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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Main Authors: Yi Qian, Xin Sun, Xin Wang, Xin Yang, Mengyao Fan, Jiao Zhong, Zejun Pei, Junping Guo
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2021/5477941
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author Yi Qian
Xin Sun
Xin Wang
Xin Yang
Mengyao Fan
Jiao Zhong
Zejun Pei
Junping Guo
author_facet Yi Qian
Xin Sun
Xin Wang
Xin Yang
Mengyao Fan
Jiao Zhong
Zejun Pei
Junping Guo
author_sort Yi Qian
collection DOAJ
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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spelling doaj-art-541e3fb1566d48e7969619068cb67ac82025-02-03T05:45:19ZengWileyJournal of Diabetes Research2314-67452314-67532021-01-01202110.1155/2021/54779415477941Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking AnalysisYi Qian0Xin Sun1Xin Wang2Xin Yang3Mengyao Fan4Jiao Zhong5Zejun Pei6Junping Guo7Department of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaDepartment of Pharmacy, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi 214002, ChinaYixing People’s Hospital, Yixing 214200, ChinaObjective. 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.http://dx.doi.org/10.1155/2021/5477941
spellingShingle Yi Qian
Xin Sun
Xin Wang
Xin Yang
Mengyao Fan
Jiao Zhong
Zejun Pei
Junping Guo
Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
Journal of Diabetes Research
title Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
title_full Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
title_fullStr Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
title_full_unstemmed Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
title_short Mechanism of Cordyceps Cicadae in Treating Diabetic Nephropathy Based on Network Pharmacology and Molecular Docking Analysis
title_sort mechanism of cordyceps cicadae in treating diabetic nephropathy based on network pharmacology and molecular docking analysis
url http://dx.doi.org/10.1155/2021/5477941
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