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Topology-driven trend analysis for drug discovery
Lv, Yanhua,Ding, Ying,Song, Min,Duan, Zhiguang Elsevier 2018 Journal of Informetrics Vol.12 No.3
<P><B>Abstract</B></P> <P>The primary goal of the present study is to discover new drug treatments by topology analysis of drug associations and their therapeutic group network. To this end, we collected 19,869 papers dated from 1946 to 2015 that are related to autism treatment from PubMed. We extracted 145 drugs based on MeSH terms and their synonyms (the total number is 6624) within the same ATC classification hierarchy and used them to find drug associations in the collected datasets. We introduced a new topology-driven method that incorporates various network analyses including co-word network, clique percolation, weak component, pathfinding-based analysis of therapeutic groups, and detection of important drug interaction within a clique. The present study showed that the in-depth analysis of the drug relationships extracted from the literature-based network sheds new light on drug discovery research. The results also suggested that certain drugs could be repurposed for autism treatment in the future. In particular, the results indicated that the discovered four drugs such as Tocilizumab, Tacrolimus, Prednisone, and Sulfisoxazole are worthy of further study in laboratory experiments with formal assessment of possible effects on symptoms, which may provide psychologists, physicians, and researchers with data-based scientific hypotheses in autism-drug discovery.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We propose topology analysis to identify new relationships among therapeutic groups of drugs. </LI> <LI> The proposed approach also helps discover new drug for autism treatment. </LI> <LI> The results suggest that certain drugs could be repurposed for autism treatment in the future. </LI> <LI> The present study sheds new light on drug discovery research. </LI> </UL> </P>
Yong Zhang,Lizhen Wang,Aiqin Zhang,Yanhua Song,Xiaofeng Li,Xingbing Wu,Peipei Du,Lv Yan 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.2
To improve the specific capacitance and energy density of electrochemical capacitor, nanostructured NiO was prepared by high temperature solid-state method as electrode material. The crystal structure and morphology of as-parepared NiO samples were investigated by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Cyclic voltammetry (CV) measurement was applied to investigate the specific capacitance of the NiO electrode. Furthermore,a novel mixed electrolyte consisting of NaOH, KOH, LiOH and Li_2CO_3 was prepared for the NiO capacitor,and the component and concentration of the four different electrolytes was examined by orthogonal test. The results showed that the NiO sample has cubic structure with nano-size particles, and the optimal composition of the electrolyte was: NaOH 2 mol L^(−1), KOH 3 mol L^(−1), LiOH 0.05 mol L^(−1), and Li_2CO_3 0.05 mol L^−1. At a scan rate of 10 mV s^(−1), the fabricated capacitor exhibits excellent electrochemical capacitive performance, while the specific capacitance and the energy density were 239 F g^(−1) and 85 Wh kg^(−1), which was higher than one-component electrolyte.
Wang Xianyao,Wang Huizhen,Lu Junhou,Feng Zhanhui,Liu Zhongshan,Song Hailiang,Wang Heng,Zhou Yanhua,Xu Jianwei 한국조직공학과 재생의학회 2020 조직공학과 재생의학 Vol.17 No.5
BACKGROUND: Mesenchymal stem cell (MSC)-based cell transplantation is an effective means of treating chronic liver injury, fibrosis and end-stage liver disease. However, extensive studies have found that only a small number of transplanted cells migrate to the site of injury or lesion, and repair efficacy is very limited. METHODS: Bone marrow-derived MSCs (BM-MSCs) were generated that overexpressed the erythropoietin (EPO) gene using a lentivirus. Cell Counting Kit-8 was used to detect the viability of BM-MSCs after overexpressing EPO. Cell migration and apoptosis were verified using Boyden chamber and flow cytometry, respectively. Finally, the anti-fibrosis efficacy of EPO-MSCs was evaluated in vivo using immunohistochemical analysis. RESULTS: EPO overexpression promoted cell viability and migration of BM-MSCs without inducing apoptosis, and EPO-MSC treatment significantly alleviated liver fibrosis in a carbon tetrachloride (CCl4) induced mouse liver fibrosis model. CONCLUSION: EPO-MSCs enhance anti-fibrotic efficacy, with higher cell viability and stronger migration ability compared with treatment with BM-MSCs only. These findings support improving the efficiency of MSCs transplantation as a potential therapeutic strategy for liver fibrosis.