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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...

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Autores principales: Cao, Mengyang, Liu, Yingying, Jiang, Weimin, Meng, Xiaoxi, Zhang, Wei, Chen, Weidong, Peng, Daiyin, Xing, Shihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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