Transcriptomics in Atherosclerosis: Deciphering Molecular Signatures and Advancing Therapeutic Strategies explores how transcriptomic research is transforming our understanding and management of atherosclerosis. Bridging molecular biology and clinical medicine, it delves into the dynamic regulation of gene expression, the role of non-coding RNAs, and emerging insights from epitranscriptomics.
The book emphasizes advanced technologies such as single-cell and spatial transcriptomics, while embracing systems-level integration with other omic layers. It highlights how these approaches can reveal disease mechanisms, refine risk stratification, and guide the development of RNA-based diagnostics and therapies.
Designed for researchers, clinicians, and translational scientists, this volume moves beyond generic overviews to present current methods, practical insights, and real-world challenges in the field. By doing so, it lays the groundwork for a new generation of precision strategies in cardiovascular care.
1. Section 1. Introduction - p. S1 2. Chapter 1. Introduction - p. 3 3. Chapter 2. Atherosclerotic CVD: epidemiology and current challenges in management - p. 7 4. Chapter 3. Atherosclerotic plaque phenotypes: Unraveling complexity and heterogeneity - p. 13 5. Section 2. The role of RNAs in atherosclerosis progression and development - p. S2 6. Chapter 4. Biogenesis and mechanisms of action of ncRNAs - p. 31 7. Chapter 5. Role of ncRNAs in plaque development, progression, and stability - p. 57 8. Chapter 6. Signaling pathways regulating gene expression in atherosclerosis - p. 85 9. Chapter 7. Epitranscriptomics and atherosclerosis - p. 113 10. Section 3. Transcriptomic profiling of atherosclerotic lesions - p. S3 11. Chapter 8. Essentials of transcriptomic methods: Navigating through RNA sequencing and beyond - p. 131 12. Chapter 9. Bridging the gap in transcriptomics: From animal to human studies in atherosclerosis - p. 173 13. Chapter 10. Translating transcriptomics into clinical practice: Utilizing gene expression patterns for advanced patient phenotyping and stratification in atherosclerosis - p. 187 14. Chapter 11. Unveiling sex-biased transcriptomic mechanisms in atherosclerosis - p. 207 15. Section 4. Integrating multi-omics approaches in atherosclerosis research - p. S4 16. Chapter 12. Integrating genomics, transcriptomics, proteomics, metabolomics, and other omics - p. 223 17. Chapter 13. Insights into gene regulatory networks in vascular pathology - p. 243 18. Chapter 14. Use of artificial intelligence and machine learning for multiomics - p. 263 19. Section 5. RNA-based theranostics: Revolutionizing treatment and diagnosis in atherosclerotic cardiovascular disease - p. S5 20. Chapter 15. RNA therapeutics in atherosclerosis - p. 293 21. Chapter 16. RNA therapeutic delivery systems—advances and challenges - p. 307 22. Chapter 17. Exploring circulating RNAs: Emerging biomarkers for atherosclerosis detection and monitoring - p. 337 23. Section 6. Conclusion - p. S6 24. Chapter 18. Future directions and emerging technologies in transcriptomic research and atherosclerosis - p. 365 25. Index - p. 369
Transcriptomics in Atherosclerosis: Deciphering Molecular Signatures and Advancing Therapeutic Strategies explores how transcriptomic research is transforming our understanding and management of atherosclerosis. Bridging molecular biology and clinical medicine, it delves into the dynamic regulation of gene expression, the role of non-coding RNAs, and emerging insights from epitranscriptomics.
The book emphasizes advanced technologies such as single-cell and spatial transcriptomics, while embracing systems-level integration with other omic layers. It highlights how these approaches can reveal disease mechanisms, refine risk stratification, and guide the development of RNA-based diagnostics and therapies.
Designed for researchers, clinicians, and translational scientists, this volume moves beyond generic overviews to present current methods, practical insights, and real-world challenges in the field. By doing so, it lays the groundwork for a new generation of precision strategies in cardiovascular care.
1. Section 1. Introduction - p. S1 2. Chapter 1. Introduction - p. 3 3. Chapter 2. Atherosclerotic CVD: epidemiology and current challenges in management - p. 7 4. Chapter 3. Atherosclerotic plaque phenotypes: Unraveling complexity and heterogeneity - p. 13 5. Section 2. The role of RNAs in atherosclerosis progression and development - p. S2 6. Chapter 4. Biogenesis and mechanisms of action of ncRNAs - p. 31 7. Chapter 5. Role of ncRNAs in plaque development, progression, and stability - p. 57 8. Chapter 6. Signaling pathways regulating gene expression in atherosclerosis - p. 85 9. Chapter 7. Epitranscriptomics and atherosclerosis - p. 113 10. Section 3. Transcriptomic profiling of atherosclerotic lesions - p. S3 11. Chapter 8. Essentials of transcriptomic methods: Navigating through RNA sequencing and beyond - p. 131 12. Chapter 9. Bridging the gap in transcriptomics: From animal to human studies in atherosclerosis - p. 173 13. Chapter 10. Translating transcriptomics into clinical practice: Utilizing gene expression patterns for advanced patient phenotyping and stratification in atherosclerosis - p. 187 14. Chapter 11. Unveiling sex-biased transcriptomic mechanisms in atherosclerosis - p. 207 15. Section 4. Integrating multi-omics approaches in atherosclerosis research - p. S4 16. Chapter 12. Integrating genomics, transcriptomics, proteomics, metabolomics, and other omics - p. 223 17. Chapter 13. Insights into gene regulatory networks in vascular pathology - p. 243 18. Chapter 14. Use of artificial intelligence and machine learning for multiomics - p. 263 19. Section 5. RNA-based theranostics: Revolutionizing treatment and diagnosis in atherosclerotic cardiovascular disease - p. S5 20. Chapter 15. RNA therapeutics in atherosclerosis - p. 293 21. Chapter 16. RNA therapeutic delivery systems—advances and challenges - p. 307 22. Chapter 17. Exploring circulating RNAs: Emerging biomarkers for atherosclerosis detection and monitoring - p. 337 23. Section 6. Conclusion - p. S6 24. Chapter 18. Future directions and emerging technologies in transcriptomic research and atherosclerosis - p. 365 25. Index - p. 369
