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Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model

BACKGROUND: Using network pharmacology and molecular docking, this study aimed to explore the active pharmaceutical ingredients (APIs) and molecular mechanism of Qinshi Simiao San (QSSMS) in the treatment of chronic prostatitis (CP) and verify our findings in the rat model. METHODS: The APIs of QSSM...

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Autores principales: Li, Chenxi, Xu, Lei, Lin, Xuyao, Li, Qingrui, Liu, Shaoming, Fan, Lipeng, Fu, Wei, Liu, Feiyu, Yuan, Zhuojun, Qin, Guozheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769824/
https://www.ncbi.nlm.nih.gov/pubmed/35069766
http://dx.doi.org/10.1155/2022/7098121
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author Li, Chenxi
Xu, Lei
Lin, Xuyao
Li, Qingrui
Liu, Shaoming
Fan, Lipeng
Fu, Wei
Liu, Feiyu
Yuan, Zhuojun
Qin, Guozheng
author_facet Li, Chenxi
Xu, Lei
Lin, Xuyao
Li, Qingrui
Liu, Shaoming
Fan, Lipeng
Fu, Wei
Liu, Feiyu
Yuan, Zhuojun
Qin, Guozheng
author_sort Li, Chenxi
collection PubMed
description BACKGROUND: Using network pharmacology and molecular docking, this study aimed to explore the active pharmaceutical ingredients (APIs) and molecular mechanism of Qinshi Simiao San (QSSMS) in the treatment of chronic prostatitis (CP) and verify our findings in the rat model. METHODS: The APIs of QSSMS and the common targets of QSSMS and CP were screened from the TCMSP database. The STRING database and Cytoscape software were used to construct the network graph. The enriched GO and KEGG pathways were displayed by David software and R software. Molecular docking was performed to visualize key components and target genes. In addition, the rats model of CP was established to verify the molecular mechanism of QSSMS. RESULTS: Network pharmacology showed that the APIs of QSSMS mainly included quercetin, kaempferol, formononetin, isorhamnetin, and calycosin. QSSMS alleviated CP mainly through the negative regulation of the apoptotic process, oxidation-reduction process, inflammatory response, and immune response. Molecular docking showed that the APIs could bind to the corresponding targets. QSSMS repaired the pathological damage of prostate tissue, upregulated the expression of oxidative stress scavenging enzymes CAT and SOD, and downregulated the peroxidative product MDA, inflammatory factors IL-1β, IL-6, TNF-α, COX-2, PGE2, and NGF, and immune factors IgG and SIgA. CONCLUSION: The APIs in QSSMS may inhibit inflammation in the rat CP model by regulating immune and oxidative stress.
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spelling pubmed-87698242022-01-20 Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model Li, Chenxi Xu, Lei Lin, Xuyao Li, Qingrui Liu, Shaoming Fan, Lipeng Fu, Wei Liu, Feiyu Yuan, Zhuojun Qin, Guozheng Evid Based Complement Alternat Med Research Article BACKGROUND: Using network pharmacology and molecular docking, this study aimed to explore the active pharmaceutical ingredients (APIs) and molecular mechanism of Qinshi Simiao San (QSSMS) in the treatment of chronic prostatitis (CP) and verify our findings in the rat model. METHODS: The APIs of QSSMS and the common targets of QSSMS and CP were screened from the TCMSP database. The STRING database and Cytoscape software were used to construct the network graph. The enriched GO and KEGG pathways were displayed by David software and R software. Molecular docking was performed to visualize key components and target genes. In addition, the rats model of CP was established to verify the molecular mechanism of QSSMS. RESULTS: Network pharmacology showed that the APIs of QSSMS mainly included quercetin, kaempferol, formononetin, isorhamnetin, and calycosin. QSSMS alleviated CP mainly through the negative regulation of the apoptotic process, oxidation-reduction process, inflammatory response, and immune response. Molecular docking showed that the APIs could bind to the corresponding targets. QSSMS repaired the pathological damage of prostate tissue, upregulated the expression of oxidative stress scavenging enzymes CAT and SOD, and downregulated the peroxidative product MDA, inflammatory factors IL-1β, IL-6, TNF-α, COX-2, PGE2, and NGF, and immune factors IgG and SIgA. CONCLUSION: The APIs in QSSMS may inhibit inflammation in the rat CP model by regulating immune and oxidative stress. Hindawi 2022-01-12 /pmc/articles/PMC8769824/ /pubmed/35069766 http://dx.doi.org/10.1155/2022/7098121 Text en Copyright © 2022 Chenxi Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Chenxi
Xu, Lei
Lin, Xuyao
Li, Qingrui
Liu, Shaoming
Fan, Lipeng
Fu, Wei
Liu, Feiyu
Yuan, Zhuojun
Qin, Guozheng
Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model
title Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model
title_full Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model
title_fullStr Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model
title_full_unstemmed Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model
title_short Network Pharmacology and Molecular Docking Verify the Mechanism of Qinshi Simiao San in Treating Chronic Prostatitis in the Rat Model
title_sort network pharmacology and molecular docking verify the mechanism of qinshi simiao san in treating chronic prostatitis in the rat model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769824/
https://www.ncbi.nlm.nih.gov/pubmed/35069766
http://dx.doi.org/10.1155/2022/7098121
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