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| 1 | Hypoxia inducible factor-1alpha mediates protection of DL-3-n-butylphthalide in brain microvascular endothelial cells against oxygen glucose deprivation-induced injury显示文摘Studies have demonstrated that DL-3-n-butylphthalide can significantly alleviate oxygen glucose deprivation-induced injury of human umbilical vein endothelial cells at least partly associated with its enhancement on oxygen glucose deprivation-induced hypoxia inducible factor-1α expression.In this study,we hypothesized that DL-3-n-butylphthalide can protect against oxygen glucose deprivation-induced injury of newborn rat brain microvascular endothelial cells by means of upregulating hypoxia inducible factor-1α expression.MTT assay and Hoechst staining results showed that DL-3-n-butylphthalide protected brain microvascular endothelial cells against oxygen glucose deprivation-induced injury in a dose-dependent manner.Western blot and immunofluorescent staining results further confirmed that the protective effect was related to upregulation of hypoxia inducible factor-1α.Real-time RT-PCR reaction results showed that DL-3-n-butylphthalide reduced apoptosis by inhibiting downregulation of pro-apoptotic gene caspase-3 mRNA expression and upregulation of apoptosis-executive protease bcl-2 mRNA expression;however,DL-3-n-butylphthalide had no protective effects on brain microvascular endothelial cells after knockdown of hypoxia inducible factor-1α by small interfering RNA.These findings suggest that DL-3-n-butylphthalide can protect brain microvascular endothelial cells against oxygen glucose deprivation-induced injury by upregulating bcl-2 expression and downregulating caspase-3 expression though hypoxia inducible factor-1α pathway. | Weihong Yang Ling Li Ruxun Huang Zhong Pei Songjie Liao Jinsheng Zeng | 2012 | Neural Regeneration Research2012，7，12： | 6 |
| 2 | Effect of valproic acid on endogenous neural stem cell proliferation in a rat model of spinal cord injury显示文摘BACKGROUND:Valproic acid has been reported to decrease apoptosis,promote neuronal differentiation of brain-derived neural stem cells,and inhibit glial differentiation of brain-derived neural stem cells. OBJECTIVE:To investigate the effects of valproic acid on proliferation of endogenous neural stem cells in a rat model of spinal cord injury. DESIGN,TIME AND SETTING:A randomized,controlled,neuropathological study was performed at Key Laboratory of Trauma,Burrning,and Combined Injury,Research Institute of Surgery,Daping Hospital,the Third Military Medical University of Chinese PLA between November 2005 and February 2007. MATERIALS:A total of 45 adult,Wistar rats were randomly divided into sham surgery(n=5),injury (n=20),and valproic acid(n=20) groups.Valproic acid was provided by Sigma,USA. METHODS:Injury was induced to the T_(10) segment in the injury and valproic acid groups using the metal weight-dropping method.The spinal cord was exposed without contusion in the sham surgery group.Rats in the valproic acid group were intraperitoneally injected with 150 mg/kg valproic acid every 12 hours(twice in total). MAIN OUTCOME MEASURES:Nestin expression(5 mm from injured center) was detected using immunohistochemistry at 1,3 days,1,4,and 8 weeks post-injury. RESULTS:Low expression of nestin was observed in the cytoplasm,but rarely in the white matter of the spinal cord in the sham surgery group.In the injury group,nestin expression was observed in the ependyma and pia mater one day after injury,and expression reached a peak at 1 week(P<0.05). Expression was primarily observed in the ependymal cells,which expanded towards the white and gray matter of the spinal cord.Nestin expression rapidly decreased by 4 weeks post-injury,and had almost completely disappeared by 8 weeks.At 24 hours after spinal cord injury,there was no significant difference in nestin expression between the valproic acid and injury groups.At 1 week, there was a significant increase in the number of nestin-positive cells surrounding the central canal in valproic acid group compared with the injury group(P<0.05).Expression reached a peak by 4 weeks,and it was still present at 8 weeks. CONCLUSION:Valproic acid promoted endogenous neural stem cell proliferation following spinal cord injury in rats. | Guoxin Nan Ming Li Weihong Liao Jiaqiang Qin Yujiang Cao Youqiong Lu | 2009 | Neural Regeneration Research2009，4，7： | 1 |
| 3 | The influence of sodium diphenylamine sulfonate on the electrodeposition of Mg-Ni alloy and its electrochemical characteristics显示文摘 | Longbiao Liao Weihong Liu | 2004 | Journal of Electroanalytical Chemistry2004，566，： | 1 |
| 4 | Fourier Locally Linear Soft Constrained MACE for facial landmark localization显示文摘 | Wenming Yang Xiang Sun Weihong Deng Chi Zhang Qingmin Liao | 2016 | CAAI Transactions on Intelligence Technology2016，1，3： | 1 |
| 5 | Development of efficient and cost-effective distributed hydrological modeling tool MWEasyDHM based on open-source MapWindow GIS显示文摘 | Xiaohui Lei Yuhui Wang Weihong Liao Yunzhong Jiang Yu Tian Hao Wang | 2011 | Computers and Geosciences2011，，9： | 1 |
| 6 | OnionGraph:Hierarchical topology+attribute multivariate network visualization显示文摘Hierarchical abstraction is a scalable strategy to deal with large networks.Existing visualization methods have allowed to aggregate the network nodes into hierarchies based on the node attributes or network topology,each of which has its own advantage.Very few previous system has the capability to enjoy the best of both worlds.This paper presents OnionGraph,an integrated framework for the exploratory visual analysis of heterogeneous multivariate networks.OnionGraph allows nodes to be aggregated based on either node attributes,topology,or a hierarchical combination of both.These aggregations can be split,merged and filtered under the focus+context interaction model,or automatically traversed by the information-theoretic navigation method.Node aggregations that contain subsets of nodes are displayed by the onion metaphor,indicating the level and details of the abstraction.We have evaluated the OnionGraph tool in three real-world cases.Performance experiments demonstrate that on a commodity desktop,our method can scale to million-node networks while preserving the interactivity for analysis. | Lei Shi Qi Liao Hanghang Tong Yifan Hu Chaoli Wang Chuang Lin Weihong Qian | 2020 | Visual Informatics2020，4，1： | 0 |
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