Literature DB >> 19761697

Up-regulation of CXC chemokine receptor 4 expression in chronic atrial fibrillation patients with mitral valve disease may be attenuated by renin-angiotensin system blockers.

X X Wang1, F R Zhang, J H Zhu, X D Xie, J Z Chen.   

Abstract

This study characterized CXC chemokine receptor 4 (CXCR4) expression in patients with mitral valve disease and chronic atrial fibrillation (AF). Forty-eight patients with chronic AF formed two groups based on whether they were treated with or without renin-angiotensin system (RAS) blockers (AF + RAS group; n = 25, or AF - RAS group; n = 23). The controls comprised 17 mitral valve disease patients with sinus rhythm (SR group). CXCR4 mRNA and protein levels in the left atria were significantly higher in the AF - RAS and AF + RAS groups than in the SR group. CXCR4 expression was significantly lower in the AF + RAS group than the AF - RAS group. More CD34(+) cells expressed CXCR4 in the AF - RAS and AF + RAS groups than in the SR group. Angiotensin II, collagen I and left atrial diameter significantly positively correlated with CXCR4 expression in the AF - RAS group. These results suggest that CXCR4 expression is up-regulated in chronic AF patients with mitral valve disease, is associated with atrial remodelling, and that these effects are attenuated by RAS blockers.

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Year:  2009        PMID: 19761697     DOI: 10.1177/147323000903700419

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


  7 in total

1.  CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification.

Authors:  Peng Liu; Hongke Sun; Xin Zhou; Qiaozhu Wang; Feng Gao; Yuping Fu; Tong Li; Yixin Wang; Yingqi Li; Boyuan Fan; Xiaoli Li; Tiannan Jiang; Xinghua Qin; Qiangsun Zheng
Journal:  Cell Death Dis       Date:  2021-08-27       Impact factor: 8.469

2.  Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis.

Authors:  Junguo Zhang; Xin Huang; Xiaojie Wang; Yanhui Gao; Li Liu; Ziyi Li; Xuejiao Chen; Jie Zeng; Zebing Ye; Guowei Li
Journal:  BMC Med Genomics       Date:  2020-07-18       Impact factor: 3.063

3.  Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis.

Authors:  Defeng Pan; Yufei Zhou; Shengjue Xiao; Yue Hu; Chunyan Huan; Qi Wu; Xiaotong Wang; Qinyuan Pan; Jie Liu; Hong Zhu
Journal:  Int J Gen Med       Date:  2022-01-05

4.  Identification and Validation of Autophagy-Related Genes as Potential Biomarkers and Therapeutic Targets in Atrial Fibrillation.

Authors:  Jiao Zhou; Yunlong Dong; Xiang Cai; Hongbo Yang; Tao Guo
Journal:  Int J Gen Med       Date:  2021-11-06

5.  The Construction and Comprehensive Analysis of a ceRNA Immunoregulatory Network and Tissue-Infiltrating Immune Cells in Atrial Fibrillation.

Authors:  Xing Liu; Guoqiang Zhong; Wenbin Li; Yiqian Zeng; Mingxing Wu
Journal:  Int J Gen Med       Date:  2021-11-30

6.  Bioinformatics Analysis of Competing Endogenous RNA Network and Immune Infiltration in Atrial Fibrillation.

Authors:  Xing Liu; Ke Peng; Guoqiang Zhong; Mingxing Wu; Lei Wang
Journal:  Genet Res (Camb)       Date:  2022-07-16       Impact factor: 1.375

7.  Bioinformatics analysis of the circRNA-miRNA-mRNA network for atrial fibrillation.

Authors:  Xing Liu; Yiqian Zeng; Zhao Liu; Wenbin Li; Lei Wang; Mingxing Wu
Journal:  Medicine (Baltimore)       Date:  2022-08-26       Impact factor: 1.817

  7 in total

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