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Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee

Based on network pharmacology methods, we explored the mechanism of the classic Chinese medicine formula Coix seed decoction (CSD) in treating knee osteoarthritis (KOA). We searched each single drug in the CSD in the traditional Chinese medicine systematic pharmacology database in turn to obtain inf...

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Autores principales: Qiu, Junjie, Chen, Rui, Song, Chao, Wang, Xiaoqiang, Xiang, Wei, Huang, Sanjun, Su, Qifan, Deng, Guanghui, Wu, Jiaqi, Chen, Xiaojun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403044/
https://www.ncbi.nlm.nih.gov/pubmed/37543793
http://dx.doi.org/10.1097/MD.0000000000034464
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author Qiu, Junjie
Chen, Rui
Song, Chao
Wang, Xiaoqiang
Xiang, Wei
Huang, Sanjun
Su, Qifan
Deng, Guanghui
Wu, Jiaqi
Chen, Xiaojun
author_facet Qiu, Junjie
Chen, Rui
Song, Chao
Wang, Xiaoqiang
Xiang, Wei
Huang, Sanjun
Su, Qifan
Deng, Guanghui
Wu, Jiaqi
Chen, Xiaojun
author_sort Qiu, Junjie
collection PubMed
description Based on network pharmacology methods, we explored the mechanism of the classic Chinese medicine formula Coix seed decoction (CSD) in treating knee osteoarthritis (KOA). We searched each single drug in the CSD in the traditional Chinese medicine systematic pharmacology database in turn to obtain information on the active ingredients and target proteins of the CSD, and obtain the name of the genes corresponding to the target proteins through the UniProt database. We collected KOA-related genes from DisGeNET, GeneCards, comparative toxicogenomics database, and MalaCards database. The Venny online tool identified potential therapeutic targets by intersecting CSD and KOA target genes, while gene ontology and Kyoto encyclopedia of genes and genomes analysis was performed using the Oebiotech Cloud Platform. A protein-protein interaction network was established using the String database; a “CSD-active ingredient-target gene-KOA” network plot was constructed using Cytoscape 3.9.1 software and screened for key targets and hub targets. Finally, molecular docking was performed for hub genes with high Degree values. A total of 227 effective target genes for CSD and 8816 KOA-related target genes were obtained, as well as 191 cross-target genes for CSD and KOA. We screened 37 key gene targets and identified the top 10 hub target genes in descending order of Degree value using protein-protein interaction and Cytoscape 3.9.1 software (TNF, IL-6, MMP-9, IL-1β, AKT-1, VEGFα, STAT-3, PTGS-2, IL-4, TP53). Gene ontology analysis showed that the biological process of CSD treatment of KOA mainly involves cytokine-mediated signaling pathway, negative regulation of apoptotic process, cellular response to hypoxia, cellular response to cadmium ion, response to estradiol, and extrinsic apoptotic signaling pathway in absence of ligand. Kyoto encyclopedia of genes and genomes analysis revealed major signaling pathways including Cellular senescence, TNF signaling pathway, and PI3K-Akt signaling pathway. The molecular docking results show that the core components bind well to the core targets. In conclusion, CSD may exert therapeutic effects on KOA by inhibiting pathological processes such as inflammatory response, apoptosis, cellular senescence, and oxidative stress.
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spelling pubmed-104030442023-08-05 Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee Qiu, Junjie Chen, Rui Song, Chao Wang, Xiaoqiang Xiang, Wei Huang, Sanjun Su, Qifan Deng, Guanghui Wu, Jiaqi Chen, Xiaojun Medicine (Baltimore) Research Article: Observational Study Based on network pharmacology methods, we explored the mechanism of the classic Chinese medicine formula Coix seed decoction (CSD) in treating knee osteoarthritis (KOA). We searched each single drug in the CSD in the traditional Chinese medicine systematic pharmacology database in turn to obtain information on the active ingredients and target proteins of the CSD, and obtain the name of the genes corresponding to the target proteins through the UniProt database. We collected KOA-related genes from DisGeNET, GeneCards, comparative toxicogenomics database, and MalaCards database. The Venny online tool identified potential therapeutic targets by intersecting CSD and KOA target genes, while gene ontology and Kyoto encyclopedia of genes and genomes analysis was performed using the Oebiotech Cloud Platform. A protein-protein interaction network was established using the String database; a “CSD-active ingredient-target gene-KOA” network plot was constructed using Cytoscape 3.9.1 software and screened for key targets and hub targets. Finally, molecular docking was performed for hub genes with high Degree values. A total of 227 effective target genes for CSD and 8816 KOA-related target genes were obtained, as well as 191 cross-target genes for CSD and KOA. We screened 37 key gene targets and identified the top 10 hub target genes in descending order of Degree value using protein-protein interaction and Cytoscape 3.9.1 software (TNF, IL-6, MMP-9, IL-1β, AKT-1, VEGFα, STAT-3, PTGS-2, IL-4, TP53). Gene ontology analysis showed that the biological process of CSD treatment of KOA mainly involves cytokine-mediated signaling pathway, negative regulation of apoptotic process, cellular response to hypoxia, cellular response to cadmium ion, response to estradiol, and extrinsic apoptotic signaling pathway in absence of ligand. Kyoto encyclopedia of genes and genomes analysis revealed major signaling pathways including Cellular senescence, TNF signaling pathway, and PI3K-Akt signaling pathway. The molecular docking results show that the core components bind well to the core targets. In conclusion, CSD may exert therapeutic effects on KOA by inhibiting pathological processes such as inflammatory response, apoptosis, cellular senescence, and oxidative stress. Lippincott Williams & Wilkins 2023-08-04 /pmc/articles/PMC10403044/ /pubmed/37543793 http://dx.doi.org/10.1097/MD.0000000000034464 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Research Article: Observational Study
Qiu, Junjie
Chen, Rui
Song, Chao
Wang, Xiaoqiang
Xiang, Wei
Huang, Sanjun
Su, Qifan
Deng, Guanghui
Wu, Jiaqi
Chen, Xiaojun
Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee
title Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee
title_full Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee
title_fullStr Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee
title_full_unstemmed Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee
title_short Network pharmacological analysis on the mechanism of Coix seed decoction for osteoarthritis of the knee
title_sort network pharmacological analysis on the mechanism of coix seed decoction for osteoarthritis of the knee
topic Research Article: Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403044/
https://www.ncbi.nlm.nih.gov/pubmed/37543793
http://dx.doi.org/10.1097/MD.0000000000034464
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