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Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways
Acupuncture is an alternative therapy that is widely used to treat various diseases. However, detailed biological interpretation of the acupuncture stimulations is limited. We here used metabolomics and proteomics technology, thereby identifying the serum small molecular metabolites into the effect...
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/PMC4754631/ https://www.ncbi.nlm.nih.gov/pubmed/26879284 http://dx.doi.org/10.1038/srep19942 |
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author | Zhang, Aihua Yan, Guangli Sun, Hui Cheng, Weiping Meng, Xiangcai Liu, Li Xie, Ning Wang, Xijun |
author_facet | Zhang, Aihua Yan, Guangli Sun, Hui Cheng, Weiping Meng, Xiangcai Liu, Li Xie, Ning Wang, Xijun |
author_sort | Zhang, Aihua |
collection | PubMed |
description | Acupuncture is an alternative therapy that is widely used to treat various diseases. However, detailed biological interpretation of the acupuncture stimulations is limited. We here used metabolomics and proteomics technology, thereby identifying the serum small molecular metabolites into the effect and mechanism pathways of standardized acupuncture treatments at ‘Zusanli’ acupoint which was the most often used acupoint in previous reports. Comprehensive overview of serum metabolic profiles during acupuncture stimulation was investigated. Thirty-four differential metabolites were identified in serum metabolome and associated with ten metabolism pathways. Importantly, we have found that high impact glycerophospholipid metabolism, fatty acid metabolism, ether lipid metabolism were acutely perturbed by acupuncture stimulation. As such, these alterations may be useful to clarify the biological mechanism of acupuncture stimulation. A series of differentially expressed proteins were identified and such effects of acupuncture stimulation were found to play a role in transport, enzymatic activity, signaling pathway or receptor interaction. Pathway analysis further revealed that most of these proteins were found to play a pivotal role in the regulation of multiple metabolism pathways. It demonstrated that the metabolomics coupled with proteomics as a powerful approach for potential applications in understanding the biological effects of acupuncture stimulation. |
format | Online Article Text |
id | pubmed-4754631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47546312016-02-24 Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways Zhang, Aihua Yan, Guangli Sun, Hui Cheng, Weiping Meng, Xiangcai Liu, Li Xie, Ning Wang, Xijun Sci Rep Article Acupuncture is an alternative therapy that is widely used to treat various diseases. However, detailed biological interpretation of the acupuncture stimulations is limited. We here used metabolomics and proteomics technology, thereby identifying the serum small molecular metabolites into the effect and mechanism pathways of standardized acupuncture treatments at ‘Zusanli’ acupoint which was the most often used acupoint in previous reports. Comprehensive overview of serum metabolic profiles during acupuncture stimulation was investigated. Thirty-four differential metabolites were identified in serum metabolome and associated with ten metabolism pathways. Importantly, we have found that high impact glycerophospholipid metabolism, fatty acid metabolism, ether lipid metabolism were acutely perturbed by acupuncture stimulation. As such, these alterations may be useful to clarify the biological mechanism of acupuncture stimulation. A series of differentially expressed proteins were identified and such effects of acupuncture stimulation were found to play a role in transport, enzymatic activity, signaling pathway or receptor interaction. Pathway analysis further revealed that most of these proteins were found to play a pivotal role in the regulation of multiple metabolism pathways. It demonstrated that the metabolomics coupled with proteomics as a powerful approach for potential applications in understanding the biological effects of acupuncture stimulation. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4754631/ /pubmed/26879284 http://dx.doi.org/10.1038/srep19942 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 Zhang, Aihua Yan, Guangli Sun, Hui Cheng, Weiping Meng, Xiangcai Liu, Li Xie, Ning Wang, Xijun Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
title | Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
title_full | Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
title_fullStr | Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
title_full_unstemmed | Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
title_short | Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
title_sort | deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754631/ https://www.ncbi.nlm.nih.gov/pubmed/26879284 http://dx.doi.org/10.1038/srep19942 |
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