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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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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. |
format | Online Article Text |
id | pubmed-10357573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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