The later-maturing prefrontal cortex is more sensitive to adolescent exposure than the earlier-maturing, primary somatosensory cortex. These data establish a link between chronic adolescent cannabinoid exposure and alterations in adult cortical network activity that

underlie cognitive processes.”
“Hypertensive cardiac disease is a major cause of death worldwide. Causative Selleck Alvocidib factors of hypertension include environmental stressors, genetic predisposition, and common morbidities of lipid metabolism such as obesity and diabetes. These factors pathologically elevate the systemic production of vasoconstrictive G-protein-coupled receptor agonists. Pathological concentrations of these agonists upregulate the gene expression and proteolytic activity of matrix metalloproteinases (MMPs) and A disintegrin and metalloproteinases (ADAMs). Among the metalloproteinases

that act in concert with other mediators to elevate the systemic blood pressure and to modulate the development of cardiovascular hypertrophy and fibrosis processes are MMP-2, MMP-7, ADAM-12, and ADAM-17. This review offers insights into the Apoptosis inhibitor activity, differential expression, mutual regulation, and functions of these metalloproteinases. We further review evidence linking them to transcription factors, carrier proteins, and receptors for lipids. The emerging links between metalloproteinases and lipids are intriguing and suggest new therapeutic targets in hypertensive cardiac disease. Copyright (C) 2012 S. Karger AG, Basel”
“We introduce a framework for predicting novel protein-protein interactions (PPIs), based on Fisher’s method for combining probabilities of predictions that are based on different data sources, selleck products such as the biomedical literature, protein domain and mRNA expression information. Our method compares favorably to our previous method based on text-mining alone and other methods such as STRING. We evaluated our algorithms through the prediction of experimentally

found protein interactions underlying Muscular Dystrophy, Huntington’s Disease and Polycystic Kidney Disease, which had not yet been recorded in protein-protein interaction databases. We found a 1.74-fold increase in the mean average prediction precision for dysferlin and a 3.09-fold for huntingtin when compared to STRING. The top 10 of predicted interaction partners of huntingtin were analysed in depth. Five were identified previously, and the other five were new potential interaction partners. The full matrix of human protein pairs and their prediction scores are available for download. Our framework can be extended to predict other types of relationships such as proteins in a complex, pathway or related disease mechanisms.