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Effects of triptolide on hippocampal microglial cells and astrocytes in the APP/PS1 double transgenic mouse model of Alzheimer's disease 被引量:7
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作者 Jian-ming Li Yan Zhang +5 位作者 Liang Tang Yong-heng Chen Qian Gao mei-hua bao Ju Xiang De-liang Lei 《Neural Regeneration Research》 SCIE CAS CSCD 2016年第9期1492-1498,共7页
The principal pathology of Alzheimer's disease includes neuronal extracellular deposition of amyloid-beta peptides and formation of senile pl aques,which in turn induce neuroinflammation in the brain.Triptolide,a ... The principal pathology of Alzheimer's disease includes neuronal extracellular deposition of amyloid-beta peptides and formation of senile pl aques,which in turn induce neuroinflammation in the brain.Triptolide,a natural extract from the vine-like herb Tripterygium wilfordii Hook F,has potent anti-inflammatory and immunosuppressive efficacy.Therefore,we determined if triptolide can inhibit activation and proliferation of microglial cells and astrocytes in the APP/PS1 double transgenic mouse model of Alzheimer's disease.We used 1 or 5 μg/kg/d triptolide to treat APP/PS1 double transgenic mice(aged 4–4.5 months) for 45 days.Unbiased stereology analysis found that triptolide dose-dependently reduced the total number of microglial cells,and transformed microglial cells into the resting state.Further,triptolide(5 μg/kg/d) also reduced the total number of hippocampal astrocytes.Our in vivo test results indicate that triptolide suppresses activation and proliferation of microglial cells and astrocytes in the hippocampus of APP/PS1 double transgenic mice with Alzheimer's disease. 展开更多
关键词 nerve regeneration neurodegenerative disease traditional Chinese medicine Tripterygium wilfordii Hook F TRIPTOLIDE Alzheimer’s disease amyloid plaques amyloid-β amyloid precursor protein inflammation MICROGLIA ASTROCYTES neural regeneration
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Adaptive multi-resolution Modularity for detecting communities in networks
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作者 Shi Chen Zhi-Zhong Wang +5 位作者 mei-hua bao Liang Tang Ji Zhou Ju Xiang Jian-Ming Li Chen-He Yi 《长沙医学院学报》 2019年第1期1-14,共14页
Community structure is a common topological property of complex networks, which attracted much attention from various fields. Optimizing quality functions for community structures is a kind of popular strategy for com... Community structure is a common topological property of complex networks, which attracted much attention from various fields. Optimizing quality functions for community structures is a kind of popular strategy for community detection, such as Modularity optimization. Here, we introduce a general definition of Modularity, by which several classical(multi-resolution) Modularity can be derived, and then propose a kind of adaptive(multi-resolution) Modularity that can combine the advantages of different Modularity. By applying the Modularity to various synthetic and real-world networks, we study the behaviors of the methods, showing the validity and advantages of the multi-resolution Modularity in community detection. The adaptive Modularity, as a kind of multi-resolution method, can naturally solve the first-type limit of Modularity and detect communities at different scales;it can quicken the disconnecting of communities and delay the breakup of communities in heterogeneous networks;and thus it is expected to generate the stable community structures in networks more effectively and have stronger tolerance against the secondtype limit of Modularity. 展开更多
关键词 COMPLEX NETWORKS COMMUNITY detection MODULARITY MULTI-RESOLUTION
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