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The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking

BACKGROUND: Glioma is the most common primary intracranial tumor in adult patients. Among them, glioblastoma is a highly malignant one with a poor prognosis. Flavonoids are a class of phenolic compounds widely distributed in plants and have many biological functions, such as anti-inflammatory, antio...

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Autores principales: Li, Taiping, Xiao, Yong, Wang, Zhen, Xiao, Hong, Liu, Hongyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820855/
https://www.ncbi.nlm.nih.gov/pubmed/35140796
http://dx.doi.org/10.1155/2022/2198722
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author Li, Taiping
Xiao, Yong
Wang, Zhen
Xiao, Hong
Liu, Hongyi
author_facet Li, Taiping
Xiao, Yong
Wang, Zhen
Xiao, Hong
Liu, Hongyi
author_sort Li, Taiping
collection PubMed
description BACKGROUND: Glioma is the most common primary intracranial tumor in adult patients. Among them, glioblastoma is a highly malignant one with a poor prognosis. Flavonoids are a class of phenolic compounds widely distributed in plants and have many biological functions, such as anti-inflammatory, antioxidant, antiaging, and anticancer. Nowadays, flavonoids have been applied to the therapy of glioma; however, the molecular mechanism underlying the therapeutic effects has not been fully elaborated. This study was carried out to explore the mechanism of selected active flavonoid compounds in treating glioma using network pharmacology and molecular docking approaches. METHODS: Active ingredients and associated targets of flavonoids were acquired by using the Traditional Chinese Medicine Database and Analysis Platform (TCMSP) and Swiss TargetPrediction platform. Genes related to glioma were obtained from the GeneCards and DisGeNET databases. The intersection targets between flavonoid targets and glioma-related genes were used to construct protein-protein interaction (PPI) network via the STRING database, and the results were analyzed by Cytoscape software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed and displayed by utilizing the Metascape portal and clusterProfiler R package. Molecular docking was carried out by iGEMDOCK and SwissDock, and the results were visually displayed by UCSF Chimera software. RESULTS: Eighty-four active flavonoid compounds and 258 targets overlapped between flavonoid targets and glioma-related genes were achieved. PPI network revealed potential therapeutic targets, such as AKT1, EGFR, VEGFA, MAPK3, and CASP3, based on their node degree. GO and KEGG analyses showed that core targets were mainly enriched in the PI3K-Akt signaling pathway. Molecular docking simulation indicated that potential glioma-related targets-MAPK1 and HSP90AA1 were bounded more firmly with epigallocatechin-3-gallate (EGCG) than with quercetin. CONCLUSIONS: The findings of this study indicated that selected active flavonoid compounds might play therapeutic roles in glioma mainly through the PI3K-Akt signaling pathway. Moreover, EGCG had the potential antiglioma activity by targeting MAPK1 and HSP90AA1.
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spelling pubmed-88208552022-02-08 The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking Li, Taiping Xiao, Yong Wang, Zhen Xiao, Hong Liu, Hongyi Evid Based Complement Alternat Med Research Article BACKGROUND: Glioma is the most common primary intracranial tumor in adult patients. Among them, glioblastoma is a highly malignant one with a poor prognosis. Flavonoids are a class of phenolic compounds widely distributed in plants and have many biological functions, such as anti-inflammatory, antioxidant, antiaging, and anticancer. Nowadays, flavonoids have been applied to the therapy of glioma; however, the molecular mechanism underlying the therapeutic effects has not been fully elaborated. This study was carried out to explore the mechanism of selected active flavonoid compounds in treating glioma using network pharmacology and molecular docking approaches. METHODS: Active ingredients and associated targets of flavonoids were acquired by using the Traditional Chinese Medicine Database and Analysis Platform (TCMSP) and Swiss TargetPrediction platform. Genes related to glioma were obtained from the GeneCards and DisGeNET databases. The intersection targets between flavonoid targets and glioma-related genes were used to construct protein-protein interaction (PPI) network via the STRING database, and the results were analyzed by Cytoscape software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed and displayed by utilizing the Metascape portal and clusterProfiler R package. Molecular docking was carried out by iGEMDOCK and SwissDock, and the results were visually displayed by UCSF Chimera software. RESULTS: Eighty-four active flavonoid compounds and 258 targets overlapped between flavonoid targets and glioma-related genes were achieved. PPI network revealed potential therapeutic targets, such as AKT1, EGFR, VEGFA, MAPK3, and CASP3, based on their node degree. GO and KEGG analyses showed that core targets were mainly enriched in the PI3K-Akt signaling pathway. Molecular docking simulation indicated that potential glioma-related targets-MAPK1 and HSP90AA1 were bounded more firmly with epigallocatechin-3-gallate (EGCG) than with quercetin. CONCLUSIONS: The findings of this study indicated that selected active flavonoid compounds might play therapeutic roles in glioma mainly through the PI3K-Akt signaling pathway. Moreover, EGCG had the potential antiglioma activity by targeting MAPK1 and HSP90AA1. Hindawi 2022-01-31 /pmc/articles/PMC8820855/ /pubmed/35140796 http://dx.doi.org/10.1155/2022/2198722 Text en Copyright © 2022 Taiping Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Taiping
Xiao, Yong
Wang, Zhen
Xiao, Hong
Liu, Hongyi
The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking
title The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking
title_full The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking
title_fullStr The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking
title_full_unstemmed The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking
title_short The Mechanism Study of Common Flavonoids on Antiglioma Based on Network Pharmacology and Molecular Docking
title_sort mechanism study of common flavonoids on antiglioma based on network pharmacology and molecular docking
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820855/
https://www.ncbi.nlm.nih.gov/pubmed/35140796
http://dx.doi.org/10.1155/2022/2198722
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