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您的检索式：作者名="Guiyun Cui"
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| 1 | Factors Associated with Thrombolysis Outcome in Ischemic Stroke Patients with Atrial Fibrillation显示文摘The outcome of early intravenous thrombolysis for ischemic stroke in patients with atrial fibrillation(AF)is worse than that without thrombosis. How to increase the efficacy of intravenous thrombolysis for AF-related ischemic stroke remains largely unknown. In this study, we investigated factors that influence the effect of intravenous thrombolysis in these patients. Our results showed that thrombolysis was independently associated with a favorable outcome(P \ 0.001) and did not influence the mortality of AF-related ischemic stroke, although it increased the risk of hemorrhage within 24 h after treatment. Risk factors for a poor outcome at admission were:heart failure(P = 0.045); high systolic pressure(P = 0.039); high blood glucose(P = 0.030); and a high National Institutes of Health Stroke Scale(NIHSS) score(P \ 0.001). Moreover, high systolic pressure at admission(P = 0.007), high blood glucose(P = 0.027), and a high NIHSS score(P \ 0.001) were independent risk factors for mortality at 3 months. Besides thrombolysis, a high NIHSS score(P = 0.006) and warfarin taken within 48 h before stroke onset(P = 0.032) were also independent risk factors for symptomatic hemorrhage within 24 h after treatment. Ischemic stroke patients with AF benefited from intravenous thrombolysis with recombinant tissue plasminogen activator within 4.5 h after stroke. | Qiuyun Zhao Xiaobo Li Wanli Dong Min Ye Yongjun Cao Meijuan Zhang Qiantao Cheng Junshan Zhou Guofang Chen Ming Yu Shanshan Hong Xiue Wei Bei Wang Guiyun Cui Peng Zhang Hong Ding Rongzhen Xu Yan Chen Yun Xu | 2016 | Neuroscience Bulletin2016，32，2： | 13 |
| 2 | Oxygen-glucose deprivation of neurons transfected with toll-like receptor 3-siRNA Determination of an optimal transfection sequence显示文摘Toll-like receptor 3 protein expression has been shown to be upregulated during cerebra ischemia/reperfusion injury in rats.In this study,rat primary cortical neurons were subjected to oxygen-glucose deprivation to simulate cerebral ischemia/reperfusion injury.Chemically synthesized small interfering RNA(siRNA)-1280,-1724 and-418 specific to toll-like receptor 3 were transfected into oxygen-glucose deprived cortical neurons to suppress the upregulation of toll-like receptor 3 protein expression.Western blotting demonstrated that after transfection with siRNA toll-like receptor 3 protein expression reduced,especially in the toll-like receptor 3-1724 group These results suggested that siRNA-1724 is an optimal sequence for inhibiting toll-like receptor 3expression in cortical neurons following oxygen-glucose deprivation. | Guiyun Cui Xiaopeng Wang Xinchun Ye Jie Zu Kun Zan Fang Hua | 2013 | Neural Regeneration Research2013，8，34： | 2 |
| 3 | Scientific objectives of the Hot Universe Baryon Surveyor(HUBS) mission显示文摘The Hot Universe Baryon Surveyor(HUBS) is a proposed space-based X-ray telescope for detecting X-ray emissions from the hot gas content in our universe. With its unprecedented spatially-resolved high-resolution spectroscopy and large field of view,the HUBS mission will be uniquely qualified to measure the physical and chemical properties of the hot gas in the interstellar medium, the circumgalactic medium, the intergalactic medium, and the intracluster medium. These measurements will be valuable for two key scientific goals of HUBS, namely to unravel the AGN and stellar feedback physics that governs the formation and evolution of galaxies, and to probe the baryon budget and multi-phase states from galactic to cosmological scales. In addition to these two goals, the HUBS mission will also help us solve some problems in the fields of galaxy clusters, AGNs, difuse X-ray backgrounds, supernova remnants, and compact objects. This paper discusses the perspective of advancing these fields using the HUBS telescope. | Joel Bregman Renyue Cen Yang Chen Wei Cui Taotao Fang Fulai Guo Edmund Hodges-Kluck Rui Huang Luis C.Ho Li Ji Suoqing Ji Xi Kang Xiaoyu Lai Hui Li Jiangtao Li Miao Li Xiangdong Li Yuan Li Zhaosheng Li Guiyun Liang Helei Liu Wenhao Liu Fangjun Lu Junjie Mao Gabriele Ponti Zhijie Qu Chenxi Shan Lijing Shao Fangzheng Shi Xinwen Shu Lei Sun Mouyuan Sun Hao Tong Junfeng Wang Junxian Wang Q.Daniel Wang Song Wang Tinggui Wang Weiyang Wang Zhongxiang Wang Dandan Xu Haiguang Xu Heng Xu Renxin Xu Xiaojie Xu Yongquan Xue Hang Yang Feng Yuan Shuinai Zhang Yuning Zhang Zhongli Zhang Yuanyuan Zhao Enping Zhou Ping Zhou | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，9： | 1 |
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