Omics-based approaches have emerged as powerful tools in stroke research, revolutionizing our understanding of the underlying molecular mechanisms and potential therapeutic targets. These approaches encompass various disciplines such as genomics, transcriptomics, proteomics, metabolomics, radiomics, and epigenomics, enabling comprehensive analysis of biological and imaging markers and their interactions. Through genomics, researchers can identify genetic variants associated with stroke susceptibility, offering insights into individual risk factors and personalized medicine. Transcriptomics allows the investigation of gene expression patterns, highlighting key molecular pathways involved in stroke pathology and providing potential targets for intervention. Proteomics aids in the identification and quantification of proteins associated with stroke, aiding in the discovery of novel biomarkers and therapeutic targets. Metabolomics explores the metabolites involved in stroke pathophysiology, shedding light on metabolic alterations and potential therapeutic strategies. Radiomics involves the extraction and analysis of a multitude of quantitative features from medical imaging data, such as CT or MRI scans serving as potential imaging biomarkers, contributing to risk stratification and the identification of novel insights into stroke pathophysiology. Finally, epigenomics investigates modifications in gene expression without changing the DNA sequence, uncovering epigenetic mechanisms underlying stroke susceptibility and recovery. By integrating and analyzing data from these omics platforms, researchers can gain a comprehensive understanding of stroke pathogenesis, paving the way for the development of innovative diagnostic tools and effective therapeutic interventions.
Omics-based approaches in stroke research offer promising solutions to several long-standing challenges in the field. One of the primary problems is the complexity of stroke pathogenesis, involving multiple interconnected molecular pathways. Omics techniques can provide a holistic view of the molecular landscape, enabling the identification of key genetic variants, gene expression patterns, protein markers, and metabolic alterations associated with stroke. By integrating these omics data, researchers can unravel the intricate mechanisms underlying stroke development, progression, and recovery. Another challenge is the lack of reliable and specific biomarkers for stroke diagnosis and prognosis. Omics-based studies have led to the discovery of potential biomarkers that can aid in early detection, risk stratification, and monitoring of stroke patients. Additionally, the application of omics approaches in stroke research can help uncover novel therapeutic targets, facilitating the development of personalized treatment strategies and the repurposing of existing drugs for stroke management. Recent advances in technology, such as high-throughput sequencing, mass spectrometry, advanced neuroimaging, and bioinformatics, have greatly enhanced the capacity to generate and analyze large-scale omics data, enabling more comprehensive and accurate insights into stroke pathophysiology. Moreover, the integration of omics data with clinical and imaging data can provide a systems-level understanding of stroke, leading to more precise and effective interventions. Overall, by leveraging omics-based approaches, stroke research can address critical challenges, paving the way for improved diagnosis, treatment, and outcomes for stroke patients.
This research topic will focus on exploring the application of various omics disciplines, including genomics, transcriptomics, proteomics, metabolomics, radiomics, and epigenomics, in the study of stroke. The scope of this research topic encompasses a broad range of areas within stroke research where omics approaches can provide valuable insights. It includes investigating the molecular mechanisms underlying stroke pathogenesis, identifying genetic and epigenetic factors associated with stroke susceptibility, discovering biomarkers for stroke diagnosis, prognosis, and therapeutic response, exploring molecular pathways and networks involved in stroke development and recovery, and uncovering potential therapeutic targets for stroke management. Additionally, the scope may involve integrating multi-omics data to gain a comprehensive understanding of stroke at a systems level, as well as discussing recent advancements in omics technologies and methodologies that enhance our ability to study stroke. The research topic encourages interdisciplinary collaboration, translational applications, and the exploration of innovative approaches that leverage omics data to advance our knowledge of stroke and improve patient outcomes.
Some specific themes to be addressed within this research topic include: Genomics and stroke, transcriptomics and stroke, proteomics and stroke, metabolomics and stroke, radiomics and stroke, epigenomics and stroke, and integration of multi-omics data.
Types of manuscripts interested in: Original research, observational studies, systematic reviews and meta-analyses, and narrative reviews.
Omics-based approaches have emerged as powerful tools in stroke research, revolutionizing our understanding of the underlying molecular mechanisms and potential therapeutic targets. These approaches encompass various disciplines such as genomics, transcriptomics, proteomics, metabolomics, radiomics, and epigenomics, enabling comprehensive analysis of biological and imaging markers and their interactions. Through genomics, researchers can identify genetic variants associated with stroke susceptibility, offering insights into individual risk factors and personalized medicine. Transcriptomics allows the investigation of gene expression patterns, highlighting key molecular pathways involved in stroke pathology and providing potential targets for intervention. Proteomics aids in the identification and quantification of proteins associated with stroke, aiding in the discovery of novel biomarkers and therapeutic targets. Metabolomics explores the metabolites involved in stroke pathophysiology, shedding light on metabolic alterations and potential therapeutic strategies. Radiomics involves the extraction and analysis of a multitude of quantitative features from medical imaging data, such as CT or MRI scans serving as potential imaging biomarkers, contributing to risk stratification and the identification of novel insights into stroke pathophysiology. Finally, epigenomics investigates modifications in gene expression without changing the DNA sequence, uncovering epigenetic mechanisms underlying stroke susceptibility and recovery. By integrating and analyzing data from these omics platforms, researchers can gain a comprehensive understanding of stroke pathogenesis, paving the way for the development of innovative diagnostic tools and effective therapeutic interventions.
Omics-based approaches in stroke research offer promising solutions to several long-standing challenges in the field. One of the primary problems is the complexity of stroke pathogenesis, involving multiple interconnected molecular pathways. Omics techniques can provide a holistic view of the molecular landscape, enabling the identification of key genetic variants, gene expression patterns, protein markers, and metabolic alterations associated with stroke. By integrating these omics data, researchers can unravel the intricate mechanisms underlying stroke development, progression, and recovery. Another challenge is the lack of reliable and specific biomarkers for stroke diagnosis and prognosis. Omics-based studies have led to the discovery of potential biomarkers that can aid in early detection, risk stratification, and monitoring of stroke patients. Additionally, the application of omics approaches in stroke research can help uncover novel therapeutic targets, facilitating the development of personalized treatment strategies and the repurposing of existing drugs for stroke management. Recent advances in technology, such as high-throughput sequencing, mass spectrometry, advanced neuroimaging, and bioinformatics, have greatly enhanced the capacity to generate and analyze large-scale omics data, enabling more comprehensive and accurate insights into stroke pathophysiology. Moreover, the integration of omics data with clinical and imaging data can provide a systems-level understanding of stroke, leading to more precise and effective interventions. Overall, by leveraging omics-based approaches, stroke research can address critical challenges, paving the way for improved diagnosis, treatment, and outcomes for stroke patients.
This research topic will focus on exploring the application of various omics disciplines, including genomics, transcriptomics, proteomics, metabolomics, radiomics, and epigenomics, in the study of stroke. The scope of this research topic encompasses a broad range of areas within stroke research where omics approaches can provide valuable insights. It includes investigating the molecular mechanisms underlying stroke pathogenesis, identifying genetic and epigenetic factors associated with stroke susceptibility, discovering biomarkers for stroke diagnosis, prognosis, and therapeutic response, exploring molecular pathways and networks involved in stroke development and recovery, and uncovering potential therapeutic targets for stroke management. Additionally, the scope may involve integrating multi-omics data to gain a comprehensive understanding of stroke at a systems level, as well as discussing recent advancements in omics technologies and methodologies that enhance our ability to study stroke. The research topic encourages interdisciplinary collaboration, translational applications, and the exploration of innovative approaches that leverage omics data to advance our knowledge of stroke and improve patient outcomes.
Some specific themes to be addressed within this research topic include: Genomics and stroke, transcriptomics and stroke, proteomics and stroke, metabolomics and stroke, radiomics and stroke, epigenomics and stroke, and integration of multi-omics data.
Types of manuscripts interested in: Original research, observational studies, systematic reviews and meta-analyses, and narrative reviews.
