Literature DB >> 31902946

Kidney podocyte-associated gene polymorphisms affect tacrolimus concentration in pediatric patients with refractory nephrotic syndrome.

Xiaolan Mo1,2, Jiali Li1, Yunfeng Liu3, Xin Liao4, Mei Tan4, Yilu Chen2, Fan He2, Yanling He5, Yingjie Li6, Min Huang7.   

Abstract

Few studies have investigated the correlation between pharmacogenomics and tacrolimus pharmacokinetics in patients with nephrotic syndrome (NS). This study evaluated the influences of genetic polymorphisms of metabolic enzymes, transporters, and podocyte-associated proteins on tacrolimus concentration in Chinese pediatric patients with refractory NS. A total of 167 pediatric patients with refractory NS were included from July 2013 to December 2017. Age of onset was restricted to <14 years of age. Dose-adjusted tacrolimus trough concentration (C0/D) on the third month was calculated, and 20 single-nucleotide polymorphisms in sixteen genes were genotyped. Age was correlated with tacrolimus C0/D (p = 0.006, r = 0.213). Tacrolimus C0/D was higher in CYP3A5 nonexpressers than in CYP3A5 expressers (p = 0.003). ACTN4 rs62121818, MYH9 rs2239781, CYP3A5*3, and age explained 20.5% interindividual variability of tacrolimus concentration in the total cohort. In CYP3A5 nonexpressers, ACTN4 rs62121818 and MYH9 rs2239781 together explained 14.6% variation of tacrolimus C0/D. MYH9 rs2239781, LAMB2 rs62119873 and age together explained 22.3% variability of tacrolimus level in CYP3A5 expressers. CYP3A5*3 was still an important factor affecting tacrolimus concentration in patients with NS. Podocyte-associated gene polymorphisms, especially ACTN4 rs62121818 and MYH9 rs2239781, were the other most important biomarkers for tacrolimus whole blood levels. Genotyping of CYP3A5, ACTN4, and MYH9 polymorphisms may be helpful for better guiding tacrolimus dosing in pediatric patients with refractory NS.

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Year:  2020        PMID: 31902946     DOI: 10.1038/s41397-019-0141-x

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


  37 in total

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Authors:  William E Evans; Howard L McLeod
Journal:  N Engl J Med       Date:  2003-02-06       Impact factor: 91.245

Review 2.  Actin up: regulation of podocyte structure and function by components of the actin cytoskeleton.

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Journal:  Trends Cell Biol       Date:  2007-09-04       Impact factor: 20.808

3.  The Potential of Pharmacogenomics to Advance Kidney Disease Treatment.

Authors:  Kelly A Birdwell; Cecilia P Chung
Journal:  Clin J Am Soc Nephrol       Date:  2017-06-19       Impact factor: 8.237

Review 4.  Comparative clinical pharmacokinetics of tacrolimus in paediatric and adult patients.

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Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

5.  Influence of Absorption, Distribution, Metabolism, and Excretion Genomic Variants on Tacrolimus/Sirolimus Blood Levels and Graft-versus-Host Disease after Allogeneic Hematopoietic Cell Transplantation.

Authors:  Samer K Khaled; Joycelynne M Palmer; Josef Herzog; Tracey Stiller; Ni-Chun Tsai; David Senitzer; Xueli Liu; Sandra H Thomas; Sepideh Shayani; Jeffrey Weitzel; Stephen J Forman; Ryotaro Nakamura
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6.  Interactive effects of CYP3A4, CYP3A5, MDR1 and NR1I2 polymorphisms on tracrolimus trough concentrations in early postrenal transplant recipients.

Authors:  Jia-li Li; Shu Liu; Qian Fu; Yu Zhang; Xue-ding Wang; Xiao-man Liu; Long-shan Liu; Chang-xi Wang; Min Huang
Journal:  Pharmacogenomics       Date:  2015-07-31       Impact factor: 2.533

Review 7.  KDOQI US commentary on the 2012 KDIGO clinical practice guideline for glomerulonephritis.

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Journal:  Am J Kidney Dis       Date:  2013-07-18       Impact factor: 8.860

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Review 9.  Effect of CYP3A5*3 on kidney transplant recipients treated with tacrolimus: a systematic review and meta-analysis of observational studies.

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Journal:  Pharmacogenomics J       Date:  2014-09-09       Impact factor: 3.550

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Authors:  Shinichi Nishi; Yoshifumi Ubara; Yasunori Utsunomiya; Koichi Okada; Yoko Obata; Hiroyasu Kai; Hideyasu Kiyomoto; Shin Goto; Tsuneo Konta; Yoshie Sasatomi; Yoshinobu Sato; Tomoya Nishino; Kazuhiko Tsuruya; Kengo Furuichi; Junichi Hoshino; Yasuhiro Watanabe; Kenjiro Kimura; Seiichi Matsuo
Journal:  Clin Exp Nephrol       Date:  2016-06       Impact factor: 2.801

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  2 in total

1.  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

2.  Effect of donor non-muscle myosin heavy chain (MYH9) gene polymorphisms on clinically relevant kidney allograft dysfunction.

Authors:  Joanna Pazik; Monika Oldak; Dominika Oziębło; Dominika Dęborska Materkowska; Anna Sadowska; Jacek Malejczyk; Magdalena Durlik
Journal:  BMC Nephrol       Date:  2020-09-01       Impact factor: 2.388

  2 in total

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