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

汤剂 尿 化学 计算生物学
作者
Hui Sun,Aihua Zhang,Le Yang,Meng-xi Li,Heng Fang,Jing Xie,Xijun Wang
出处
期刊:Phytomedicine [Elsevier]
卷期号:54: 328-338 被引量:48
标识
DOI:10.1016/j.phymed.2018.04.015
摘要

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.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.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.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.This work provides a powerful method for clarifying the efficacy of TCM and discovering the effective ingredients as Q-markers.
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