About this Research Topic
Cardiovascular disease (CVD) is a leading cause of deaths worldwide, with yearly deaths due to atherothrombosis -(i.e. thrombosis complicating an atherosclerotic plaque)- expected to increase from 17.3 to 23.6 million by 2030. In recent years, continuous advances in science and the development of new techniques have allowed a better description of the complex network of factors involved in the onset of atherosclerosis and its progression. In particular, the improvement of new techniques (e.g. omics approaches) is helping to unravel the role of new and already known processes in CVD development (e.g. oxidative stress, inflammation, fatty acid oxidation) in addition to traditional risk factors. This is crucial for the development of innovative strategies for CVD prevention (including novel laboratory technologies to explore metabolic alterations and molecular studies of predisposition genes) and treatment.
The goal of this Research Topic is to identify appropriate targets in CVD prevention and treatment, the most advanced research information in the field should be gathered and linked/translated to practical (clinical and pathophysiological) questions.
Based on the purpose of this Research Topic, the following themes should be covered, but not limited to:
• Metabolites as biomarkers for diagnosis of cardiovascular disease.
• Metabolites as targets in cardiovascular disease prevention and/or treatment.
• Molecular gaps in metabolic regulations during disease pathogenesis.
• Approaches profiling metabolomics and metabolites.
• Metabolic dysregulation in the control of several forms of cardiovascular disease (acute ad chronic).
• Therapeutics targeting metabolic processes.
• Metabolic crosstalk between cardiovascular disease and others (such as cardiovascular risk factors).
• Nutritional approaches aimed to prevent of ameliorate cardiovascular outcome.
Keywords: functional studies, cell and animal models, Cardiovascular disease, Atherosclerotic prevention, Oxidative stress, Metabolomics, Pharmacometabolomics
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