检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:宋泽龙 吉旭彬 孙金川[4] 曲玉婷 高萌 孙祥耀 王翔宇 SONG Zelong;JI Xubin;SUN Jinchuan;QU Yuting;GAO Meng;SUN Xiangyao;WANG Xiangyu(Department of Surgery,Sushui Trauma Hospital,Yuncheng 044000,Shanxi,P.R.China;School of Medicine,Nankai University,Tianjin 300000,P.R.China;Department of Traumatology,Dongying People's Hospital,Dongying 257000,Shandong,P.R.China;Department of Orthopedics,Binzhou People's Hospital,Binzhou 256600,Shandong,P.R.China;The Third Affiliated Hospital of Beijing University of Chinese Medicine,Beijing 100000,P.R.China;Shandong Provincial Hospital Affiliated to Shandong First Medical University,Jinan 250000,Shandong,P.R.China;Department of Orthopedics,Xuanwu Hospital Affiliated to Capital Medical University,Beijing 100000,P.R.China;Department of Pain,First Medical Center,Chinese People's Liberation Army General Hospital,Beijing 100000,P.R.China)
机构地区:[1]运城涑水创伤医院外科,山西运城044000 [2]南开大学医学院,天津300000 [3]东营市人民医院创伤骨科,山东东营257000 [4]滨州市人民医院骨科,山东滨州256600 [5]北京中医药大学第三附属医院,北京100000 [6]山东第一医科大学附属山东省立医院,山东济南250000 [7]首都医科大学附属宣武医院骨科,北京100000 [8]中国人民解放军总医院第一医学中心疼痛科,北京100000
出 处:《滨州医学院学报》2024年第3期217-222,共6页Journal of Binzhou Medical University
摘 要:目的通过网络药理学及分子对接对玉屏风散药物成分、作用靶点进行数据挖掘、分析,以探究玉屏风散促进创口愈合的作用机制。方法TCMSP检索玉屏风散有效成分、相关靶点,使用GeneCards、OMIM、PharmGKB、TTD、DrugBank数据库检索疾病相关靶点,使用Perl语言进行归类数据分析。R语言绘制Venn图。STRING网络平台检索靶蛋白之间相互关系,并导出PPI网络图,使用Cytoscape软件将药物有效成分及疾病相关靶点网络关系可视化。使用Bioconductor数据、R语言进行数据分析并绘制相关柱状图、气泡图、通路图。使用PubChem数据库、PDB数据库受体、配体信息,通过AutoDockTools进行分子对接、打分。结果筛选出玉屏风散中有黄芪14种,防风16种,白术3种有效成分。PPI中筛选出18个核心靶点。GO及KEGG分析,AGE-RAGE通路、TNF通路、EGFR通路、PI3K-Akt通路、MAPK通路、HIF-1通路与玉屏风散促进创面愈合相关。玉屏风散有多种有效成分作用于核心靶点PPARγ,预测有效成分常春藤皂苷元可能作用于PPARγ靶点。结论玉屏风散通过多靶点、多途径和多重机制促进创口愈合。常春藤皂苷元可能是作用于PPARγ靶点促进创面愈合的新机制。Objective To explore the mechanism of Yupingfeng Powder in promoting wound healingwith the use of data mining and analysis of drug ingredients and targets of Yupingfeng Powder through network pharmacology and molecular docking.Methods TCMSP databasewas used to search the active ingredients and related targets of YupingfengPowder,and the OMIM,PharmGKB,TTD,DrugBank,and GeneCards databases were used to find related targets.The Perl language was used to classify and analyze the data and the R language was used to draw Venn diagrams according to the data.The STRING network platform was used to retrieve the relationshipsamong target proteins,and the PPI network diagram was derived.The network relationships of active ingredients and disease-related targets were visualized by using Cytoscape software.Bioconductor data and R language were used for data analysis,and correlation bar charts,bubble charts,and path charts were drawn.PubChem database and PDB database were used for receptor and ligand information,and AutoDockTools was used for molecular docking and scoring.Results There were 14 kinds in HedysarumMultijugum Maxim,16 in AtractylodesMacrocephalaKoidz,and 3 kinds in Saposhnikoviae Radix.Eighteen core targets were selected in PPI.GO and KEGG analysis showed that the AGE-RAGE pathway,TNF pathway,EGFR pathway,PI3K-Akt pathway,MAPK pathway,and HIF-1 pathway were all associated with wound healing targets treated by Yupingfeng Powder.There are many active components in Yupingfeng Powder acting on the core target PPARγ,and it is predicted that the active component of Hederagenin may act on PPARγ.Conclusion Yupingfeng Powder is a multi-target,multi-pathway,and multi-mechanism treatment for wound healing.Hederagenin may be a new mechanism to promote wound healing by acting on PPARγtargets.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.74