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Protection of Effective Component Group from Xiaoshuan Tongluo on Brain Injury after Chronic Hypoperfusion in Rats
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作者 TAN Chu-bing1,2,WANG Hong-qing1,TIAN Shuo1,GAO Mei1,XU Wei-ren2,CHEN Ruo-yun1, DU Guan-hua1 1.Institute of Materia Medica,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100050,China 2.Tianjin Key Laboratory of Molecular Design and Drug Discovery,Tianjin Institute of Pharmaceutical Research,Tianjin 300193,China 《Chinese Herbal Medicines》 CAS 2011年第3期202-206,共5页
Objective To investigate the protective effects of purified effective component group in extract from Xiaoshuan Tongluo(CGXT) formula on chronic brain ischemia in rats.Methods CGXT 75,150,and 300 mg/kg or vehicle were... Objective To investigate the protective effects of purified effective component group in extract from Xiaoshuan Tongluo(CGXT) formula on chronic brain ischemia in rats.Methods CGXT 75,150,and 300 mg/kg or vehicle were ig administered daily for four weeks to rats with bilateral common carotid arteries ligation(BCCAL) .From the day 24 to 28 after BCCAL,Morris water maze was performed to assess the learning and memory impairment of rats.Four weeks after BCCAL,brain gray and white matter damage were assessed.Results In Morris test,the mean escape latency of rats in the CGXT(150 and 300 mg/kg) groups was significantly shorter than that in the vehicle group.CGXT also attenuated the neuronal damage in hippocampus and cortex and reduced the pathological damage in the optic tract and corpus callosum.Conclusion CGXT could improve learning and memory impairment resulted from BCCAL in rats.These results provide the experimental basis for the clinical use of CGXT in stroke treatment and may help in investigation of multimodal therapy strategies in ischemic cerebrovascular diseases including stroke. 展开更多
关键词 effective component group in extract from xiaoshuan tongluo formula learning and memory Morris water maze STROKE white matter damage
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基于系统的化合物-靶点相互作用预测模型的消栓通络方抗脑卒中网络药理学研究 被引量:8
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作者 郑一夫 孔令雷 +5 位作者 贾皓 张宝月 王喆 许律捷 刘艾林 杜冠华 《药学学报》 CAS CSCD 北大核心 2020年第2期256-264,共9页
消栓通络方临床上主治脑血栓引起的精神呆滞、言语迟涩等症状,疗效显著,但其作用机制尚不明确。本文通过搜集消栓通络方中的化学成分和治疗脑卒中相关靶点,获得1251个化学成分和10个脑卒中相关靶点,采用朴素贝叶斯和递归分割等机器学习... 消栓通络方临床上主治脑血栓引起的精神呆滞、言语迟涩等症状,疗效显著,但其作用机制尚不明确。本文通过搜集消栓通络方中的化学成分和治疗脑卒中相关靶点,获得1251个化学成分和10个脑卒中相关靶点,采用朴素贝叶斯和递归分割等机器学习算法,基于分子指纹和分子描述符,结合分子对接方法,构建了脑卒中10个相关靶点的18个化合物-靶点相互作用预测模型。应用这些模型预测了消栓通络方的活性化学成分及其作用靶点,发现了153个潜在活性化学成分,其中22个可以与2个以上脑卒中药物靶点相互作用。在此基础上,利用网络构建专业软件,构建了化学成分-靶点网络,并通过Gene-Ontology(GO)富集分析,确证了靶点重要的生物过程,如凝血(blood coagulation)、血管生成正调控(positive regulation of angiogenesis)和离子转运正调控(positive regulation of ion transport)等。在此基础上,构建了靶点-通路网络。本研究利用机器学习、分子对接、虚拟筛选、数据挖掘及网络构建等技术方法,探索并部分揭示了消栓通络方抗脑卒中的活性物质基础及其化学成分-靶点-通路的网络作用机制,为消栓通络方的深入研究提供重要信息依据。 展开更多
关键词 消栓通络方 脑卒中 药物靶点 机器学习 分子对接 虚拟筛选 网络药理学
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