Literature DB >> 28073131

Evaluation of Glutathione Peroxidase and KCNJ11 Gene Polymorphisms in Patients with New Onset Diabetes Mellitus After Renal Transplantation.

Gulsah Y Yalin1, Sebahat Akgul2, Seher Tanrikulu1, Sevim Purisa3, Nurdan Gul1, Ayse K Uzum1, Fatma O Sarvan2, Mehmet S Sever4, Ilhan Satman1.   

Abstract

Introduction Genetic mutations such as C599T polymorphism in glutathione peroxidase [GPX1] gene and polymorphisms in potassium channel (KCNJ11) genes have recently been proposed in the etiopathogenesis of new onset diabetes mellitus after renal transplantation (NODAT). We aimed to examine the association of GPX1 and KCNJ11 polymorphisms in NODAT. Materials and Methods This is a monocenter case-control study with a total of 118 renal transplant recipients who were divided into 2 groups; NODAT and normal glucose tolerance. Relation of GPX1 and KCNJ11 polymorphisms were investigated between these groups. PCR-RFLP method was used for genotyping of polymorphisms in the GPX1 (rs1050450) and KCNJ11 (rs1805127) genes. Two alleles were visualized for each gene (C/T for GPX1 and A/G for KCNJ11). Results NODAT was correlated with age at transplantation (p<0.001, r=0.380), post-transplant systolic blood pressure (BP) (p=0.02, r=0.211), post-transplant non-HDL cholesterol levels (p=0.01, r=0.803), degree of weight change at the end of the first year (p=0.01, r=0.471), presence of pre-transplant hypertension (HT) (p=0.02, r=0.201), family history of diabetes (p=0.01, r=0.29) and dyslipidemia (p=0.012, r=0.362). GPX1 polymorphism of TT (mutant) allele was significantly more frequent in patients with NODAT (p<0.001, r=0.396) independent from other diabetogenic risk factors. KCNJ11 polymorphisms were similar in both groups and did not show any significant association with NODAT (p=0.10). Conclusions In addition to several diabetogenic risk factors, C599T polymorphisms in GPX1 gene might also contribute to the development of NODAT. Further studies on larger patient series are necessary in order to reach definitive suggestions. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2017        PMID: 28073131     DOI: 10.1055/s-0042-123040

Source DB:  PubMed          Journal:  Exp Clin Endocrinol Diabetes        ISSN: 0947-7349            Impact factor:   2.949


  3 in total

1.  Genetic Variants Associated With Immunosuppressant Pharmacokinetics and Adverse Effects in the DeKAF Genomics Genome-wide Association Studies.

Authors:  William S Oetting; Baolin Wu; David P Schladt; Weihua Guan; Jessica van Setten; Brendan J Keating; David Iklé; Rory P Remmel; Casey R Dorr; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Transplantation       Date:  2019-06       Impact factor: 4.939

Review 2.  Association between Genetic Polymorphisms and Risk of Kidney Posttransplant Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Authors:  Shan Xu; Zhenwei Jiang; Nan Hu
Journal:  Int J Clin Pract       Date:  2022-03-08       Impact factor: 3.149

Review 3.  Post-transplant diabetes mellitus in patients with solid organ transplants.

Authors:  Trond Jenssen; Anders Hartmann
Journal:  Nat Rev Endocrinol       Date:  2019-03       Impact factor: 43.330

  3 in total

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