Phospholipase C epsilon (PLCε) is a oncogene in various malignancies and regulates diverse cellular functions. But understanding of the relation between PLCε and glycolytic pathways has not been clearly identified. In the present study, we explored the effect of PLCε on the Warburg effect and tumorigenesis in bladder cancer (BCa). In our study, we showed that PLCε expression was elevated in BCa samples compared with matched adjacent nonmalignant bladder tissues. PLCε depletion using Lentivirus-shPLCε (LV-shPLCε) dramatically decreased cell growth, glucose consumption and lactate production, arresting T24 and BIU cells in the S phase of the cell cycle. We also observed that PLCε was correlated with the activation of protein kinase B (AKT) and cell division cycle 25 homolog A (Cdc25a) overexpression. In addition, we demonstrated that AKT/glycogen synthase kinase 3 beta (GSK3β)/Cdc25a signaling pathways are involved in the PLCε-mediated Warburg effect in BCa. Moreover, we showed that PLCε had an effect on tumorigenesis in in vivo experiments. In summary, our findings demonstrate that AKT/GSK3β/Cdc25a is critical for the effect PLCε on Warburg effect and tumorigenesis.
Seeking an excellent electrocatalyst is the trickiest issue for the application of urea electro-oxidation and electro-detection. Phosphorus-doped nickel plating on carbon fibers (Ni-P/CF) is synthesized by simple electroless plating. SEM results exhibit that the Ni-P densely and uniformly grows onto the surface of carbon fibers (CF), forming carbon fibers-like nanoarchitectures. Benefiting from the carbon fibers-like nano architectures with abundant exposed active sites on the surface of CF, electron transfer can be synchronously facilitated, and Ni-P/CF displays superior urea electrooxidation (UOR) performance with potentials of 1.40 V to reach 100 mA cm−2. Impressively, it can maintain at 20 mA cm−2 for 48 h without evident activity attenuation, demonstrating robust durability. Cycle stability shows that the voltage has only increased by 10 mV at 300 mA cm−2 from the 10th to 20000th cycles. Most importantly, Ni-P/CF at a length of 100 cm with good reproducibility was successfully synthesized, denoting great potential for large-scale industrial production. Therefore, this work not only affords cost-effective tactics for urea-rich wastewater degradation but also can achieve practical medical applications.
Background: Pneumonia is a major health problem and the most important causes of mortality in all age groups worldwide. We investigated new automation technology to detect plasma biomarkers, including thrombinantithrombin complex (TAT), α2-plasmininhibitor-plasmin complex (PIC), soluble thrombomodulin (sTM), and tissue plasminogen activator-inhibitor complex (t-PAI·C), and evaluated their diagnostic performance and prognostic value for severe pneumonia patients. Methods: We collected 414 patients date with pneumonia. sTM, t-PAI·C, TAT, PIC were measured by qualitative chemiluminescence immunoassay performed on HISCL analyzers. Other laboratory tests were evaluated on the day of non-severe pneumonia and severe pneumonia diagnosis. Results: There were significant differences in sTM, t-PAI·C, TAT, PIC ( p < 0.0001), WBC ( p = 0.023), PCT ( p = 0.007) and IL-6 ( p = 0.002) between the severe pneumonia and non-severe pneumonia groups, Logistic regression analysis showed that sTM ( p = 0.001), t-PAI·C ( p = 0.001), TAT ( p = 0.022), PIC ( p = 0.000) and APTT ( p = 0.013) were independent risk factors for severe pneumonia. Logistic regression analysis showed that t-PAI·C ( p = 0.006) was an independent risk factor for hospital mortality in severe pneumonia. The AUC of sTM combined with t-PAI·C, TAT and PIC on diagnosis of patients with severe pneumonia was 0.868 (95% CI: 0.837, 0.899). Kaplan-Meier survival analysis with a log-rank test showed the in-hospital death rate of severe pneumonia was higher in the high TAT (≥ 5.58ng/mL) level than in group with low TAT (< 5.58ng/mL) level (log rank < 0.029). The same trend with high t-PAI·C was also found in severe pneumonia patients (log rank < 0.021). Conclusions: The thrombosis markers are helpful for the diagnosis and prognostic assessment of severe pneumonia.