Correlation of NUF2 Overexpression with Poorer Patient Survival in Multiple Cancers

Xiaodan Jiang,Yan Jiang,Senbiao Luo,Karthik Sekar,Clara Kai Ting Koh,Amudha Deivasigamani,Qingzhe Dong,Niankai Zhang,Shenling Li,Fengyun Hao,Brian Kim Poh Goh,London Lucien Ooi,Yu Wang,Kam Man Hui 대한암학회 2021 Cancer Research and Treatment Vol.53 No.4

Purpose NUF2 has been implicated in multiple cancers recently, suggesting NUF2 may play a role in the common tumorigenesis process. In this study, we aim to perform comprehensive meta-analysis of NUF2 expression in the cancer types included in the Cancer Genome Atlas (TCGA). Materials and Methods RNA-sequencing data in 31 cancer types in the TCGA data and 11 independent datasets were used to examine NUF2 expression. Silencing NUF2 using targeting shRNAs in hepatocellular carcinoma (HCC) cell lines was used to evaluate NUF2’s role in HCC in vitro and in vivo. Results NUF2 up-regulation is significantly observed in 23 out of the 31 cancer types in the TCGA datasets and validated in 13 major cancer types using 11 independent datasets. NUF2 overexpression was clinically important as high NUF2 was significantly associated with tumor stages in eight different cancers. High NUF2 was also associated with significantly poorer patient overall survival and disease-free survival in eight and six cancers, respectively. We proceeded to validate NUF2 overexpression and its negative association with overall survival at the protein level in an independent cohort of 40 HCC patients. Compared to the non-targeting controls, NUF2 knockdown cells showed significantly reduced ability to grow, migrate into a scratch wound and invade the 8 μm porous membrane in vitro. Moreover, NUF2 knockdown cells also formed significantly smaller tumors than control cells in mouse xenograft assays in vivo. Conclusion NUF2 up-regulation is a common feature of many cancers. The prognostic potential and functional impact of NUF2 up-regulation warrant further studies.

Optimization of LEACH Protocol and Environmental Monitor System Design based on WSN

Xiajun Ding,Xiaodan Jiang,Lu zhang,Shuangxia Han 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.2

Application of Data Fusion Technology Based on Weight Improved Particle Swarm Optimization Neural Network Algorithm in Wireless Sensor Networks

Xiajun Ding,Hongbo Bi,Xiaodan Jiang,Lu zhang 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.3

With the development of sensor technology, network technology, embedded control technology and wireless communication technology, the application of wireless sensor networks (WSN) has become more and more widely. Wireless sensor networks have been named the most influential and important technology of the world in twenty-first Century. In wireless sensor networks, data fusion is an important research branch. In this paper, a data prediction model of wireless sensor network based on weight improved particle swarm optimization neural network algorithm is proposed. In view of the deficiency of the traditional BP neural network model, this paper combines with the characteristics of the data prediction model, and the BP neural network model is improved and integrated. After that, we train the neural network's sample set, and add the momentum item to correct the weight, so that the neural network can be predicted more quickly and accurately. The main idea of this paper is to predict the future data based on the historical data which are collected by sensor nodes, so as to achieve the purpose of reducing the amount of data transmission in the network and saving the energy of nodes. Finally, the experimental results show that the improved particle swarm optimization algorithm based on weight improved particle swarm optimization neural network algorithm has higher accuracy than the multiple regression method and the grey prediction method. In addition, the method can be used to effectively save energy in wireless sensor data transmission.

Correlations of Four Genetic Single Nucleotide Polymorphisms in Brain-Derived Neurotrophic Factor with Posttraumatic Stress Disorder

JunCheng Guo,YiJun Yang,Min Guo,XiaoDan Wang,Yang Juan,YunSuo Gao,LinQiu Fu,XiangLing Jiang,LinMei Fu,Tao Huang 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.4

Objective-To investigate the correlations of four genetic single nucleotide polymorphisms (SNPs) of brain-derived neurotrophic factor (BDNF) with posttraumatic stress disorder (PTSD). Methods-A total of 300 patients with sporadic PTSD and 150 healthy subjects (the control group) were selected according to the diagnostic criteria of PTSD (DSM-IV), and the genotypes of the BDNF SNPs G-712A, C270T, rs6265, and rs7103411 were detected by polymerase chain reaction and direct DNA sequencing to determine intergroup differences in the genotypes and allele frequencies; the pvalues were corrected with the permutation test. Results-The genotypes and allele frequencies of the SNPs G-712A, rs6265, and rs7103411 of BDNF showed no significant intergroup differences (p>0.05). However, the genotype and allele frequencies of C270T showed significant differences between the PTSD group and the control group (p<0.05). Conclusion-The SNP C270T of BDNF may be associated with PTSD. Individuals carrying the polymorphic T allele of C270T may be more likely to suffer from PTSD.

Ginsenoside Rg3 ameliorates myocardial glucose metabolism and insulin resistance via activating the AMPK signaling pathway

Jingyu Ni,Zhihao Liu,Miaomiao Jiang,Lan Li,Jie Deng,Xiaodan Wang,Jing Su,Yan Zhu,Feng He,Jingyuan Mao,Xiumei Gao,Guanwei Fan 고려인삼학회 2022 Journal of Ginseng Research Vol.46 No.2

Background: Ginsenoside Rg3 is one of the main active ingredients in ginseng. Here, we aimed to confirm its protective effect on the heart function in transverse aortic coarctation (TAC)-induced heart failure mice and explore the potential molecular mechanisms involved. Methods: The effects of ginsenoside Rg3 on heart and mitochondrial function were investigated by treating TAC-induced heart failure in mice. The mechanism of ginsenoside Rg3 for improving heart and mitochondrial function in mice with heart failure was predicted through integrative analysis of the proteome and plasma metabolome. Glucose uptake and myocardial insulin sensitivity were evaluated using micro-positron emission tomography. The effect of ginsenoside Rg3 on myocardial insulin sensitivity was clarified by combining in vivo animal experiments and in vitro cell experiments. Results: Treatment of TAC-induced mouse models with ginsenoside Rg3 significantly improved heart function and protected mitochondrial structure and function. Fusion of metabolomics, proteomics, and targeted metabolomics data showed that Rg3 regulated the glycolysis process, and Rg3 not only regulated glucose uptake but also improve myocardial insulin resistance. The molecular mechanism of ginsenoside Rg3 regulation of glucose metabolism was determined by exploring the interaction pathways of AMPK, insulin resistance, and glucose metabolism. The effect of ginsenoside Rg3 on the promotion of glucose uptake in IR-H9c2 cells by AMPK activation was dependent on the insulin signaling pathway. Conclusions: Ginsenoside Rg3 modulates glucose metabolism and significantly ameliorates insulin resistance through activation of the AMPK pathway.

Effects of ultrasonic treatment on the gel properties of microbial transglutaminase crosslinked soy, whey and soy–whey proteins

Qiang Cui,Xibo Wang,Guorong Wang,Rui Li,Xiaodan Wang,Shuang Chen,Jingnan Liu,Lianzhou Jiang 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.5

This paper studied the influences of diverse ultrasonic power treatments on the physico-chemical properties of soy–whey mixed protein induced by microbial transglutaminase. Two groups of 15% (m/v) of protein solution-sole protein (as control group) and mixed protein were prepared and processed under different ultrasonic powers for 30 min. After ultrasonic power treatments, gel properties were significantly increased: under 300 W, the gel hardness of mixed protein reached a maximum of 998.9 g, with its water binding capacity scoring a maximum of 87%. According to the analysis of fluorescence emission spectrum, the fluorescence intensity and maximum absorption peak had changed, for different ultrasonic power treatments had exposed more groups. The Fourier Transform Infrared Spectroscopy also suggested that ultrasonic power treatments could change the secondary structure of gel samples. The scanning electron microscope demonstrated that the network structure of mixed protein gel displayed more regular and uniform after ultrasonic treatments.