Associations of IMPDH1 polymorphisms with pharmacodynamics of mycophenolic acid in renal transplant patients
10.16438/j.0513-4870.2018-0050
- VernacularTitle:IMPDH1基因多态性与肾移植患者麦考酚酸类药物药效学的相关性分析
- Author:
Shou-ning ZHOU
1
;
Li QIN
2
;
Si LIU
1
;
Long-shan LIU
3
;
Yi-shu ZHANG
1
;
Huan-xi ZHANG
3
;
Chang-xi WANG
3
;
Min HUANG
1
;
Jia-li LI
1
Author Information
1. Institute of Clinical Pharmacology, School of Pharmacy, Sun Yat-sen University, Guangzhou 510080, China
2. Department of Pharmacy, the Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
3. Organ Transplant Center, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
- Publication Type:ORIGINAL ARTICLES
- Keywords:
renal transplantation;
mycophenolic acid;
pharmacodynamics;
acute rejection;
infection;
pharmacogenomics
- From:
Acta Pharmaceutica Sinica
2018;53(5):765-770
- CountryChina
- Language:Chinese
-
Abstract:
The study was designed to investigate the effect of IMPDH1 gene polymorphism on the pharmacodynamics of mycophenolic acid in the renal transplant patients. 315 patients with renal transplantation were treated with triple immunotherapy (mycophenolic acid + tacrolimus + prednisone). The Agena MassARRAY assay was used to detect the IMPDH1 genotypes in patients above. The plasma drug concentration of mycophenolic acid (MPA) and its main metabolite mycophenolic acid glucuronide (MPAG) was detected by high performance liquid chromatography (HPLC). The correlation between IMPDH1 gene polymorphism (rs10954183, rs12536006, rs13242340, rs2278293, rs2288549) and rejection and postoperative infection in renal transplant recipients were analyzed by SPSS 21 software. The result showed that IMPDH1 rs2288549 GG is a risk factor for acute rejection after renal transplantation (P<0.05), and IMPDH1 rs2278293 CT is a risk factor for infection after renal transplantation (P<0.05). Above all, IMPDH1 rs2288549 is an important factor of acute rejection after renal transplantation, IMPDH1 rs2278293 is an important factor affecting the emergence of infection after renal transplantation. The SNPs may help to optimize clinical medication to reduce the incidence of adverse reaction.
