Literature DB >> 31954259

Analytical strategies for the discovery and validation of quality-markers of traditional Chinese medicine.

Jun-Ling Ren1, Ai-Hua Zhang1, Ling Kong1, Ying Han1, Guang-Li Yan1, Hui Sun1, Xi-Jun Wang2.   

Abstract

BACKGROUND: Quality control of traditional Chinese medicine (TCM) is the basis of clinical efficacy. Due to the complexity of TCM, it is difficult to unify the quality control, and hinders the further implementation of the quality standardization of TCM. As a new concept, quality-marker (Q-marker) plays a powerful role in promoting the standardization of quality control system of TCM. HYPOTHESIS/
PURPOSE: The present review aims to provide reference and scientific basis for further development of Q-marker and assist standardization of quality control of TCM.
METHODS: Extensive search of various documents and electronic databases such as Pubmed, Royal Society of Chemistry, Science Direct, Springer, Web of Science, and Wiley, etc., were used to search scientific contributions. Other online academic libraries, e.g. Google Scholars, Scopus and national pharmacology literature were also been employed to learn more relevant information about Q-marker.
RESULTS: Q-markers play vital role in promoting the standardization of quality control of TCM. The factors that affect the quality of TCM, the advantages and disadvantages of the analytical techniques commonly used in Q-marker research were reviewed, as well as the systematic research strategies, which were verified by practices.
CONCLUSION: The proposal of Q-marker not only provided a new perspective to break through the bottleneck of current quality control, but also can be used in the evaluation of pharmacological efficiency, therapeutic discovery, toxicology, etc. In addition, the Q-marker analysis strategies summarized in this paper is helpful to standardize the quality control of TCM and promote the internationalization of TCM.
Copyright © 2020 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Chinmedomics; Quality control; Quality-marker; Traditional Chinese medicine

Mesh:

Substances:

Year:  2019        PMID: 31954259     DOI: 10.1016/j.phymed.2019.153165

Source DB:  PubMed          Journal:  Phytomedicine        ISSN: 0944-7113            Impact factor:   5.340


  7 in total

Review 1.  Plant metabolomics: a new strategy and tool for quality evaluation of Chinese medicinal materials.

Authors:  Qi Xiao; Xinlu Mu; Jiushi Liu; Bin Li; Haitao Liu; Bengang Zhang; Peigen Xiao
Journal:  Chin Med       Date:  2022-04-08       Impact factor: 5.455

2.  UPLC-G2Si-HDMS Untargeted Metabolomics for Identification of Yunnan Baiyao's Metabolic Target in Promoting Blood Circulation and Removing Blood Stasis.

Authors:  Qingyu Zhang; Aihua Zhang; Fangfang Wu; Xijun Wang
Journal:  Molecules       Date:  2022-05-17       Impact factor: 4.927

3.  Exploration of Q-Marker of Rhubarb Based on Intelligent Data Processing Techniques and the AUC Pooled Method.

Authors:  Jiayun Chen; Xiaojuan Jiang; Chunyan Zhu; Lu Yang; Minting Liu; Mingshe Zhu; Caisheng Wu
Journal:  Front Pharmacol       Date:  2022-03-21       Impact factor: 5.810

4.  Chinmedomics Strategy for Elucidating the Pharmacological Effects and Discovering Bioactive Compounds From Keluoxin Against Diabetic Retinopathy.

Authors:  Ling Kong; Ye Sun; Hui Sun; Ai-Hua Zhang; Bo Zhang; Nan Ge; Xi-Jun Wang
Journal:  Front Pharmacol       Date:  2022-03-31       Impact factor: 5.988

5.  Integrated Network Pharmacology and UPLC/Q-TOF-MS Screen System to Exploring Anti-Inflammatory Active Components and Mechanism of Shunaoxin Pills.

Authors:  Nianwei Chang; Yu Wang; Min Jiang; Gang Bai
Journal:  Evid Based Complement Alternat Med       Date:  2022-04-14       Impact factor: 2.650

Review 6.  The Application of UHPLC-HRMS for Quality Control of Traditional Chinese Medicine.

Authors:  Jieyao Ma; Kailin Li; Silin Shi; Jian Li; Sunv Tang; LiangHong Liu
Journal:  Front Pharmacol       Date:  2022-06-02       Impact factor: 5.988

7.  An Integrated Strategy for Rapid Discovery and Identification of Quality Markers in Gardenia Fructus Using an Omics Discrimination-Grey Correlation-Biological Verification Method.

Authors:  Rong Dong; Qingping Tian; Yongping Shi; Shanjun Chen; Yougang Zhang; Zhipeng Deng; Xiaojing Wang; Qingqiang Yao; Liwen Han
Journal:  Front Pharmacol       Date:  2021-06-24       Impact factor: 5.810

  7 in total

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