Vascular dysfunction refers to the dysfunction of large arteries (due to arterial stiffness), microcirculation (microvascular dysfunction), and endothelium (endothelial dysfunction). Massive epidemiological studies have confirmed the role of vascular dysfunction in the pathogenesis of cardiovascular diseases, dementia, and diabetes. For example, both Aß and tau can trigger blood vessel abnormalities and blood-brain barrier (BBB) breakdown in vivo, serving as an early biomarker of dementia independent of Aß and tau. Thus, uncovering the underlying crosstalk between vascular dysfunction and related diseases has significantly advanced our understanding of the pathogenesis of all of these disorders. In addition, existing omics data resources (such as transcriptomics, proteomics, and metabolomics) together with the emerging of artificial intelligence (AI) technologies and network-based approaches, hold great promise for molecular biomarker identification, pathological mechanisms elucidation, and therapeutic discovery in various complex diseases due to vascular dysfunction.
This Research Topic aims to showcase the application of advanced data mining and network-driven technologies on drug discovery and mechanism elucidation, as well as molecular biomarker identification, against complex diseases due to vascular dysfunction. This research topic will focus on the trend and recent advances on utilizing interdisciplinary technologies to overcome the challenges and obstacles for disease pathobiology and therapeutic discovery in vascular dysfunction-related diseases.
• Artificial Intelligence and network pharmacology in drug discovery against vascular dysfunction-related diseases (such as vascular dementia)
• Uncovering the pathological mechanism of disease or exploring the molecular mechanism of drug candidates through integrating multimodal omics data.
• Identification of disease-related molecular biomarkers via data mining or network-driven approach.
• Multi-omics analysis of the crosstalk between the immune system and vascular system.
• Systems pharmacology for drug discovery (natural products or existing drugs) or elucidating underlying mechanisms against diseases due to vascular dysfunction.
• Application of real-world data in predicting disease/environmental risk factors, and efficacy evaluation of dietary intake or existing drugs for vascular dysfunction-related diseases.
• Developing interdisciplinary technologies, databases, or algorithms to speed up drug discovery and molecular biomarker identification by targeting vascular dysfunction.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Vascular dysfunction refers to the dysfunction of large arteries (due to arterial stiffness), microcirculation (microvascular dysfunction), and endothelium (endothelial dysfunction). Massive epidemiological studies have confirmed the role of vascular dysfunction in the pathogenesis of cardiovascular diseases, dementia, and diabetes. For example, both Aß and tau can trigger blood vessel abnormalities and blood-brain barrier (BBB) breakdown in vivo, serving as an early biomarker of dementia independent of Aß and tau. Thus, uncovering the underlying crosstalk between vascular dysfunction and related diseases has significantly advanced our understanding of the pathogenesis of all of these disorders. In addition, existing omics data resources (such as transcriptomics, proteomics, and metabolomics) together with the emerging of artificial intelligence (AI) technologies and network-based approaches, hold great promise for molecular biomarker identification, pathological mechanisms elucidation, and therapeutic discovery in various complex diseases due to vascular dysfunction.
This Research Topic aims to showcase the application of advanced data mining and network-driven technologies on drug discovery and mechanism elucidation, as well as molecular biomarker identification, against complex diseases due to vascular dysfunction. This research topic will focus on the trend and recent advances on utilizing interdisciplinary technologies to overcome the challenges and obstacles for disease pathobiology and therapeutic discovery in vascular dysfunction-related diseases.
• Artificial Intelligence and network pharmacology in drug discovery against vascular dysfunction-related diseases (such as vascular dementia)
• Uncovering the pathological mechanism of disease or exploring the molecular mechanism of drug candidates through integrating multimodal omics data.
• Identification of disease-related molecular biomarkers via data mining or network-driven approach.
• Multi-omics analysis of the crosstalk between the immune system and vascular system.
• Systems pharmacology for drug discovery (natural products or existing drugs) or elucidating underlying mechanisms against diseases due to vascular dysfunction.
• Application of real-world data in predicting disease/environmental risk factors, and efficacy evaluation of dietary intake or existing drugs for vascular dysfunction-related diseases.
• Developing interdisciplinary technologies, databases, or algorithms to speed up drug discovery and molecular biomarker identification by targeting vascular dysfunction.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
