Collagen XVIII/endostatin expression in experimental endotoxemic acute renal failure

Acute renal failure (ARF) is a frequent complication of Gram-negative sepsis, with a high risk of mortality. Lipopolysaccharide (LPS)-induced ARF is associated with hemodynamic changes that are strongly influenced by the overproduction of nitric oxide (NO) through the cytokine-mediated up-regulation of inducible NO synthase. LPS-induced reductions in systemic vascular resistance paradoxically culminate in renal vasoconstriction. Collagen XVIII is an important component of the extracellular matrix expressed in basement membranes. Its degradation by matrix metalloproteases, cathepsins and elastases results in the formation of endostatin, claimed to have antiangiogenic activity and to be a prominent vasorelaxing agent. We evaluated the expression of endostatin/collagen XVIII in an endotoxemic ARF model. ARF was induced in C57BL/6 mice by intraperitoneal injection of LPS (10 mg/kg) followed by sacrifice 4 and 12 h later. Kidney tissue was the source of RNA and protein and the subject of histological analysis. As early as 4 h after LPS administration, blood urea, creatinine and NO levels were significantly increased compared to control. Endostatin/collagen XVIII mRNA levels were 0.71 times lower than sham-inoculated mice 4 h after LPS inoculation, returning to normal levels 12 h after LPS inoculation. Immunohistological examination revealed that acute injury caused by LPS leads to an increase of endostatin basement membrane staining in association with the decrease of CD31 endothelial basement membrane staining. These results indicate that in the early phase of endotoxemic ARF the endostatin levels were not regulated by gene expression, but by the metabolism of collagen XVIII

Variability in the contents of pork meat nutrients and how it may affect food composition databases

Pork meat is generally recognised as a food with relevant nutritional properties because of its content in high biological value proteins, group B vitamins, minerals especially heme iron, trace elements and other bioactive compounds. But pork meat also contributes to the intake of fat, saturated fatty acids, cholesterol, and other substances that, in inappropriate amounts, may result in negative physiologically effects. However, there are relevant factors affecting the content of many of these substances and somehow such variability should be taken into consideration. So, genetics, age and even type of muscle have a relevant influence on the amount of fat and the contents in heme iron. Also the composition in fatty acids of triacylglycerols is very sensitive to the contents of cereals in the feed; for instance, polyunsaturated fatty acids may range from 10% to 22% in pork meat. The content of other nutrients, like vitamins E and A, are also depending on the type of feed. Some bioactive substances like coenzyme Q10, taurine, glutamine, creatine, creatinine, carnosine and anserine show a large dependence on the type of muscle. This manuscript describes the main factors affecting the composition of pork meat nutrients and how these changes may affect the general food composition databases. (C) 2012 Elsevier Ltd. All rights reserved.Grant AGL2010-16305 from the Spanish Ministry of Science and Innovation (Madrid, Spain) and FEDER Funds and collaboration of Vaquero Foundation for R+D on Pork Meat (Madrid, Spain) are acknowledged. Grant PROMETEO/2012/001 from Generalitat Valenciana (Spain) is also acknowldeged. Work prepared within the Unidad Asociada IAD (UPV)-IATA (CSIC) framework.Reig Riera, MM.; Aristoy, M.; Toldra, F. (2013). Variability in the contents of pork meat nutrients and how it may affect food composition databases. Food Chemistry. 140(3):478-482. https://doi.org/10.1016/j.foodchem.2012.11.085S478482140

Análise de Metadados para Inferência da Qualidade de Artigos da Wikipedia

A crescente quantidade de informações disponibilizadas na Web traz consigo uma preocupação com relação à qualidade destes dados já que cada vez mais eles são utilizados na tomada de decisões. Este trabalho analisou estatisticamente alguns metadados que podem ser utilizados para se determinar, de forma automática e objetiva, a qualidade dos artigos encontrados na Wikipedia