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Cell Rep ; 18(1): 82-92, 2017 01 03.
Article in English | MEDLINE | ID: mdl-28052262

ABSTRACT

Myocardial infarction (MI) triggers a reparative response involving fibroblast proliferation and differentiation driving extracellular matrix modulation necessary to form a stabilizing scar. Recently, it was shown that a genetic variant of the base excision repair enzyme NEIL3 was associated with increased risk of MI in humans. Here, we report elevated myocardial NEIL3 expression in heart failure patients and marked myocardial upregulation of Neil3 after MI in mice, especially in a fibroblast-enriched cell fraction. Neil3-/- mice show increased mortality after MI caused by myocardial rupture. Genome-wide analysis of 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) reveals changes in the cardiac epigenome, including in genes related to the post-MI transcriptional response. Differentially methylated genes are enriched in pathways related to proliferation and myofibroblast differentiation. Accordingly, Neil3-/- ruptured hearts show increased proliferation of fibroblasts and myofibroblasts. We propose that NEIL3-dependent modulation of DNA methylation regulates cardiac fibroblast proliferation and thereby affects extracellular matrix modulation after MI.


Subject(s)
Endodeoxyribonucleases/metabolism , Fibroblasts/metabolism , Fibroblasts/pathology , Myocardium/metabolism , Myocardium/pathology , N-Glycosyl Hydrolases/metabolism , 5-Methylcytosine/analogs & derivatives , 5-Methylcytosine/metabolism , Cell Proliferation , Collagen/metabolism , Connective Tissue Diseases/genetics , Connective Tissue Diseases/pathology , DNA Damage , DNA Methylation/genetics , Endodeoxyribonucleases/deficiency , Gene Expression Profiling , Gene Expression Regulation , Heart Failure/genetics , Heart Failure/pathology , Heart-Assist Devices , Humans , Leukocytes/pathology , Matrix Metalloproteinase 2/metabolism , Myocardial Infarction/pathology , Myofibroblasts/metabolism , Myofibroblasts/pathology , Oxidation-Reduction , Phenotype , Sequence Analysis, RNA , Survival Analysis , Time Factors
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