Epigenetics in Cardiovascular Disease

Dr Devaux is Chairing the EU-CardioRNA COST Action, an international network of 30 European countries focusing on Transcriptomics in Cardiovascular Disease. Dr Robinson is leading a Working Group on Dissemination activities in the Action. The network, with 100+ individual experts in the field of Epigenetics in cardiovascular disease, constitutes an invaluable reservoir of co-authors for the Volume.

SECTION I INTRODUCTORY INFORMATION
1. The ever-growing burden of cardiovascular disease
2. Epigenetics concepts: An overview
3. From classical signaling pathways to the nucleus

SECTION II EPIGENETICS MECHANISMS IN CARDIOVASCULAR DISEASE
4. DNA methylation in heart failure
5. Histone modifications in cardiovascular disease initiation and progression
6. RNA modifications in cardiovascular disease—An experimental and computational perspective
7. Regulatory RNAs in cardiovascular disease
8. Regulation of splicing in cardiovascular disease
9. Cardiac transcriptomic remodeling in metabolic syndrome
10. Sex differences in epigenetics mechanisms of cardiovascular disease
11. Epigenetics in cardiac development and human induced pluripotent stem cells

SECTION III BIOMARKER VALUE
12. Peripheral blood DNA and RNA biomarkers of cardiovascular disease in clinical practice
13. Epigenetics and physical exercise
14. Long noncoding RNAs and circular RNAs as heart failure biomarkers
15. Artificial intelligence in clinical decision-making for diagnosis of cardiovascular disease using epigenetics mechanisms

SECTION IV THERAPEUTIC POTENTIAL
16. Therapeutic strategies for modulating epigenetic mechanisms in cardiovascular disease

SECTION V METHODOLOGICAL ISSUES
17. Single-cell RNA sequencing in cardiovascular science
18. Good laboratory and experimental practices for microRNA analysis in cardiovascular research
19. Analytical challenges in microRNA biomarker development: Best practices for analyzing microRNAs in cell-free biofluids
20. Concept of biological reference materials for RNA analysis in cardiovascular disease
21. Unbiased bioinformatics analysis of microRNA transcriptomics datasets and network theoretic target prediction