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Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis
Eucommia ulmoides Oliver is one of the commonly used traditional Chinese medicines for the treatment of osteoporosis, and iridoid glycosides are considered to be its active ingredients against osteoporosis. This study aims to clarify the chemical components and molecular mechanism of iridoid glycosi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076851/ https://www.ncbi.nlm.nih.gov/pubmed/35523810 http://dx.doi.org/10.1038/s41598-022-10769-w |
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author | Wang, Ting Fan, Liming Feng, Shuai Ding, Xinli An, Xinxin Chen, Jiahuan Wang, Minjuan Zhai, Xifeng Li, Yang |
author_facet | Wang, Ting Fan, Liming Feng, Shuai Ding, Xinli An, Xinxin Chen, Jiahuan Wang, Minjuan Zhai, Xifeng Li, Yang |
author_sort | Wang, Ting |
collection | PubMed |
description | Eucommia ulmoides Oliver is one of the commonly used traditional Chinese medicines for the treatment of osteoporosis, and iridoid glycosides are considered to be its active ingredients against osteoporosis. This study aims to clarify the chemical components and molecular mechanism of iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis by integrating network pharmacology and molecular simulations. The active iridoid glycosides and their potential targets were retrieved from text mining as well as Swiss Target Prediction, TargetNet database, and STITCH databases. At the same time, DisGeNET, GeneCards, and Therapeutic Target Database were used to search for the targets associated with osteoporosis. A protein–protein interaction network was built to analyze the interactions between targets. Then, DAVID bioinformatics resources and R 3.6.3 project were used to carry out Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Moreover, interactions between active compounds and potential targets were investigated through molecular docking, molecular dynamic simulation, and binding free energy analysis. The results showed that a total of 12 iridoid glycosides were identified as the active iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis. Among them, aucubin, reptoside, geniposide and ajugoside were the core compounds. The enrichment analysis suggested iridoid glycosides of Eucommia ulmoides Oliver prevented osteoporosis mainly through PI3K-Akt signaling pathway, MAPK signaling pathway and Estrogen signaling pathway. Molecular docking results indicated that the 12 iridoid glycosides had good binding ability with 25 hub target proteins, which played a critical role in the treatment of osteoporosis. Molecular dynamic and molecular mechanics Poisson–Boltzmann surface area results revealed these compounds showed stable binding to the active sites of the target proteins during the simulations. In conclusion, our research demonstrated that iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis involved a multi-component, multi-target and multi-pathway mechanism, which provided new suggestions and theoretical support for treating osteoporosis. |
format | Online Article Text |
id | pubmed-9076851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90768512022-05-08 Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis Wang, Ting Fan, Liming Feng, Shuai Ding, Xinli An, Xinxin Chen, Jiahuan Wang, Minjuan Zhai, Xifeng Li, Yang Sci Rep Article Eucommia ulmoides Oliver is one of the commonly used traditional Chinese medicines for the treatment of osteoporosis, and iridoid glycosides are considered to be its active ingredients against osteoporosis. This study aims to clarify the chemical components and molecular mechanism of iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis by integrating network pharmacology and molecular simulations. The active iridoid glycosides and their potential targets were retrieved from text mining as well as Swiss Target Prediction, TargetNet database, and STITCH databases. At the same time, DisGeNET, GeneCards, and Therapeutic Target Database were used to search for the targets associated with osteoporosis. A protein–protein interaction network was built to analyze the interactions between targets. Then, DAVID bioinformatics resources and R 3.6.3 project were used to carry out Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis. Moreover, interactions between active compounds and potential targets were investigated through molecular docking, molecular dynamic simulation, and binding free energy analysis. The results showed that a total of 12 iridoid glycosides were identified as the active iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis. Among them, aucubin, reptoside, geniposide and ajugoside were the core compounds. The enrichment analysis suggested iridoid glycosides of Eucommia ulmoides Oliver prevented osteoporosis mainly through PI3K-Akt signaling pathway, MAPK signaling pathway and Estrogen signaling pathway. Molecular docking results indicated that the 12 iridoid glycosides had good binding ability with 25 hub target proteins, which played a critical role in the treatment of osteoporosis. Molecular dynamic and molecular mechanics Poisson–Boltzmann surface area results revealed these compounds showed stable binding to the active sites of the target proteins during the simulations. In conclusion, our research demonstrated that iridoid glycosides of Eucommia ulmoides Oliver in the treatment of osteoporosis involved a multi-component, multi-target and multi-pathway mechanism, which provided new suggestions and theoretical support for treating osteoporosis. Nature Publishing Group UK 2022-05-06 /pmc/articles/PMC9076851/ /pubmed/35523810 http://dx.doi.org/10.1038/s41598-022-10769-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Ting Fan, Liming Feng, Shuai Ding, Xinli An, Xinxin Chen, Jiahuan Wang, Minjuan Zhai, Xifeng Li, Yang Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis |
title | Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis |
title_full | Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis |
title_fullStr | Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis |
title_full_unstemmed | Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis |
title_short | Network pharmacology of iridoid glycosides from Eucommia ulmoides Oliver against osteoporosis |
title_sort | network pharmacology of iridoid glycosides from eucommia ulmoides oliver against osteoporosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076851/ https://www.ncbi.nlm.nih.gov/pubmed/35523810 http://dx.doi.org/10.1038/s41598-022-10769-w |
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