Integration of epigenetic regulatory mechanisms in heart failure.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_ED14D37E5124
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Integration of epigenetic regulatory mechanisms in heart failure.
Journal
Basic research in cardiology
Author(s)
Sopic M., Robinson E.L., Emanueli C., Srivastava P., Angione C., Gaetano C., Condorelli G., Martelli F., Pedrazzini T., Devaux Y.
Working group(s)
EU-CardioRNA COST Action CA17129 and EU-AtheroNET COST Action CA21153
ISSN
1435-1803 (Electronic)
ISSN-L
0300-8428
Publication state
Published
Issued date
04/05/2023
Peer-reviewed
Oui
Volume
118
Number
1
Pages
16
Language
english
Notes
Publication types: Journal Article ; Review ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
The number of "omics" approaches is continuously growing. Among others, epigenetics has appeared as an attractive area of investigation by the cardiovascular research community, notably considering its association with disease development. Complex diseases such as cardiovascular diseases have to be tackled using methods integrating different omics levels, so called "multi-omics" approaches. These approaches combine and co-analyze different levels of disease regulation. In this review, we present and discuss the role of epigenetic mechanisms in regulating gene expression and provide an integrated view of how these mechanisms are interlinked and regulate the development of cardiac disease, with a particular attention to heart failure. We focus on DNA, histone, and RNA modifications, and discuss the current methods and tools used for data integration and analysis. Enhancing the knowledge of these regulatory mechanisms may lead to novel therapeutic approaches and biomarkers for precision healthcare and improved clinical outcomes.
Keywords
Humans, DNA Methylation, Epigenesis, Genetic, Heart Failure/genetics, Cardiovascular Diseases/genetics, Heart, Data integration, Epigenetics, Epitranscriptomics, Machine learning
Pubmed
Web of science
Open Access
Yes
Create date
08/05/2023 13:22
Last modification date
23/01/2024 8:36
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