Cargando…

Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach

Epimedium has gained widespread clinical application in Traditional Chinese Medicine, with the functions of promoting bone reproduction, regulating cell cycle and inhibiting osteoclastic activity. However, its precise cellular pharmacological therapeutic mechanism on osteoporosis (OP) remains elusiv...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Keliang, Han, Linjing, Zhao, Ying, Xiao, Qinghua, Zhang, Zhen, Lin, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371495/
https://www.ncbi.nlm.nih.gov/pubmed/35960074
http://dx.doi.org/10.1097/MD.0000000000029844
_version_ 1784767156718665728
author Wu, Keliang
Han, Linjing
Zhao, Ying
Xiao, Qinghua
Zhang, Zhen
Lin, Xiaosheng
author_facet Wu, Keliang
Han, Linjing
Zhao, Ying
Xiao, Qinghua
Zhang, Zhen
Lin, Xiaosheng
author_sort Wu, Keliang
collection PubMed
description Epimedium has gained widespread clinical application in Traditional Chinese Medicine, with the functions of promoting bone reproduction, regulating cell cycle and inhibiting osteoclastic activity. However, its precise cellular pharmacological therapeutic mechanism on osteoporosis (OP) remains elusive. This study aims to elucidate the molecular mechanism of epimedium in the treatment of OP based on system bioinformatic approach. Predicted targets of epimedium were collected from TCMSP, BATMAN-TCM and ETCM databases. Differentially expressed mRNAs of OP patients were obtained from Gene Expression Omnibus database by performing Limma package of R software. Epimedium-OP common targets were obtained by Venn diagram package for further analysis. The protein-protein interaction network was constructed using Cytoscape software. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were carried out by using clusterProfiler package. Molecular docking analysis was conducted by AutoDock 4.2 software to validate the binding affinity between epimedium and top 3 proteins based on the result of protein-protein interaction. A total of 241 unique identified epimedium targets were screened from databases, of which 62 overlapped with the targets of OP and were considered potential therapeutic targets. The results of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that these targets were positive regulation of cell cycle, cellular response to oxidative stress and positive regulation of cell cycle process as well as cellular senescence, FoxO, PI3K-Akt, and NF-kappa B signaling pathways. Molecular docking showed that epimedium have a good binding activity with key targets. Our study demonstrated the multitarget and multi-pathway characteristics of epimedium on OP, which elucidates the potential mechanisms of epimedium against OP and provides theoretical basis for further drug development.
format Online
Article
Text
id pubmed-9371495
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-93714952022-08-16 Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach Wu, Keliang Han, Linjing Zhao, Ying Xiao, Qinghua Zhang, Zhen Lin, Xiaosheng Medicine (Baltimore) Research Article Epimedium has gained widespread clinical application in Traditional Chinese Medicine, with the functions of promoting bone reproduction, regulating cell cycle and inhibiting osteoclastic activity. However, its precise cellular pharmacological therapeutic mechanism on osteoporosis (OP) remains elusive. This study aims to elucidate the molecular mechanism of epimedium in the treatment of OP based on system bioinformatic approach. Predicted targets of epimedium were collected from TCMSP, BATMAN-TCM and ETCM databases. Differentially expressed mRNAs of OP patients were obtained from Gene Expression Omnibus database by performing Limma package of R software. Epimedium-OP common targets were obtained by Venn diagram package for further analysis. The protein-protein interaction network was constructed using Cytoscape software. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were carried out by using clusterProfiler package. Molecular docking analysis was conducted by AutoDock 4.2 software to validate the binding affinity between epimedium and top 3 proteins based on the result of protein-protein interaction. A total of 241 unique identified epimedium targets were screened from databases, of which 62 overlapped with the targets of OP and were considered potential therapeutic targets. The results of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that these targets were positive regulation of cell cycle, cellular response to oxidative stress and positive regulation of cell cycle process as well as cellular senescence, FoxO, PI3K-Akt, and NF-kappa B signaling pathways. Molecular docking showed that epimedium have a good binding activity with key targets. Our study demonstrated the multitarget and multi-pathway characteristics of epimedium on OP, which elucidates the potential mechanisms of epimedium against OP and provides theoretical basis for further drug development. Lippincott Williams & Wilkins 2022-08-12 /pmc/articles/PMC9371495/ /pubmed/35960074 http://dx.doi.org/10.1097/MD.0000000000029844 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wu, Keliang
Han, Linjing
Zhao, Ying
Xiao, Qinghua
Zhang, Zhen
Lin, Xiaosheng
Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
title Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
title_full Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
title_fullStr Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
title_full_unstemmed Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
title_short Deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
title_sort deciphering the molecular mechanism underlying the effects of epimedium on osteoporosis through system bioinformatic approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371495/
https://www.ncbi.nlm.nih.gov/pubmed/35960074
http://dx.doi.org/10.1097/MD.0000000000029844
work_keys_str_mv AT wukeliang decipheringthemolecularmechanismunderlyingtheeffectsofepimediumonosteoporosisthroughsystembioinformaticapproach
AT hanlinjing decipheringthemolecularmechanismunderlyingtheeffectsofepimediumonosteoporosisthroughsystembioinformaticapproach
AT zhaoying decipheringthemolecularmechanismunderlyingtheeffectsofepimediumonosteoporosisthroughsystembioinformaticapproach
AT xiaoqinghua decipheringthemolecularmechanismunderlyingtheeffectsofepimediumonosteoporosisthroughsystembioinformaticapproach
AT zhangzhen decipheringthemolecularmechanismunderlyingtheeffectsofepimediumonosteoporosisthroughsystembioinformaticapproach
AT linxiaosheng decipheringthemolecularmechanismunderlyingtheeffectsofepimediumonosteoporosisthroughsystembioinformaticapproach