Fentanyl Increases Colorectal Carcinoma Cell Apoptosis by Inhibition of NF-κB in a Sirt1-dependent Manner

Zhang, Xiu-Lai,Chen, Min-Li,Zhou, Sheng-Li Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22

Background: Fentanyl is used as an analgesic to treat pain in a variety of patients with cancer and recently it has become considered to also act as an antitumor agent. The study present was designed to investigate the effects of fentanyl on colorectal cancer cell growth and plausible mechanisms. Materials and Methods: The human colorectal carcinoma cell line HCT116 was subcutaneously injected into nude mice. The viability of HCT116 was tested by MTT assay, and apoptosis by flow cytometry and caspase-3 activity. The expression of Sirt1 and NF-${\kappa}B$ were evaluated by Western blotting and the levels of Sirt1 and NF-${\kappa}B$ by fluorescence method. SiRNA was used to silence and Ad-Sirt1 to overexpress Sirt1. Results: Our data showed that fentanyl could inhibit tumor growth, with increased expression of Sirt1 and down-regulation of Ac-p65 in tumors. Compared with control cells without treatment, HCT116 cells that were incubated with fentanyl had a higher apoptotic rate. Moreover, fentanyl could increase expression and activity of Sirt1 and inhibitor expression and activity of NF-${\kappa}B$, which might be mechanisms of fentanyl action. Conclusions: Fentanyl increased colorectal carcinoma cell apoptosis by inhibition of NF-${\kappa}B$ activation in a Sirt1-dependent manner.

Surface coordination and excellent anticorrosion performance of strontiumapatite nanocomposite

Xiu-Rui Liu,Min Miao,Jing-Yu Zhang,JIN-KU LIU,Xian-Mei Zhang,Xiao-Gang Wang 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.80 No.-

A mass-produced, simple and scalable self-heating-based method for the manufacture of surfacecoordination strontiumapatite (SP) nanocomposite with excellent corrosion resistance is proposed. Thereaction heat released from the formation of SP material increases the solubility of benzotriazole (BTA)which achieves reasonable distribution of system energy. The BTA isfirmly adhered on the SP by Sr Ncoordination bond, which acts as barrier impeding on the penetration of the corrosive medium. Scanelectron microscopy (SEM) and X-ray diffraction (XRD) were employed to characterize coatingmorphology and chemical composition. Meanwhile, electrochemical impedance spectroscopy (EIS) datashow that the resultant resistance of strontiumapatite/benzotriazole (SPB) nanocomposite coating was3.02 × 104V cm2, which was improved by 601.8% compared with SP material. The improvement ofcorrosion performance is attributed to the synergistic anticorrosion mechanism that includes theshielding effect, extension of charge transfer paths and formation of multiple passivationfilms. Themethod for organic and inorganic synergistic material provides ideas for the design and synthesis ofanticorrosive materials.

Catalytic topological insulator Bi₂Se₃ nanoparticles for <i>in</i> <i>vivo</i> protection against ionizing radiation

Zhang, Xiao-Dong,Jing, Yaqi,Song, Shasha,Yang, Jiang,Wang, Jun-Ying,Xue, Xuhui,Min, Yuho,Park, Gyeongbae,Shen, Xiu,Sun, Yuan-Ming,Jeong, Unyong Elsevier 2017 Nanomedicine Vol.13 No.5

<P><B>Abstract</B></P> <P>Bi<SUB>2</SUB>Se<SUB>3</SUB> nanoparticles (NPs) have attracted wide interests in biological and medical applications. Layer-like Bi<SUB>2</SUB>Se<SUB>3</SUB> with high active surface area is promising for free radical scavenging. Here, we extended the medical applications of Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs further to <I>in vivo</I> protection against ionizing radiation based on their superior antioxidant activities and electrocatalytic properties. It was found that Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs can significantly increase the surviving fraction of mice after exposure of high-energy radiation of gamma ray. Additionally, the Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs can help to recover radiation-lowered red blood cell counts, white blood cell counts and platelet levels. Further investigations revealed that Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs behaved as functional free radical scavengers and significantly decreased the level of methylenedioxyamphetamine. <I>In vivo</I> toxicity studies showed that Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs did not cause significant side effects in panels of blood chemistry, clinical biochemistry and pathology.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs can significantly increase the surviving fraction of mice up to 70% after Gamma radiation. </LI> <LI> Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs can help to recover radiation-lowered red blood cell counts, white blood cell counts and platelet levels. </LI> <LI> Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs behaved as functional free radical scavengers and significantly decreased the level of methylenedioxyamphetamine. </LI> </UL> </P> <P><B>Graphical Abstract</B></P> <P>Layer-like Bi<SUB>2</SUB>Se<SUB>3</SUB> with high active surface area can protect mice against ionizing radiation based on their superior antioxidant activities and electrocatalytic properties. Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs can significantly increase the surviving fraction of mice up to 70% after exposure of high-energy radiation of gamma ray. Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs behaved as functional free radical scavengers and significantly decreased the level of methylenedioxyamphetamine. <I>In vivo</I> toxicity studies showed that Bi<SUB>2</SUB>Se<SUB>3</SUB> NPs did not cause significant side effects in panels of blood chemistry, clinical biochemistry and pathology.</P> <P>[DISPLAY OMISSION]</P>

The Stabilization and 3D Visual Simulation of the Triple Inverted Pendulum based on CGA-PIDNN

Xiu-Ling Zhang,Hong-Min Fan,Jia-Yin Zang,Liang Zhao,Shuang Hao 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.4

Aiming at the triple inverted pendulum which is a strong coupling, multivariable, high-order and unsteady system, a design method of the controller based on PID neural network (PIDNN) optimized by cloud genetic algorithm (CGA) is proposed, this method is called CGA-PIDNN. CGA can be applied to learn and train the PIDNN connection weights. CGA can overcome the defect of the slow convergence rate and premature convergence for genetic algorithm (GA). PIDNN is a simple and normative network which is easy to be realized and has a good dynamic performance. The CGA-PIDNN control system of triple inverted pendulum is verified with MATLAB simulation test. The comparison results with the control effect of PIDNN control system optimized by standard GA (GA-PIDNN) are presented first. Then in LabVIEW environment, by using the combination of virtual reality technology and MATLAB, the three-dimensional (3D) animation simulation model of the triple inverted pendulum CGA-PIDNN control system is built. The simulation results indicate that CGA-PIDNN control method is effective, whose control effects are superior to those by GA-PIDNN control, it is believed that CGAPIDNN is effective and will become a promising candidate of control methods.

Expression of Tumor Necrosis Factor Receptor-associated Factor 6 in Lung Cancer Tissues

Zhang, Xiu-Ling,Dang, Yi-Wu,Li, Ping,Rong, Min-Hua,Hou, Xin-Xi,Luo, Dian-Zhong,Chen, Gang Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

Background: Tumor necrosis factor (TNF) receptor-associated factor 6 (TRAF6) has been reported to be associated with the development of various cancers. However, the role of TRAF6 in lung cancer remains unclear. Objective: To explore the expression and clinicopathological significance of TRAF6 protein in lung cancer tissues. Materials and Methods: Three hundred and sixty-five lung cancer samples and thirty normal lung tissues were constructed into 3 microarrays. The expression of TRAF6 protein was determined using immunohistochemistry (IHC). Furthermore, correlations between the expression of TRAF6 and clinicopathological parameters were investigated. Results: The expression of TRAF6 in total lung cancer tissues (365 cases), as well as in small cell lung cancer (SCLC, 26 cases) and non-small cell lung cancer (NSCLC, 339 cases) was significantly higher compared with that in normal lung tissues. The ROC curve showed that the area under curve of TRAF6 was 0.663 (95%CI 0.570~0.756) for lung cancer. The diagnostic sensitivity and specificity of TRAF6 were 52.6% and 80%, respectively. In addition, the expression of TRAF6 was correlated with clinical TNM stage, tumor size and lymph node metastasis in all lung cancers. Consistent correlations were also observed for NSCLCs. Conclusions: TRAF6 might be an oncogene and the expression of TRAF6 protein is related to the progression of lung cancer. Thus, TRAF6 might become a target for diagnosis and gene therapy for lung cancer patients.

Taenia saginata Infection Misdiagnosed as Acute Cholecystitis in a Tibetan Patient, in China

Xiu-Min Han,Xue-Yong Zhang,Ying-Na Jian,Qing-Shan Tian 대한기생충학열대의학회 2021 The Korean Journal of Parasitology Vol.59 No.3

Effects of Financial Development and Two-Way FDI on Industrial structure : Influence Mechanism and Empirical Test of Shandong

Meng, Xiu-hui,Zhang, Zhen-min 동중앙아시아경상학회 2015 한몽경상연구 Vol.26 No.3

In recent years, upgrading of industrial structure receives much concern in China. The paper analyses the influence mechanism of financial development and two-way FDI on industrial restructuring at first and then gives an empirical study using Cointegration Test, Vector Error Correction Model (VEC Model) and Impulse Response on rationalization and advancement of industrial structure, using data of Shandong province from 1991 to 2014. The results show that there are long-term equilibrium relationships between the variables and the rationalization and advancement of industrial structure. VEC Model shows that, in the short term, the effect of the factors on the upgrading of industrial structure in Shandong province is not significant. The impulse response analysis shows that the variables have negative impact on the industrial structure rationalization and positive impact on the industrial structure advancement.

Currencies Allocation of China's Foreign Exchange Reserves : Comprehensive Test Based on Three Models

Meng, Xiu-hui,Zhang, Zhen-min 동중앙아시아경상학회 2014 한몽경상연구 Vol.25 No.1

Given the scale of foreign exchange reserve, the key problem in its management is how to allocate the currency structure. Based on the portfolio theory and using quadratic programming model, this paper get the main currency weight of China's foreign exchange reserves at first and give a further analysis using Heller-Knight model and Dooley model. The conclusion is that the U.S. dollar, Japanese yen, euro and pound are the main reserve currencies, the U.S. dollar and Japanese yen are the dominant ones currently. China should give comprehensive analysis on various factors which affect reserve currency structure and adjust it timely. In recent years, China’s huge foreign exchange reserves (FX reserves) have aroused wide concern and the amount reached to $3.95 trillion as of 2014 March. At present China’s FX reserves are invested in U.S. treasuries and are facing great risk of depreciation due to the QE of America and the European debt crisis. So it’s a key problem of how to allocate the reserve currencies in China. Based on the portfolio theory, Heller-Knight model and Dooley model, combined with the increase in China's economic development and foreign exchange reserves, this paper demonstrates in details the currency selection and allocation of foreign exchange reserves.

Software Pipeline–Based Partitioning Method with Trade-Off between Workload Balance and Communication Optimization

Kai Huang,Min Yu,Xiaomeng Zhang,Rongjie Yan,Xiaolang Yan,Zhili Liu,Siwen Xiu 한국전자통신연구원 2015 ETRI Journal Vol.37 No.3

For a multiprocessor System-on-Chip (MPSoC) to achieve high performance via parallelism, we must consider how to partition a given application into different components and map the components onto multiple processors. In this paper, we propose a software pipeline–based partitioning method with cyclic dependent task management and communication optimization. During task partitioning, simultaneously considering computation load balance and communication optimization can cause interference, which leads to performance loss. To address this issue, we formulate their constraints and apply an integer linear programming approach to find an optimal partitioning result — one that requires a trade-off between these two factors. Experimental results on a reconfigurable MPSoC platform demonstrate the effectiveness of the proposed method, with 20% to 40% performance improvements compared to a traditional software pipeline–based partitioning method.

Transmembrane Protein 166 Expression in Esophageal Squamous Cell Carcinoma in Xinjiang, China

Sun, Wei,Ma, Xiu-Min,Bai, Jing-Ping,Zhang, Guo-Qing,Zhu, Yue-Jie,Ma, Hai-Mei,Guo, Hui,Chen, Ying-Yu,Ding, Jian-Bing Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.8

Objective: Transmembrane protein 166 (TMEM166) expression in esophageal squamous cell carcinoma (ESCC) and remote normal esophageal tissues was examined to assess any role in tumour biology. Methods: TMEM166 mRNA expression in 36 cases with ESCC (36 tumour samples, 36 remote normal esophageal tissue samples) was detected by RT-PCR. TMEM166 protein expression was analysed in paraffin-embedded tissue samples from the same cases by immunohistochemistry. Results: Semi-quantitative analysis showed TMEM166 mRNA expression in ESCCs to be significantly lower than in remote normal esophageal tissues ($0.759{\pm}0.713$ vs. $2.622{\pm}1.690$, P=0.014). TMEM166 protein expression was also significantly reduced (69.4% vs. 94.4%, P<0.01). Conclusion: TMEM166 mRNA and protein expression demonstrated significant reduction in ESCCs compared with remote esophageal tissues, albeit with no correlation with tumour size, differentiation, stage, and lymph node metastasis, suggesting a role in regulating autophagic and apoptotic processes in the ESCC.