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UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing
Salvia miltiorrhiza has numerous compounds with extensive clinical application. “Sweating”, a processing method of Traditional Chinese Medicine (TCM), results in great changes in pharmacology and pharmacodynamics. Previously, chromatogram of 10 characteristic metabolites in S. miltiorrhiza showed a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658355/ https://www.ncbi.nlm.nih.gov/pubmed/33177654 http://dx.doi.org/10.1038/s41598-020-76650-w |
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author | Cao, Mengyang Liu, Yingying Jiang, Weimin Meng, Xiaoxi Zhang, Wei Chen, Weidong Peng, Daiyin Xing, Shihai |
author_facet | Cao, Mengyang Liu, Yingying Jiang, Weimin Meng, Xiaoxi Zhang, Wei Chen, Weidong Peng, Daiyin Xing, Shihai |
author_sort | Cao, Mengyang |
collection | PubMed |
description | Salvia miltiorrhiza has numerous compounds with extensive clinical application. “Sweating”, a processing method of Traditional Chinese Medicine (TCM), results in great changes in pharmacology and pharmacodynamics. Previously, chromatogram of 10 characteristic metabolites in S. miltiorrhiza showed a significant difference after “Sweating”. Due to the complexity of TCM, changes in metabolites should be investigated metabolome-wide after “Sweating”. An untargeted UPLC/MS-based metabolomics was performed to discover metabolites profile variation of S. miltiorrhiza after “Sweating”. Multivariate analysis was conducted to screen differential metabolites. Analysis indicated distinct differences between sweated and non-sweated samples. 10,108 substance peaks had been detected altogether, and 4759 metabolites had been identified from negative and positive ion model. 287 differential metabolites were screened including 112 up-regulated and 175 down-regulated and they belong to lipids and lipid-like molecules, and phenylpropanoid and polyketides. KEGG analysis showed the pathway of linoleic acid metabolism, and glyoxylate and dicarboxylate metabolism were mainly enriched. 31 and 49 identified metabolites were exclusively detected in SSM and NSSM, respectively, which mainly belong to carboxylic acids and derivatives, polyketides and fatty acyls. By mapping tanshinones and salvianolic acids to 4759 identified metabolites library, 23 characteristic metabolites had been identified, among which 11 metabolites changed most. We conclude that “Sweating’’ has significant effect on metabolites content and composition of S. miltiorrhiza. |
format | Online Article Text |
id | pubmed-7658355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76583552020-11-13 UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing Cao, Mengyang Liu, Yingying Jiang, Weimin Meng, Xiaoxi Zhang, Wei Chen, Weidong Peng, Daiyin Xing, Shihai Sci Rep Article Salvia miltiorrhiza has numerous compounds with extensive clinical application. “Sweating”, a processing method of Traditional Chinese Medicine (TCM), results in great changes in pharmacology and pharmacodynamics. Previously, chromatogram of 10 characteristic metabolites in S. miltiorrhiza showed a significant difference after “Sweating”. Due to the complexity of TCM, changes in metabolites should be investigated metabolome-wide after “Sweating”. An untargeted UPLC/MS-based metabolomics was performed to discover metabolites profile variation of S. miltiorrhiza after “Sweating”. Multivariate analysis was conducted to screen differential metabolites. Analysis indicated distinct differences between sweated and non-sweated samples. 10,108 substance peaks had been detected altogether, and 4759 metabolites had been identified from negative and positive ion model. 287 differential metabolites were screened including 112 up-regulated and 175 down-regulated and they belong to lipids and lipid-like molecules, and phenylpropanoid and polyketides. KEGG analysis showed the pathway of linoleic acid metabolism, and glyoxylate and dicarboxylate metabolism were mainly enriched. 31 and 49 identified metabolites were exclusively detected in SSM and NSSM, respectively, which mainly belong to carboxylic acids and derivatives, polyketides and fatty acyls. By mapping tanshinones and salvianolic acids to 4759 identified metabolites library, 23 characteristic metabolites had been identified, among which 11 metabolites changed most. We conclude that “Sweating’’ has significant effect on metabolites content and composition of S. miltiorrhiza. Nature Publishing Group UK 2020-11-11 /pmc/articles/PMC7658355/ /pubmed/33177654 http://dx.doi.org/10.1038/s41598-020-76650-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Cao, Mengyang Liu, Yingying Jiang, Weimin Meng, Xiaoxi Zhang, Wei Chen, Weidong Peng, Daiyin Xing, Shihai UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing |
title | UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing |
title_full | UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing |
title_fullStr | UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing |
title_full_unstemmed | UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing |
title_short | UPLC/MS-based untargeted metabolomics reveals the changes of metabolites profile of Salvia miltiorrhiza bunge during Sweating processing |
title_sort | uplc/ms-based untargeted metabolomics reveals the changes of metabolites profile of salvia miltiorrhiza bunge during sweating processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658355/ https://www.ncbi.nlm.nih.gov/pubmed/33177654 http://dx.doi.org/10.1038/s41598-020-76650-w |
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