Literature DB >> 15982490

Gene expression profiling of human atrial myocardium with atrial fibrillation by DNA microarray analysis.

Ruri Ohki1, Keiji Yamamoto, Shuichi Ueno, Hiroyuki Mano, Yoshio Misawa, Katsuo Fuse, Uichi Ikeda, Kazuyuki Shimada.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most frequently encountered arrhythmia in the clinical setting. However, a comprehensive investigation of the molecular mechanism of AF has not been performed. The aim of this study was to clarify transcriptional profiling of genes modulated in the atrium of AF patients using DNA microarray technology.
METHODS: We obtained 17 fresh cardiac specimens, right atrial appendages, isolated from 10 patients with normal sinus rhythm and seven chronic AF patients who underwent cardiac surgery. Affymetrix GeneChip (Human Genome U95A) investigating 12,000 human genes was used for each specimen. Quantitative analysis of selected genes was performed by the real-time PCR method.
RESULTS: The left atrial diameter in the AF group was greater than that in the sinus rhythm group. We could identify 33 AF-specific genes that were significantly activated (>1.5-fold), compared with the sinus rhythm group, including an ion channel, an antioxidant, an inflammation, three cell growth/cell cycle, three transcription such as nuclear factor-interleukin 6-beta, several cell signaling and several protein genes, and seven expressed sequence tags (ESTs). In contrast, we found 63 sinus rhythm-specific genes, including several cell signaling/communication such as sarcoplasmic reticulum Ca2+-ATPase 2, several cellular respiration and energy production and two antiproliferative or negative regulator of cell growth genes, and 22 ESTs.
CONCLUSIONS: The present study demonstrated that about one hundred genes were modulated in the atria of AF patients. These findings suggest that these genes may play critical roles in the initiation or perpetuation of AF and the pathophysiology of atrial remodeling.

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Year:  2005        PMID: 15982490     DOI: 10.1016/j.ijcard.2004.05.026

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


  16 in total

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Authors:  Marc Sühling; Carmen Wolke; Christian Scharf; Uwe Lendeckel
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2018-01-09

2.  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

3.  The distribution-based p-value for the outlier sum in differential gene expression analysis.

Authors:  Lin-An Chen; Dung-Tsa Chen; Wenyaw Chan
Journal:  Biometrika       Date:  2010-01-25       Impact factor: 2.445

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.  Gene signatures of postoperative atrial fibrillation in atrial tissue after coronary artery bypass grafting surgery in patients receiving β-blockers.

Authors:  Miklos D Kertai; Wenjing Qi; Yi-Ju Li; Frederick W Lombard; Yutao Liu; Michael P Smith; Mark Stafford-Smith; Mark F Newman; Carmelo A Milano; Joseph P Mathew; Mihai V Podgoreanu
Journal:  J Mol Cell Cardiol       Date:  2016-02-06       Impact factor: 5.000

6.  Heart rhythm genomic fabric in hypoxia.

Authors:  Dumitru A Iacobas; Sanda Iacobas; Gabriel G Haddad
Journal:  Biochem Biophys Res Commun       Date:  2009-12-31       Impact factor: 3.575

Review 7.  Redox regulation, NF-kappaB, and atrial fibrillation.

Authors:  Ge Gao; Samuel C Dudley
Journal:  Antioxid Redox Signal       Date:  2009-09       Impact factor: 8.401

8.  Reactive oxygen species-targeted therapeutic interventions for atrial fibrillation.

Authors:  Ali A Sovari; Samuel C Dudley
Journal:  Front Physiol       Date:  2012-08-06       Impact factor: 4.566

9.  Evaluation of CXCL9 and CXCL10 as circulating biomarkers of human cardiac allograft rejection.

Authors:  Kristjan Karason; Margareta Jernås; Daniel A Hägg; Per-Arne Svensson
Journal:  BMC Cardiovasc Disord       Date:  2006-06-19       Impact factor: 2.298

10.  Expression of angiogenesis-related genes in right atrial appendages from patients with advanced myocardial ischemia - preliminary results.

Authors:  Józefa Dąbek; Joanna Głogowska-Ligus; Andrzej Bochenek
Journal:  Arch Med Sci       Date:  2013-05-28       Impact factor: 3.318

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