Cargando…

Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme

Glioblastoma multiforme (GBM) has a poor prognosis and its recurrence and mortality rates are high. At present, there is no effective clinical method to control its progression and recurrence. Traditional Chinese Medicine has a high status not only in China, but also in the world. Certain drugs are...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Wangrui, Xu, Wenhao, Li, Chuanyu, Xu, Junfei, Huang, Ke, Hu, Renyue, Huang, Haineng, Liu, Xiaojuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681198/
https://www.ncbi.nlm.nih.gov/pubmed/33240424
http://dx.doi.org/10.3892/ol.2020.12279
_version_ 1783612590067286016
author Liu, Wangrui
Xu, Wenhao
Li, Chuanyu
Xu, Junfei
Huang, Ke
Hu, Renyue
Huang, Haineng
Liu, Xiaojuan
author_facet Liu, Wangrui
Xu, Wenhao
Li, Chuanyu
Xu, Junfei
Huang, Ke
Hu, Renyue
Huang, Haineng
Liu, Xiaojuan
author_sort Liu, Wangrui
collection PubMed
description Glioblastoma multiforme (GBM) has a poor prognosis and its recurrence and mortality rates are high. At present, there is no effective clinical method to control its progression and recurrence. Traditional Chinese Medicine has a high status not only in China, but also in the world. Certain drugs are also used in the clinical treatment of tumor diseases. In clinical practice, Huang-Lian-Tang (HLT) has proven efficacy in treating brain diseases and preventing tumor recurrence. However, the mechanisms of action have remained elusive. The present study explored the potential mechanisms of HLT in the treatment of gliomas based on network pharmacology. First, information on the composition of HLT was obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the composition and targets of the chemical substances contained in the herbs were analyzed. Subsequently, a pharmacological interaction network for HLT was built. Furthermore, the expressed genes of patients with GBM were obtained from Gene Expression Omnibus database and screened. A protein-protein interaction network was then constructed for both sets of data and they were combined with a topology method for analysis. Finally, the screened genes were subjected to enrichment analysis and pathway analysis. A total of 386 candidate targets and 7 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were screened, which were mainly associated with amino acid metabolism. Gene Ontology enrichment analysis and KEGG signal pathway analysis indicated that these targets are involved in anti-apoptosis, anti-oxidative stress, multicellular biological processes and other physiological and pathological processes related to the occurrence and development of GBM. In conclusion, the present results indicated that the mechanisms of action of HLT against GBM involve multiple targets and signaling pathways that are related to tumorigenesis and progression. The present study not only provided a novel theoretical basis for Traditional Chinese Medicine to treat tumors but also novel ideas for the treatment of GBM.
format Online
Article
Text
id pubmed-7681198
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-76811982020-11-24 Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme Liu, Wangrui Xu, Wenhao Li, Chuanyu Xu, Junfei Huang, Ke Hu, Renyue Huang, Haineng Liu, Xiaojuan Oncol Lett Articles Glioblastoma multiforme (GBM) has a poor prognosis and its recurrence and mortality rates are high. At present, there is no effective clinical method to control its progression and recurrence. Traditional Chinese Medicine has a high status not only in China, but also in the world. Certain drugs are also used in the clinical treatment of tumor diseases. In clinical practice, Huang-Lian-Tang (HLT) has proven efficacy in treating brain diseases and preventing tumor recurrence. However, the mechanisms of action have remained elusive. The present study explored the potential mechanisms of HLT in the treatment of gliomas based on network pharmacology. First, information on the composition of HLT was obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the composition and targets of the chemical substances contained in the herbs were analyzed. Subsequently, a pharmacological interaction network for HLT was built. Furthermore, the expressed genes of patients with GBM were obtained from Gene Expression Omnibus database and screened. A protein-protein interaction network was then constructed for both sets of data and they were combined with a topology method for analysis. Finally, the screened genes were subjected to enrichment analysis and pathway analysis. A total of 386 candidate targets and 7 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were screened, which were mainly associated with amino acid metabolism. Gene Ontology enrichment analysis and KEGG signal pathway analysis indicated that these targets are involved in anti-apoptosis, anti-oxidative stress, multicellular biological processes and other physiological and pathological processes related to the occurrence and development of GBM. In conclusion, the present results indicated that the mechanisms of action of HLT against GBM involve multiple targets and signaling pathways that are related to tumorigenesis and progression. The present study not only provided a novel theoretical basis for Traditional Chinese Medicine to treat tumors but also novel ideas for the treatment of GBM. D.A. Spandidos 2021-01 2020-11-06 /pmc/articles/PMC7681198/ /pubmed/33240424 http://dx.doi.org/10.3892/ol.2020.12279 Text en Copyright: © Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Liu, Wangrui
Xu, Wenhao
Li, Chuanyu
Xu, Junfei
Huang, Ke
Hu, Renyue
Huang, Haineng
Liu, Xiaojuan
Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme
title Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme
title_full Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme
title_fullStr Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme
title_full_unstemmed Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme
title_short Network pharmacological systems study of Huang-Lian-Tang in the treatment of glioblastoma multiforme
title_sort network pharmacological systems study of huang-lian-tang in the treatment of glioblastoma multiforme
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681198/
https://www.ncbi.nlm.nih.gov/pubmed/33240424
http://dx.doi.org/10.3892/ol.2020.12279
work_keys_str_mv AT liuwangrui networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT xuwenhao networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT lichuanyu networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT xujunfei networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT huangke networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT hurenyue networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT huanghaineng networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme
AT liuxiaojuan networkpharmacologicalsystemsstudyofhuangliantanginthetreatmentofglioblastomamultiforme