Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis

Objective. To systematically study the mechanism of cordyceps cicadae in the treatment of diabetic nephropathy (DN) with the method of network pharmacology and molecular docking analysis, so as to provide theoretical basis for the development of new drugs for the treatment of DN. Methods. TCMSP, Sym...

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Published in:Journal of diabetes research 2021, Vol.2021, p.5477941-10
Main Authors: Qian, Yi, Sun, Xin, Wang, Xin, Yang, Xin, Fan, Mengyao, Zhong, Jiao, Pei, Zejun, Guo, Junping
Format: Article
Language:English
Subjects:
Acids
Adenosine
Binding sites
Biological Products - therapeutic use
Chinese medicine
Cordyceps - chemistry
Diabetes
Diabetic Nephropathies - drug therapy
Diabetic nephropathy
Glucose
Humans
Keywords
Kidney diseases
Medicine, Chinese Traditional
Metabolism
Molecular Docking Simulation
Network Pharmacology
Pharmacology
Protein Interaction Maps
Proteins
Signal transduction
Software
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container_end_page 10
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container_start_page 5477941
container_title Journal of diabetes research
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creator Qian, Yi
Sun, Xin
Wang, Xin
Yang, Xin
Fan, Mengyao
Zhong, Jiao
Pei, Zejun
Guo, Junping
description Objective. To systematically study the mechanism of cordyceps cicadae in the treatment of diabetic nephropathy (DN) with the method of network pharmacology and molecular docking analysis, so as to provide theoretical basis for the development of new drugs for the treatment of DN. Methods. TCMSP, Symmap, PubChem, PubMed, and CTD database were used to predict and screen the active components and therapeutic targets for DN. The network of active components and targets was drawn by Cytoscape 3.6.0, the protein-protein interaction (PPI) was analyzed by the STRING database, and the DAVID database was used for the enrichment analysis of intersection targets. Molecular docking studies were finished by Discovery Studio 3.5. Results. A total of 36 active compounds, including myriocin, guanosine, and inosine, and 378 potential targets of cordyceps cicadae were obtained. PPI network analysis showed that AKT1, MAPK8, and TP53 and other targets were related to both cordyceps cicadae and DN. GO and KEGG pathway analysis showed that these targets were mostly involved in R-HSA-450341, 157.14-3-3 cell cycle, and PDGF pathways. Docking studies suggested that myriocin can fit in the binding pocket of two target proteins (AKT1 and MAPK8). Conclusion. Active ingredients of cordyceps cicadae such as myriocin may act on DN through different targets such as AKT1, MAPK8, and TP53 and other targets, which can help to develop innovative drugs for effective treatment of DN.
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To systematically study the mechanism of cordyceps cicadae in the treatment of diabetic nephropathy (DN) with the method of network pharmacology and molecular docking analysis, so as to provide theoretical basis for the development of new drugs for the treatment of DN. Methods. TCMSP, Symmap, PubChem, PubMed, and CTD database were used to predict and screen the active components and therapeutic targets for DN. The network of active components and targets was drawn by Cytoscape 3.6.0, the protein-protein interaction (PPI) was analyzed by the STRING database, and the DAVID database was used for the enrichment analysis of intersection targets. Molecular docking studies were finished by Discovery Studio 3.5. Results. A total of 36 active compounds, including myriocin, guanosine, and inosine, and 378 potential targets of cordyceps cicadae were obtained. PPI network analysis showed that AKT1, MAPK8, and TP53 and other targets were related to both cordyceps cicadae and DN. GO and KEGG pathway analysis showed that these targets were mostly involved in R-HSA-450341, 157.14-3-3 cell cycle, and PDGF pathways. Docking studies suggested that myriocin can fit in the binding pocket of two target proteins (AKT1 and MAPK8). Conclusion. Active ingredients of cordyceps cicadae such as myriocin may act on DN through different targets such as AKT1, MAPK8, and TP53 and other targets, which can help to develop innovative drugs for effective treatment of DN.</description><identifier>ISSN: 2314-6745</identifier><identifier>EISSN: 2314-6753</identifier><identifier>DOI: 10.1155/2021/5477941</identifier><identifier>PMID: 34621904</identifier><language>eng</language><publisher>England: Hindawi</publisher><subject>Acids ; Adenosine ; Binding sites ; Biological Products - therapeutic use ; Chinese medicine ; Cordyceps - chemistry ; Diabetes ; Diabetic Nephropathies - drug therapy ; Diabetic nephropathy ; Glucose ; Humans ; Keywords ; Kidney diseases ; Medicine, Chinese Traditional ; Metabolism ; Molecular Docking Simulation ; Network Pharmacology ; Pharmacology ; Protein Interaction Maps ; Proteins ; Signal transduction ; Software</subject><ispartof>Journal of diabetes research, 2021, Vol.2021, p.5477941-10</ispartof><rights>Copyright © 2021 Yi Qian et al.</rights><rights>Copyright © 2021 Yi Qian et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2021 Yi Qian et al. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6251-bfc7c7985987748bc0d705e0058683c56cfbfeb3db4837b5000abc60b4fd3ac43</citedby><cites>FETCH-LOGICAL-c6251-bfc7c7985987748bc0d705e0058683c56cfbfeb3db4837b5000abc60b4fd3ac43</cites><orcidid>0000-0001-8878-7044 ; 0000-0002-0563-0058</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2580586067/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2580586067?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,4010,25731,27900,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34621904$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Yu, Liping</contributor><contributor>Liping Yu</contributor><creatorcontrib>Qian, Yi</creatorcontrib><creatorcontrib>Sun, Xin</creatorcontrib><creatorcontrib>Wang, Xin</creatorcontrib><creatorcontrib>Yang, Xin</creatorcontrib><creatorcontrib>Fan, Mengyao</creatorcontrib><creatorcontrib>Zhong, Jiao</creatorcontrib><creatorcontrib>Pei, Zejun</creatorcontrib><creatorcontrib>Guo, Junping</creatorcontrib><title>Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis</title><title>Journal of diabetes research</title><addtitle>J Diabetes Res</addtitle><description>Objective. To systematically study the mechanism of cordyceps cicadae in the treatment of diabetic nephropathy (DN) with the method of network pharmacology and molecular docking analysis, so as to provide theoretical basis for the development of new drugs for the treatment of DN. Methods. TCMSP, Symmap, PubChem, PubMed, and CTD database were used to predict and screen the active components and therapeutic targets for DN. The network of active components and targets was drawn by Cytoscape 3.6.0, the protein-protein interaction (PPI) was analyzed by the STRING database, and the DAVID database was used for the enrichment analysis of intersection targets. Molecular docking studies were finished by Discovery Studio 3.5. Results. A total of 36 active compounds, including myriocin, guanosine, and inosine, and 378 potential targets of cordyceps cicadae were obtained. PPI network analysis showed that AKT1, MAPK8, and TP53 and other targets were related to both cordyceps cicadae and DN. GO and KEGG pathway analysis showed that these targets were mostly involved in R-HSA-450341, 157.14-3-3 cell cycle, and PDGF pathways. Docking studies suggested that myriocin can fit in the binding pocket of two target proteins (AKT1 and MAPK8). Conclusion. 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To systematically study the mechanism of cordyceps cicadae in the treatment of diabetic nephropathy (DN) with the method of network pharmacology and molecular docking analysis, so as to provide theoretical basis for the development of new drugs for the treatment of DN. Methods. TCMSP, Symmap, PubChem, PubMed, and CTD database were used to predict and screen the active components and therapeutic targets for DN. The network of active components and targets was drawn by Cytoscape 3.6.0, the protein-protein interaction (PPI) was analyzed by the STRING database, and the DAVID database was used for the enrichment analysis of intersection targets. Molecular docking studies were finished by Discovery Studio 3.5. Results. A total of 36 active compounds, including myriocin, guanosine, and inosine, and 378 potential targets of cordyceps cicadae were obtained. PPI network analysis showed that AKT1, MAPK8, and TP53 and other targets were related to both cordyceps cicadae and DN. GO and KEGG pathway analysis showed that these targets were mostly involved in R-HSA-450341, 157.14-3-3 cell cycle, and PDGF pathways. Docking studies suggested that myriocin can fit in the binding pocket of two target proteins (AKT1 and MAPK8). Conclusion. Active ingredients of cordyceps cicadae such as myriocin may act on DN through different targets such as AKT1, MAPK8, and TP53 and other targets, which can help to develop innovative drugs for effective treatment of DN.</abstract><cop>England</cop><pub>Hindawi</pub><pmid>34621904</pmid><doi>10.1155/2021/5477941</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8878-7044</orcidid><orcidid>https://orcid.org/0000-0002-0563-0058</orcidid><oa>free_for_read</oa></addata></record>
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subjects Acids
Adenosine
Binding sites
Biological Products - therapeutic use
Chinese medicine
Cordyceps - chemistry
Diabetes
Diabetic Nephropathies - drug therapy
Diabetic nephropathy
Glucose
Humans
Keywords
Kidney diseases
Medicine, Chinese Traditional
Metabolism
Molecular Docking Simulation
Network Pharmacology
Pharmacology
Protein Interaction Maps
Proteins
Signal transduction
Software
title Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
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