Literature DB >> 28112181

IL-3 and CTLA4 gene polymorphisms may influence the tacrolimus dose requirement in Chinese kidney transplant recipients.

Mou-Ze Liu1,2,3,4, Hai-Yan He5, Yue-Li Zhang1,2, Yong-Fang Hu6, Fa-Zhong He1,2, Jian-Quan Luo1,2, Zhi-Ying Luo1,2, Xiao-Ping Chen1,2, Zhao-Qian Liu1,2, Hong-Hao Zhou1,2, Ming-Jie Shao7, Ying-Zi Ming7, Hua-Wen Xin8, Wei Zhang1,2.   

Abstract

The highly variable pharmacokinetics and narrow therapeutic window of tacrolimus (TAC) has hampered its clinical use. Genetic polymorphisms may contribute to the variable response, but the evidence is not compelling, and the explanation is unclear. In this study we attempted to find previously unknown genetic factors that may influence the TAC dose requirements. The association of 105 pathway-related single nucleotide polymorphisms (SNPs) with TAC dose-adjusted concentrations (C0/D) was examined at 7, 30 and 90 d post-operation in 382 Chinese kidney transplant recipients. In CYP3A5 non-expressers, the patients carrying the IL-3 rs181781 AA genotype showed a significantly higher TAC logC0/D than those with the AG genotype at 30 and 90 d post-operation (AA vs AG, 2.21±0.06 vs 2.01±0.03, P=0.004; and 2.17±0.06 vs 2.03±0.03, P=0.033, respectively), and than those with the GG genotype at 30 d (AA vs GG, 2.21±0.06 vs 2.04±0.03, P =0.011). At 30 d, the TAC logC0/D in the grouped AG+GG genotypes of CTLA4 rs4553808 was significantly lower than that in the AA genotype (P =0.041) in CYP3A5 expressers, but it was higher (P=0.008) in the non-expressers. We further validated the influence of CYP3A5 rs776746, CYP3A4 rs2242480 and rs4646437 on the TAC C0/D; other candidate SNPs were not associated with the differences in TAC C0/D. In conclusion, genetic polymorphisms in the immune genes IL-3 rs181781 and CTLA4 rs4553808 may influence the TAC C0/D. They may, together with CYP3A5 rs776746, CYP3A4 rs2242480 and rs4646437, contribute to the variation in TAC dose requirements. When conducting individualized therapy with tacrolimus, these genetic factors should be taken into account.

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Year:  2017        PMID: 28112181      PMCID: PMC5342670          DOI: 10.1038/aps.2016.153

Source DB:  PubMed          Journal:  Acta Pharmacol Sin        ISSN: 1671-4083            Impact factor:   6.150


  42 in total

1.  Association of the CTLA4 promoter region (-1661G allele) with type 1 diabetes in the South Moroccan population.

Authors:  L Bouqbis; H Izaabel; O Akhayat; A Pérez-Lezaun; F Calafell; J Bertranpetit; D Comas
Journal:  Genes Immun       Date:  2003-03       Impact factor: 2.676

Review 2.  PharmGKB summary: cyclosporine and tacrolimus pathways.

Authors:  Julia M Barbarino; Christine E Staatz; Raman Venkataramanan; Teri E Klein; Russ B Altman
Journal:  Pharmacogenet Genomics       Date:  2013-10       Impact factor: 2.089

3.  Identification and characterization of a defective CYP3A4 genotype in a kidney transplant patient with severely diminished tacrolimus clearance.

Authors:  A N Werk; S Lefeldt; H Bruckmueller; G Hemmrich-Stanisak; A Franke; M Roos; C Küchle; D Steubl; C Schmaderer; J H Bräsen; U Heemann; I Cascorbi; L Renders
Journal:  Clin Pharmacol Ther       Date:  2013-10-14       Impact factor: 6.875

4.  Association of CTLA-4 gene polymorphism with end-stage renal disease and renal allograft outcome.

Authors:  Maneesh Kumar Misra; Rakesh Kapoor; Shashi Kant Pandey; Raj Kumar Sharma; Suraksha Agrawal
Journal:  J Interferon Cytokine Res       Date:  2013-12-07       Impact factor: 2.607

5.  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

6.  The influence of CTLA-4 single nucleotide polymorphisms on acute kidney allograft rejection in Turkish patients.

Authors:  Çağlar Ruhi; Nilgün Sallakçi; Olcay Yeğin; Gültekin Süleymanlar; F Fevzi Ersoy
Journal:  Clin Transplant       Date:  2015-06-15       Impact factor: 2.863

7.  Relationship of CYP3A5 genotype and ABCB1 diplotype to tacrolimus disposition in Brazilian kidney transplant patients.

Authors:  Diego Alberto C Cusinato; Riccardo Lacchini; Elen A Romao; Miguel Moysés-Neto; Eduardo B Coelho
Journal:  Br J Clin Pharmacol       Date:  2014-08       Impact factor: 4.335

8.  Association between interleukin-18 promoter variants and tacrolimus pharmacokinetics in Chinese renal transplant patients.

Authors:  Jiazhen Xing; Xiaoqing Zhang; Junwei Fan; Bin Shen; Tongyi Men; Jianning Wang
Journal:  Eur J Clin Pharmacol       Date:  2014-12-10       Impact factor: 2.953

9.  Effects of CYP3A4 and CYP3A5 polymorphisms on tacrolimus pharmacokinetics in Chinese adult renal transplant recipients: a population pharmacokinetic analysis.

Authors:  Xiao-cong Zuo; Chee M Ng; Jeffrey S Barrett; Ai-jing Luo; Bi-kui Zhang; Chen-hui Deng; Lan-yan Xi; Ke Cheng; Ying-zi Ming; Guo-ping Yang; Qi Pei; Li-jun Zhu; Hong Yuan; Hai-qiang Liao; Jun-jie Ding; Di Wu; Ya-nan Zhou; Ning-ning Jing; Zhi-jun Huang
Journal:  Pharmacogenet Genomics       Date:  2013-05       Impact factor: 2.089

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

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  10 in total

1.  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

2.  Population Pharmacokinetic Modelling for Nifedipine to Evaluate the Effect of Parathyroid Hormone on CYP3A in Patients with Chronic Kidney Disease.

Authors:  Chengxiao Fu; Qi Pei; Wu Liang; Bo Yang; Wei Li; Jun Liu; Hongyi Tan; Chengxian Guo; Hao Zhang; Guoping Yang
Journal:  Drug Des Devel Ther       Date:  2022-07-13       Impact factor: 4.319

3.  The impact of IL-10 and CYP3A5 gene polymorphisms on dose-adjusted trough blood tacrolimus concentrations in early post-renal transplant recipients.

Authors:  Zhaolin Chen; Xi Cheng; Liwen Zhang; Liqin Tang; Yan Fang; Hongxiao Chen; Lei Zhang; Aizong Shen
Journal:  Pharmacol Rep       Date:  2021-06-05       Impact factor: 3.024

4.  Whole exome sequencing for the identification of CYP3A7 variants associated with tacrolimus concentrations in kidney transplant patients.

Authors:  Minji Sohn; Myeong Gyu Kim; Nayoung Han; In-Wha Kim; Jungsoo Gim; Sang-Il Min; Eun Young Song; Yon Su Kim; Hun Soon Jung; Young Kee Shin; Jongwon Ha; Jung Mi Oh
Journal:  Sci Rep       Date:  2018-12-24       Impact factor: 4.379

5.  Single nucleotide polymorphisms associated with elevated alanine aminotransferase in patients receiving asunaprevir plus daclatasvir combination therapy for chronic hepatitis C.

Authors:  Keizo Kato; Noritomo Shimada; Masanori Atsukawa; Hiroshi Abe; Norio Itokawa; Yoshihiro Matsumoto; Rie Agata; Akihito Tsubota
Journal:  PLoS One       Date:  2019-07-10       Impact factor: 3.240

6.  Prediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach.

Authors:  Xiaolan Mo; Xiujuan Chen; Xianggui Wang; Xiaoli Zhong; Huiying Liang; Yuanyi Wei; Houliang Deng; Rong Hu; Tao Zhang; Yilu Chen; Xia Gao; Min Huang; Jiali Li
Journal:  Pharmgenomics Pers Med       Date:  2022-02-22

Review 7.  Pharmacokinetics, Pharmacodynamics and Pharmacogenetics of Tacrolimus in Kidney Transplantation.

Authors:  Meng Yu; Mouze Liu; Wei Zhang; Yingzi Ming
Journal:  Curr Drug Metab       Date:  2018       Impact factor: 3.731

8.  Effect of the Most Relevant CYP3A4 and CYP3A5 Polymorphisms on the Pharmacokinetic Parameters of 10 CYP3A Substrates.

Authors:  Miriam Saiz-Rodríguez; Susana Almenara; Marcos Navares-Gómez; Dolores Ochoa; Manuel Román; Pablo Zubiaur; Dora Koller; María Santos; Gina Mejía; Alberto M Borobia; Cristina Rodríguez-Antona; Francisco Abad-Santos
Journal:  Biomedicines       Date:  2020-04-22

9.  Characterization of CYP3A pharmacogenetic variation in American Indian and Alaska Native communities, targeting CYP3A4*1G allele function.

Authors:  Alison E Fohner; Rachel Dalton; Kasse Skagen; Konner Jackson; Katrina G Claw; Scarlett E Hopkins; Renee Robinson; Burhan A Khan; Bhagwat Prasad; Erin G Schuetz; Deborah A Nickerson; Timothy A Thornton; Denise A Dillard; Bert B Boyer; Kenneth E Thummel; Erica L Woodahl
Journal:  Clin Transl Sci       Date:  2021-01-27       Impact factor: 4.689

10.  An Integrated Clinical and Genetic Prediction Model for Tacrolimus Levels in Pediatric Solid Organ Transplant Recipients.

Authors:  Sandar Min; Tanya Papaz; A Nicole Lambert; Upton Allen; Patricia Birk; Tom Blydt-Hansen; Bethany J Foster; Hartmut Grasemann; Lorraine Hamiwka; Catherine Litalien; Vicky Ng; Noureddine Berka; Patricia Campbell; Claude Daniel; Chee Loong Saw; Kathryn Tinckam; Simon Urschel; Sara L Van Driest; Rulan Parekh; Seema Mital
Journal:  Transplantation       Date:  2022-03-01       Impact factor: 4.939

  10 in total

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