Protective Effects of Caffeic Acid Phenethyl Ester (CAPE) and Novel Cape Analogue as Inducers of Heme Oxygenase-1 in Streptozotocin-Induced Type 1 Diabetic Rats.
Sorrenti ValeriaMarco RaffaeleLuca VanellaRosaria AcquavivaLoredana SalernoValeria PittalaSebastiano IntagliataClaudia Di GiacomoPublished in: International journal of molecular sciences (2019)
Type 1 diabetes mellitus (T1D) is a chronic autoimmune disease resulting in the destruction of insulin producing β-cells of the pancreas, with consequent insulin deficiency and excessive glucose production. Hyperglycemia results in increased levels of reactive oxygen species (ROS) and nitrogen species (RNS) with consequent oxidative/nitrosative stress and tissue damage. Oxidative damage of the pancreatic tissue may contribute to endothelial dysfunction associated with diabetes. The aim of the present study was to investigate if the potentially protective effects of phenethyl ester of caffeic acid (CAPE), a natural phenolic compound occurring in a variety of plants and derived from honeybee hive propolis, and of a novel CAPE analogue, as heme oxygenase-1 (HO-1) inducers, could reduce pancreatic oxidative damage induced by excessive amount of glucose, affecting the nitric oxide synthase/dimethylarginine dimethylaminohydrolase (NOS/DDAH) pathway in streptozotocin-induced type 1 diabetic rats. Our data demonstrated that inducible nitric oxide synthase/gamma-Glutamyl-cysteine ligase (iNOS/GGCL) and DDAH dysregulation may play a key role in high glucose mediated oxidative stress, whereas HO-1 inducers such as CAPE or its more potent derivatives may be useful in diabetes and other stress-induced pathological conditions.
Keyphrases
- diabetic rats
- nitric oxide synthase
- south africa
- oxidative stress
- nitric oxide
- glycemic control
- type diabetes
- stress induced
- induced apoptosis
- high glucose
- reactive oxygen species
- blood glucose
- dna damage
- cardiovascular disease
- endothelial cells
- ischemia reperfusion injury
- weight gain
- multiple sclerosis
- cell cycle arrest
- insulin resistance
- big data
- skeletal muscle
- pi k akt
- electronic health record
- metabolic syndrome
- adipose tissue
- blood pressure
- smoking cessation
- living cells
- body mass index
- deep learning
- machine learning
- drug induced
- physical activity