Uncovering the Pharmacological Mechanism of Astragalus Salvia Compound on Pregnancy-Induced Hypertension Syndrome by a Network Pharmacology Approach
To uncover the pharmacological mechanism of Astragalus Salvia compound (ASC) on pregnancy-induced hypertension syndrome (PIH), to provide useful information for clinical, as well as to connect the basic and clinical by a network pharmacological approach, we used network pharmacological approach. We...
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description | To uncover the pharmacological mechanism of Astragalus Salvia compound (ASC) on pregnancy-induced hypertension syndrome (PIH), to provide useful information for clinical, as well as to connect the basic and clinical by a network pharmacological approach, we used network pharmacological approach. We collected ASC’s compounds by traditional Chinese Medicine databases, and input them into PharmMapper to got their targets. Then we acquired PIH targets from Genecards and OMIM, collected the interactions of all the targets and other human proteins via String and INACT. We also constructed the network by Cytoscape and analyze it by MCODE so as to get clusters. Finally, we put all the targets of clusters into DAVID to do GO enrichment analysis. After these, four networks are constructed by Cytoscape; they are PIH network, compound-compound target network of ASC, ASC-PIH network, and compound target-PIH target-other human proteins’ PPI network. According to the results, we think that ASC may directly regulate several biological processes and their genes in “endothelial cell activation and injury” and “placental or trophoblast cell ischemia” models to treat PIH. And it may indirectly act on the rest of the biological process to treat PIH or may not. |
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We collected ASC’s compounds by traditional Chinese Medicine databases, and input them into PharmMapper to got their targets. Then we acquired PIH targets from Genecards and OMIM, collected the interactions of all the targets and other human proteins via String and INACT. We also constructed the network by Cytoscape and analyze it by MCODE so as to get clusters. Finally, we put all the targets of clusters into DAVID to do GO enrichment analysis. After these, four networks are constructed by Cytoscape; they are PIH network, compound-compound target network of ASC, ASC-PIH network, and compound target-PIH target-other human proteins’ PPI network. According to the results, we think that ASC may directly regulate several biological processes and their genes in “endothelial cell activation and injury” and “placental or trophoblast cell ischemia” models to treat PIH. And it may indirectly act on the rest of the biological process to treat PIH or may not.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-017-17139-x</identifier><identifier>PMID: 29203792</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4017 ; 692/699 ; Astragalus ; Astragalus Plant - chemistry ; Astragalus Plant - metabolism ; Cell activation ; Cell culture ; Cluster Analysis ; Endothelial cells ; Female ; Humanities and Social Sciences ; Humans ; Hypertension ; Hypertension, Pregnancy-Induced - drug therapy ; Hypertension, Pregnancy-Induced - metabolism ; Hypertension, Pregnancy-Induced - pathology ; Ischemia ; Medicine, Chinese Traditional ; multidisciplinary ; Placenta ; Placenta - drug effects ; Placenta - metabolism ; Plant Extracts - chemistry ; Plant Extracts - pharmacology ; Plant Extracts - therapeutic use ; Pregnancy ; Protein Interaction Maps - drug effects ; Science ; Science (multidisciplinary) ; Traditional Chinese medicine ; Transcription activation</subject><ispartof>Scientific reports, 2017-12, Vol.7 (1), p.16849-11, Article 16849</ispartof><rights>The Author(s) 2017</rights><rights>2017. 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We collected ASC’s compounds by traditional Chinese Medicine databases, and input them into PharmMapper to got their targets. Then we acquired PIH targets from Genecards and OMIM, collected the interactions of all the targets and other human proteins via String and INACT. We also constructed the network by Cytoscape and analyze it by MCODE so as to get clusters. Finally, we put all the targets of clusters into DAVID to do GO enrichment analysis. After these, four networks are constructed by Cytoscape; they are PIH network, compound-compound target network of ASC, ASC-PIH network, and compound target-PIH target-other human proteins’ PPI network. According to the results, we think that ASC may directly regulate several biological processes and their genes in “endothelial cell activation and injury” and “placental or trophoblast cell ischemia” models to treat PIH. 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chemistry</topic><topic>Astragalus Plant - metabolism</topic><topic>Cell activation</topic><topic>Cell culture</topic><topic>Cluster Analysis</topic><topic>Endothelial cells</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension, Pregnancy-Induced - drug therapy</topic><topic>Hypertension, Pregnancy-Induced - metabolism</topic><topic>Hypertension, Pregnancy-Induced - pathology</topic><topic>Ischemia</topic><topic>Medicine, Chinese Traditional</topic><topic>multidisciplinary</topic><topic>Placenta</topic><topic>Placenta - drug effects</topic><topic>Placenta - metabolism</topic><topic>Plant Extracts - chemistry</topic><topic>Plant Extracts - pharmacology</topic><topic>Plant Extracts - therapeutic use</topic><topic>Pregnancy</topic><topic>Protein Interaction Maps - drug effects</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Traditional Chinese medicine</topic><topic>Transcription activation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Liuting</creatorcontrib><creatorcontrib>Yang, Kailin</creatorcontrib><creatorcontrib>Ge, Jinwen</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeng, Liuting</au><au>Yang, Kailin</au><au>Ge, Jinwen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncovering the Pharmacological Mechanism of Astragalus Salvia Compound on Pregnancy-Induced Hypertension Syndrome by a Network Pharmacology Approach</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2017-12-04</date><risdate>2017</risdate><volume>7</volume><issue>1</issue><spage>16849</spage><epage>11</epage><pages>16849-11</pages><artnum>16849</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>To uncover the pharmacological mechanism of Astragalus Salvia compound (ASC) on pregnancy-induced hypertension syndrome (PIH), to provide useful information for clinical, as well as to connect the basic and clinical by a network pharmacological approach, we used network pharmacological approach. We collected ASC’s compounds by traditional Chinese Medicine databases, and input them into PharmMapper to got their targets. Then we acquired PIH targets from Genecards and OMIM, collected the interactions of all the targets and other human proteins via String and INACT. We also constructed the network by Cytoscape and analyze it by MCODE so as to get clusters. Finally, we put all the targets of clusters into DAVID to do GO enrichment analysis. After these, four networks are constructed by Cytoscape; they are PIH network, compound-compound target network of ASC, ASC-PIH network, and compound target-PIH target-other human proteins’ PPI network. According to the results, we think that ASC may directly regulate several biological processes and their genes in “endothelial cell activation and injury” and “placental or trophoblast cell ischemia” models to treat PIH. And it may indirectly act on the rest of the biological process to treat PIH or may not.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29203792</pmid><doi>10.1038/s41598-017-17139-x</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 692/4017 692/699 Astragalus Astragalus Plant - chemistry Astragalus Plant - metabolism Cell activation Cell culture Cluster Analysis Endothelial cells Female Humanities and Social Sciences Humans Hypertension Hypertension, Pregnancy-Induced - drug therapy Hypertension, Pregnancy-Induced - metabolism Hypertension, Pregnancy-Induced - pathology Ischemia Medicine, Chinese Traditional multidisciplinary Placenta Placenta - drug effects Placenta - metabolism Plant Extracts - chemistry Plant Extracts - pharmacology Plant Extracts - therapeutic use Pregnancy Protein Interaction Maps - drug effects Science Science (multidisciplinary) Traditional Chinese medicine Transcription activation |
title | Uncovering the Pharmacological Mechanism of Astragalus Salvia Compound on Pregnancy-Induced Hypertension Syndrome by a Network Pharmacology Approach |
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