Literature DB >> 30340940

High-throughput chinmedomics strategy for discovering the quality-markers and potential targets for Yinchenhao decoction.

Hui Sun1, Ai-Hua Zhang1, Le Yang1, Meng-Xi Li1, Heng Fang1, Jing Xie1, Xi-Jun Wang2.   

Abstract

BACKGROUND: Yinchenhao decoction (YCHD) has been widely applied in the clinic for various kinds of liver disease, especially for the therapy of dampness-heat jaundice syndrome (DHJS). Some studies have investigated the pharmacological activity and compositions of YCHD. However, its Q-markers and the action targets are still unrevealed.
PURPOSE: This work aims to clarify the therapeutic effect of YCHD against DHJS and discover the quality-markers (Q-markers) of YCHD based on the high-throughput chinmedomics strategy and then predict the potential targets and action mechanism of YCHD against DHJS.
METHODS: Ultra-high performance liquid chromatography/mass spectrometry (UPLC-MS) combined with pattern recognition method was utilized to analyze serum samples and urine samples. Multivariate data analysis and network pharmacology technology were used to identify the effective components and biomarkers associated with therapeutic effects.
RESULTS: With the high sensitivity UPLC-MS technology, a total of 69 compounds from YCHD were identified and 41 of them were absorbed in blood. Besides, 34 urine biomarkers from DHJS were identified. Of note, we utilized chinmedomics technology on the correlation analysis of urine biomarkers and absorbed components to determine 9 core-compounds as the Q-markers responsible for the efficacy of YCHD. Finally, a total of 12 potential targets were discovered.
CONCLUSION: This work provides a powerful method for clarifying the efficacy of TCM and discovering the effective ingredients as Q-markers.
Copyright © 2018 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Chinmedomics; Quality-markers; Targets; Therapeutic effects; Yinchenhao decoction

Mesh:

Substances:

Year:  2018        PMID: 30340940     DOI: 10.1016/j.phymed.2018.04.015

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


  26 in total

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