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A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome
BACKGROUND: Polycystic ovary syndrome (PCOS) significantly affects women’s health and well-being. To explore the pharmacological basis of the Erxian decoction (EXD) action in PCOS therapy, a network interaction analysis was conducted at the molecular level. METHODS: The active elements of EXD were i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114271/ https://www.ncbi.nlm.nih.gov/pubmed/30181771 http://dx.doi.org/10.1186/s13020-018-0201-1 |
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author | Liu, Lihong Du, Bo Zhang, Haiying Guo, Xiaofei Zhou, Zheng Xiu, Aihui Liu, Chang Su, Shiyu Ai, Hao |
author_facet | Liu, Lihong Du, Bo Zhang, Haiying Guo, Xiaofei Zhou, Zheng Xiu, Aihui Liu, Chang Su, Shiyu Ai, Hao |
author_sort | Liu, Lihong |
collection | PubMed |
description | BACKGROUND: Polycystic ovary syndrome (PCOS) significantly affects women’s health and well-being. To explore the pharmacological basis of the Erxian decoction (EXD) action in PCOS therapy, a network interaction analysis was conducted at the molecular level. METHODS: The active elements of EXD were identified according to the oral bioavailability and drug-likeness filters from three databases: traditional Chinese medicine system pharmacology analysis platform, TCM@taiwan and TCMID, and their potential targets were also identified. Genes associated with PCOS and established protein–protein interaction networks were mined from the NCBI database. Finally, significant pathways and functions of these networks were identified using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses to determine the mechanism of action of EXD. RESULTS: Seventy active compounds were obtained from 981 ingredients present in the EXD decoction, corresponding to 247 targets. In addition, 262 genes were found to be closely related with PCOS, of which 50 overlapped with EXD and were thus considered therapeutically relevant. Pathway enrichment analysis identified PI3k-Akt, insulin resistance, Toll-like receptor, MAPK and AGE-RAGE from a total of 15 significant pathways in PCOS and its treatment. CONCLUSIONS: EXD can effectively improve the symptoms of PCOS and our systemic pharmacological analysis lays the experimental foundation for further clinical applications of EXD. |
format | Online Article Text |
id | pubmed-6114271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61142712018-09-04 A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome Liu, Lihong Du, Bo Zhang, Haiying Guo, Xiaofei Zhou, Zheng Xiu, Aihui Liu, Chang Su, Shiyu Ai, Hao Chin Med Research BACKGROUND: Polycystic ovary syndrome (PCOS) significantly affects women’s health and well-being. To explore the pharmacological basis of the Erxian decoction (EXD) action in PCOS therapy, a network interaction analysis was conducted at the molecular level. METHODS: The active elements of EXD were identified according to the oral bioavailability and drug-likeness filters from three databases: traditional Chinese medicine system pharmacology analysis platform, TCM@taiwan and TCMID, and their potential targets were also identified. Genes associated with PCOS and established protein–protein interaction networks were mined from the NCBI database. Finally, significant pathways and functions of these networks were identified using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses to determine the mechanism of action of EXD. RESULTS: Seventy active compounds were obtained from 981 ingredients present in the EXD decoction, corresponding to 247 targets. In addition, 262 genes were found to be closely related with PCOS, of which 50 overlapped with EXD and were thus considered therapeutically relevant. Pathway enrichment analysis identified PI3k-Akt, insulin resistance, Toll-like receptor, MAPK and AGE-RAGE from a total of 15 significant pathways in PCOS and its treatment. CONCLUSIONS: EXD can effectively improve the symptoms of PCOS and our systemic pharmacological analysis lays the experimental foundation for further clinical applications of EXD. BioMed Central 2018-08-29 /pmc/articles/PMC6114271/ /pubmed/30181771 http://dx.doi.org/10.1186/s13020-018-0201-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Liu, Lihong Du, Bo Zhang, Haiying Guo, Xiaofei Zhou, Zheng Xiu, Aihui Liu, Chang Su, Shiyu Ai, Hao A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome |
title | A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome |
title_full | A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome |
title_fullStr | A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome |
title_full_unstemmed | A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome |
title_short | A network pharmacology approach to explore the mechanisms of Erxian decoction in polycystic ovary syndrome |
title_sort | network pharmacology approach to explore the mechanisms of erxian decoction in polycystic ovary syndrome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114271/ https://www.ncbi.nlm.nih.gov/pubmed/30181771 http://dx.doi.org/10.1186/s13020-018-0201-1 |
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