Exploring the Key Genes and Pathways of Osteoarthritis in Knee Cartilage in a Rat Model Using Gene Expression Profiling

Yi-Ming Ren,Xin Zhao,Tao Yang,Yuan-Hui Duan,Yun-Bo Sun,Wen-Jun Zhao,Meng-Qiang Tian 연세대학교의과대학 2018 Yonsei medical journal Vol.59 No.6

Purpose: To compare differentially expressed genes (DEGs) mediating osteoarthritis (OA) in knee cartilage and in normal kneecartilage in a rat model of OA and to identify their impact on molecular pathways associated with OA. Materials and Methods: A gene expression profile was downloaded from the Gene Expression Omnibus database. Analysis ofDEGs was carried out using GEO2R. Enrichment analyses were performed on the Gene Ontology (GO) and Kyoto Encyclopedia ofGenes and Genomes pathway using the Search Tool for the Retrieval of Interacting Genes database (http://www.string-db.org/). Subsequently, the regulatory interaction network of OA-associated genes was visualized using Cytoscape software (version 3.4.0;www.cytoscape.org). Results: In the gene expression profile GSE103416, a total of 99 DEGs were identified. Among them, 76 DEGs (76.77%) were overexpressed,and the remaining 23 DEGs (23.23%) were underexpressed. GO and pathway enrichment analyses of target geneswere performed. Using gene-gene interaction network analysis, relevant core genes, including MET, UBB, GNAI3, and GNA13,were shown to hold a potential relationship with the development of OA in cartilage. Using quantitative real-time PCR, the Gna13/cGMP-PKG signaling pathway was identified as a potential research target for therapy and for further understanding the developmentof OA. Conclusion: The results of the present study provide a comprehensive understanding of the roles of DEGs in knee cartilage in relationto the development of OA.

The Beneficial Effects of a Polysaccharide from Moringa oleifera Leaf on Gut Microecology in Mice

Fang Wang,Yi-Fan Bao,Jia-Jun Si,Yu Duan,Ze-Bin Weng,Xin-Chun Shen 한국식품영양과학회 2019 Journal of medicinal food Vol.22 No.9

Moringa oleifera is a natural plant with high nutritional and pharmacological value. Leaves of M. oleifera contain a variety of active substances. In our previous research, we had obtained a polysaccharide separated from M. oleifera leaf, namely MOs-2-a (1.35 × 104 Da). In this study, this polysaccharide was administrated daily to 6 week-old ICR mice for 4 weeks. Then, the body weight, immunity, intestinal digestion, and intestinal microenvironment of Institute of Cancer Research (ICR) mice were investigated. After 4 weeks of feeding intervention with the polysaccharide, the immune and intestinal digestive ability of the ICR mice were significant as shown by the organ index, digestive enzymes, and reduction of serum tumor necrosis factor-alpha and diamine oxidase levels. The polysaccharide could regulate the microbial composition of the intestinal tract in mice by increasing the bacteria that have been reported for antiobesity effects, short chain fatty acid production, and lactic acid production. These findings indicate that the polysaccharide of M. oleifera leaf might be a promising prebiotic that exhibits health promotion effects.

Hand Gesture Segmentation Method Based on YCbCr Color Space and K-Means Clustering

Zhang Qiu-yu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang,Lv Lu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5

Aiming at the problems that current skin-color detection segmentation technologies have unsatisfied segmentation results under conditions of complex illumination or backgrounds, we present a new method based on YCbCr color space and K-means clustering algorithm for segmentation hand gesture. Firstly, image in RGB color space is converted to YCbCr color space; and then YCbCr color space of image is divided into luminance Y and chrominance Cb and Cr. Lastly, the binary image is achieved by clustering values of chrominance using k-means clustering algorithm, and hand gesture segmentation is completed by conducting morphological process of binary image obtained. The experimental results illustrate that the proposed method can segment hand gestures from complex backgrounds and obtain segmentation results. The phenomena of similar skin color interference and skin color overlapping are solved with this method effectively. In addition, it is robust to illumination condition.

The Antiobesity Effects and Potential Mechanisms of Theaflavins

Jinghua Peng,Jing Hu,Yi Fang,Jun Wang,Yu Cao,Wenrui Liu,Lianxiang Duan 한국식품영양과학회 2024 Journal of medicinal food Vol.27 No.1

Theaflavins are the characteristic polyphenols in black tea which can be enzymatically synthesized. In thisreview, the effects and molecular mechanisms of theaflavins on obesity and its comorbidities, including dyslipidemia, insulinresistance, hepatic steatosis, and atherosclerosis, were summarized. Theaflavins ameliorate obesity potentially via reducingfood intake, inhibiting pancreatic lipase to reduce lipid absorption, activating the adenosine monophosphate-activated proteinkinase (AMPK), and regulating the gut microbiota. As to the comorbidities, theaflavins ameliorate hypercholesterolemia byinhibiting micelle formation to reduce cholesterol absorption. Theaflavins improve insulin sensitivity by increasing thesignaling of protein kinase B, eliminating glucose toxicity, and inhibiting inflammation. Theaflavins ameliorate hepaticsteatosis via activating AMPK. Theaflavins reduce atherosclerosis by upregulating nuclear factor erythropoietin-2-relatedfactor 2 signaling and inhibiting plasminogen activator inhibitor 1. In randomized controlled trails, black tea extractscontaining theaflavins reduced body weight in overweight people and improved glucose tolerance in healthy adults. Theamelioration on the hyperlipidemia and the prevention of coronary artery disease by black tea extracts were supportedby meta-analysis.

Dynamic Hand Gesture Segmentation Method Based on Improved Kalman Filter and Weighted Skin-Color Model

Zhang Qiu-yu,Lu Jun-chi,Wei Hui-yi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6

In order to improve the problems of segmentation accuracy and real-time existing in dynamic hand gesture under complex backgrounds, this paper presents a kind of dynamic hand gesture segmentation method based on improved Kalman filter and weighted skin-color model. Firstly, improved Kalman filter is utilized to process hand gesture image of hand gesture video sequences and get rough hand gesture results. Secondly, weighted skin-color model is applied to process rough results of hand gesture segmentation and segment hand gesture. Finally, morphological method is utilized to deal with gesture segmentation result, getting rid of the holes in the hand gesture’s binary image to realize the segmentation of dynamic hand gesture. Experiments show that the proposed method can segment hand gesture from dynamic hand gesture video sequences with complex backgrounds effectively. And the accuracy of hand gesture segmentation is high.

A Dynamic Gesture Trajectory Recognition Based on Key Frame Extraction and HMM

Zhang Qiu-yu,Lv Lu,Zhang Mo-yi,Duan Hong-xiang,Lu Jun-chi 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6

Aiming at changing high computational complexity, underdeveloped real time, low recognition rate of dynamic gesture recognition algorithms, this paper present a real-time dynamic gesture trajectory recognition method based on key frame extraction and HMM. Key frames are selected without keeping track of all the details of one dynamic gesture, which is based on difference degree between frames. The trajectory data stream, sorted by the time-warping algorithm, is used to construct the Hidden Markov Method model of dynamic gesture. Finally, optimal transition probabilities are employed to implement dynamic gesture recognition. The result of this experiment implies that this method has high robustness and real time. The average recognition rate of dynamic gesture (0~9) is up to 87.67%, and average time efficiency is 0.46s.

Dynamic Hand Gesture Trajectory Recognition Based on Block Feature and Skin-Color Clustering

Zhang Qiu-yu,Lv Lu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.12

In recent years, dynamic hand gesture recognition has been a research hotspot of human-computer interaction. Since most existing algorithms contain problems with high computational complexity, poor real-time performance and low recognition rate, which cannot satisfy the need of many practical applications. Moreover, key frames obtained by inter-frame difference degree algorithm contain less information, which leads to less identified species and lower recognition rate. To solve these problems, we present a dynamic hand gesture trajectory recognition method based on the theory of block feature to extract key frames and the skin-color clustering’s hand gesture segmentation. Firstly, this method extracts block feature of degree of difference between frames in hand gesture sequence to select key frames accurately. Secondly, the method based on skin-color clustering is applied to obtain the area of hand gesture after segmenting hand gestures from images. Finally, hidden Markov model (HMM), in which the angle data of hand gesture trajectories are input, is used for modeling and identifying dynamic hand gestures. Experimental results show that the method of key-frame extraction is used to obtain information of dynamic hand gestures accurately, which would improve the recognition rate of dynamic hand gesture recognition and, at the same time, can guarantee the real-time of hand gesture recognition system. The average recognition rate is up to 86.67%, and the average time efficiency is 0.39s.

Helicobacter pylori Chaperone-Like Protein CagT Plays an Essential Role in the Translocation of CagA into Host Cells

( Ding Hong Lei ),( Hao Zeng ),( Lin Ping Huang ),( Yan Dong Dong ),( Yi Jun Duan ),( Xu Hu Mao ),( Gang Guo ),( Quan Ming Zou ) 한국미생물 · 생명공학회 2012 Journal of microbiology and biotechnology Vol.22 No.10

Most of the Helicobacter pylori strains containing the cag pathogenicity island (PAI) have been associated with more severe gastric disease in infected humans. The cag PAI is composed of 27 proteins, and some of the components are required for CagA translocation into host cells as well as induction of proinflammatory cytokines, such as interleukin-8 (IL-8); however, the exact function of most of the components remains unknown or poorly characterized. In this study, we demonstrated that CagT (HP0532), which is an essential structural component of the cag PAI apparatus, plays an important role in the translocation of CagA into host epithelial cells. In addition to being located on the bacterial surface, CagT is also partially localized in the inner membrane, where it acts as a chaperone-like protein and promotes CagA translocation. However, CagT secretion was not detected by immunoprecipitation analysis of cell culture supernatants. Meanwhile, CagT was related to the introduction of IL-8 of the host cell. These results suggest that CagT is expressed on both the inner and outer bacterial membranes, where it serves as a unique type IV secretion system component that is involved in CagA secretion and cag PAI apparatus assembly.