Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines

Traditional Chinese medicine (TCM), an ancient medical system, has the advantages of multi-targeting and multi-ingredient preparations, and is different from modern pharmacology. However, because of the complexity of TCM and the limitation of present investigation method, the research for decipherin...

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Main Authors: Wei-Wei Ma, Ai-Hua Zhang, Hui Sun, Xiang-Cai Meng, Xi-Jun Wang
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-11-01
Series:World Journal of Traditional Chinese Medicine
Subjects:
Online Access:http://www.wjtcm.org:8080/ch/reader/create_pdf.aspx?file_no=20160027&year_id=2016&quarter_id=1&flag=1
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spelling doaj-d737999b97d04505bed04bf082e4353a2020-11-24T22:38:48ZengWolters Kluwer Medknow PublicationsWorld Journal of Traditional Chinese Medicine2311-85712016-11-0123172410.15806/j.issn.2311-8571.2016.00272016.0027Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese MedicinesWei-Wei Ma0Ai-Hua Zhang1Hui Sun2Xiang-Cai Meng3Xi-Jun Wang4National TCM Key Laboratory of Serum Pharmacochemistry, Sino-America Chinmedomics Technology Cooperation Center, Research Center of Chinmedomics (State Administration of TCM), Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, ChinaNational TCM Key Laboratory of Serum Pharmacochemistry, Sino-America Chinmedomics Technology Cooperation Center, Research Center of Chinmedomics (State Administration of TCM), Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, ChinaNational TCM Key Laboratory of Serum Pharmacochemistry, Sino-America Chinmedomics Technology Cooperation Center, Research Center of Chinmedomics (State Administration of TCM), Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, ChinaNational TCM Key Laboratory of Serum Pharmacochemistry, Sino-America Chinmedomics Technology Cooperation Center, Research Center of Chinmedomics (State Administration of TCM), Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, ChinaNational TCM Key Laboratory of Serum Pharmacochemistry, Sino-America Chinmedomics Technology Cooperation Center, Research Center of Chinmedomics (State Administration of TCM), Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, ChinaTraditional Chinese medicine (TCM), an ancient medical system, has the advantages of multi-targeting and multi-ingredient preparations, and is different from modern pharmacology. However, because of the complexity of TCM and the limitation of present investigation method, the research for deciphering the scientific basis and systematic features of TCM is difficult to go further. Metabolomics has a significant increased study in recent years and enables mapping of early biochemical changes in disease and hence provides an opportunity to develop predictive biomarkers. Moreover, its method and design resemble those of traditional Chinese medicine. Therefore, it can provide useful tools for exploring essence of TCM, and will help to in-depth understand Chinese medicine syndromes. In this mini-paper, particular attention will be paid to the past successes in applications of robust metabolomics to contribute to small metabolites discovery in TCM development.http://www.wjtcm.org:8080/ch/reader/create_pdf.aspx?file_no=20160027&year_id=2016&quarter_id=1&flag=1MetabolomicsBiomarkersMetabolitesTraditional Chinese medicineSyndromes
collection DOAJ
language English
format Article
sources DOAJ
author Wei-Wei Ma
Ai-Hua Zhang
Hui Sun
Xiang-Cai Meng
Xi-Jun Wang
spellingShingle Wei-Wei Ma
Ai-Hua Zhang
Hui Sun
Xiang-Cai Meng
Xi-Jun Wang
Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines
World Journal of Traditional Chinese Medicine
Metabolomics
Biomarkers
Metabolites
Traditional Chinese medicine
Syndromes
author_facet Wei-Wei Ma
Ai-Hua Zhang
Hui Sun
Xiang-Cai Meng
Xi-Jun Wang
author_sort Wei-Wei Ma
title Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines
title_short Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines
title_full Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines
title_fullStr Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines
title_full_unstemmed Metabolomics Deciphering Therapeutic Effects and Mechanism of Traditional Chinese Medicines
title_sort metabolomics deciphering therapeutic effects and mechanism of traditional chinese medicines
publisher Wolters Kluwer Medknow Publications
series World Journal of Traditional Chinese Medicine
issn 2311-8571
publishDate 2016-11-01
description Traditional Chinese medicine (TCM), an ancient medical system, has the advantages of multi-targeting and multi-ingredient preparations, and is different from modern pharmacology. However, because of the complexity of TCM and the limitation of present investigation method, the research for deciphering the scientific basis and systematic features of TCM is difficult to go further. Metabolomics has a significant increased study in recent years and enables mapping of early biochemical changes in disease and hence provides an opportunity to develop predictive biomarkers. Moreover, its method and design resemble those of traditional Chinese medicine. Therefore, it can provide useful tools for exploring essence of TCM, and will help to in-depth understand Chinese medicine syndromes. In this mini-paper, particular attention will be paid to the past successes in applications of robust metabolomics to contribute to small metabolites discovery in TCM development.
topic Metabolomics
Biomarkers
Metabolites
Traditional Chinese medicine
Syndromes
url http://www.wjtcm.org:8080/ch/reader/create_pdf.aspx?file_no=20160027&year_id=2016&quarter_id=1&flag=1
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