Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 23, Issue 9, Pages -Publisher
MDPI
DOI: 10.3390/ijms23094589
Keywords
diabetes mellitus; hyperglycemia; coronary artery disease; epigenetics; epidrugs
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Diabetes mellitus is a glucose metabolism disorder that affects more than 1 in 10 adults and is associated with an increased risk of cardiovascular disease. The main cause of death in diabetic patients is cardiovascular disease, with coronary artery disease and ischemic cardiomyopathy as major contributors. Damage to vascular endothelial cells caused by high blood sugar levels leading to endothelial dysfunction is the main initiating factor in the development of diabetic vascular complications.
Diabetes mellitus (DM) is a glucose metabolism disorder characterized by chronic hyperglycemia resulting from a deficit of insulin production and/or action. DM affects more than 1 in 10 adults, and it is associated with an increased risk of cardiovascular morbidity and mortality. Cardiovascular disease (CVD) accounts for two thirds of the overall deaths in diabetic patients, with coronary artery disease (CAD) and ischemic cardiomyopathy as the main contributors. Hyperglycemic damage on vascular endothelial cells leading to endothelial dysfunction represents the main initiating factor in the pathogenesis of diabetic vascular complications; however, the underlying pathophysiological mechanisms are still not entirely understood. This review addresses the current knowledge on the pathophysiological links between DM and CAD with a focus on the role of epigenetic modifications, including DNA methylation, histone modifications and noncoding RNA control. Increased knowledge of epigenetic mechanisms has contributed to the development of new pharmacological treatments (epidrugs) with epigenetic targets, although these approaches present several challenges. Specific epigenetic biomarkers may also be used to predict or detect the development and progression of diabetes complications. Further studies on diabetes and CAD epigenetics are needed in order to identify possible new therapeutic targets and advance personalized medicine with the prediction of individual drug responses and minimization of adverse effects.
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