Literature DB >> 18566561

The association between cytokine gene polymorphisms and kidney allograft survival.

Andrzej Pawlik1, Leszek Domanski, Jacek Rozanski, Bogusław Czerny, Zygmunt Juzyszyn, Grazyna Dutkiewicz, Marek Myslak, Maciej Hałasa, Marcin Słojewski, Ewa Dabrowska-Zamojcin.   

Abstract

BACKGROUND: Cytokines regulate cellular and humoral immune responses. One determinant of the variable cytokine production observed among individuals is genetic polymorphism in cytokine genes. These polymorphisms represent normal allelic variations in the cytokine genes; usually single base changes. Homozygous genotypes for high producer alleles are generally associated with high cytokine production, heterozygotes with intermediate production, and homozygotes for the low producer alleles with low cytokine production. Cytokines have been implicated in the regulation of acute and chronic rejection of allografts. The aim of the study was to evaluate the promoter polymorphism of TNF-alpha gene (-308 promoter polymorphism), IL-2 gene (-330 promoter polymorphism), IL-4 gene (-590 promoter polymorphism), and IL-6 gene (-174 promoter polymorphism) in renal transplant recipients with allograft duration under and over 10 years to establish whether aforementioned polymorphism are involved in kidney allograft survival. MATERIAL/
METHODS: The study included 197 renal transplant recipients with well-functioning grafts for 2 to 18 years. The patients were divided into two subgroups: recipients with allograft duration under 10 years and recipients with allograft duration over 10 years.
RESULTS: Among renal transplant recipients with allograft duration over 10 years we observed the prevalence of subjects with the T1T1 genotype of TNF alpha (low expression of TNF alpha) and GG of IL-6 (high expression of IL-6). There was no difference in relation to IL-2 and IL-4 promoter polymorphism.
CONCLUSIONS: The results of present study suggest that the TNF-alpha -308 and the IL-6 -174 promoter polymorphisms may be the genetic factors influencing the renal allograft survival.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18566561

Source DB:  PubMed          Journal:  Ann Transplant        ISSN: 1425-9524            Impact factor:   1.530


  3 in total

1.  Empirical null distribution based modeling of multi-class differential gene expression detection.

Authors:  Xiting Cao; Baolin Wu; Marshall I Hertz
Journal:  J Appl Stat       Date:  2012-11-21       Impact factor: 1.404

2.  Interleukin-8 and -10 gene polymorphisms in irritable bowel syndrome.

Authors:  Mirza Romero-Valdovinos; Areli Gudiño-Ramírez; Jesús Reyes-Gordillo; Williams Arony Martínez-Flores; María Elena Ramírez-Miranda; Pablo Maravilla; Angélica Olivo-Díaz
Journal:  Mol Biol Rep       Date:  2012-06-28       Impact factor: 2.316

3.  Genetic determinants of renal transplant outcome: where do we stand?

Authors:  Paul J Phelan; Peter J Conlon; Matthew A Sparks
Journal:  J Nephrol       Date:  2014-02-11       Impact factor: 3.902

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.