Simmonds; Aisling E Courtney; Oliver J Brand; David Briggs; Simon Ball; Paul Cockwell; Christopher C Patterson; Alexander P Maxwell; Stephen C L Gough; Gerhard Opelz; Richard Borrows
Journal:  J Am Soc Nephrol       Date:  2012-10-11       Impact factor: 10.121

9.  Excess fluid distribution affects tacrolimus absorption in peritoneal dialysis patients.

Authors:  Tadashi Sofue; Masashi Inui; Hideyasu Kiyomoto; Kumiko Moriwaki; Taiga Hara; Kazunori Yamaguchi; Noriyasu Fukuoka; Kazuko Banno; Akira Nishiyama; Yoshiyuki Kakehi; Masakazu Kohno
Journal:  Clin Exp Nephrol       Date:  2012-12-27       Impact factor: 2.801

10.  Patient-reported non-adherence and immunosuppressant trough levels are associated with rejection after renal transplantation.

Authors:  Jennifer Scheel; Sandra Reber; Lisa Stoessel; Elisabeth Waldmann; Sabine Jank; Kai-Uwe Eckardt; Franziska Grundmann; Frank Vitinius; Martina de Zwaan; Anna Bertram; Yesim Erim
Journal:  BMC Nephrol       Date:  2017-03-29       Impact factor: 2.388

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