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Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach
Mpox (MPX) has escalated into a public health emergency of international concern, necessitating urgent prophylactic and therapeutic measures. The primary goal of this investigation was to systematically extract Wan Quan’s expertise in treating smallpox, as documented in Exclusive Methods for Treatin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508546/ https://www.ncbi.nlm.nih.gov/pubmed/37713907 http://dx.doi.org/10.1097/MD.0000000000035116 |
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author | Li, Linyang Xu, Chengchen Guo, Yinling Wang, Haozhong |
author_facet | Li, Linyang Xu, Chengchen Guo, Yinling Wang, Haozhong |
author_sort | Li, Linyang |
collection | PubMed |
description | Mpox (MPX) has escalated into a public health emergency of international concern, necessitating urgent prophylactic and therapeutic measures. The primary goal of this investigation was to systematically extract Wan Quan’s expertise in treating smallpox, as documented in Exclusive Methods for Treating Pox (Dou Zhen Xin Fa in Chinese), with the aim of identifying potential prescriptions, herbs, and components for alternative MPX therapies or drugs. This research utilized data mining to identify high-frequency Chinese Medicines (CMs), high-frequency CM-pairs, and CM compatibility rules. Network pharmacology, molecular docking, and molecular dynamic simulation were employed to reveal the potential molecular mechanisms of the core CM-pair. 119 prescriptions were extracted from Exclusive Methods for Treating Pox. We identified 25 high-frequency CMs and 23 high-frequency CM pairs among these prescriptions. Combined association rule mining analysis, Gancao (Glycyrrhiza uralensis Fisch.), Renshen (Panax ginseng C. A. Mey.), Danggui (Angelica sinensis (Oliv.) Diels), Shengma (Cimicifuga foetida L.), and Zicao (Lithospermum erythrorhizon Siebold & Zucc.) were selected as the core CM-pair for further investigation. Network pharmacology analysis yielded 131 active components and 348 candidate targets for the core CM-pair. Quercetin and celabenzine were chosen as ligands for molecular docking. GO and KEGG enrichment analyses revealed that the core CM-pair could interact with targets involved in immune, inflammatory, and infectious diseases. Moreover, key mpox virus targets, F8-A22-E4 DNA polymerase holoenzyme and profilin-like protein A42R, were docked well with the selected core components. And molecular dynamic simulation indicated that the component (quercetin) could stably bind to the target (profilin-like protein A42R). Our findings identified potential prescriptions, herbs, and components that can offer potential therapies or drugs for addressing the MPX epidemic. |
format | Online Article Text |
id | pubmed-10508546 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-105085462023-09-20 Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach Li, Linyang Xu, Chengchen Guo, Yinling Wang, Haozhong Medicine (Baltimore) 3800 Mpox (MPX) has escalated into a public health emergency of international concern, necessitating urgent prophylactic and therapeutic measures. The primary goal of this investigation was to systematically extract Wan Quan’s expertise in treating smallpox, as documented in Exclusive Methods for Treating Pox (Dou Zhen Xin Fa in Chinese), with the aim of identifying potential prescriptions, herbs, and components for alternative MPX therapies or drugs. This research utilized data mining to identify high-frequency Chinese Medicines (CMs), high-frequency CM-pairs, and CM compatibility rules. Network pharmacology, molecular docking, and molecular dynamic simulation were employed to reveal the potential molecular mechanisms of the core CM-pair. 119 prescriptions were extracted from Exclusive Methods for Treating Pox. We identified 25 high-frequency CMs and 23 high-frequency CM pairs among these prescriptions. Combined association rule mining analysis, Gancao (Glycyrrhiza uralensis Fisch.), Renshen (Panax ginseng C. A. Mey.), Danggui (Angelica sinensis (Oliv.) Diels), Shengma (Cimicifuga foetida L.), and Zicao (Lithospermum erythrorhizon Siebold & Zucc.) were selected as the core CM-pair for further investigation. Network pharmacology analysis yielded 131 active components and 348 candidate targets for the core CM-pair. Quercetin and celabenzine were chosen as ligands for molecular docking. GO and KEGG enrichment analyses revealed that the core CM-pair could interact with targets involved in immune, inflammatory, and infectious diseases. Moreover, key mpox virus targets, F8-A22-E4 DNA polymerase holoenzyme and profilin-like protein A42R, were docked well with the selected core components. And molecular dynamic simulation indicated that the component (quercetin) could stably bind to the target (profilin-like protein A42R). Our findings identified potential prescriptions, herbs, and components that can offer potential therapies or drugs for addressing the MPX epidemic. Lippincott Williams & Wilkins 2023-09-15 /pmc/articles/PMC10508546/ /pubmed/37713907 http://dx.doi.org/10.1097/MD.0000000000035116 Text en Copyright © 2023 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 | 3800 Li, Linyang Xu, Chengchen Guo, Yinling Wang, Haozhong Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach |
title | Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach |
title_full | Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach |
title_fullStr | Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach |
title_full_unstemmed | Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach |
title_short | Screening potential treatments for mpox from Traditional Chinese Medicine by using a data-driven approach |
title_sort | screening potential treatments for mpox from traditional chinese medicine by using a data-driven approach |
topic | 3800 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508546/ https://www.ncbi.nlm.nih.gov/pubmed/37713907 http://dx.doi.org/10.1097/MD.0000000000035116 |
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