Joana Crisóstomo

Methylglyoxal promotes oxidative stress and endothelial dysfunction.

Modern diets can cause modern diseases. Research has linked a metabolite of sugar, methylglyoxal (MG), to the development of diabetic complications, but the exact mechanism has not been fully elucidated. The present study was designed to investigate whether MG could directly influence endothelial function, oxidative stress and inflammation in Wistar and Goto-Kakizaki (GK) rats, an animal model of type 2 diabetes. Wistar and GK rats treated with MG in the drinking water for 3 months were compared with the respective control rats. The effects of MG were investigated on NO-dependent vasorelaxation in isolated rat aortic arteries from the different groups. Insulin resistance, NO bioavailability, glycation, a pro-inflammatory biomarker monocyte chemoattractant protein-1 (MCP-1) and vascular oxidative stress were also evaluated. Methylglyoxal treated Wistar rats significantly reduced the efficacy of NO-dependent vasorelaxation (p<0.001). This impairment was accompanied by a three fold increase in the oxidative stress marker nitrotyrosine. Advanced glycation endproducts (AGEs) formation was significantly increased as well as MCP-1 and the expression of the receptor for AGEs (RAGE). NO bioavailability was significantly attenuated and accompanied by an increase in superoxide anion immunofluorescence. Methylglyoxal treated GK rats significantly aggravated endothelial dysfunction, oxidative stress, AGEs accumulation and diminished NO bioavailability when compared with control GK rats. These results indicate that methylglyoxal induced endothelial dysfunction in normal Wistar rats and aggravated the endothelial dysfunction present in GK rats. The mechanism is at least in part by increasing oxidative stress and/or AGEs formation with a concomitant increment of inflammation and a decrement in NO bioavailability. The present study provides further evidence for methylglyoxal as one of the causative factors in the pathogenesis of atherosclerosis and development of macrovascular diabetic complication.

Metformin and atorvastatin combination further protect the liver in type 2 diabetes with hyperlipidaemia

Non‐alcoholic fatty liver disease (NAFLD) and type 2 diabetes are associated with dyslipidaemia, inflammation and oxidative stress. However, the pathophysiology of NAFLD in type 2 diabetes with hyperlipidaemia is not fully known, as well as the utility of the commonly prescribed anti‐diabetic and lipid‐lowering drugs in ameliorating liver injury markers.

Methylglyoxal causes structural and functional alterations in adipose tissue independently of obesity.

Context:Adipose tissue is one of the first organs to develop insulin resistance even with moderate BMI. However, the contribution of developing hyperglycaemia and concomitant methylglyoxal increment to tissue dysfunction during type 2 diabetes progression was not addressed before. Methods:Young and aged Wistar and Goto-Kakizaki rats (non-obese model of type 2 diabetes) and a group of MG-treated W rats were used to investigate the chronic effects of hyperglycaemia and ageing and specifically MG-induced mechanisms. Results:Diabetic and aged rats showed decreased adipose tissue irrigation and interstitial hypoxia. Hyperglycaemia of diabetic rats leaded to fibrosis and accumulation of PAS-positive components, exacerbated in aged animals, which also showed decreased hipoadiponectinemia, increased MCP-1 expression and macrophage infiltration to glycated fibrotic regions. MG leaded to increased free fatty acids, hipoadiponectinemia, decreased irrigation, hypoxia and macrophage recruitment for glycated fibrotic regions. Conclusions:MG contributes to dysfunction of adipose tissue during type 2 diabetes progression.

A role for atorvastatin and insulin combination in protecting from liver injury in a model of type 2 diabetes with hyperlipidemia

Non-alcoholic fatty liver disease (NAFLD) is a major complication linked with the metabolic syndrome associated with dyslipidemia, inflammation, and oxidative stress. Impact of type 2 diabetes with hyperlipidemia in NAFLD has to be established, as well as the utility of commonly prescribed anti-diabetic and lipid-lowering agents in improving liver injury markers. Genetic type 2 diabetic Goto–Kakizaki rats were fed with a high-fat diet to test hepatic effects of type 2 diabetes with hyperlipidemia and the effect of atorvastatin and insulin, individually and in combination, in systemic and hepatic inflammatory and oxidative stress markers. High-fat diet aggravated fasting glycemia, systemic and liver lipids, and inflammatory and oxidative stress markers. Individual treatments improved glycemic and lipid profiles, but failed to improve inflammatory markers, whereas insulin was able to reduce liver oxidative stress parameters. Combination of insulin and atorvastatin further improved glycemic and lipid profiles and decreased circulating C-reactive protein levels and liver inflammatory and oxidative stress markers. Insulin and atorvastatin combination leads to better glycaemic and lipid profiles and to better protection against liver inflammation and oxidative stress, giving a superior level of liver protection in type 2 diabetic with hyperlipidemia.

Beneficial effects of dietary restriction in type 2 diabetic rats: the role of adipokines on inflammation and insulin resistance.

Inflammation plays an important role in diabetes mellitus and its complications. In this context, the negative cross-talk between adipose tissue and skeletal muscle leads to disturbances in muscle cell insulin signalling and induces insulin resistance. Because several studies have shown that energy restriction brings some benefits to diabetes, the aim of the present study was to evaluate the effects of dietary restriction on systemic and skeletal muscle inflammatory biomarkers, such C-reactive protein, adipokines and cytokines, and in insulin resistance in Goto-Kakizaki rats. This is an animal model of spontaneous non-obese type 2 diabetes with strongly insulin resistance and without dyslipidaemia. Animals were maintained during 2 months of dietary restriction (50 %) and were killed at 6 months of age. Some biochemical determinations were done using ELISA and Western blot. Data from the present study demonstrate that in Goto-Kakizaki rats the dietary restriction improved insulin resistance, NEFA levels and adipokine profile and ameliorated inflammatory cytokines in skeletal muscle. These results indicate that dietary restriction in type 2 diabetes enhances adipose tissue metabolism leading to an improved skeletal muscle insulin sensitivity.

Food Deprivation Promotes Oxidative Imbalance in Rat Brain

The present study was aimed to evaluate the effect of food deprivation in brain oxidative status of Wistar and Goto-Kakizaki (GK) rats. For this purpose, we evaluated several oxidative stress parameters: lipid peroxidation (thiobarbituric acid reactive substances [TBARS]) and protein oxidation markers, hydrogen peroxide (H(2)O(2)) levels, nonenzymatic (reduced [GSH] and oxidized glutathione [GSSG] and vitamin E) and enzymatic (glutathione peroxidase [GPx], glutathione reductase [GRed], and manganese superoxide dismutase [MnSOD]) antioxidant defenses. Four-mo-old Wistar and GK rats were divided into 2 groups. One group of each rat strain was maintained under normal diet and the other groups were maintained under 50% food deprivation during 2 mo. GK rats under normal diet presented lower levels of vitamin E and higher GRed activity and GSH/GSSG ratio when compared with Wistar control rats. In Wistar rats, food deprivation induced a significant decrease in vitamin E levels and a significant increase in GPx activity, H(2)O(2) production, and TBARS formation in the presence of the prooxidant pair ADP/Fe(2+). However, GK rats under food deprivation presented a significant decrease in vitamin E levels and GRed activity and a significant increase in H(2)O(2) production when compared with GK under normal diet. In summary, our results indicate that food deprivation affects brain oxidative status, which could predispose brain cells to degeneration and death.

Pyridoxamine reverts methylglyoxal-induced impairment of survival pathways during heart ischemia.

BACKGROUND AND AIMS Increased levels of advanced glycation end-products (AGE) and their precursors, such as methylglyoxal (MG), in patients with diabetes may account for impaired response to heart ischemia. Pyridoxamine is a derivate of vitamin B6, which has been shown to reduce AGE formation. Our goal was to assess the role of pyridoxamine in protecting from MG-induced impaired heart response to ischemia. METHODS Wistar rats were subjected to MG administration (WM), MG plus pyridoxamine (WMPyr), or no treatment (W). Half of the hearts from each group were submitted to ischemia and the other half were perfused as control. The levels of CEL, Bcl-2, Bax, and total and phosphorylated forms of JNK and Akt were determined. RESULTS Methylglyoxal led to higher levels of AGE and AGE receptor (RAGE) than in the W group. During ischemia, MG caused an impairment of survival pathways and Bcl-2/Bax ratio, a marker of apoptosis. Pyridoxamine treatment decreased glycation and restored the activation of JNK and Akt during ischemia. These events were followed by levels of Bcl-2/Bax ratio similar to W group. CONCLUSION Methylglyoxal-induced AGE accumulation impairs the activation of cell survival pathways during ischemia. Pyridoxamine-induced decrease of glycation inhibited the effects of MG accumulation in the heart, suggesting that it can be of added value to usual diabetic therapy.

Using Resistin, glucose, age and BMI to predict the presence of breast cancer

BackgroundThe goal of this exploratory study was to develop and assess a prediction model which can potentially be used as a biomarker of breast cancer, based on anthropometric data and parameters which can be gathered in routine blood analysis.MethodsFor each of the 166 participants several clinical features were observed or measured, including age, BMI, Glucose, Insulin, HOMA, Leptin, Adiponectin, Resistin and MCP-1. Machine learning algorithms (logistic regression, random forests, support vector machines) were implemented taking in as predictors different numbers of variables. The resulting models were assessed with a Monte Carlo Cross-Validation approach to determine 95% confidence intervals for the sensitivity, specificity and AUC of the models.ResultsSupport vector machines models using Glucose, Resistin, Age and BMI as predictors allowed predicting the presence of breast cancer in women with sensitivity ranging between 82 and 88% and specificity ranging between 85 and 90%. The 95% confidence interval for the AUC was [0.87, 0.91].ConclusionsThese findings provide promising evidence that models combining age, BMI and metabolic parameters may be a powerful tool for a cheap and effective biomarker of breast cancer.

Bioartificial Pancreas: In the Road to Clinical Application

With the increasing incidence of diabetes, it is urgent to develop a reliable and safe source of insulin production. Conventional transplantation of pancreatic tissue has been demonstrated to be an efficacious method of restoring glycaemic control in type 1 diabetes. However, the lack of donors, the use of immunosuppressants and the early β-cell failure limit the use of this approach. Regenerative medicine has focused on the design and application of bioartificial pancreas to treat this disease. Islet microencapsulation technique enables the transplantation in the absence of immunosuppression by protecting the cells through an immunoisolative membrane. This membrane should be able to protect transplanted allo- and xenogenic cells from the host, while facilitating adequate transport of oxygen, nutrients, and secreted hormones. Although many different materials and immunoisolation devices build-up processes have been studied, their viability in in vivo applications has been compromised. With clarification of all obstacles to the clinical application, new strategies will be developed that would increase the islet performance after transplantation.