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Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach
Panax ginseng has been used since ancient times based on the traditional Asian medicine theory and clinical experiences, and currently, is one of the most popular herbs in the world. To date, most of the studies concerning P. ginseng have focused on specific mechanisms of action of individual consti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766701/ https://www.ncbi.nlm.nih.gov/pubmed/29348728 http://dx.doi.org/10.1016/j.jgr.2017.09.001 |
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author | Park, Sa-Yoon Park, Ji-Hun Kim, Hyo-Su Lee, Choong-Yeol Lee, Hae-Jeung Kang, Ki Sung Kim, Chang-Eop |
author_facet | Park, Sa-Yoon Park, Ji-Hun Kim, Hyo-Su Lee, Choong-Yeol Lee, Hae-Jeung Kang, Ki Sung Kim, Chang-Eop |
author_sort | Park, Sa-Yoon |
collection | PubMed |
description | Panax ginseng has been used since ancient times based on the traditional Asian medicine theory and clinical experiences, and currently, is one of the most popular herbs in the world. To date, most of the studies concerning P. ginseng have focused on specific mechanisms of action of individual constituents. However, in spite of many studies on the molecular mechanisms of P. ginseng, it still remains unclear how multiple active ingredients of P. ginseng interact with multiple targets simultaneously, giving the multidimensional effects on various conditions and diseases. In order to decipher the systems-level mechanism of multiple ingredients of P. ginseng, a novel approach is needed beyond conventional reductive analysis. We aim to review the systems-level mechanism of P. ginseng by adopting novel analytical framework–network pharmacology. Here, we constructed a compound-target network of P. ginseng using experimentally validated and machine learning-based prediction results. The targets of the network were analyzed in terms of related biological process, pathways, and diseases. The majority of targets were found to be related with primary metabolic process, signal transduction, nitrogen compound metabolic process, blood circulation, immune system process, cell-cell signaling, biosynthetic process, and neurological system process. In pathway enrichment analysis of targets, mainly the terms related with neural activity showed significant enrichment and formed a cluster. Finally, relative degrees analysis for the target-disease association of P. ginseng revealed several categories of related diseases, including respiratory, psychiatric, and cardiovascular diseases. |
format | Online Article Text |
id | pubmed-5766701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-57667012018-01-18 Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach Park, Sa-Yoon Park, Ji-Hun Kim, Hyo-Su Lee, Choong-Yeol Lee, Hae-Jeung Kang, Ki Sung Kim, Chang-Eop J Ginseng Res Review Article Panax ginseng has been used since ancient times based on the traditional Asian medicine theory and clinical experiences, and currently, is one of the most popular herbs in the world. To date, most of the studies concerning P. ginseng have focused on specific mechanisms of action of individual constituents. However, in spite of many studies on the molecular mechanisms of P. ginseng, it still remains unclear how multiple active ingredients of P. ginseng interact with multiple targets simultaneously, giving the multidimensional effects on various conditions and diseases. In order to decipher the systems-level mechanism of multiple ingredients of P. ginseng, a novel approach is needed beyond conventional reductive analysis. We aim to review the systems-level mechanism of P. ginseng by adopting novel analytical framework–network pharmacology. Here, we constructed a compound-target network of P. ginseng using experimentally validated and machine learning-based prediction results. The targets of the network were analyzed in terms of related biological process, pathways, and diseases. The majority of targets were found to be related with primary metabolic process, signal transduction, nitrogen compound metabolic process, blood circulation, immune system process, cell-cell signaling, biosynthetic process, and neurological system process. In pathway enrichment analysis of targets, mainly the terms related with neural activity showed significant enrichment and formed a cluster. Finally, relative degrees analysis for the target-disease association of P. ginseng revealed several categories of related diseases, including respiratory, psychiatric, and cardiovascular diseases. Elsevier 2018-01 2017-10-16 /pmc/articles/PMC5766701/ /pubmed/29348728 http://dx.doi.org/10.1016/j.jgr.2017.09.001 Text en © 2017 The Korean Society of Ginseng, Published by Elsevier Korea LLC. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Park, Sa-Yoon Park, Ji-Hun Kim, Hyo-Su Lee, Choong-Yeol Lee, Hae-Jeung Kang, Ki Sung Kim, Chang-Eop Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach |
title | Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach |
title_full | Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach |
title_fullStr | Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach |
title_full_unstemmed | Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach |
title_short | Systems-level mechanisms of action of Panax ginseng: a network pharmacological approach |
title_sort | systems-level mechanisms of action of panax ginseng: a network pharmacological approach |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766701/ https://www.ncbi.nlm.nih.gov/pubmed/29348728 http://dx.doi.org/10.1016/j.jgr.2017.09.001 |
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