Pathological Lesions and Inducible Nitric Oxide Synthase Expressions in the Liver of Mice Experimentally Infected with Clonorchis sinensis

Qing-Li Yang,Ji-Qing Shen,Yan Xue,Xiao-Bing Cheng,Zhi-Hua Jiang,Yi-Chao Yang,Ying-Dan Chen,Xiao-Nong Zhou 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.6

The nitric oxide (NO) formation and intrinsic nitrosation may be involved in the possible mechanisms of liver fluke-associated carcinogenesis. We still do not know much about the responses of inducible NO synthase (iNOS) induced by Clonorchis sinensis infection. This study was conducted to explore the pathological lesions and iNOS expressions in the liver of mice with different infection intensity levels of C. sinensis. Extensive periductal inflammatory cell infiltration, bile duct hyperplasia, and fibrosis were commonly observed during the infection. The different pathological responses in liver tissues strongly correlated with the infection intensity of C. sinensis. Massive acute spotty necrosis occurred in the liver parenchyma after a severe infection. The iNOS activity in liver tissues increased, and iNOS-expressing cells with morphological differences were observed after a moderate or severe infection. The iNOS-expressing cells in liver tissues had multiple origins.

LSTM Android Malicious Behavior Analysis Based on Feature Weighting

( Qing Yang ),( Xiaoliang Wang ),( Jing Zheng ),( Wenqi Ge ),( Ming Bai ),( Frank Jiang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6

With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.

Progress in Soybean Breeding Techniques in the Northeast of China

Qing Kai Yang 한국육종학회 1997 한국육종학회 학술발표회 발표요지 Vol.29 No.2

First records of two species of the genus Brachionycha H?ner (Lepidoptera: Noctuidae) in China

Qing-Yin YANG,Cheng-De LI,Hui-Lin HAN 한국곤충학회 2007 Entomological Research Vol.37 No.4

Two species of the genus Brachionycha Hbner -B. nubeculosa (Esper) and B. albicilia Sugi - are recorded for the first time from China. The adults and genital characteristics of the species are briefly redescribed with illustrations, and their distributions are given.

Design of potent, non-toxic anticancer peptides based on the structure of the antimicrobial peptide, temporin-1CEa

Qing-Zhu Yang,Che Wang,Lei Lang,Yang Zhou,He Wang,De-Jing Shang 대한약학회 2013 Archives of Pharmacal Research Vol.36 No.11

Recent advances in the search for novel anticanceragents have indicated that the positively chargedantimicrobial peptides have emerged as promising agentsoffering several advantages over the conventional anticancerdrugs. As a naturally occurring, cationic, a-helicalantimicrobial peptide, temproin-1CEa has been proved toexhibit a potent anticancer effect and a moderate hemolyticactivity. In order to reduce the hemolytic activity of temporin-1CEa and improve its anticancer potency towards arange of human breast cancer cells, in the present study, sixanalogs of temporin-1CEa were rationally designed andsynthesized. The amphipathicity levels and a-helicalstructural patterns of peptides were reserved, while theircationic property and hydrophobicity were changed. Theresults of MTT and hemolysis assay indicated that theanalog peptides displayed an improved anticancer activityand showed an overall optimized therapeutic index. Thehydrophobicity of peptides was positively correlated withtheir hemolytic and antitumor activities. Moreover, the datasuggest a strategy of increasing the cationicity whilemaintaining the moderate hydrophobicity of naturallyoccurring amphipathic a-helical peptides to generate analogswith improved cytotoxicity against tumor cells butdecreased activity against non-neoplastic cells such ashuman erythrocytes. This work highlights the potential forrational design and synthesis of improved antimicrobialpeptides that have the capability to be used therapeuticallyfor treatment of cancers.

Characterization of tyrosinase inhibitory constituents from the aerial parts of <i>Humulus japonicus</i> using LC-MS/MS coupled online assay

Yang, Hyo Hee,Oh, Kyung-Eon,Jo, Yang Hee,Ahn, Jong Hoon,Liu, Qing,Turk, Ayman,Jang, Jae Young,Hwang, Bang Yeon,Lee, Ki Yong,Lee, Mi Kyeong Pergamon 2018 Bioorganic & medicinal chemistry Vol.26 No.2

<P><B>Abstract</B></P> <P>In the screening of natural products for the development as cosmetic ingredients, the EtOAc-soluble fraction of <I>Humulus japonicus</I> showed tyrosinase inhibitory activity. HPLC-MS/MS coupled online tyrosinase assay of EtOAc-soluble fraction of <I>H. japonicus</I> characterized the twenty-eight constituents including two unknown ones and their tyrosinase inhibitory activity. Fractionation of <I>H. japonicus</I> using various chromatographic techniques yielded thirty-eight compounds. The chemical structures of isolated compounds were identified by spectroscopic analysis. As characterized by HPLC-MS/MS analysis, we isolated twenty-four predicted compounds and further identified two unknown ones, named humulusides A (<B>1</B>) and B (<B>2</B>). Additional ten compounds were also identified by purification. Tyrosinase inhibitory activity of isolated compounds were evaluated, which was closely correlated with the results from HPLC-MS/MS coupled online tyrosinase assay. Consistent with predicted data, two major compounds, <I>trans</I>-<I>N</I>-coumaroyltyramine (<B>14</B>) and <I>cis</I>-<I>N</I>-coumaroyltyramine (<B>15</B>) showed tyrosinase inhibition with IC<SUB>50</SUB> values of 40.6 and 36.4 μM. Taken together, <I>H. japonicus</I> is suggested as whitening ingredient in cosmetic products. In addition, HPLC-MS/MS coupled tyrosinase assay is powerful tool for predicting active compounds with short time and limited amounts, although identification of new compounds and verification of predicted data are also needs to be demonstrated by further experiment.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The aerial parts of <I>Humulus japonicus</I> showed tyrosinase inhibitory activity. </LI> <LI> HPLC-MS/MS coupled online tyrosinase assay of <I>H. japonicus</I> was performed<I>.</I> </LI> <LI> Twenty-eight constituents and their tyrosinase inhibitory activity were predicted. </LI> <LI> Fractionation of <I>H. japonicus</I> yielded thirty-eight compounds including two new compounds. </LI> <LI> Constituents and tyrosinase inhibition were well matched with HPLC-MS/MS coupled assay. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Cellular and ultrastructural changes in the seedling roots of upland rice (Oryza sativa) under the stress of two allelochemicals from Ageratina adenophora

Yang, Guo-Qing,Wan, Fang-Hao,Guo, Jian-Ying,Liu, Wan-Xue The Korean Society of Weed Science and The Turfgra 2011 Weed Biology and Management Vol.11 No.3

Two sesquiterpene-derivative compounds, 4,7-dimethyl-1-(propan-2-ylidene)-1,4,4a,8atetrahydronaphthalene-2,6(1H, 7H)-dione (DTD) and 6-hydroxy-5-isopropyl-3,8-dimethyl-4a,5,6,7,8,8a-hexahydronaphthalen-2(1H)-one (HHO), are the major putative allelochemicals of the aqueous leachates of Ageratina adenophora.A laboratory experiment was conducted, using the hydroponic method, to evaluate the cellular and ultrastructural changes in the seedling roots of upland rice under the stress of DTD and HHO. The subsequent changes were observed in the treated upland rice roots in comparison with their controls. The scanning electron microscopy results showed that the DTD-treated root tip cells turned into an irregular arrangement and shape and that most of them were wizened, with a poor cytoplasm. In the HHO treatment, the root tips had many irregularly shaped cells, with a greater number of sloughing cells, as well as short, wide cells that resulted in spherical and wider, but shorter, roots. At the ultrastructural level, DTD and HHO induced irregularly shaped and lobed nuclei, increased cytoplasmic vacuolation, reduced ribosome density and dictyosomes, and a reduced number of mitochondria in the cells, which indicated limited protein transportation and a reduced capability to export substances for cell development and growth in the upland rice seedling roots. The overall effect of HHO on the upland rice seedlings was more pronounced than that of DTD.

Diabetes Mellitus Increases the Risk of Bladder Cancer: An Updated Meta-analysis

Yang, Xiao-Qing,Xu, Chen,Sun, Yan,Han, Rui-Fa Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.4

Purpose: Studies have indicated that diabetes mellitus (DM) is a risk factor for bladder cancer; however, not all evidence supports this conclusion. The aim of this meta-analysis was to collate and evaluate all primary observational studies investigating the risk of bladder cancer associated with DM. Methods: The PubMed and Google Scholar databases were searched to identify studies that estimated the association of DM and bladder cancer. Summary effect estimates were derived using a random-effects meta-analysis model. Results: A total of 23 studies (8 case-control studies, 15 cohort studies) including 643,683 DM and 4,819,656 non-DM cases were identified. Analysis of all studies showed that DM was associated with an increased risk of bladder cancer compared with non-DM overall (OR=1.68, 95% CI 1.32-2.13). Analysis of subgroups demonstrated this to be the case in both case-control studies (OR=1.59, 95% CI 1.28-1.97, $I^2$=58%) and cohort studies (RR=1.70, 95% CI 1.23-2.33, $I^2$=96%). There was no gender difference in DM-associated bladder cancer risk. Bladder cancer risk was increased in Asia and the North America region, but not in Europe. Furthermore, DM-associated bladder cancer risk was obviously higher in Asia than North America and Europe or in those with Caucasian ethnicity. With extension of follow-up time, the bladder cancer risk was not increased for the patients with DM. Conclusions: This meta-analysis provided further evidence supporting theDM association with a significantly higher risk of bladder cancer obtained from observational studies.

Estimation of extreme wind pressure coefficient in a zone by multivariate extreme value theory

Qing-shan Yang,Danyu Li,Yi Hui,Siu-Seong Law 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.31 No.3

Knowledge on the design value of extreme wind pressure coefficients (EWPC) of a specific zone of buildings is essential for the wind-resistant capacity of claddings. This paper presents a method to estimate the representative EWPC introducing the multivariate extreme value model. The spatial correlations of the extreme wind pressures at different locations can be consider through the multivariate extreme value. The moving average method is also adopted in this method, so that the measured point pressure can be converted to wind pressure of an area. The proposed method is applied to wind tunnel test results of a large flat roof building. Comparison with existing methods shows that it can give a good estimation for all target zones with different sizes.

Simultaneous Determination of Glutamate, Glycine, and Alanine in Human Plasma Using Precolumn Derivatization with 6-Aminoquinolyl- N-hydroxysuccinimidyl Carbamate and High-Performance Liquid Chromatography

Qing Zhong Li,Qing Xian Huang,Shu Cui Li,Mei Zi Yang,Bin Rao 대한생리학회-대한약리학회 2012 The Korean Journal of Physiology & Pharmacology Vol.15 No.5

A simple, sensitive and reproducible high-performance liquid chromatography (HPLC) method has been validated for determining concentrations of glutamate, glycine, and alanine in human plasma. Proteins in plasma were precipitated with perchloric acid, followed by derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC). Simultaneous analysis of glutamate, glycine, and alanine is achieved using reversed-phase HPLC conditions and ultraviolet detection. Excellent linearity was observed for these three amino acids over their concentration ranges with correlation coefficients (r)>0.999. The intra- and inter-day precision were below 10%. This method utilizes quality control samples and demonstrates excellent plasma recovery and accuracy. The developed method has been successfully applied to measure plasma glutamate, glycine, and alanine in twenty volunteers.