Endothelial Metabolism in Health and Disease
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Cell Metabolism".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 3118
Special Issue Editors
Interests: Cardiovascular system; endothelium; bioinformatics; pharmaco-metrics; pharmacology.
Special Issue Information
Dear Colleagues,
Metabolism is paramount to endothelium and vascular function. Indeed, metabolome profiling has recently become an essential aspect to many studies aiming to deliver quantitative and mechanistic understanding of health and disease conditions. Metabolomics is a consolidated powerful tool to decipher complex mechanisms that result in endothelial dysfunction. Furthermore, computational approaches such as genome-scale metabolic modeling represent additional key tools to understand endothelial metabolic and phenotypic transitions. Since the endothelium constitutes an active interface between circulating blood, lymph and all organs, metabolome profile quantification has the potential to generate new insights into a plethora of pathological conditions including sepsis, diabetes, cardiovascular diseases, cancer and infectious diseases such as COVID-19. Insights obtained from the application of metabolomics techniques to better understand endothelial function pave the way to reveal novel therapeutic targets, in addition to detecting early metabolic signs of disease transition.
The scope of this Special Issue “Endothelial Metabolism in Health and Disease” is devoted to topics that include metabolic studies of human and murine endothelium, endothelial cell cultures, the cardiovascular system, computational genome-scale metabolic analyses, lipidomics, metabolomics, as well as innovative bioanalysis and data integration for the discovery of therapeutic targets that may prevent or decrease endothelial dysfunction.
Dr. Thomas Duflot
Dr. Adrian Lopez Garcia De Lomana
Guest Editors
Manuscript Submission Information
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Keywords
- metabolomics
- mass spectrometry
- genome-scale metabolic modeling
- endothelial function
- biomarkers
- vascular function
- novel therapeutic targets
- cardiovascular diseases
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