4.7 Review

Metabolomics highlights pharmacological bioactivity and biochemical mechanism of traditional Chinese medicine

Journal

CHEMICO-BIOLOGICAL INTERACTIONS
Volume 273, Issue -, Pages 133-141

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.cbi.2017.06.011

Keywords

Natural product; Traditional Chinese medicine; Metabolomics; Biochemical mechanism; Pharmacodynamic mechanism

Funding

  1. National Natural Science Foundation [81673578, 81603271]
  2. Program for New Century Excellent Talents in University [NCET-13-0954]

Ask authors/readers for more resources

Traditional Chinese medicine (TCM) has attracted increasing interest throughout the world because of its potential complementary therapy and an abundant source for new drug discovery. TCM possesses the significant bioactivity of the use of multi-component drugs and can act multiple targets by multiple components. Metabolomics is a holistic investigation of numerous metabolite responses of complex biology systems to pathological stimuli and drug treatments based on the global metabolic profiles in complex biological matrixes. It provides variation of systematic metabolic networks for characterizing pathological states in animal models and clinical studies. In agreement with the holistic thinking of TCM, metabolomics has shown potential in bioactivity evaluation and action mechanism of TCM as well as pharmaceutical research and development. Recently, different metabolomic technologies have been applied to the modernization of TCM and treatments of different diseases such as cardiovascular disease, kidney disease, liver disease and metabolic disease. Based on the reported literature, this paper introduced the application of metabolomics in efficacy evaluation of TCM and its biochemical action mechanism. (C) 2017 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available