Literature DB >> 15817885

Reprogramming of the human atrial transcriptome in permanent atrial fibrillation: expression of a ventricular-like genomic signature.

Andreas S Barth1, Sylvia Merk, Elisabeth Arnoldi, Ludwig Zwermann, Patrick Kloos, Mathias Gebauer, Klaus Steinmeyer, Markus Bleich, Stefan Kääb, Martin Hinterseer, Heike Kartmann, Eckart Kreuzer, Martin Dugas, Gerhard Steinbeck, Michael Nabauer.   

Abstract

Atrial fibrillation is associated with increased expression of ventricular myosin isoforms in atrial myocardium, regarded as part of a dedifferentiation process. Whether reexpression of ventricular isoforms in atrial fibrillation is restricted to transcripts encoding for contractile proteins is unknown. Therefore, this study compares atrial mRNA expression in patients with permanent atrial fibrillation to atrial mRNA expression in patients with sinus rhythm and to ventricular gene expression using Affymetrix U133 arrays. In atrial myocardium, we identified 1434 genes deregulated in atrial fibrillation, the majority of which, including key elements of calcium-dependent signaling pathways, displayed downregulation. Functional classification based on Gene Ontology provided the specific gene sets of the interdependent processes of structural, contractile, and electrophysiological remodeling. In addition, we demonstrate for the first time a prominent upregulation of transcripts involved in metabolic activities, suggesting an adaptive response to increased metabolic demand in fibrillating atrial myocardium. Ventricular-predominant genes were 5 times more likely to be upregulated in atrial fibrillation (174 genes upregulated, 35 genes downregulated), whereas atrial-specific transcripts were predominantly downregulated (56 genes upregulated, 564 genes downregulated). Overall, in fibrillating atrial myocardium, functional classes of genes characteristic of ventricular myocardium were found to be upregulated (eg, metabolic processes), whereas functional classes predominantly expressed in atrial myocardium were downregulated (eg, signal transduction and cell communication). Therefore, dedifferentiation with adoption of a ventricular-like signature is a general feature of the fibrillating atrium.

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Year:  2005        PMID: 15817885     DOI: 10.1161/01.RES.0000165480.82737.33

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  75 in total

1.  Weighted gene coexpression network analysis of human left atrial tissue identifies gene modules associated with atrial fibrillation.

Authors:  Nicholas Tan; Mina K Chung; Jonathan D Smith; Jeffrey Hsu; David Serre; David W Newton; Laurie Castel; Edward Soltesz; Gosta Pettersson; A Marc Gillinov; David R Van Wagoner; John Barnard
Journal:  Circ Cardiovasc Genet       Date:  2013-07-17

2.  Decoding the complex genetic causes of heart diseases using systems biology.

Authors:  Djordje Djordjevic; Vinita Deshpande; Tomasz Szczesnik; Andrian Yang; David T Humphreys; Eleni Giannoulatou; Joshua W K Ho
Journal:  Biophys Rev       Date:  2014-12-10

3.  Plasma microRNAs are associated with atrial fibrillation and change after catheter ablation (the miRhythm study).

Authors:  David D McManus; Kahraman Tanriverdi; Honghuang Lin; Nada Esa; Menhel Kinno; Divakar Mandapati; Stanley Tam; Okike N Okike; Patrick T Ellinor; John F Keaney; J Kevin Donahue; Emelia J Benjamin; Jane E Freedman
Journal:  Heart Rhythm       Date:  2014-10-09       Impact factor: 6.343

Review 4.  Insight into atrial fibrillation through analysis of the coding transcriptome in humans.

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

Review 5.  The role of acid-sensitive two-pore domain potassium channels in cardiac electrophysiology: focus on arrhythmias.

Authors:  Niels Decher; Aytug K Kiper; Caroline Rolfes; Eric Schulze-Bahr; Susanne Rinné
Journal:  Pflugers Arch       Date:  2014-11-19       Impact factor: 3.657

6.  Atrial fibrillation induces myocardial fibrosis through angiotensin II type 1 receptor-specific Arkadia-mediated downregulation of Smad7.

Authors:  Xuyu He; Xiuren Gao; Longyun Peng; Shenming Wang; Yingying Zhu; Hong Ma; Jun Lin; Dayue Darrel Duan
Journal:  Circ Res       Date:  2010-12-02       Impact factor: 17.367

Review 7.  Translating metabolomics to cardiovascular biomarkers.

Authors:  Todd Senn; Stanley L Hazen; W H Wilson Tang
Journal:  Prog Cardiovasc Dis       Date:  2012 Jul-Aug       Impact factor: 8.194

8.  A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation.

Authors:  Federica Censi; Giovanni Calcagnini; Pietro Bartolini; Alessandro Giuliani
Journal:  PLoS One       Date:  2010-10-29       Impact factor: 3.240

9.  Transcriptional remodeling of rapidly stimulated HL-1 atrial myocytes exhibits concordance with human atrial fibrillation.

Authors:  Lisa C Mace; Liudmila V Yermalitskaya; Yajun Yi; Zhenjiang Yang; Ashley M Morgan; Katherine T Murray
Journal:  J Mol Cell Cardiol       Date:  2009-07-15       Impact factor: 5.000

10.  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

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