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Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment

[Image: see text] Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease, severely reducing the cognitive level and life quality of patients. Byu dMar 25 (BM25) has been proved to have a therapeutic effect on AD. However, the pharmacological mechanism is still unclear. The...

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Autores principales: Du, Yikuan, Guo, Jinyan, Zhou, Yuqi, Yan, Simin, Xu, Bijun, Wang, Yuni, Lu, Duoduo, Ma, Zhendong, Chen, Qianwen, Tang, Qibin, Zhang, Weichui, Zhu, Jinfeng, Huang, Yixing, Yang, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357573/
https://www.ncbi.nlm.nih.gov/pubmed/37483184
http://dx.doi.org/10.1021/acsomega.3c01683
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author Du, Yikuan
Guo, Jinyan
Zhou, Yuqi
Yan, Simin
Xu, Bijun
Wang, Yuni
Lu, Duoduo
Ma, Zhendong
Chen, Qianwen
Tang, Qibin
Zhang, Weichui
Zhu, Jinfeng
Huang, Yixing
Yang, Chun
author_facet Du, Yikuan
Guo, Jinyan
Zhou, Yuqi
Yan, Simin
Xu, Bijun
Wang, Yuni
Lu, Duoduo
Ma, Zhendong
Chen, Qianwen
Tang, Qibin
Zhang, Weichui
Zhu, Jinfeng
Huang, Yixing
Yang, Chun
author_sort Du, Yikuan
collection PubMed
description [Image: see text] Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease, severely reducing the cognitive level and life quality of patients. Byu dMar 25 (BM25) has been proved to have a therapeutic effect on AD. However, the pharmacological mechanism is still unclear. Therefore, this study aims to reveal the potential mechanism of BM25 affecting AD from the perspective of network pharmacology and experimental validation. Methods: The potential active ingredients of BM25 were obtained from the TCMSP database and literature. Possible targets were predicted using SwissTargetPrediction tools. AD-related genes were identified by using GeneCards, OMIM, DisGeNET, and Drugbank databases. The candidate genes were obtained by extraction of the intersection network. Additionally, the “drug–target–disease” network was constructed by Cytoscape 3.7.2 for visualization. The PPI network was constructed by the STRING database, and the core network modules were filtered by Cytoscape 3.7.2. Enrichment analysis of GO and KEGG was carried out in the Metascape platform. Ledock software was used to dock the critical components with the core target. Furthermore, protein levels were evaluated by immunohistochemistry. Results: In this study, 112 active components, 1112 disease candidate genes, 3084 GO functions, and 277 KEGG pathways were obtained. Molecular docking showed that the effective components of BM25 in treating AD were β-asarone and hydroxysafflor yellow A. The most important targets were APP, PIK3R1, and PIK3CA. Enrichment analysis indicated that the Golgi genetic regulation, peroxidase activity regulation, phosphatidylinositol 3-kinase complex IA, 5-hydroxytryptamine receptor complexes, cancer pathways, and neuroactive ligand–receptor interactions played vital roles against AD. The rat experiment verified that BM25 affected PI3K-Akt pathway activation in AD. Conclusions: This study reveals the mechanism of BM25 in treating AD with network pharmacology, which provides a foundation for further study on the molecular mechanism of AD treatment.
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spelling pubmed-103575732023-07-21 Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment Du, Yikuan Guo, Jinyan Zhou, Yuqi Yan, Simin Xu, Bijun Wang, Yuni Lu, Duoduo Ma, Zhendong Chen, Qianwen Tang, Qibin Zhang, Weichui Zhu, Jinfeng Huang, Yixing Yang, Chun ACS Omega [Image: see text] Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease, severely reducing the cognitive level and life quality of patients. Byu dMar 25 (BM25) has been proved to have a therapeutic effect on AD. However, the pharmacological mechanism is still unclear. Therefore, this study aims to reveal the potential mechanism of BM25 affecting AD from the perspective of network pharmacology and experimental validation. Methods: The potential active ingredients of BM25 were obtained from the TCMSP database and literature. Possible targets were predicted using SwissTargetPrediction tools. AD-related genes were identified by using GeneCards, OMIM, DisGeNET, and Drugbank databases. The candidate genes were obtained by extraction of the intersection network. Additionally, the “drug–target–disease” network was constructed by Cytoscape 3.7.2 for visualization. The PPI network was constructed by the STRING database, and the core network modules were filtered by Cytoscape 3.7.2. Enrichment analysis of GO and KEGG was carried out in the Metascape platform. Ledock software was used to dock the critical components with the core target. Furthermore, protein levels were evaluated by immunohistochemistry. Results: In this study, 112 active components, 1112 disease candidate genes, 3084 GO functions, and 277 KEGG pathways were obtained. Molecular docking showed that the effective components of BM25 in treating AD were β-asarone and hydroxysafflor yellow A. The most important targets were APP, PIK3R1, and PIK3CA. Enrichment analysis indicated that the Golgi genetic regulation, peroxidase activity regulation, phosphatidylinositol 3-kinase complex IA, 5-hydroxytryptamine receptor complexes, cancer pathways, and neuroactive ligand–receptor interactions played vital roles against AD. The rat experiment verified that BM25 affected PI3K-Akt pathway activation in AD. Conclusions: This study reveals the mechanism of BM25 in treating AD with network pharmacology, which provides a foundation for further study on the molecular mechanism of AD treatment. American Chemical Society 2023-06-13 /pmc/articles/PMC10357573/ /pubmed/37483184 http://dx.doi.org/10.1021/acsomega.3c01683 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Du, Yikuan
Guo, Jinyan
Zhou, Yuqi
Yan, Simin
Xu, Bijun
Wang, Yuni
Lu, Duoduo
Ma, Zhendong
Chen, Qianwen
Tang, Qibin
Zhang, Weichui
Zhu, Jinfeng
Huang, Yixing
Yang, Chun
Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment
title Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment
title_full Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment
title_fullStr Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment
title_full_unstemmed Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment
title_short Revealing the Mechanisms of Byu dMar 25 in the Treatment of Alzheimer’s Disease through Network Pharmacology, Molecular Docking, and In Vivo Experiment
title_sort revealing the mechanisms of byu dmar 25 in the treatment of alzheimer’s disease through network pharmacology, molecular docking, and in vivo experiment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10357573/
https://www.ncbi.nlm.nih.gov/pubmed/37483184
http://dx.doi.org/10.1021/acsomega.3c01683
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