TY - JOUR
T1 - Integration of epigenetic regulatory mechanisms in heart failure
AU - Sopic, Miron
AU - Robinson, Emma L.
AU - Emanueli, Costanza
AU - Srivastava, Prashant
AU - Angione, Claudio
AU - Gaetano, Carlo
AU - Condorelli, Gianluigi
AU - Martelli, Fabio
AU - Pedrazzini, Thierry
AU - Devaux, Yvan
AU - EU-CardioRNA COST Action CA17129 and EU-AtheroNET COST Action CA21153
N1 - Funding Information:
This article is based upon work from EU-CardioRNA COST Action CA17129 ( www.cardiorna.eu ) and EU-AtheroNET COST Action CA21153 ( https://www.cost.eu/actions/CA21153 ) funded by COST (European Cooperation in Science and Technology; www.cost.eu ).
Funding Information:
M.S. is funded the Ministry of Education, Science and Technological Development, Republic of Serbia through Grant Agreement with University of Belgrade-Faculty of Pharmacy No: 451–03-9/2021–14/200161, European Union (HORIZON-MSCA-2021-SE-01–01—MSCA Staff Exchanges 2021 CardioSCOPE 101086397, HORIZON-MSCA-2021-PF- MAACS 101064175). ELR is supported by an American Heart Association Postdoctoral fellowship (#829504) and a Colorado Clinical and Translational Sciences Institute (CCTSI) Pilot Grant award (#CO‐J‐22‐C.A. acknowledges a Network Development Award from The Alan Turing Institute, grant TNDC2-100022. CG is supported by Ricerca Corrente—Rete cardiologica IRCCS; Progetto di Rete Aging "Next Promising" Ricerca Corrente 2022; Regione Lombardia, "Progetto Immunhub". FM is supported by the Italian Ministry of Health (“Ricerca Corrente”, RF-2019–12368521, The Italian Cardiology Network IRCCS RCR-2022–23682288), by Telethon Foundation (#4462 GGP19035A), AFM-Telethon (# 23054), EU Horizon 2020 (COVIRNA, Grant #101016072) and cardioRNA COST action (CA17129). Y.D. is funded by the EU Horizon 2020 project COVIRNA (Grant # 101016072), the National Research Fund (grants # C14/BM/8225223, C17/BM/11613033, and COVID-19/2020–1/14719577/miRCOVID), CardioRNA COST action (CA17129), the Ministry of Higher Education and Research, and the Heart Foundation—Daniel Wagner of Luxembourg.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/5/4
Y1 - 2023/5/4
N2 - 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.
AB - 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.
KW - Data integration
KW - Epigenetics
KW - Epitranscriptomics
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85158882737&partnerID=8YFLogxK
UR - https://pubmed.ncbi.nlm.nih.gov/37140699
U2 - 10.1007/s00395-023-00986-3
DO - 10.1007/s00395-023-00986-3
M3 - Review article
C2 - 37140699
SN - 0300-8428
VL - 118
JO - Basic Research in Cardiology
JF - Basic Research in Cardiology
IS - 1
M1 - 16
ER -