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find Author "黄建敏" 2 results
  • Study on the expression of Cdc42、N-WASP、Arp2/3 in peripheral blood of patients with drug-resistant epilepsy

    ObjectTo investigate the pathogenesis of drug-resistant epilepsy by examining the expression of mRNA and protein of Cell Division Cycle 42 GTP-binding protein (Cdc42), Neural Wiskott-Aldrich Syndrome Protein (N-WASP) and Actin-related protein 2/3(Arp2/3) in peripheral blood of patients with drug-resistant epilepsy (DRE).MethodsSeventy two essential epilepsy patients who were attended at outpatients and inpatients in the Department of Neurology of the Affiliated Hospital of Youjiang Medical University for Nationalities were selected from October 2016 to October 2018. According to the 2010 International League Against Epilepsy’s definition of Drug-Resistant Epilepsy, the patients were divided into 2 groups: 32 patients with DRE were defined as DRE group, 40 patients with anti-epilepsy drugs (AEDs) well controlled were defined as the well controlled group. Thirty two healthy persons were selected as control group. The expression of mRNA and protein of Cdc42, N-WASP and Arp2/3 in peripheral blood were measured by quantitative real-time PCR (RT-qPCR) and Western blot(WB). Experimental data were analyzed by ANOVA or rank-sum test.ResultsCompared with well-controlled group and healthy persons group, Cdc42, N-WASP, Arp2/3 in DRE group were significantly increased, the differences were statistically significant (P<0.05). Compared with the control group, Cdc42, N-WASP, Arp2/3 in well-controlled group were significantly increased, with statistically significant differences (P<0.05).ConclusionThe expression of Cdc42, N-WASP, Arp2/3 in peripheral blood of patients with DRE significantly increased, being closely related to the occurrence and development of DRE, and used as indicators in peripheral blood predicting the occurrence of DRE.

    Release date:2020-03-20 08:06 Export PDF Favorites Scan
  • 智能移动设备在癫痫管理中的研究进展

    智能移动设备可能引起癫痫患者脑电波的改变,但目前尚无充分证据表明能够引起临床症状。癫痫患者及其监护人对智能移动设备在癫痫管理中的应用持积极态度。智能移动设备在癫痫管理中有多种模式,如短信、家庭视频、贝叶斯分析、智能穿戴设备等,不仅可以监测癫痫表现还可能预测癫痫发作。在一些发展中国家,智能移动设备在癫痫管理中取得了良好效果。

    Release date:2018-11-21 02:23 Export PDF Favorites Scan
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