Cinnamaldehyde Derivatives Inhibit Coxsackievirus B3-Induced Viral Myocarditis

( Xiao-qiang Li ),( Xiao-xiao Liu ),( Xue-ying Wang ),( Yan-hua Xie ),( Qian Yang ),( Xin-xin Liu ),( Yuan-yuan Ding ),( Wei Cao ),( Si-wang Wang ) 한국응용약물학회 2017 Biomolecules & Therapeutics(구 응용약물학회지) Vol.25 No.3

The chemical property of cinnamaldehyde is unstable in vivo, although early experiments have shown its obvious therapeutic effects on viral myocarditis (VMC). To overcome this problem, we used cinnamaldehyde as a leading compound to synthesize derivatives. Five derivatives of cinnamaldehyde were synthesized: 4-methylcinnamaldehyde (1), 4-chlorocinnamaldehyde (2), 4-methoxycinnamaldehyde (3), α-bromo-4-methylcinnamaldehyde (4), and α-bromo-4-chlorocinnamaldehyde (5). Neonatal rat cardiomyocytes and HeLa cells infected by coxsackievirus B3 (CVB3) were used to evaluate their antiviral and cytotoxic effects. In vivo BALB/c mice were infected with CVB3 for establishing VMC models. Among the derivatives, compound 4 and 5 inhibited the CVB3 in HeLa cells with the half-maximal inhibitory concentrations values of 11.38 ± 2.22 μM and 2.12 ± 0.37 μM, respectively. The 50% toxic concentrations of compound 4 and 5-treated cells were 39-fold and 87-fold higher than in the cinnamaldehyde group. Compound 4 and 5 effectively reduced the viral titers and cardiac pathological changes in a dose-dependent manner. In addition, compound 4 and 5 significantly inhibited the secretion, mRNA and protein expressions of inflammatory cytokines TNF-α, IL-1β and IL-6 in CVB3-infected cardiomyocytes, indicating that brominated cinnamaldehyde not only improved the anti-vital activities for VMC, but also had potent anti-inflammatory effects in cardiomyocytes induced by CVB3.

Cinnamaldehyde Derivatives Inhibit Coxsackievirus B3-Induced Viral Myocarditis

Li, Xiao-Qiang,Liu, Xiao-Xiao,Wang, Xue-Ying,Xie, Yan-Hua,Yang, Qian,Liu, Xin-Xin,Ding, Yuan-Yuan,Cao, Wei,Wang, Si-Wang The Korean Society of Applied Pharmacology 2017 Biomolecules & Therapeutics(구 응용약물학회지) Vol.25 No.3

The chemical property of cinnamaldehyde is unstable in vivo, although early experiments have shown its obvious therapeutic effects on viral myocarditis (VMC). To overcome this problem, we used cinnamaldehyde as a leading compound to synthesize derivatives. Five derivatives of cinnamaldehyde were synthesized: 4-methylcinnamaldehyde (1), 4-chlorocinnamaldehyde (2), 4-methoxycinnamaldehyde (3), ${\alpha}$-bromo-4-methylcinnamaldehyde (4), and ${\alpha}$-bromo-4-chlorocinnamaldehyde (5). Neonatal rat cardiomyocytes and HeLa cells infected by coxsackievirus B3 (CVB3) were used to evaluate their antiviral and cytotoxic effects. In vivo BALB/c mice were infected with CVB3 for establishing VMC models. Among the derivatives, compound 4 and 5 inhibited the CVB3 in HeLa cells with the half-maximal inhibitory concentrations values of $11.38{\pm}2.22{\mu}M$ and $2.12{\pm}0.37{\mu}M$, respectively. The 50% toxic concentrations of compound 4 and 5-treated cells were 39-fold and 87-fold higher than in the cinnamaldehyde group. Compound 4 and 5 effectively reduced the viral titers and cardiac pathological changes in a dose-dependent manner. In addition, compound 4 and 5 significantly inhibited the secretion, mRNA and protein expressions of inflammatory cytokines TNF-${\alpha}$, IL-$1{\beta}$ and IL-6 in CVB3-infected cardiomyocytes, indicating that brominated cinnamaldehyde not only improved the anti-vital activities for VMC, but also had potent anti-inflammatory effects in cardiomyocytes induced by CVB3.

8q24 rs4242382 Polymorphism is a Risk Factor for Prostate Cancer among Multi-Ethnic Populations: Evidence from Clinical Detection in China and a Meta-analysis

Zhao, Cheng-Xiao,Liu, Ming,Xu, Yong,Yang, Kuo,Wei, Dong,Shi, Xiao-Hong,Yang, Fan,Zhang, Yao-Guang,Wang, Xin,Liang, Si-Ying,Zhao, Fan,Zhang, Yu-Rong,Wang, Na-Na,Chen, Xin,Sun, Liang,Zhu, Xiao-Quan,Yuan Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19

Background: Evidence supporting an association between the 8q24 rs4242382-A polymorphism and prostate cancer (PCa) risk has been reported in North American and Europe populations, though data from Asian populations remain limited. We therefore investigated this association by clinical detection in China, and meta-analysis in Asian, Caucasian and African-American populations. Materials and Methods: Blood samples and clinical information were collected from ethnically Chinese men from Northern China with histologically-confirmed PCa (n=335) and from age-matched normal controls (n=347). The 8q24 (rs4242382) gene polymorphism was genotyped by polymerase chain reaction-high-resolution melting analysis. We initially analyzed the associations between the risk allele and PCa and clinical covariates. A meta-analysis was then performed using genotyping data from a total of 1,793 PCa cases and 1,864 controls from our study and previously published studies in American and European populations, to determine the association between PCa and risk genotype. Results: The incidence of the risk allele was higher in PCa cases than controls (0.222 vs 0.140, $P=7.3{\times}10^{-5}$), suggesting that the 8q24 rs4242382-A polymorphism was associated with PCa risk in Chinese men. The genotypes in subjects were in accordance with a dominant genetic model (ORadj=2.03, 95%CI: 1.42-2.91, $Padj=1.1{\times}10^{-4}$). Presence of the risk allele rs4242382-A at 8q24 was also associated with clinical covariates including age at diagnosis ${\geq}65$ years, prostate specific antigen >10 ng/ml, Gleason score <8, tumor stage and aggressive PCa, compared with the non-risk genotype ($P=4.6{\times}10^{-5}-3.0{\times}10^{-2}$). Meta-analysis confirmed the association between 8q24 rs4242382-A polymorphism and PCa risk (OR=1.62, 95%CI: 1.39-1.88, $P=1.0{\times}10^{-5}$) across Asian, Caucasian and African American populations. Conclusions: The replicated data suggest that the 8q24 rs4242382-A variation might be associated with increased PCa susceptibility in Asian, Caucasian and African American populations. These results imply that this polymorphism may be a useful risk biomarker for PCa in multi-ethnic populations.

Construction and Differential Screening of a cDNA Library Specific to Osmotic Stress of Haloxylon ammodendron Seedlings

( Xiao Cheng Jiang ),( Xin Hong Guo ),( Xiao Ling Pan ),( Song Quan Song ) 생화학분자생물학회 2004 BMB Reports Vol.37 No.5

A subtracted cDNA library specific to osmotic stress of Haloxylon ammodendron (Mey.) Bge seedlings was constructed by suppression subtractive hybridization (SSH) and T/A cloning. SSH was performed between two groups of H. ammodendron seedlings, one was cultivated in Hoagland (H) solution as a driver and the other group was treated with osmotic stress of the Hoagland solution by the addition of 400 mM mannitol (M), as a tester. The library consisted of about 400 recombinant clones, with the average size being of 500 bp, ranging from 300 bp to 1500 bp. Using a PCR-select differential screening kit, 100 recombinant clones were randomly chosen from the subtracted cDNA library and hybridized with forward,reverse subtracted and unsubtracted probes for two rounds. As a result, 21 positive clones specific to osmotic stress were obtained and some of them were verified by Northern blot analysis. The sequencing analysis of 6 positive clones and the following homology comparison to GenBank [blastx] non-redundant databases characterized that two sequences obtained in this experiment may contribute to novel drought-related genes.

Molecular cloning and characterization of two novel DREB genes encoding dehydration-responsive element binding proteins in halophyte Suaeda salsa

Xiao-Bo Sun,Hong-Xiang Ma,Xin-Ping Jia,Yu Chen,Xiao-Qing Ye 한국유전학회 2015 Genes & Genomics Vol.37 No.2

The dehydration-responsive element-binding(DREB) proteins play an important role in regulatingexpression of stress-inducible genes under abiotic stresses. In this study, two genes encoding putative DREB proteins,named SsDREBa and SsDREBb, were cloned from halophyteSuaeda salsa L. using RACE method. The deducedSsDREBa and SsDREBb proteins contain a typical AP2/ERF domain. Multiple sequence alignments and phylogeneticanalysis revealed that the two SsDREB genes of S. salsa were highly similar in AP2/ERF domains at thenucleotide and amino acid levels and belong to the A-6subgroup of the DREB transcription factor subfamily. Asubcellular localization assay showed that both SsDREBslocalized to the nucleus. Yeast one-hybrid experimentstestified that both proteins were able to specifically bind tothe DRE sequence and activate the expression of the downstreamHIS reporter gene in yeast. Quantitative real-timePCR analysis demonstrated that under normal conditions,the expression level of SsDREBa was the most high in theroots and no SsDREBa mRNAs were detected in the stems;SsDREBb expressed at relatively higher levels in the leavesthan in the roots and stems. The expression of SsDREa andSsDREBb genes in S. salsa roots and leaves was remarkablyinduced by high-salt and dehydration treatments, butnot by cold and ABA, and exhibited stronger induction inroots and leaves, respectively. These results indicate thatthe SsDREBa and SsDREBb are novel stress-responsivetranscription factors, which are involved in the drought andhigh-salt stress responses through ABA-independent pathwaysand could be used for production of stress-toleranttransgenic crops.

A Danger Theory Inspired Protection Approach for Hierarchical Wireless Sensor Networks

( Xin Xiao ),( Ruirui Zhang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5

With the application of wireless sensor networks in the fields of ecological observation, defense military, architecture and urban management etc., the security problem is becoming more and more serious. Characteristics and constraint conditions of wireless sensor networks such as computing power, storage space and battery have brought huge challenges to protection research. Inspired by the danger theory in biological immune system, this paper proposes an intrusion detection model for wireless sensor networks. The model abstracts expressions of antigens and antibodies in wireless sensor networks, defines meanings and functions of danger signals and danger areas, and expounds the process of intrusion detection based on the danger theory. The model realizes the distributed deployment, and there is no need to arrange an instance at each sensor node. In addition, sensor nodes trigger danger signals according to their own environmental information, and do not need to communicate with other nodes, which saves resources. When danger is perceived, the model acquires the global knowledge through node cooperation, and can perform more accurate real-time intrusion detection. In this paper, the performance of the model is analyzed including complexity and efficiency, and experimental results show that the model has good detection performance and reduces energy consumption.

RNA silencing-mediated resistance is related to biotic/abiotic stresses and cellular RdRp expression in transgenic tobacco plants

( Xiao Liang Wu ),( Wen Cui Hou ),( Mei Mei Wang ),( Xiao Ping Zhu ),( Fang Li ),( Jie Dao Zhang ),( Xin Zheng Li ),( Xing Qi Guo ) 생화학분자생물학회 2008 BMB Reports Vol.41 No.5

Weighted FP-Tree Mining Algorithms for Conversion Time Data Flow

Xiao-jun Chen,Jia Ke,Qian-qian Zhang,Xin-ping Song,Xiao-ming Jiang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.1

The data distribution in the data streams usually changes dynamically with time. Traditional mining algorithms based on transaction are difficult to establish the correlation between time characteristics and relationship features, thus making the results inaccurate. By analyzing the problems in the processing of time data stream, we put forward the concept of time gap degrees and design a mining algorithms based on weighted FP-Tree. We introduce the concept of FP-Tree node weights to transform the time data dynamically and excavate the data stream association rules. The experiments performed on the actual data set show that the algorithm can improve the recall and precision while consumes comparable computational time.

A Video Traffic Flow Detection System Based on Machine Vision

Xin-Xin Wang,Xiao-Ming Zhao,Yu Shen 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5

This study proposes a novel video traffic flow detection method based on machine vision technology. The threeframedifference method, which is one kind of a motion evaluation method, is used to establish initialbackground image, and then a statistical scoring strategy is chosen to update background image in real time. Finally, the background difference method is used for detecting the moving objects. Meanwhile, a simple buteffective shadow elimination method is introduced to improve the accuracy of the detection for moving objects. Furthermore, the study also proposes a vehicle matching and tracking strategy by combining characteristics,such as vehicle’s location information, color information and fractal dimension information. Experimentalresults show that this detection method could quickly and effectively detect various traffic flow parameters,laying a solid foundation for enhancing the degree of automation for traffic management.

A Study on the User Experience of Smart Speaker in China - Focused on Tmall Genie and Mi AI Speaker -

Xin-Ting Xiao,Seung-In Kim 한국디지털정책학회 2018 디지털융복합연구 Vol.16 No.10