ABSTRACT
Angiogenesis is a dynamic, multi-step process. It is known that about 70 diseases are related to angiogenesis. Both the experimental and the literature reports showed that Sophora flavescens inhibit angiogenesis significantly, but the material basis and the mechanism of action have not been clear. In this study, molecular docking was used for screening of anti-angiogenesis flavonoids from the roots of S. flavescens. One handred and twenty-six flavonoids selected from S. flavescens were screened in the docking ligand database with six targets(VEGF-a,TEK,KDR,Flt1,FGFR1 and FGFR2) as the receptors. In addition, the small-molecule approved drugs of targets from DrugBank database were set as a reference with minimum score of each target's approved drugs as threshold. The LibDock module in Discovery Studio 2.5 (DS2.5) software was applied to screen the compounds. As a result, 37 compounds were screened out that their scores were higher than the minimum score of approved drugs as well as being in the top of 10%. At last the mechanism of flavonoids anti-angiogenesis was preliminarily revealed, which provided a new method for the development of angiogenesis inhibitor drugs.
ABSTRACT
OBJECTIVE: To explore the association between malaria epidemic situation and some natural and social factors in high-incidence areas of Shandong Province, so as to provide evidences for malaria elimination in these areas. METHODS: Twenty towns of 10 counties (cities, districts,) in the high incidence areas of malaria in Shandong Province were selected as the study sites, and the residents in the study sites were investigated by questionnaires with one household as a unit, so as to understand the related natural and social factors. In addition, the malaria epidemic data in the study sites from 2006 to 2010 were collected, and the correlation between these factors and the epidemic situation of malaria was analyzed by Spearman rank correlation and multiple stepwise regression. RESULTS: The square root of malaria incidence rate (Y) was negatively related to the rate of households using insecticide (X3), and the rate of households using screen doors and windows (X4) (both P < 0.05), but was positively related to the rate of housing surrounding water environment and exposure ratio (X6) (both P < 0.05). The regression equation established was Y = 0.032X5 + 0.048X6-0.495, R2 = 0.973. CONCLUSIONS: Malaria incidence is obviously associated with some natural and social factors. The measures such as clearing the breeding place of mosquito, protecting the exposure population at nightfall, as well as using door-window screen and repellents correctly, can effectively control malaria.
