scholarly journals Synergistic Effect of 3′,4′-Dihidroxifenilglicol and Hydroxytyrosol on Oxidative and Nitrosative Stress and Some Cardiovascular Biomarkers in an Experimental Model of Type 1 Diabetes Mellitus

Antioxidants ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1983
Author(s):  
José Pedro De La Cruz Cortés ◽  
Leticia Vallejo-Carmona ◽  
María Monsalud Arrebola ◽  
Esther Martín-Aurioles ◽  
María Dolores Rodriguez-Pérez ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Platelet Aggregation ◽  
Synergistic Effect ◽  
Experimental Model ◽  
Nitrosative Stress ◽  
Oxidized Ldl ◽  
Virgin Olive Oil ◽  
Oxidative And Nitrosative Stress ◽  
Cardiovascular Biomarkers

The objective of this study was to assess a possible synergistic effect of two extra-virgin olive oil polyphenols, 3,4,-dyhydroxyphenylglycol (DHPG) and hydroxytyrosol (HT), in an experimental model of type 1 diabetes. Seven groups of animals were studied: (1) Nondiabetic rats (NDR), (2) 2-month-old diabetic rats (DR), (3) DR treated with 5 mg/kg/day p.o. HT, (4) DR treated with 0.5 mg/kg/day p.o. DHPG, (5) DR treated with 1 mg/kg/day p.o. DHPG, (6) DR treated with HT + DHPG (0.5), (7) DR treated with HT + DHPG (1). Oxidative stress variables (lipid peroxidation, glutathione, total antioxidant activity, 8-isoprostanes, 8-hydroxy-2-deoxyguanosine, and oxidized LDL), nitrosative stress (3-nitrotyrosine), and some cardiovascular biomarkers (platelet aggregation, thromboxane B2, prostacyclin, myeloperoxidase, and vascular cell adhesion protein 1 (VCAM-1)) were analyzed. The diabetic animals showed an imbalance in all of the analyzed variables. HT exerted an antioxidant and downregulatory effect on prothrombotic biomarkers while reducing the fall of prostacyclin. DHPG presented a similar, but quantitatively lower, profile. HT plus DHPG showed a synergistic effect in the reduction of oxidative and nitrosative stress, platelet aggregation, production of prostacyclin, myeloperoxidase, and VCAM-1. This synergism could be important for the development of functional oils enriched in these two polyphenols in the proportion used in this study.

scholarly journals Nephroprotective Effect of the Virgin Olive Oil Polyphenol Hydroxytyrosol in Type 1-like Experimental Diabetes Mellitus: Relationships with Its Antioxidant Effect

Antioxidants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1783
Author(s):  
María Dolores Rodríguez-Pérez ◽  
Juan Antonio López-Villodres ◽  
María Monsalud Arrebola ◽  
Esther Martín-Aurioles ◽  
África Fernández-Prior ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Experimental Model ◽  
Nitrosative Stress ◽  
Virgin Olive Oil ◽  
Diabetic Rats ◽  
Oxidative And Nitrosative Stress ◽  
Statistical Correlations ◽  
Calculated Creatinine Clearance ◽  
Nephroprotective Effect

The aim of this study was to determine whether hydroxytyrosol administration prevented kidney damage in an experimental model of type 1 diabetes mellitus in rats. Hydroxytyrosol was administered to streptozotocin-diabetic rats: 1 and 5 mg/kg/day p.o. for two months. After hydroxytyrosol administration, proteinuria was significantly reduced (67–73%), calculated creatinine clearance was significantly increased (26–38%), and the glomerular volume and glomerulosclerosis index were decreased (20–30%). Hydroxytyrosol reduced oxidative and nitrosative stress variables and thromboxane metabolite production. Statistical correlations were found between biochemical and kidney function variables. Oral administration of 1 and 5 mg/kg/day of hydroxytyrosol produced an antioxidant and nephroprotective effect in an experimental model of type 1-like diabetes mellitus. The nephroprotective effect was significantly associated with the systemic and renal antioxidant action of hydroxytyrosol, which also influenced eicosanoid production.

scholarly journals Extra-Virgin Olive Oil Reduces Glycemic Response to a High–Glycemic Index Meal in Patients With Type 1 Diabetes: A Randomized Controlled Trial

Diabetes Care ◽  
2016 ◽  
Vol 39 (4) ◽  
pp. 518-524 ◽  
Author(s):  
Lutgarda Bozzetto ◽  
Antonio Alderisio ◽  
Marisa Giorgini ◽  
Francesca Barone ◽  
Angela Giacco ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Type 1 Diabetes ◽  
Glycemic Index ◽  
Controlled Trial ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Glycemic Response ◽  
Randomized Controlled ◽  
High Glycemic Index

scholarly journals Oxidized LDL and AGE-LDL in circulating immune complexes strongly predict progression of carotid artery IMT in type 1 diabetes

2013 ◽  
Vol 231 (2) ◽  
pp. 315-322 ◽  
Author(s):  
Kelly J. Hunt ◽  
Nathaniel Baker ◽  
Patricia Cleary ◽  
Jye-Yu Backlund ◽  
Timothy Lyons ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Carotid Artery ◽  
Immune Complexes ◽  
Oxidized Ldl ◽  
Circulating Immune Complexes

Nitrosative stress in early Type 1 diabetes

2003 ◽  
Vol 13 (6) ◽  
pp. 406-421 ◽  
Author(s):  
Robert D. Hoeldtke
Keyword(s):  
Type 1 Diabetes ◽  
Nitrosative Stress ◽  
Early Type

scholarly journals Influence of hyperinsulinemic – hypoglycemic clamp on induced platelet aggregation, activity of physiological anticoagulants and von Willebrand factor in patients with type I diabetes

2018 ◽  
Vol 21 (2) ◽  
pp. 84-91
Author(s):  
Iwona R. Jarek-Martynowa ◽  
Mikhail Y. Martynov ◽  
Karina G. Sarkisova ◽  
Ekaterina O. Koksharova ◽  
Ekaterina E. Mishina ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Platelet Aggregation ◽  
Platelet Activation ◽  
Protein C ◽  
Protein S ◽  
Normal Limits ◽  
Von Willebrand ◽  
Willebrand Factor ◽  
Protein S Activity

Background. Intensive glycaemic control in patients with type 1 diabetes may lead to hypoglycaemia and thus increase the risk of cardiovascular and cerebrovascular events. Platelet activation and/or decreased activity of physiological anticoagulants during hypoglycaemia may play a role in the development of cardiovascular or cerebrovascular complications. Aims. To investigate induced platelet activity, the activity of physiological anticoagulants, and the von Wil-lebrand factor in patients with type 1 diabetes with the hyperinsulinaemichypoglycaemic clamp. Materials and methods. We examined 11 patients with type 1 diabetes without macro- and micro-vascular complications (6 males, 5 females, mean age 23.7 5.6 years, A1C 9.7 2.3%). Induced platelet aggregation, physiological anticoagulants (Protein S, Protein C, AT III) and the von Willebrand factor were studied at hyperglycaemic, euglycaemic, and hypoglycaemic stages during use of a hyperinsulinaemic (1 mU/kg/min) hypoglycaemic clamp. Results. Platelet aggregation to all agonists increased significantly during the hypoglycaemic stage, compared with the euglycaemic or hyperglycaemic stages. There was no difference in platelet aggregation between the euglycaemic and hyperglycaemic stages. Platelet aggregation to all agonists increased during the hypoglycaemic stage compared with the hyperglycaemic period: thrombin23.9%, ADP30.6%, arachidonic acid30.9%, collagen69.4% and ristocetin70.8%. During hypoglycaemia aggregation to ADP, arachidonic acid and collagen remained within normal limits (upper quartile); aggregation to thrombin was significantly above normal limits and aggregation to ristocetin remained significantly below lower limits. Protein S activity was significantly increased during hypoglycaemia compared with euglycaemia (p = 0.046) and hyperglycaemia (p = 0.046). Antithrombin-III activity decreased significantly at the euglycaemic and hypoglycaemic stages, compared with the hyperglycaemic period, but still remained significantly elevated above the upper threshold. Protein C and vWf activity did not change significantly. Conclusions. In patients with type 1 diabetes platelet aggregation and protein S activity increases significantly at the hypoglycaemic stage of the hyperinsulinaemichypoglycaemic clamp. Platelet activation is directly caused by hypoglycaemia and not by decreasing glucose levels. Increased protein S activity is a compensatory response to platelet activation.

Abstract P135: Body Mass Index and Indicators of Adiposity Are Adversely Associated With Cardiovascular Biomarkers in Youth With Type 1 Diabetes Over 18 Months

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Leah M Lipsky ◽  
Tonja R Nansel ◽  
Denise L Haynie ◽  
Lori M Laffel ◽  
Sanjeev N Mehta ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Type 1 Diabetes ◽  
Body Composition ◽  
Glycemic Control ◽  
Body Mass ◽  
Statistical Significance ◽  
Insulin Regimen ◽  
Time Varying ◽  
Cardiovascular Biomarkers

Hypothesis: The association of excess weight with an adverse cardiometabolic profile in patients with type 1 diabetes (T1D) is unclear. The purpose of this study was to test the hypothesis that increasing BMI and adiposity indicators in youth with T1D are adversely associated with glycemic control and cardiovascular biomarkers. Methods: Subjects were youth participants of a family-based randomized controlled dietary intervention (N=136, age=12.3±2.5y, baseline A1c=8.1±1.1%). Glycemic control (A1c and 1,5-Anhydroglucitol, 1,5-Ag), body mass index (BMI, from measured height and weight), serum lipids (total cholesterol, TC; HDL-cholesterol, HDL-C; LDL-cholesterol, LDL-C; triglycerides, TG), inflammation (c-reactive protein, CRP), oxidative stress (8-iso-prostaglandin F2alpha, 8-iso-PGF2α), adiponectin and blood pressure (systolic, SBP; diastolic, DBP) were assessed at baseline and every 6 months for 18 months. Total and truncal lean, fat-free mass and percent fat (%fat) were measured by Dual X-ray Absorptiometry (DXA) scan at baseline, 12 months and 18 months. Multi-level linear mixed effects regression models (with a random intercept and a random slope for time) were used to estimate associations of time-varying BMI and body composition with time-varying indicators of glycemic control and cardiometabolic health. Covariates included time, sex, height, baseline age, treatment assignment, baseline diabetes duration, insulin regimen, insulin dose/kg and physical activity. Probability values <0.05 were considered to indicate statistical significance. Results: Time-varying BMI and body composition indicators were differentially associated with time-varying glycemic control and cardiometabolic indicators. A1C was unrelated to BMI and body composition, although 1,5-Ag was inversely associated with total %fat; inverse associations of 1,5-Ag with BMI and trunk %fat approached statistical significance (p=0.07). LDL-C was positively associated with trunk fat and trunk %fat; TG and HDL-C were positively associated with BMI and trunk fat, and HDL-C was inversely associated with total lean and trunk lean mass. CRP was positively associated with BMI, and with total and truncal fat and %fat. SBP and DBP were positively associated with BMI, %fat, trunk fat and trunk %fat. TC, 8-iso-PGF2α and adiponectin were unrelated to BMI and body composition. Discussion: In a sample of youth with moderately well-controlled T1D, time-varying BMI and indicators of body fat were not universally associated with time-varying glycemic control and cardiometabolic indicators over 18 months. Significant associations of adiposity indicators, particularly BMI and trunk fat, with hyperglycemic excursions (1,5-Ag), several blood lipids (TG, HDL-C, and LDL-C), and inflammation (8-iso-PGF2α) suggest a role of excess body weight in the development of cardiovascular risk in this sample.

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