Literature DB >> 27494721

Differential left-to-right atria gene expression ratio in human sinus rhythm and atrial fibrillation: Implications for arrhythmogenesis and thrombogenesis.

Feng-Chun Tsai1, Yen-Chen Lin2, Shang-Hung Chang2, Gwo-Jyh Chang3, Yu-Juei Hsu4, Yuan-Min Lin5, Yun-Shien Lee6, Chun-Li Wang2, Yung-Hsin Yeh7.   

Abstract

BACKGROUND: Atrial fibrillation (AF) causes atrial remodeling, and the left atrium (LA) is the favored substrate for maintaining AF. It remains unclear if AF remodels both atria differently and contributes to LA arrhythmogenesis and thrombogenesis. Therefore, we wished to characterize the transcript profiles in the LA and right atrium (RA) in sinus rhythm (SR) and AF respectively.
METHODS: Paired LA and RA appendages acquired from patients receiving cardiac surgery were used for ion-channel- and whole-exome-based transcriptome analysis. The ultrastructure was evaluated by immunohistochemistry.
RESULTS: Twenty-two and twenty ion-channels and transporters were differentially expressed between the LA and RA in AF and SR, respectively. Among these, 15 genes were differentially expressed in parallel between AF and SR. AF was associated with increased LA/RA expression ratio in 9 ion channel-related genes, including genes related to calcium handling. In microarray, AF was associated with a differential LA/RA gene expression ratio in 309 genes, and was involved in atherosclerosis-related signaling. AF was associated with the upregulation of thrombogenesis-related genes in the LA appendage, including P2Y12, CD 36 and ApoE. Immunohistochemistry showed higher expressions of collagen-1, oxidative stress and TGF-β1 in the RA compared to the LA.
CONCLUSIONS: AF was associated with differential LA-to-RA gene expression related to specific ion channels and pathways as well as upregulation of thrombogenesis-related genes in the LA appendage. Targeting the molecular mechanisms underlying the LA-to-RA difference and AF-related remodeling in the LA appendage may help provide new therapeutic options in treating AF and preventing thromboembolism in AF.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Atrium; Ion channel; Microarray

Mesh:

Substances:

Year:  2016        PMID: 27494721     DOI: 10.1016/j.ijcard.2016.07.103

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  21 in total

1.  Differentially expressed genes for atrial fibrillation identified by RNA sequencing from paired human left and right atrial appendages.

Authors:  Alison M Thomas; Claudia P Cabrera; Malcolm Finlay; Kulvinder Lall; Muriel Nobles; Richard J Schilling; Kristie Wood; Charles A Mein; Michael R Barnes; Patricia B Munroe; Andrew Tinker
Journal:  Physiol Genomics       Date:  2019-06-07       Impact factor: 3.107

Review 2.  Insight into atrial fibrillation through analysis of the coding transcriptome in humans.

Authors:  Marja Steenman
Journal:  Biophys Rev       Date:  2020-07-15

3.  Meta-analysis of Transcriptomic Data Reveals Pathophysiological Modules Involved with Atrial Fibrillation.

Authors:  Rodrigo Haas Bueno; Mariana Recamonde-Mendoza
Journal:  Mol Diagn Ther       Date:  2020-10-23       Impact factor: 4.074

4.  Epigenetic regulation of cardiac electrophysiology in atrial fibrillation: HDAC2 determines action potential duration and suppresses NRSF in cardiomyocytes.

Authors:  Patrick Lugenbiel; Katharina Govorov; Pascal Syren; Ann-Kathrin Rahm; Teresa Wieder; Maximilian Wunsch; Nadine Weiberg; Emili Manolova; Dominik Gramlich; Rasmus Rivinius; Daniel Finke; Lorenz H Lehmann; Patrick A Schweizer; Derk Frank; Fadwa A El Tahry; Claus Bruehl; Tanja Heimberger; Steffi Sandke; Tanja Weis; Patrick Most; Bastian Schmack; Arjang Ruhparwar; Matthias Karck; Norbert Frey; Hugo A Katus; Dierk Thomas
Journal:  Basic Res Cardiol       Date:  2021-02-25       Impact factor: 17.165

5.  Analysis of potential roles of combinatorial microRNA regulation in occurrence of valvular heart disease with atrial fibrillation based on computational evidences.

Authors:  Guangbin Wang; Nini Rao; Dingyun Liu; Hongxiu Jiang; Ke Liu; Feng Yang; Yangwei Chen; Keli Huang
Journal:  PLoS One       Date:  2019-09-03       Impact factor: 3.240

6.  Investigating gene-microRNA networks in atrial fibrillation patients with mitral valve regurgitation.

Authors:  Joana Larupa Santos; Ismael Rodríguez; Morten S Olesen; Bo Hjorth Bentzen; Nicole Schmitt
Journal:  PLoS One       Date:  2020-05-11       Impact factor: 3.240

7.  Regional Differences in mRNA and lncRNA Expression Profiles in Non-Failing Human Atria and Ventricles.

Authors:  Eric K Johnson; Scot J Matkovich; Jeanne M Nerbonne
Journal:  Sci Rep       Date:  2018-09-17       Impact factor: 4.379

8.  Weighted gene co‑expression network analysis to identify key modules and hub genes associated with atrial fibrillation.

Authors:  Wenyuan Li; Lijun Wang; Yue Wu; Zuyi Yuan; Juan Zhou
Journal:  Int J Mol Med       Date:  2019-12-03       Impact factor: 4.101

9.  Chamber-specific transcriptional responses in atrial fibrillation.

Authors:  Catherine E Lipovsky; Jesus Jimenez; Qiusha Guo; Gang Li; Tiankai Yin; Stephanie C Hicks; Somya Bhatnagar; Kentaro Takahashi; David M Zhang; Brittany D Brumback; Uri Goldsztejn; Rangarajan D Nadadur; Carlos Perez-Cervantez; Ivan P Moskowitz; Shaopeng Liu; Bo Zhang; Stacey L Rentschler
Journal:  JCI Insight       Date:  2020-09-17

10.  Comprehensive Analysis of Differential Immunocyte Infiltration and Potential ceRNA Networks Involved in the Development of Atrial Fibrillation.

Authors:  Jiafeng Wu; Huiming Deng; Qianghua Chen; Qiang Wu; Xiaolong Li; Siwei Jiang; Fengxin Wang; Fuyin Ye; Langhui Ou; Hong Gao
Journal:  Biomed Res Int       Date:  2020-09-19       Impact factor: 3.411

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