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