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Search: (L773:0195 668X OR L773:1522 9645) srt2:(2015-2019)

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1.
  • Aavik, Einari, et al. (author)
  • Global DNA methylation analysis of human atherosclerotic plaques reveals extensive genomic hypomethylation and reactivation at imprinted locus 14q32 involving induction of a miRNA cluster
  • 2015
  • In: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 36:16, s. 993-U23
  • Journal article (peer-reviewed)abstract
    • Aims Genetics can explain just above 10% of the observed heritability in cardiovascular diseases. Epigenetics is about to provide some further explanations, but the information needed for that is in the accumulation phase. Genome-wide DNA methylation analysis has revealed thousands of genes, which are epigenetically differentially regulated in atherosclerotic plaques. Our results point to an additional level of complexity that needs to be integrated into the aetiology of atherogenesis.We conducted a genome-wide analysis to identify differentially methylated genes in atherosclerotic lesions. Methods DNA methylation at promoters, exons and introns was identified by massive parallel sequencing. Gene expression was analysed by microarrays, qPCR, immunohistochemistry and western blots. Results Globally, hypomethylation of chromosomal DNA predominates in atherosclerotic plaques and two-thirds of genes showing over 2.5-fold differential in DNA methylation are up-regulated in comparison to healthy mammary arteries. The imprinted chromatin locus 14q32 was identified for the first time as an extensively hypomethylated area in atherosclerosis with highly induced expression of miR127, -136, -410, -431, -432, -433 and capillary formation-associated gene RTL1. The top 100 list of hypomethylated promoters exhibited over 1000-fold enrichment for miRNAs, many of which mapped to locus 14q32. Unexpectedly, also gene body hypermethylation was found to correlate with stimulated mRNA expression. Conclusion Significant changes in genomic methylation were identified in atherosclerotic lesions. The most prominent gene cluster activated via hypomethylation was detected at imprinted chromosomal locus 14q32 with several clustered miRNAs that were up-regulated. These results suggest that epigenetic changes are involved in atherogenesis and may offer new potential therapeutic targets for vascular diseases.
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2.
  • Abdul-Rahim, A. H., et al. (author)
  • Risk of stroke in chronic heart failure patients with preserved ejection fraction, but without atrial fibrillation: analysis of the CHARM-Preserved and I-Preserve trials
  • 2017
  • In: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 38:10, s. 742-750
  • Journal article (peer-reviewed)abstract
    • Aims The incidence and predictors of stroke in patients with heart failure and preserved ejection fraction (HF-PEF), but without atrial fibrillation (AF), are unknown. We described the incidence of stroke in HF-PEF patients with and without AF and predictors of stroke in those without AF. Methods and results We pooled data from the CHARM-Preserved and I-Preserve trials. Using Cox regression, we derived a model for stroke in patients without AF in this cohort and compared its performance with a published model in heart failure patients with reduced ejection fraction (HF-REF)-predictive variables: age, body mass index, New York Heart Association class, history of stroke, and insulin-treated diabetes. The two stroke models were compared and Kaplan-Meier curves for stroke estimated. The risk model was validated in a third HF-PEF trial. Of the 6701 patients, 4676 did not have AF. Stroke occurred in 124 (6.1%) with AF and in 171 (3.7%) without AF (rates 1.80 and 1.00 per 100 patient-years, respectively). There was no difference in performance of the stroke model derived in the HF-PEF cohort and the published HF-REF model (c-index 0.71, 95% confidence interval 0.57-0.84 vs. 0.73, 0.59-0.85, respectively) as the predictive variables overlapped. The model performed well in the validation cohort (0.86, 0.62-0.99). The rate of stroke in patients in the upper third of risk approximated to that in patients with AF (1.60 and 1.80 per 100 patient-years, respectively). Conclusions A small number of clinical variables identify a subset of patients with HF-PEF, but without AF, at elevated risk of stroke.
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