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A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair
BACKGROUND: Millions of people are suffering from chronic pain conditions, such as headache, arthritis, cancer. Apart from western medicines, traditional Chinese medicines are also well accepted for pain management, especially in Asian countries. Yuanhu-Baizhi herb pair (YB) is a typical herb pair a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501664/ https://www.ncbi.nlm.nih.gov/pubmed/32948176 http://dx.doi.org/10.1186/s12906-020-03078-0 |
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author | Mi, Bobin Li, Qiushi Li, Tong Marshall, Jessica Sai, Jiayang |
author_facet | Mi, Bobin Li, Qiushi Li, Tong Marshall, Jessica Sai, Jiayang |
author_sort | Mi, Bobin |
collection | PubMed |
description | BACKGROUND: Millions of people are suffering from chronic pain conditions, such as headache, arthritis, cancer. Apart from western medicines, traditional Chinese medicines are also well accepted for pain management, especially in Asian countries. Yuanhu-Baizhi herb pair (YB) is a typical herb pair applied to the treatment of stomach pain, hypochondriac pain, headache, and dysmenorrhea, due to its effects on analgesia and sedation. This study is to identify potentially active compounds and the underlying mechanisms of YB in the treatment of pain. METHODS: Compounds in YB were collected from 3 online databases and then screened by bioavailability and drug likeness parameters. Swiss target prediction was applied to obtain targets information of the active compounds. Pain-related genes were conducted for Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Protein-protein interaction (PPI) networks of the genes were constructed using Cytoscape software. In addition, the hub genes were screened using maximal clique centrality (MCC) algorithm. RESULTS: In total, 31 compounds from Yuanhu were screened out with 35 putative target genes, while 26 compounds in Baizhi with 43 target genes were discovered. Hence, 78 potential target genes of YB were selected for further study. After overlap analysis of the 78 genes of YB and 2408 pain-associated genes, we finally achieved 34 YB-pain target genes, as well as 10 hub genes and 23 core compounds. Go enrichment and KEGG pathway analysis indicated that YB had a strong integration with neuro system, which might significantly contribute to antinociceptive effect. CONCLUSION: Our data provide deep understanding of the pharmacological mechanisms of YB in attenuating pain. The discovery shed new light on the development of active compounds of YB for the treatment of pain. |
format | Online Article Text |
id | pubmed-7501664 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75016642020-09-22 A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair Mi, Bobin Li, Qiushi Li, Tong Marshall, Jessica Sai, Jiayang BMC Complement Med Ther Research Article BACKGROUND: Millions of people are suffering from chronic pain conditions, such as headache, arthritis, cancer. Apart from western medicines, traditional Chinese medicines are also well accepted for pain management, especially in Asian countries. Yuanhu-Baizhi herb pair (YB) is a typical herb pair applied to the treatment of stomach pain, hypochondriac pain, headache, and dysmenorrhea, due to its effects on analgesia and sedation. This study is to identify potentially active compounds and the underlying mechanisms of YB in the treatment of pain. METHODS: Compounds in YB were collected from 3 online databases and then screened by bioavailability and drug likeness parameters. Swiss target prediction was applied to obtain targets information of the active compounds. Pain-related genes were conducted for Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. Protein-protein interaction (PPI) networks of the genes were constructed using Cytoscape software. In addition, the hub genes were screened using maximal clique centrality (MCC) algorithm. RESULTS: In total, 31 compounds from Yuanhu were screened out with 35 putative target genes, while 26 compounds in Baizhi with 43 target genes were discovered. Hence, 78 potential target genes of YB were selected for further study. After overlap analysis of the 78 genes of YB and 2408 pain-associated genes, we finally achieved 34 YB-pain target genes, as well as 10 hub genes and 23 core compounds. Go enrichment and KEGG pathway analysis indicated that YB had a strong integration with neuro system, which might significantly contribute to antinociceptive effect. CONCLUSION: Our data provide deep understanding of the pharmacological mechanisms of YB in attenuating pain. The discovery shed new light on the development of active compounds of YB for the treatment of pain. BioMed Central 2020-09-18 /pmc/articles/PMC7501664/ /pubmed/32948176 http://dx.doi.org/10.1186/s12906-020-03078-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mi, Bobin Li, Qiushi Li, Tong Marshall, Jessica Sai, Jiayang A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair |
title | A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair |
title_full | A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair |
title_fullStr | A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair |
title_full_unstemmed | A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair |
title_short | A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair |
title_sort | network pharmacology study on analgesic mechanism of yuanhu-baizhi herb pair |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7501664/ https://www.ncbi.nlm.nih.gov/pubmed/32948176 http://dx.doi.org/10.1186/s12906-020-03078-0 |
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