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An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine
Traditional natural product discovery affords no information about compound structure or pharmacological activities until late in the discovery process, and leads to low probabilities of finding compounds with unique biological properties. By integrating serum pharmacochemistry-based screening with...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707445/ https://www.ncbi.nlm.nih.gov/pubmed/26750403 http://dx.doi.org/10.1038/srep18997 |
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author | Wang, Xijun Zhang, Aihua Zhou, Xiaohang Liu, Qi Nan, Yang Guan, Yu Kong, Ling Han, Ying Sun, Hui Yan, Guangli |
author_facet | Wang, Xijun Zhang, Aihua Zhou, Xiaohang Liu, Qi Nan, Yang Guan, Yu Kong, Ling Han, Ying Sun, Hui Yan, Guangli |
author_sort | Wang, Xijun |
collection | PubMed |
description | Traditional natural product discovery affords no information about compound structure or pharmacological activities until late in the discovery process, and leads to low probabilities of finding compounds with unique biological properties. By integrating serum pharmacochemistry-based screening with high-resolution metabolomics analysis, we have developed a new platform, termed chinmedomics which is capable of directly discovering the bioactive constituents. In this work, the focus is on ShenQiWan (SQW) treatment of ShenYangXu (SYX, kidney-yang deficiency syndrome) as a case study, as determined by chinmedomics. With serum pharmacochemistry, a total of 34 peaks were tentatively characterised in vivo, 24 of which were parent components and 10 metabolites were detected. The metabolic profiling and potential biomarkers of SYX were also investigated and 23 differential metabolites were found. 20 highly correlated components were screened by the plotting of correlation between marker metabolites and serum constituents and considered as the main active components of SQW. These compounds are imported into a database to predict the action targets: 14 importantly potential targets were found and related to aldosterone-regulated sodium reabsorption and adrenergic signaling pathways. Our study showed that integrated chinmedomics is a powerful strategy for discovery and screening of effective constituents from herbal medicines. |
format | Online Article Text |
id | pubmed-4707445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47074452016-01-20 An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine Wang, Xijun Zhang, Aihua Zhou, Xiaohang Liu, Qi Nan, Yang Guan, Yu Kong, Ling Han, Ying Sun, Hui Yan, Guangli Sci Rep Article Traditional natural product discovery affords no information about compound structure or pharmacological activities until late in the discovery process, and leads to low probabilities of finding compounds with unique biological properties. By integrating serum pharmacochemistry-based screening with high-resolution metabolomics analysis, we have developed a new platform, termed chinmedomics which is capable of directly discovering the bioactive constituents. In this work, the focus is on ShenQiWan (SQW) treatment of ShenYangXu (SYX, kidney-yang deficiency syndrome) as a case study, as determined by chinmedomics. With serum pharmacochemistry, a total of 34 peaks were tentatively characterised in vivo, 24 of which were parent components and 10 metabolites were detected. The metabolic profiling and potential biomarkers of SYX were also investigated and 23 differential metabolites were found. 20 highly correlated components were screened by the plotting of correlation between marker metabolites and serum constituents and considered as the main active components of SQW. These compounds are imported into a database to predict the action targets: 14 importantly potential targets were found and related to aldosterone-regulated sodium reabsorption and adrenergic signaling pathways. Our study showed that integrated chinmedomics is a powerful strategy for discovery and screening of effective constituents from herbal medicines. Nature Publishing Group 2016-01-11 /pmc/articles/PMC4707445/ /pubmed/26750403 http://dx.doi.org/10.1038/srep18997 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Xijun Zhang, Aihua Zhou, Xiaohang Liu, Qi Nan, Yang Guan, Yu Kong, Ling Han, Ying Sun, Hui Yan, Guangli An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
title | An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
title_full | An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
title_fullStr | An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
title_full_unstemmed | An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
title_short | An integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
title_sort | integrated chinmedomics strategy for discovery of effective constituents from traditional herbal medicine |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4707445/ https://www.ncbi.nlm.nih.gov/pubmed/26750403 http://dx.doi.org/10.1038/srep18997 |
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