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Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining
OBJECTIVE: To explore the mechanism and principles of traditional Chinese medicine (TCM) in the management of radiation pneumonia. METHODS: The targets of radiation pneumonia were obtained by screening the GeneCards, OMIM, TTD, DrugBank, and HERB databases, analyzing ADME parameters. In addition, co...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060976/ https://www.ncbi.nlm.nih.gov/pubmed/35509624 http://dx.doi.org/10.1155/2022/7313864 |
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author | Dan, Wenchao Wu, Cong Xue, Chunyan Liu, Jinlei Guo, Xinyuan Lian, Yanjie |
author_facet | Dan, Wenchao Wu, Cong Xue, Chunyan Liu, Jinlei Guo, Xinyuan Lian, Yanjie |
author_sort | Dan, Wenchao |
collection | PubMed |
description | OBJECTIVE: To explore the mechanism and principles of traditional Chinese medicine (TCM) in the management of radiation pneumonia. METHODS: The targets of radiation pneumonia were obtained by screening the GeneCards, OMIM, TTD, DrugBank, and HERB databases, analyzing ADME parameters. In addition, compounds and Chinese herbs that can act on the targets were screened from the TCMSP database. The core target compounds for TCM were used to construct the target-compound, compound-traditional Chinese medicine, and target-compound-traditional Chinese medicine networks. These networks were further used to select the core targets, compounds, and TCM. The binding strength between the core targets and compounds was determined using AutoDock Vina. The trajectory for the molecular dynamics simulation was completed by Desmond version 2020. RESULTS: A total of 55 active targets in radiation pneumonia were identified. Subsequently, 137 candidate compounds and 469 Chinese herbs were matched. Frequency statistics showed that the Chinese herbs that could interfere with radiation pneumonia were mainly bitter, spicy, and sweet, with both cold and warm properties. Moreover, they mainly belonged to liver and lung channels. The core targets included TNF, IL-6, TGF-β1, and TP53. The most important components were quercetin, resveratrol, and (-)-epigallocatechin-3-gallate. Moreover, the most significant traditional Chinese herbs were Perilla pueraria, ephedra, Lonicerae japonicae, and sea buckthorn. Furthermore, analysis of 222 sets of receptor-ligand docking results suggested that the compounds had good docking activity to their core targets. By combining the docking binding energy, we determined that the chemical compounds had strong binding energy to the targets. CONCLUSION: Using network pharmacology, we explored the potential mechanism of TCM in the treatment of radiation pneumonia. The general rules for application of TCM in the treatment of radiation pneumonia were summarized. This study provides baseline information for future research on the development of TCM for the management of radiation pneumonia. |
format | Online Article Text |
id | pubmed-9060976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-90609762022-05-03 Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining Dan, Wenchao Wu, Cong Xue, Chunyan Liu, Jinlei Guo, Xinyuan Lian, Yanjie Evid Based Complement Alternat Med Research Article OBJECTIVE: To explore the mechanism and principles of traditional Chinese medicine (TCM) in the management of radiation pneumonia. METHODS: The targets of radiation pneumonia were obtained by screening the GeneCards, OMIM, TTD, DrugBank, and HERB databases, analyzing ADME parameters. In addition, compounds and Chinese herbs that can act on the targets were screened from the TCMSP database. The core target compounds for TCM were used to construct the target-compound, compound-traditional Chinese medicine, and target-compound-traditional Chinese medicine networks. These networks were further used to select the core targets, compounds, and TCM. The binding strength between the core targets and compounds was determined using AutoDock Vina. The trajectory for the molecular dynamics simulation was completed by Desmond version 2020. RESULTS: A total of 55 active targets in radiation pneumonia were identified. Subsequently, 137 candidate compounds and 469 Chinese herbs were matched. Frequency statistics showed that the Chinese herbs that could interfere with radiation pneumonia were mainly bitter, spicy, and sweet, with both cold and warm properties. Moreover, they mainly belonged to liver and lung channels. The core targets included TNF, IL-6, TGF-β1, and TP53. The most important components were quercetin, resveratrol, and (-)-epigallocatechin-3-gallate. Moreover, the most significant traditional Chinese herbs were Perilla pueraria, ephedra, Lonicerae japonicae, and sea buckthorn. Furthermore, analysis of 222 sets of receptor-ligand docking results suggested that the compounds had good docking activity to their core targets. By combining the docking binding energy, we determined that the chemical compounds had strong binding energy to the targets. CONCLUSION: Using network pharmacology, we explored the potential mechanism of TCM in the treatment of radiation pneumonia. The general rules for application of TCM in the treatment of radiation pneumonia were summarized. This study provides baseline information for future research on the development of TCM for the management of radiation pneumonia. Hindawi 2022-04-25 /pmc/articles/PMC9060976/ /pubmed/35509624 http://dx.doi.org/10.1155/2022/7313864 Text en Copyright © 2022 Wenchao Dan 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 Dan, Wenchao Wu, Cong Xue, Chunyan Liu, Jinlei Guo, Xinyuan Lian, Yanjie Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining |
title | Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining |
title_full | Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining |
title_fullStr | Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining |
title_full_unstemmed | Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining |
title_short | Rules of Chinese Herbal Intervention of Radiation Pneumonia Based on Network Pharmacology and Data Mining |
title_sort | rules of chinese herbal intervention of radiation pneumonia based on network pharmacology and data mining |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060976/ https://www.ncbi.nlm.nih.gov/pubmed/35509624 http://dx.doi.org/10.1155/2022/7313864 |
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