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Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology

BACKGROUND: The purpose of this study was to demonstrate the pharmacodynamic material basis and molecular mechanism of pilose antler (PA) in the prevention and treatment of osteoporosis (OP) by the method of network pharmacology. METHODS: First, the active components of PA were screened by BATMAN-TC...

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Autores principales: Liu, Baoshan, Wang, Aifei, Cao, Zihou, Li, Junjie, Zheng, Miao, Xu, Youjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986401/
https://www.ncbi.nlm.nih.gov/pubmed/35399830
http://dx.doi.org/10.1155/2022/5298892
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author Liu, Baoshan
Wang, Aifei
Cao, Zihou
Li, Junjie
Zheng, Miao
Xu, Youjia
author_facet Liu, Baoshan
Wang, Aifei
Cao, Zihou
Li, Junjie
Zheng, Miao
Xu, Youjia
author_sort Liu, Baoshan
collection PubMed
description BACKGROUND: The purpose of this study was to demonstrate the pharmacodynamic material basis and molecular mechanism of pilose antler (PA) in the prevention and treatment of osteoporosis (OP) by the method of network pharmacology. METHODS: First, the active components of PA were screened by BATMAN-TCM database, and the component targets were obtained from the SwissTargetPrediction online tool. Moreover, the relevant target genes of OP were obtained by searching the DisGeNET database. Second, the Venn diagram was drawn to obtain the PA-OP common targets, and the protein-protein interaction (PPI) network and drug-component-target (D-C-T) network were constructed by Cytoscape software. Finally, the GO functional annotation and KEGG pathway enrichment analysis of common targets were performed using the Metascape online tool. RESULTS: 82 common targets were identified by generating a Venn diagram. The PPI network of 82 common targets indicated that the top 5 nodal targets, including PIK3CA, MAPK1, ESR1, AKT1, and SRC, were strongly associated with other proteins. The D-C-T network suggested that the active components with high degree of connectivity include Prostaglandin E1, 17-Beta-Estradiol, Alpha-Estradiol, and Estrone. Furthermore, the GO enrichment analysis revealed that the biological process categories were dominated by response to peptide, cellular response to lipid, regulation of MAPK cascade, and so on. Additionally, the KEGG pathway analysis indicated the estrogen signaling pathway, osteoclast differentiation, and HIF-1 signaling pathway might have critical effects on the development of OP. CONCLUSION: The study shows that PA has the characteristics of multi-component, multi-target, and multi-pathway in treating osteoporosis.
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spelling pubmed-89864012022-04-07 Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology Liu, Baoshan Wang, Aifei Cao, Zihou Li, Junjie Zheng, Miao Xu, Youjia J Healthc Eng Research Article BACKGROUND: The purpose of this study was to demonstrate the pharmacodynamic material basis and molecular mechanism of pilose antler (PA) in the prevention and treatment of osteoporosis (OP) by the method of network pharmacology. METHODS: First, the active components of PA were screened by BATMAN-TCM database, and the component targets were obtained from the SwissTargetPrediction online tool. Moreover, the relevant target genes of OP were obtained by searching the DisGeNET database. Second, the Venn diagram was drawn to obtain the PA-OP common targets, and the protein-protein interaction (PPI) network and drug-component-target (D-C-T) network were constructed by Cytoscape software. Finally, the GO functional annotation and KEGG pathway enrichment analysis of common targets were performed using the Metascape online tool. RESULTS: 82 common targets were identified by generating a Venn diagram. The PPI network of 82 common targets indicated that the top 5 nodal targets, including PIK3CA, MAPK1, ESR1, AKT1, and SRC, were strongly associated with other proteins. The D-C-T network suggested that the active components with high degree of connectivity include Prostaglandin E1, 17-Beta-Estradiol, Alpha-Estradiol, and Estrone. Furthermore, the GO enrichment analysis revealed that the biological process categories were dominated by response to peptide, cellular response to lipid, regulation of MAPK cascade, and so on. Additionally, the KEGG pathway analysis indicated the estrogen signaling pathway, osteoclast differentiation, and HIF-1 signaling pathway might have critical effects on the development of OP. CONCLUSION: The study shows that PA has the characteristics of multi-component, multi-target, and multi-pathway in treating osteoporosis. Hindawi 2022-03-30 /pmc/articles/PMC8986401/ /pubmed/35399830 http://dx.doi.org/10.1155/2022/5298892 Text en Copyright © 2022 Baoshan Liu 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
Liu, Baoshan
Wang, Aifei
Cao, Zihou
Li, Junjie
Zheng, Miao
Xu, Youjia
Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology
title Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology
title_full Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology
title_fullStr Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology
title_full_unstemmed Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology
title_short Mechanism of Pilose Antler in Treatment of Osteoporosis Based on Network Pharmacology
title_sort mechanism of pilose antler in treatment of osteoporosis based on network pharmacology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986401/
https://www.ncbi.nlm.nih.gov/pubmed/35399830
http://dx.doi.org/10.1155/2022/5298892
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