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        Novel artesunate-metformin conjugate inhibits bladder cancer cell growth associated with Clusterin/SREBP1/FASN signaling pathway

        Lin Peiyu,Yang Xiyue,Wang Linghui,Zou Xin,Mu Lingli,Xu Cangcang,Yang Xiaoping 대한약리학회 2024 The Korean Journal of Physiology & Pharmacology Vol.28 No.3

        Bladder cancer remains the 10th most common cancer worldwide. In recent years, metformin has been found to have potential anti-bladder cancer activity while high concentration of IC50 at millimolar level is needed, which could not be reached by regular oral administration route. Thus, higher efficient agent is urgently demanded for clinically treating bladder cancer. Here, by conjugating artesunate to metformin, a novel artesunate-metformin dimer triazine derivative AM2 was designed and synthesized. The inhibitory effect of AM2 on bladder cancer cell line T24 and the mechanism underlying was determined. Anti-tumor activity of AM2 was assessed by MTT, cloning formation and wound healing assays. Decreasing effect of AM2 on lipogenesis was determined by oil red O staining. The protein expressions of Clusterin, SREBP1 and FASN in T24 cells were evaluated by Western blotting. The results show that AM2 significantly inhibited cell proliferation and migration at micromolar level, much higher than parental metformin. AM2 reduced lipogenesis and down-regulated the expressions of Clusterin, SREBP1 and FASN. These results suggest that AM2 inhibits the growth of bladder cancer cells T24 by inhibiting cellular lipogenesis associated with the Clusterin/SREBP1/FASN signaling pathway.

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        Bioprocess Production of Sea Cucumber Rice Wine and Characterization of Functional Components and Antioxidant Activities

        Shuai He,Lin Wang,Hao Dong,Pei Liu,Peiyu Shi,Xuemin Li,Xingchen Ren,Ning Lv,Yanan Liu,Changhu Xue,Hong Lin,Xiangzhao Mao 한국식품과학회 2014 Food Science and Biotechnology Vol.23 No.3

        A new production bioprocess for sea cucumberrice wine (SCRW) was established. The traditional productiontechnology of Chinese rice wine was combined with additionof sea cucumber hydrosylates. The optimal enzymaticconditions of sea cucumber and the fermentation process ofSCRW were determined. The weight of sea cucumberenzymatic hydrolysates was 2.5% of millet while cookingthe millet. SCRW contained abundant free amino acids (30total at 1,681.216 mg/L), oligosaccharides (4 total at10,999.380 mg/L), total phenols (658.850 mg/L), andmineral elements (9 total at 1,911.353 mg/kg), and anantioxidant activity, all of which were higher than forcontrol rice wine (CRW). Galactosamine and glucuronicacid, both sea cucumber polysaccharides, were present inSCRW, but not in CRW.

      • An Improved Kernel Clustering Algorithm for Mixed-Type Data in Network Forensic

        Min Ren,Peiyu Liu,Zhihao Wang,Lin 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.1

        Clustering algorithm is a common analysis technology for network forensics, which, lacking of any prior knowledge, can effectively find out the invasions by analyzing the collected real-time communication data flowing through the network. This paper proposed an improved dynamic kernel clustering algorithm for mixed numeric and categorical network communication data. First, centroid prototype based on the mean and distribution centroid was put forward to represent the cluster center. Then by using Gaussian kernel function, the paper introduced a new dissimilarity measure between the data object and the centroid prototype in combination with the significance of different categorical values. On this basis, the objective function was defined, which took into account both the compact degree in a cluster and the discrete degree among the clusters. After that an improved kernel clustering algorithm was designed. In the process of clustering, centroid prototype and the value of the clustering parameter dynamically updated for a better description of the characteristics of clusters’ change. Finally, in order to verify the feasibility and effectiveness of the algorithm, the paper further applied it to network forensics, and the experimental results showed that the method could mine the intrusion behavior more accurately.

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