Literature DB >> 25706326

Identification of microRNA-mRNA dysregulations in paroxysmal atrial fibrillation.

David Y Chiang1, Min Zhang2, Niels Voigt3, Katherina M Alsina4, Heinz Jakob5, James F Martin6, Dobromir Dobrev3, Xander H T Wehrens7, Na Li8.   

Abstract

BACKGROUND: The molecular mechanisms underlying the early development of atrial fibrillation (AF) remain poorly understood. Emerging evidence suggests that abnormal epigenetic modulation via microRNAs (miRNAs) might be involved in the pathogenesis of paroxysmal AF (pAF).
OBJECTIVE: To identify key molecular changes associated with pAF, we conducted state-of-the-art transcriptomic studies to identify the abnormal miRNA-mRNA interactions potentially driving AF development.
METHODS: High-quality total RNA including miRNA was isolated from atrial biopsies of age-matched and sex-matched pAF patients and control patients in sinus rhythm (SR; n=4 per group) and used for RNA-sequencing and miRNA microarray. Results were analyzed bioinformatically and validated using quantitative real-time (qRT)-PCR and 3'UTR luciferase reporter assays.
RESULTS: 113 genes and 49 miRNAs were differentially expressed (DE) in pAF versus SR patients. Gene ontology analysis revealed that most of the DE genes were involved in the "gonadotropin releasing hormone receptor pathway" and "p53 pathway". Of these DE genes, bioinformatic analyses identified 23 pairs of putative miRNA-mRNA interactions that were altered in pAF (involving 15 miRNAs and 17 mRNAs). Using qRT-PCR and 3'UTR luciferase reporter assays, the interaction between upregulation of miR-199a-5p and downregulation of FKBP5 was confirmed in samples from pAF patients.
CONCLUSION: Our combined transcriptomic analysis and miRNA microarray study of atrial samples from pAF patients revealed novel pathways and miRNA-mRNA regulations that may be relevant in the development of pAF. Future studies are required to investigate the potential involvement of the gonadotropin releasing hormone receptor and p53 pathways in AF pathogenesis.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Paroxysmal atrial fibrillation; RNA sequencing; Transcriptomic study; microRNA

Mesh:

Substances:

Year:  2015        PMID: 25706326      PMCID: PMC4417399          DOI: 10.1016/j.ijcard.2015.01.075

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


  25 in total

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Authors:  Xintong Zhao; Ronghua Li; Meng Qiao; Jianjun Yan; Qing Sun
Journal:  Inflammation       Date:  2018-03       Impact factor: 4.092

2.  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

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Journal:  Nat Rev Cardiol       Date:  2016-08-04       Impact factor: 32.419

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Authors:  Alexander T Mikhailov; Mario Torrado
Journal:  J Mol Med (Berl)       Date:  2018-05-12       Impact factor: 4.599

5.  MicroRNA expression signatures of atrial fibrillation: The critical systematic review and bioinformatics analysis.

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Journal:  Exp Biol Med (Maywood)       Date:  2019-11-25

Review 6.  Calcium Signaling and Cardiac Arrhythmias.

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Review 8.  SPEG: a key regulator of cardiac calcium homeostasis.

Authors:  Hannah Campbell; Yuriana Aguilar-Sanchez; Ann P Quick; Dobromir Dobrev; Xander H T Wehrens
Journal:  Cardiovasc Res       Date:  2021-08-29       Impact factor: 10.787

9.  Transcriptome signature of ventricular arrhythmia in dilated cardiomyopathy reveals increased fibrosis and activated TP53.

Authors:  Mary E Haywood; Andrea Cocciolo; Kadijah F Porter; Evgenia Dobrinskikh; Dobromir Slavov; Sharon L Graw; T Brett Reece; Amrut V Ambardekar; Michael R Bristow; Luisa Mestroni; Matthew R G Taylor
Journal:  J Mol Cell Cardiol       Date:  2020-01-18       Impact factor: 5.000

10.  Targeting pathological leak of ryanodine receptors: preclinical progress and the potential impact on treatments for cardiac arrhythmias and heart failure.

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Journal:  Expert Opin Ther Targets       Date:  2020-01-03       Impact factor: 6.902

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