Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality globally. Endothelial dysfunction is closely associated with the development and progression of CVDs. Patients with diabetes mellitus (DM) especially type-2 DM exhibit a significant endothelial cell dysfunction with substantially increased risk for CVDs. Excessive reactive oxygen species (ROS) and oxidative stress are important contributing factors to endothelial cell dysfunction and subsequent CVDs. ROS production is significantly increased in DM and is critically involved in the development of endothelial dysfunction in diabetic patients. In the present review, efforts are made to discuss the role of excessive ROS and oxidative stress in the pathogenesis of endothelial dysfunction and the mechanisms for excessive ROS production and oxidative stress in type-2 DM. Although studies with diabetic animal models have shown that targeting ROS with traditional antioxidant vitamins C and E or other antioxidant supplements provides promising beneficial effects on endothelial function, the cardiovascular outcomes of clinical studies with these antioxidant supplements have been inconsistent in diabetic patients. Preclinical and limited clinical data suggest that N-acetylcysteine (NAC) treatment may improve endothelial function in diabetic patients. However, well designed clinical studies are needed to determine if NAC supplementation would effectively preserve endothelial function and improve the clinical outcomes of diabetic patients with reduced cardiovascular morbidity and mortality. With better understanding on the mechanisms of ROS generation and ROS-mediated endothelial damages/dysfunction, it is anticipated that new selective ROS-modulating agents, and effective personalized strategies will be developed for the management of endothelial dysfunction in DM.
Keyphrases
- oxidative stress
- reactive oxygen species
- dna damage
- cell death
- endothelial cells
- diabetic rats
- ischemia reperfusion injury
- induced apoptosis
- cardiovascular disease
- type diabetes
- glycemic control
- transcription factor
- machine learning
- coronary artery disease
- signaling pathway
- mesenchymal stem cells
- metabolic syndrome
- physical activity
- anti inflammatory
- vascular endothelial growth factor
- wound healing
- cardiovascular events
- electronic health record
- weight loss
- artificial intelligence
- replacement therapy
- case control