Objective: To study the protective effect of extract of Folium Ginkgo (FGE) on repeated cerebral ischemia-reperfusion injury. Methods: The model in waking mice induced by repeated cerebral ischemia-reperfusion were us...Objective: To study the protective effect of extract of Folium Ginkgo (FGE) on repeated cerebral ischemia-reperfusion injury. Methods: The model in waking mice induced by repeated cerebral ischemia-reperfusion were used in the experiment to observe the effect of FGE on behavior, oxygen free radical metabolism and prostaglandin E2 (PGE2) content by step-through experiment, diving stand and colorimetric method. Results: FGE could obviously improve the learning ability and memory of model animals, and could lower obviously the content of malonyldialdehyde, nitric oxide and PGE2, restore the lowered activity of superoxide dismutase and catalase in cerebral tissue. Conclusion: FGE has highly protective effect against repeated ischemia-reperfusion injury, the mechanism might be related with its action on anti-lipid oxidatin, improve the activity of antioxidase and inhibit the producing of PGE2.展开更多
目的:基于网络药理学及分子对接方法探讨银杏叶治疗肝癌的活性成分、潜在靶点及作用机制。方法:采用TCMSP、Swiss Target Prediction、DrugBank和Genecards等数据库预测银杏叶的活性成分和肝癌相关疾病靶点,取交集后构建蛋白互作网络,使...目的:基于网络药理学及分子对接方法探讨银杏叶治疗肝癌的活性成分、潜在靶点及作用机制。方法:采用TCMSP、Swiss Target Prediction、DrugBank和Genecards等数据库预测银杏叶的活性成分和肝癌相关疾病靶点,取交集后构建蛋白互作网络,使用String、Cytoscape3.9.1分析平台绘制“成分-疾病-靶点”PPI网络图,采用Metascape分析平台对核心靶点进行GO功能和KEGG通路富集分析,使用Chem BIO 3D和Auto Dock Tools进行分子对接,模拟化合物与疾病靶点间的结合活性。结果:银杏叶活性成分27种主要为黄酮类化合物,关联861个疾病靶点,肝癌疾病靶点1637个,78个银杏叶与肝癌交集靶点,可能通路10条,包括Proteoglycans in cancer、Endocrine resistance、Estrogen signaling pathway等;分子对接结果表明活性化合物与靶点亲和力较好。结论:银杏叶中木犀草素-4'-葡萄糖苷、毛茛黄素、香叶木素等可能是治疗肝癌的关键成分,体现了银杏叶多成分、多靶点治疗肝癌的特点,为今后银杏叶的深度研究与开发提供了参考思路。展开更多
Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five ...Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five kinds of systematic quality characteristics,nearly 2,000,000 real-world data points were successively characterized from Ginkgo Folium tablet manufacturing.Then,from simplex to the multivariate system,the digital process capability diagnosis strategy was proposed by multivariate C_(pk)integrated Bootstrap-t.The C_(pk)of Ginkgo Folium extracts,granules,and tablets were discovered,which was 0.59,0.42,and 0.78,respectively,indicating a relatively weak process capability,especially in granulating.Furthermore,the quality traceability was discovered from unit to end-to-end analysis,which decreased from 2.17 to 1.73.This further proved that attention should be paid to granulating to improve the quality characteristic.In conclusion,this paper provided a data-driven engineering strategy empowering industrial innovation to face the challenge of smart pharmaceutical manufacturing.展开更多
文摘Objective: To study the protective effect of extract of Folium Ginkgo (FGE) on repeated cerebral ischemia-reperfusion injury. Methods: The model in waking mice induced by repeated cerebral ischemia-reperfusion were used in the experiment to observe the effect of FGE on behavior, oxygen free radical metabolism and prostaglandin E2 (PGE2) content by step-through experiment, diving stand and colorimetric method. Results: FGE could obviously improve the learning ability and memory of model animals, and could lower obviously the content of malonyldialdehyde, nitric oxide and PGE2, restore the lowered activity of superoxide dismutase and catalase in cerebral tissue. Conclusion: FGE has highly protective effect against repeated ischemia-reperfusion injury, the mechanism might be related with its action on anti-lipid oxidatin, improve the activity of antioxidase and inhibit the producing of PGE2.
文摘目的:基于网络药理学及分子对接方法探讨银杏叶治疗肝癌的活性成分、潜在靶点及作用机制。方法:采用TCMSP、Swiss Target Prediction、DrugBank和Genecards等数据库预测银杏叶的活性成分和肝癌相关疾病靶点,取交集后构建蛋白互作网络,使用String、Cytoscape3.9.1分析平台绘制“成分-疾病-靶点”PPI网络图,采用Metascape分析平台对核心靶点进行GO功能和KEGG通路富集分析,使用Chem BIO 3D和Auto Dock Tools进行分子对接,模拟化合物与疾病靶点间的结合活性。结果:银杏叶活性成分27种主要为黄酮类化合物,关联861个疾病靶点,肝癌疾病靶点1637个,78个银杏叶与肝癌交集靶点,可能通路10条,包括Proteoglycans in cancer、Endocrine resistance、Estrogen signaling pathway等;分子对接结果表明活性化合物与靶点亲和力较好。结论:银杏叶中木犀草素-4'-葡萄糖苷、毛茛黄素、香叶木素等可能是治疗肝癌的关键成分,体现了银杏叶多成分、多靶点治疗肝癌的特点,为今后银杏叶的深度研究与开发提供了参考思路。
基金co-National Outstanding Youth Science Fund Project of National Natural Science Foundation of China(Grant No.82022073,China)Major scientific and technological R&D projects in Jiangxi Province(Grant No.20203ABC28W018,China)National Key Research and Development Program of China(Grant No.2018YFC1706900,China)。
文摘Smart manufacturing still remains critical challenges for pharmaceutical manufacturing.Here,an original data-driven engineering framework was proposed to tackle the challenges.Firstly,from sporadic indicators to five kinds of systematic quality characteristics,nearly 2,000,000 real-world data points were successively characterized from Ginkgo Folium tablet manufacturing.Then,from simplex to the multivariate system,the digital process capability diagnosis strategy was proposed by multivariate C_(pk)integrated Bootstrap-t.The C_(pk)of Ginkgo Folium extracts,granules,and tablets were discovered,which was 0.59,0.42,and 0.78,respectively,indicating a relatively weak process capability,especially in granulating.Furthermore,the quality traceability was discovered from unit to end-to-end analysis,which decreased from 2.17 to 1.73.This further proved that attention should be paid to granulating to improve the quality characteristic.In conclusion,this paper provided a data-driven engineering strategy empowering industrial innovation to face the challenge of smart pharmaceutical manufacturing.
