Literature DB >> 21861709

Associations of receptor for advanced glycation end products -374 T/A and Gly82 Ser and peroxisome proliferator-activated receptor gamma Pro12Ala polymorphisms in Turkish coronary artery disease patients.

Hülya Yilmaz Aydoğan1, Ozlem Küçükhüseyin, Atike Tekeli, Turgay Isbir.   

Abstract

AIM: The aim of the present study was to investigate the individual and combined effects of receptor for advanced glycation end products (RAGE) -374T/A, RAGE Gly82Ser, and peroxisome proliferator-activated receptor gamma (PPAR-γ) Pro12Ala polymorphisms on the development of coronary artery disease (CAD).
MATERIALS AND METHODS: This study was carried out in 87 patients with CAD and 52 CAD-free healthy controls. Polymerase chain reaction, restriction fragment length polymorphism, and agarose gel electrophoresis techniques were used to determine RAGE -374T/A, RAGE Gly82 Ser, and PPARPro12 Ala.
RESULTS: Individual allele and genotype frequencies of RAGE -374T/A, RAGE Gly82Ser, and PPARPro12Ala polymorphisms were not significantly different between study groups. However, compared with the control group, wild-type T allele frequency was found to be higher in patients with diabetes (p=0.009). To investigate the combined effects of RAGE and PPAR polymorphisms, haplotype analysis was elevated and there was no statistical difference between the haplotypes of RAGE Gly82Ser with RAGE-374T/A or PPAR Pro12Ala. However, the frequency of RAGE-374T/PPAR12Ala haplotype was found to be higher in both the patient group (p=0.024) and in patients without diabetes (p=0.037).
CONCLUSION: The results of the present study demonstrated that possessing the A allele of RAGE -374T/A polymorphism by diabetic CAD patients and possessing the-374T/Ala12 haplotype of RAGE -374T/A and PPARPro12 Ala polymorphisms by the patients group were the most important risk factors for CAD.

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Year:  2011        PMID: 21861709     DOI: 10.1089/gtmb.2011.0077

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  11 in total

1.  Receptor for advanced glycation end products gene polymorphisms in cardiac syndrome X.

Authors:  Burak Önal; Deniz Özen; Bülent Demir; Ahmet G Akkan; Sibel Özyazgan
Journal:  Biomed Rep       Date:  2019-07-22

2.  Association between the receptor for advanced glycation end products gene polymorphisms and coronary artery disease.

Authors:  Lan Liu; Xing-biao Qiu
Journal:  Mol Biol Rep       Date:  2013-11       Impact factor: 2.316

3.  The effect of hydroxy safflower yellow A on coronary heart disease through Bcl-2/Bax and PPAR-γ.

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4.  The effect of PPARG gene polymorphisms on the risk of coronary heart disease: a meta-analysis.

Authors:  Wenjun Xu; Jiahong Xu; Bing Sun; Haibin Chen; Yiping Wang; Feifei Huang; Peng Xi; Jinfa Jiang
Journal:  Mol Biol Rep       Date:  2012-10-14       Impact factor: 2.316

5.  Meta-analysis of RAGE gene polymorphism and coronary heart disease risk.

Authors:  Jun Wang; Lianjiang Zou; Zhigang Song; Xilong Lang; Shengdong Huang; Fanglin Lu; Lin Han; Zhiyun Xu
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6.  Association of four genetic polymorphisms of AGER and its circulating forms with coronary artery disease: a meta-analysis.

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Review 7.  Association between peroxisome proliferator-activated receptor-alpha, delta, and gamma polymorphisms and risk of coronary heart disease: A case-control study and meta-analysis.

Authors:  Yufeng Qian; Peiwei Li; Jinjie Zhang; Yu Shi; Kun Chen; Jun Yang; Yihua Wu; Xianhua Ye
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

8.  The Pro12Ala polymorphism in the peroxisome proliferator-activated receptor gamma-2 gene (PPARγ2) is associated with increased risk of coronary artery disease: a meta-analysis.

Authors:  Zhijun Wu; Yuqing Lou; Wei Jin; Yan Liu; Lin Lu; Guoping Lu
Journal:  PLoS One       Date:  2012-12-31       Impact factor: 3.240

Review 9.  Association of RAGE gene Gly82Ser polymorphism with coronary artery disease and ischemic stroke: A systematic review and meta-analysis.

Authors:  Wen-Qi Ma; Qing-Rong Qu; Yu Zhao; Nai-Feng Liu
Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.817

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Journal:  Sci Rep       Date:  2020-04-24       Impact factor: 4.379

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