Literature DB >> 16570020

Impact of TGFbeta1 gene polymorphisms on acute and chronic rejection in pediatric heart transplant allografts.

Sylvie Di Filippo1, Adriana Zeevi, Kevin K McDade, Olivier Bastien, Steven A Webber.   

Abstract

BACKGROUND: The aim of this study was to assess the influence of IL-10 and TGFbeta1 gene polymorphisms on the development of acute rejection and coronary disease in pediatric heart transplant recipients.
METHODS: Patients were classified as either Rejectors or Nonrejectors. Coronary artery disease (CAD) was diagnosed by angiography or on macroscopic examination. Genotyping PCR-SSP were performed for IL-10 and TGFbeta1 (codon 10 and 25) in 111 patients. Thirty-nine were Rejectors and 31 developed CAD.
RESULTS: The proportion of IL-10 low-producers was higher in Rejectors than in Nonrejectors (respectively 46% versus 22%, P=0.009). IL-10 gene polymorphism was not associated with CAD. TGFbeta1-codon10-25 high-producers were 92.3% in Rejectors and 75% in Nonrejectors (P=0.026), 93.5% in patients with CAD and 76.2% in patients free from CAD (P=0.037). TGFbeta1-codon25 high-production separately analyzed correlated with CAD (31/31 high-producers in CAD=100% versus 69/80 in noCAD patients=86.2%, P=0.03). TGFbeta1-codon10 gene polymorphisms were not associated with CAD.
CONCLUSION: IL-10 low-producers have an increased risk of acute rejection. High-expressors of TGFbeta1-codon10-25 have an increased risk of acute rejection and CAD, while TGFbeta1-codon25 high-production is associated with coronary disease. Genetic polymorphism may reveal patients at high-risk in whom therapies and monitoring should be adjusted.

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Year:  2006        PMID: 16570020     DOI: 10.1097/01.tp.0000202725.55923.37

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  7 in total

1.  Pirfenidone inhibits T-cell activation, proliferation, cytokine and chemokine production, and host alloresponses.

Authors:  Gary A Visner; Fengzhi Liu; Peyman Bizargity; Hanzhong Liu; Kaifeng Liu; Jun Yang; Liqing Wang; Wayne W Hancock
Journal:  Transplantation       Date:  2009-08-15       Impact factor: 4.939

2.  Cytokine gene polymorphisms in acute cellular rejection following living donor liver transplantation: analysis of 155 donor-recipient pairs.

Authors:  Hideya Kamei; Satohiro Masuda; Taro Nakamura; Masatoshi Ishigami; Yasuhiro Fujimoto; Yasuhiro Ogura; Fumitaka Oike; Yasutsugu Takada; Nobuyuki Hamajima
Journal:  Hepatol Int       Date:  2013-07-31       Impact factor: 6.047

Review 3.  Effect of cytokine and pharmacogenomic genetic polymorphisms in transplantation.

Authors:  Diana M Girnita; Gilbert Burckart; Adriana Zeevi
Journal:  Curr Opin Immunol       Date:  2008-08-28       Impact factor: 7.486

4.  Meta-analysis of cytokine gene polymorphisms and outcome of heart transplantation.

Authors:  Sasitorn Yongcharoen; Sasivimol Rattanasiri; D Olga McDaniel; Mark McEvoy; Chukiat Viwatwongkaseam; Piangchan Rojanavipart; Ammarin Thakkinstian
Journal:  Biomed Res Int       Date:  2013-08-20       Impact factor: 3.411

5.  Non-HLA Genetic Factors and Their Influence on Heart Transplant Outcomes: A Systematic Review.

Authors:  Jessica van Setten; Evangeline G Warmerdam; Olivier Q Groot; Nicolaas de Jonge; Brendan Keating; Folkert W Asselbergs
Journal:  Transplant Direct       Date:  2019-01-21

6.  Contribution of the polymorphism rs1800469 of transforming growth factor β in the development of myocardial infarction: meta-analysis of 5460 cases and 8413 controls (MOOSE-compliant article).

Authors:  Ling Du; Tao Gong; Minghui Yao; Henghua Dai; Hong Gang Ren; Haitao Wang
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

Review 7.  Combined effects of TGFB1 +869 T/C and +915 G/C polymorphisms on acute rejection risk in solid organ transplant recipients: a systematic review and meta-analysis.

Authors:  Yu-Zheng Ge; Ran Wu; Tian-Ze Lu; Rui-Peng Jia; Ming-Hao Li; Xiao-Fei Gao; Xiao-Min Jiang; Xian-Bo Zhu; Liang-Peng Li; Si-Jia Tan; Qun Song; Wen-Cheng Li; Jia-Geng Zhu
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

  7 in total

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