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Conical Nanotubes Produced through Nuclear Coating Deposition associated with Al2O3, TiO2, along with SiO2 inside Imprinted Ion-Track Nanochannels.
Enhanced glucose metabolism is one of the hallmarks of pancreatic cancer. MUC1, a transmembrane protein, is a global regulator of glucose metabolism and essential for progression of pancreatic cancer. To clarify the role of MUC1 in glucose metabolism, we knocked out MUC1 in Capan-1 and CFPAC-1 cells. MUC1 knockout (KO) cells uptook less glucose and secreted less lactate with a much lower proliferating rate. The mRNA level of key enzymes in glycolysis also decreased significantly in MUC1 KO cells. We also observed increased expression of breast cancer type 1 susceptibility protein (BRCA1) in MUC1 KO cells. Since BRCA1 has a strong inhibitory effect on glycolysis, we want to know whether the decreased glucose metabolism in MUC1 KO cells is due to increased BRCA1 expression. We treated wild type (WT) and MUC1 KO cells with BRCA1 inhibitor. BRCA1 inhibition significantly enhanced glucose uptake and lactate secretion in both WT and MUC1 KO cells. Expression of key enzymes in glycolysis also elevated after BRCA1 inhibition. Elevated glucose metabolism is known to facilitate cancer cells to gain chemoresistance. We treated MUC1 KO cells with gemcitabine and FOLFIRINOX in vitro and in vivo. The results showed that MUC1 KO sensitized pancreatic cancer cells to chemotherapy both in vitro and in vivo. In conclusion, we demonstrated that MUC1 promotes glycolysis through inhibiting BRCA1 expression. MUC1 may be a therapeutic target in pancreatic cancer treatment. The objective of this study was to verify the protective effect of Bifidobacterium longum (BL) and the synergistical effect of Selenium and BL on alcohol plus high fat diet (HFD) induced hepatic injury in mice. We also want to explore the mechanism of Selenium-enriched Bifidobacterium longum (SeBL). C57BL/6 mice were treated with alcohol plus HFD with or without different dosage of BL or SeBL for 4 weeks. Serum levels of ALT, AST, TC, TG, LDL-C, HDL-C, FFAs, TNF-α, IL-6 and IL-1β, hepatic MDA level, SOD activity, the mRNA levels of AMPK, PPAR-α and SREBP1 were invested. SeBL inhibited lipid accumulation in hepatocytes; reduced serum AST and ALT levels; improved dyslipidemia; decreased serum FFAs, TC, TG and LDL-C levels. SeBL also inhibited alcohol plus HFD-induced hepatocyte oxidative stress through decrease in hepatic MDA levels and increase in SOD activity. SeBL also regulated lipid metabolism related genes such as AMPK, PPAR-α and SREBP1. Although BL had similar effect as SeBL, SeBL is more effective than BL. SeBL protected mice from alcohol plus HFD-induced hepatic injury in mice because of its inhibitory effect on hepatocellular oxidative stress, lipogenesis and inflammation. Selenium enhanced the protective effect of BL. The liver is an important metabolic organ and controls lipid, glucose and energy metabolism. Dysruption of hepatic lipid metabolism is often associated with fatty liver diseases, including nonalcoholic fatty liver disease (NAFLD), alcoholic fatty liver diseases (AFLD) and hyperlipidemia. Recent studies have uncovered the contribution of hormones, transcription factors, and inflammatory cytokines to the pathogenesis of dyslipidemia and fatty liver diseases. Moreover, a significant amount of effort has been put to examine the mechanisms underlying the potential therapeutic effects of many natural plant products on fatty liver diseases and metabolic diseases. We review the current understanding of insulin, thyroid hormone and inflammatory cytokines in regulating hepatic lipid metabolism, focusing on several essential transcription regulators, such as Sirtuins (SIRTs), Forkhead box O (FoxO), Sterol-regulatory element-binding proteins (SREBPs). EPZ005687 research buy We also discuss a few representative natural products with promising thereapeutic effects on fatty liver disease and dyslipidemia. STUDY OBJECTIVE We developed prediction models for hospital admission and prolonged length of stay in older adults admitted from the emergency department (ED). METHODS This was a retrospective cohort study of patients aged 70 years or older who visited a geriatric ED in Brazil (N=5,025 visits). We randomly allocated participants to derivation and validation samples in a 21 ratio. We then selected 21 variables based on their clinical relevance and generated models to predict the following outcomes hospital admission and prolonged length of stay, defined as the upper tertile of hospital stay. We used backward stepwise logistic regressions to select our final predictors and developed risk scoring systems based on the relative values of their β coefficients. RESULTS Overall, 57% of the participants were women, 31% were hospitalized, and 1% died in the hospital. The upper tertile of hospital stay was greater than 7 days. Hospital admission was best predicted by a model including male sex, aged 90 years or older, hospitalization in the previous 6 months, weight loss greater than or equal to 5% in the previous year, acute mental alteration, and acute functional decline. The prediction of prolonged length of stay retained the same variables, except male sex, which was substituted for fatigue. The final scoring system reached areas under the receiver operating characteristic curve of 0.74 for hospital admission and 0.79 for prolonged length of stay, and their accuracies were confirmed in the validation models. CONCLUSION The PRO-AGE scoring system predicted hospital admission and prolonged length of stay in older adults with good accuracy, using a simple approach and only 7 easily obtained clinical variables. PURPOSE To investigate the orthopedic injuries sustained while driving and using social media on cellular phones from an orthopedic resident's perspective. METHODS A total of 118 patients who presented with a history of road traffic accident secondary to social media usage and suffered from fractures were included in this cross-sectional study. These patients were reported from October 2018 to April 2019. We collected the data including the type of collision, type of social media usage during driving, location of injury, wearing of safety equipment's such as helmet and seat belt during driving. RESULTS The mean age of patients was (34.86 ± 12.73) (range 15-71) years. The common types of accident on the basis of collision of vehicles were car versus motorbike 45 (38.1%), motorbike versus motorbike 28 (23.7%), and motorbike versus pedestrian 22 (18.6%). Most of the accidents (61, 51.7%) occurred due to mistake of motor-bikers. Out of them, 44 (37.3%) occurred on traffic signals, followed by 29 (24.6%) while driving on main roads.
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