Plasma lipids affect dabigatran etexilate anticoagulation in rats with unbalanced diabetes mellitus.

BACKGROUND: Dabigatran etexilate (DE) has similar stroke prevention efficacy in patients with and without diabetes mellitus (DM). However, the benefit of reducing major bleeding was not seen in diabetics. Thus, this study investigated anticoagulant responses to DE and the biological predictors of this response in a DM model. METHODS: Experiments were performed in six control (C), eight DE-treated control (CD), five diabetic (D), and eight DE-treated diabetic (DD) rats. Dabigatran etexilate (50 mg/kg/day) was administered in chow for 12 weeks. At the end of the study, plasma glucose, triglycerides, total cholesterol (TC), high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), and plasma creatinine were measured. Correlations were ascertained with the diluted thrombin time (dTT). RESULTS: When corrected for similar DE intake, dTT was significantly higher in DD than CD rats (P < 0.001). There was a significant negative correlation between creatinine clearance (CCr) and dTT (r = -0.91, P < 0.01) in DD rats. In addition, dTT was positively correlated with TC (r = 0.96, P < 0.01), LDL-C (r = 0.75, P = 0.04), and glucose (r = 0.83, P = 0.02). In multiple regression analysis, CCr (r = -0.81, P = 0.01), TC (r = 0.93, P < 0.001), and LDL-C (r = 0.74, P < 0.01) remained the only independent predictors of dTT. CONCLUSIONS: The results show a significantly more intense DE-induced anticoagulation in diabetic rats that does not seem to be solely related to altered kidney function, and demonstrate that plasma cholesterol can significantly affect DE anticoagulation in this setting.

Advanced modular automated calculation of the morpho-histological parameters in myocardial infarction.

Myocardial infarction represents the most investigated pathology. Heart tissues are histologically assayed on a routine base in clinical laboratories. However, the lack of a standard operation procedure for e.g. calculating the size of the infarcted area of myocardium, may lead to an increased errors' interval, with little correlation between results of a same tissue and/or with other pathophysiological parameters. This creates a clear barrier for further development of novel therapeutic strategies. In the present study, we present the robust applicability of a novel methodology such as: advanced modular automated calculation of (i) the size of infarcted heart of mice, (ii) the net collagen content present in the scar, and (iii) the interstitial fibrosis in remote, which are simultaneously performed. The new approach of defining the infarct size, one of the important predictor of every cardiac therapeutic intervention, will create a positive impact in the research accuracy. Additionally, it will be expected that the readily assembled reports of simultaneously computed parameters and its user-friendly operation allow an efficient and effective estimation of measurements.