4.5 Article

Influence of atrial fibrillation on microRNA expression profiles in left and right atria from patients with valvular heart disease

期刊

PHYSIOLOGICAL GENOMICS
卷 44, 期 3, 页码 211-219

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/physiolgenomics.00111.2011

关键词

mitral valve disease; atrial dilatation; noncoding RNA; coronary artery bypass grafting

资金

  1. Australian National Health and Medical Research Council (NHMRC) [526621, 526623]
  2. National Heart Foundation of Australia [NHF GMO8-3695]
  3. Victorian Government

向作者/读者索取更多资源

Cooley N, Cowley MJ, Lin RCY, Marasco S, Wong C, Kaye DM, Dart AM, Woodcock EA. Influence of atrial fibrillation on microRNA expression profiles in left and right atria from patients with valvular heart disease. Physiol Genomics 44: 211-219, 2012. First published December 6, 2011; doi:10.1152/physiolgenomics.00111.2011.-Chronic atrial fibrillation (AF) is a complication associated with the dilated atria of patients with valvular heart disease and contributes to worsened pathology. We examined microRNA (miRNA) expression profiles in right and left atrial appendage tissue from valvular heart disease (VHD) patients. Right atrial (RA) appendage from patients undergoing coronary artery bypass grafting and left atrial (LA) appendage from healthy hearts, not used for transplant, were used as controls. There was no detectable effect of chronic AF on miRNA expression in LA tissue, but miRNA expression in RA was strongly influenced by AF, with 47 miRNAs (15 higher, 32 lower) showing differential expression between the AF and control sinus rhythm groups. VHD induced different changes in miRNA expression in LA compared with RA. Fifty-three (12 higher, 41 lower) miRNAs were altered by VHD in LA, compared with 5 (4 higher, 1 lower) in RA tissue. miRNA profiles also differed between VHD-LA and VHD-RA (13 higher, 26 lower). We conclude that VHD and AF influence miRNA expression patterns in LA and RA, but these are affected differently by disease progression and by the development of AF. These findings provide new insights into the progression of VHD.

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