Metabolic Dysfunction and Cardiovascular Disease
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Endocrinology and Metabolism".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 3
Special Issue Editor
Interests: cardiology; cardiovascular diseases
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
Metabolic dysfunction is increasingly recognized as a central driver of cardiovascular disease (CVD), contributing to its global burden of morbidity and mortality. Obesity, insulin resistance, dyslipidemia, and type 2 diabetes mellitus create a complex pathophysiological milieu that promotes vascular injury, myocardial remodeling, arrhythmogenesis, and accelerated atherosclerosis. The interplay between metabolic derangements and cardiovascular pathology is mediated by multiple molecular and cellular mechanisms, including oxidative stress, chronic low-grade inflammation, endothelial dysfunction, mitochondrial impairment, maladaptive immune responses, and altered substrate utilization. Genetic and epigenetic determinants, together with non-coding RNAs, further shape disease susceptibility and progression. Despite advances in pharmacological and interventional therapies, the mechanistic links between metabolic dysfunction and CVD have not yet been fully elucidated, hampering the development of precision medicine approaches.
This Special Issue of the International Journal of Molecular Sciences will highlight cutting-edge research into molecular pathways, biomarkers, and translational strategies connecting metabolic dysfunction and cardiovascular disease. By fostering interdisciplinary contributions, we aim to promote mechanistic understanding and accelerate innovation in prevention, diagnosis, and treatment.
Prof. Dr. Carmine Savoia
Guest Editor
Manuscript Submission Information
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Keywords
- metabolic dysfunction
- cardiovascular disease
- inflammation
- endothelial dysfunction
- oxidative stress
- biomarkers
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