光化学法脑缺血后细胞凋亡及其相关基因bcl-2表达的变化

采用ＴＵＮＥＬ染色及免疫组织化学技术对光化学法脑缺血后细胞凋亡及其相关基因ｂｃｌ－２表达的变化进行了研究。结果发现，缺血后１２ｈ，损伤侧皮层缺血区内凋亡细胞数及ｂｃｌ－２免疫反应阳性细胞数明显增加，一直持续至缺血后７２ｈ；并呈现下列时程变化：在缺血后３ｈ每张切片上几乎无凋亡细胞出现，以后逐渐增加，缺血后１２ｈ达到峰值，缺血后２４ｈ和缺血后７２ｈ逐渐减少，但仍高于假手术组水平。凋亡相关基因ｂｃｌ－２的表达在缺血后３ｈ以前不明显，缺血后１２ｈ逐渐增加，缺血后２４ｈ最多，以后逐渐下降。上述结果提示，缺血后凋亡细胞的时程变化可能与缺血后梗塞灶的发生和发展有关，而ｂｃｌ－２表达的变化可能与抑制细胞凋亡、发挥内源性细胞保护作用有关。     

Repeated pre-training sleep restriction in adolescent rats impaired spatial performance

Sleep and Biological Rhythms - Chronic sleep deprivation (SD) is an overwhelming problem in young students. Firstly, we investigated whether different levels of pre-training SD had effects on...     

JSI-124 Suppresses Invasion and Angiogenesis of Glioblastoma Cells In Vitro

Glioblastoma multiforme (GBM) is one of the utmost malignant tumors. Excessive angiogenesis and invasiveness are the major reasons for their uncontrolled growth and resistance toward conventional strategies resulting in poor prognosis. In this study, we found that low-dose JSI-124 reduced invasiveness and tumorigenicity of GBM cells. JSI-124 effectively inhibited VEGF expression in GBM cells. In a coculture study, JSI-124 completely prevented U87MG cell–mediated capillary formation of HUVECs and the migration of HUVECs when cultured alone or cocultured with U87MG cells. Furthermore, JSI-124 inhibited VEGF-induced cell proliferation, motility, invasion and the formation of capillary-like structures in HUVECs in a dose-dependent manner. JSI-124 suppressed VEGF-induced p-VEGFR2 activity through STAT3 signaling cascade in HUVECs. Immunohistochemistry analysis showed that the expression of CD34, Ki67, p-STAT3 and p-VEGFR2 protein in xenografts was remarkably decreased. Taken together, our findings provide the first evidence that JSI-124 effectively inhibits tumor angiogenesis and invasion, which might be a viable drug in anti-angiogenesis and anti-invasion therapies.     

Energy Return on Investment (EROI) for Forty Global Oilfields Using a Detailed Engineering-Based Model of Oil Production

Studies of the energy return on investment (EROI) for oil production generally rely on aggregated statistics for large regions or countries. In order to better understand the drivers of the energy productivity of oil production, we use a novel approach that applies a detailed field-level engineering model of oil and gas production to estimate energy requirements of drilling, producing, processing, and transporting crude oil. We examine 40 global oilfields, utilizing detailed data for each field from hundreds of technical and scientific data sources. Resulting net energy return (NER) ratios for studied oil fields range from ≈2 to ≈100 MJ crude oil produced per MJ of total fuels consumed. External energy return (EER) ratios, which compare energy produced to energy consumed from external sources, exceed 1000:1 for fields that are largely self-sufficient. The lowest energy returns are found to come from thermally-enhanced oil recovery technologies. Results are generally insensitive to reasonable ranges of assumptions explored in sensitivity analysis. Fields with very large associated gas production are sensitive to assumptions about surface fluids processing due to the shifts in energy consumed under different gas treatment configurations. This model does not currently include energy invested in building oilfield capital equipment (e.g., drilling rigs), nor does it include other indirect energy uses such as labor or services.