https://www.selleckchem.com/pharmacological_epigenetics.html Despite decades of research on pathophysiology of myocardial stunning, protein changes and/or phosphorylation status underlying alterations in cardiac function/structure remain inadequately understood. Here, we utilized comprehensive and quantitative proteomic and phosphoproteomic approaches to explore molecular mechanisms of myocardial stunning in swine. The closed-chest swine (n=5) were subjected to a 10-minute LAD occlusion producing regional myocardial stunning. Tissues from the ischemic LAD region and a remote non-ischemic area of the left ventricle were collected 1-hour after reperfusion. Ion current-based proteomics (IonStar) and quantitative phosphoproteomics were employed in parallel to identify alterations in protein level and site-specific phosphorylation changes. A novel swine-heart protein database exhibiting high-accuracy and low-redundancy was developed here to facilitate comprehensive study. Further informatic investigations identified potential protein-protein interactions in stunned myocardional research in porcine models with cardiovascular diseases.BACKGROUND The error in estimating meal carbohydrates (CHO) amount is a critical mistake committed by type 1 diabetes (T1D) subjects. The aim of this study is both to investigate which factors, related to meals and subjects, affect the CHO-counting error most and, to develop a mathematical model of CHO-counting error embeddable in T1D patient decision simulators to do in silico clinical trials. METHODS A published dataset of 50 T1D adults is used, which includes patient's CHO-count of 692 meals, dietitian's estimates of meal composition (used as reference), and several potential explanatory factors. The CHO-counting error is modeled by multiple linear regression with stepwise variable selection starting from 10 candidate predictors, i.e. education level, insulin treatment duration, age, body weight, meal type, CHO, lipid, energy, protein and