Literature DB >> 32666467

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

Marja Steenman1.   

Abstract

Atrial fibrillation is the most common sustained cardiac arrhythmia in humans, and its prevalence continues to increase because of the aging of the world population. Much still needs to be learned about the molecular pathways involved in the development and the persistence of the disease. Analysis of the transcriptome of cardiac tissue has provided valuable insight into diverse aspects of atrial remodeling, in particular concerning electrical remodeling-related to ion channels-and structural remodeling identified by dysregulation of processes linked to inflammation, fibrosis, oxidative stress, and thrombogenesis. The huge amount of data produced by these studies now represents a valuable source for the identification of novel potential therapeutic targets. In addition, the shift from cardiac tissue to peripheral blood as a substrate for transcriptome analysis revealed this strategy as a promising tool for improved diagnosis and therefore better patient care.

Entities:  

Keywords:  Atrial fibrillation; Electrical remodeling; Structural remodeling; Transcriptome analysis

Year:  2020        PMID: 32666467      PMCID: PMC7429641          DOI: 10.1007/s12551-020-00735-z

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  86 in total

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

2.  Ion channel remodeling is related to intraoperative atrial effective refractory periods in patients with paroxysmal and persistent atrial fibrillation.

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3.  Prevention of supraventricular arrhythmias after coronary artery bypass surgery. A meta-analysis of randomized control trials.

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Journal:  Circulation       Date:  1991-11       Impact factor: 29.690

Review 4.  Global epidemiology of atrial fibrillation.

Authors:  Faisal Rahman; Gene F Kwan; Emelia J Benjamin
Journal:  Nat Rev Cardiol       Date:  2014-08-12       Impact factor: 32.419

Review 5.  Atrial fibrillation pathophysiology: implications for management.

Authors:  Yu-ki Iwasaki; Kunihiro Nishida; Takeshi Kato; Stanley Nattel
Journal:  Circulation       Date:  2011-11-15       Impact factor: 29.690

Review 6.  Catheter ablation of atrial fibrillation: an update.

Authors:  Laurent M Haegeli; Hugh Calkins
Journal:  Eur Heart J       Date:  2014-07-22       Impact factor: 29.983

7.  An investigation of coronary heart disease in families. The Framingham offspring study.

Authors:  W B Kannel; M Feinleib; P M McNamara; R J Garrison; W P Castelli
Journal:  Am J Epidemiol       Date:  1979-09       Impact factor: 4.897

8.  Comparison of expression of connexin in right atrial myocardium in patients with chronic atrial fibrillation versus those in sinus rhythm.

Authors:  Tomoko Nao; Tomoko Ohkusa; Yuji Hisamatsu; Noriko Inoue; Tomo Matsumoto; Jutaro Yamada; Akihiko Shimizu; Yasuhiro Yoshiga; Toshihiko Yamagata; Shigeki Kobayashi; Masafumi Yano; Kimikazu Hamano; Masunori Matsuzaki
Journal:  Am J Cardiol       Date:  2003-03-15       Impact factor: 2.778

9.  Region-specific gene expression profiles in the left atria of patients with valvular atrial fibrillation.

Authors:  Yung-Hsin Yeh; Chi-Tai Kuo; Yun-Shien Lee; Yuan-Min Lin; Stanley Nattel; Feng-Chun Tsai; Wei-Jan Chen
Journal:  Heart Rhythm       Date:  2012-11-24       Impact factor: 6.343

10.  Proteomics Profiling and Risk of New-Onset Atrial Fibrillation: Framingham Heart Study.

Authors:  Darae Ko; Mark D Benson; Debby Ngo; Qiong Yang; Martin G Larson; Thomas J Wang; Ludovic Trinquart; David D McManus; Steven A Lubitz; Patrick T Ellinor; Ramachandran S Vasan; Robert E Gerszten; Emelia J Benjamin; Honghuang Lin
Journal:  J Am Heart Assoc       Date:  2019-03-19       Impact factor: 5.501

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  4 in total

1.  Integrated Analysis of circRNA-miRNA-mRNA-Mediated Network and Its Potential Function in Atrial Fibrillation.

Authors:  Feiyu Wei; Xi Zhang; Xiaohui Kuang; Xiaolong Gao; Jing Wang; Jie Fan
Journal:  Front Cardiovasc Med       Date:  2022-06-30

2.  Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease.

Authors:  Yaozhong Liu; Fan Bai; Zhenwei Tang; Na Liu; Qiming Liu
Journal:  BMC Cardiovasc Disord       Date:  2021-01-28       Impact factor: 2.298

Review 3.  Atrial Cardiomyopathy: Pathophysiology and Clinical Consequences.

Authors:  Andreas Goette; Uwe Lendeckel
Journal:  Cells       Date:  2021-09-30       Impact factor: 6.600

4.  Epicardial and endothelial cell activation concurs with extracellular matrix remodeling in atrial fibrillation.

Authors:  Nicoline W E van den Berg; Makiri Kawasaki; Benedetta Fabrizi; Fransisca A Nariswari; Arianne C Verduijn; Jolien Neefs; Robin Wesselink; Rushd F M Al-Shama; Allard C van der Wal; Onno J de Boer; Jan Aten; Antoine H G Driessen; Aldo Jongejan; Joris R de Groot
Journal:  Clin Transl Med       Date:  2021-11
  4 in total

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