Literature DB >> 16242148

Gene expression profile associated with chronic atrial fibrillation and underlying valvular heart disease in man.

Guillaume Lamirault1, Nathalie Gaborit, Nolwenn Le Meur, Catherine Chevalier, Gilles Lande, Sophie Demolombe, Denis Escande, Stanley Nattel, Jean J Léger, Marja Steenman.   

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in humans. The pathophysiology of AF involves electrical, structural and contractile remodeling, which is associated with changes in cardiac gene expression. Previous studies of gene-expression changes in clinical AF have mostly been limited to a small number of candidate genes and have not all been well controlled for underlying heart disease. The present study assessed AF-related gene-expression changes in valve-disease patients with microarrays representing the cardiac transcriptome. Right atrial appendages from 11 patients with chronic AF and underlying valvular heart disease (AF-VHD) and seven patients in sinus rhythm with VHD (SR-VHD) were individually compared to an age-matched sinus-rhythm control group (SR-CTRL, 11 patients) using cardiac-specific microarray analysis. One-class statistical analysis was used to identify genes differentially expressed between SR-VHD and SR-CTRL patients. Two-class statistical analysis was used to identify genes differentially expressed between AF-VHD and SR-VHD patients. Out of 3863 analyzed genes, 832 genes were differentially expressed between SR-VHD and SR-CTRL patients, and 169 genes were differentially expressed between AF-VHD and SR-VHD patients. Striking AF-related changes included altered expression of nine genes pointing towards the development of fibrosis (e.g. upregulation of transforming growth factor beta1), and changes in eight genes potentially related to an increased risk of thromboembolic events (e.g. upregulation of alpha2 macroglobulin). Microarray results were confirmed by quantitative PCR. Our results suggest that AF produces a characteristic profile of gene-expression changes that may be related to the pathophysiology of the arrhythmia.

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Year:  2005        PMID: 16242148     DOI: 10.1016/j.yjmcc.2005.09.004

Source DB:  PubMed          Journal:  J Mol Cell Cardiol        ISSN: 0022-2828            Impact factor:   5.000


  34 in total

Review 1.  Proteomics and transcriptomics in atrial fibrillation.

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Journal:  Herzschrittmacherther Elektrophysiol       Date:  2018-01-09

2.  The effect of physiological stretch and the valvular endothelium on mitral valve proteomes.

Authors:  Mir S Ali; Xinmei Wang; Carla Mr Lacerda
Journal:  Exp Biol Med (Maywood)       Date:  2019-02-05

3.  Neuroanatomical correlates of atrial fibrillation: a longitudinal MRI study.

Authors:  Adnan I Qureshi; Aveen Saed; Nudrat Tasneem; Malik M Adil
Journal:  J Vasc Interv Neurol       Date:  2014-12

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

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

5.  Molecular signature of mineralocorticoid receptor signaling in cardiomyocytes: from cultured cells to mouse heart.

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Journal:  Endocrinology       Date:  2010-06-30       Impact factor: 4.736

Review 6.  Recent advances in the molecular pathophysiology of atrial fibrillation.

Authors:  Reza Wakili; Niels Voigt; Stefan Kääb; Dobromir Dobrev; Stanley Nattel
Journal:  J Clin Invest       Date:  2011-08-01       Impact factor: 14.808

7.  No contribution of IP3-R(2) to disease phenotype in models of dilated cardiomyopathy or pressure overload hypertrophy.

Authors:  Nicola Cooley; Kunfu Ouyang; Julie R McMullen; Helen Kiriazis; Farah Sheikh; Wei Wu; Yongxin Mu; Xiao-Jun Du; Ju Chen; Elizabeth A Woodcock
Journal:  Circ Heart Fail       Date:  2012-12-20       Impact factor: 8.790

8.  Gene expression profiling in sinonasal adenocarcinoma.

Authors:  Dominique Tripodi; Sylvia Quéméner; Karine Renaudin; Christophe Ferron; Olivier Malard; Isabelle Guisle-Marsollier; Véronique Sébille-Rivain; Christian Verger; Christian Géraut; Catherine Gratas-Rabbia-Ré
Journal:  BMC Med Genomics       Date:  2009-11-10       Impact factor: 3.063

9.  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

10.  Bioinformatic primer for clinical and translational science.

Authors:  Randolph S Faustino; Anca Chiriac; Andre Terzic
Journal:  Clin Transl Sci       Date:  2008-09       Impact factor: 4.689

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