Literature DB >> 35305386

Potential efficacious materials investigation of Yi-Yi Mixture based on Metabolome-oriented network pharmacology strategy.

Guan-Wen Gong1, Wei-Hong Tang1, Zhuo Zhou2, Yan-Wen Jiang2, Cui-Zhong Wang1, Hui Cheng1, Yuan Cao3, Zhi-Wei Jiang4.   

Abstract

Yi-Yi Mixture, an efficient Chinese medicine preparation composed of four herbal medicines, has been used in clinical practice in China for the treatment of acute pancreatitis over twenty years. However, its functional materials against acute pancreatitis remains unclear, which is a huge obstacle for quality control. In this study, a metabolome-oriented network pharmacology strategy was proposed to clarify its potential substances and further screen out quality markers. Firstly, an Ultra-High performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry method was utilized to profile the chemical constituents in Yi-Yi Mixture. Secondly, metabolic exposure of chemical constituents as well as their global metabolites produced in biological systems were profiled and defined as metabolome of Yi-Yi Mixture. Then, the metabolome targets were predicted based on network analysis. As a result, a total of 66 chemical components were characterized, including 6 stilbenes, 21 anthraquinones, 7 phenols, 13 neolignans, 3 naphthalenes and 16 other types. Moreover, metabolic profiles of YYM (32 prototypes and 37 metabolites) were analyzed in rat bio-samples. Among them, resveratrol, emodin, chrysophanol, rhein and their derivatives were detected in multiple tissues/organs, revealing their potential as key pharmacodynamic substances. These were further confirmed by metabolome-oriented network analysis and molecular docking techniques. This is the first comprehensive investigation on chemical and metabolic profiles of Yi-Yi Mixture, and the results provided scientific foundation for further research on quality control and clinical-safe medication administration.
Copyright © 2022 Elsevier B.V. All rights reserved.

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Keywords:  Acute pancreatitis; Metabolome-oriented network pharmacology; UPLC/Q-TOF MS; Yi-Yi Mixture

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Year:  2022        PMID: 35305386     DOI: 10.1016/j.jchromb.2022.123199

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  1 in total

1.  Multivariate Statistical Analysis of Metabolites in Anisodus tanguticus (Maxim.) Pascher to Determine Geographical Origins and Network Pharmacology.

Authors:  Chen Chen; Bo Wang; Jingjing Li; Feng Xiong; Guoying Zhou
Journal:  Front Plant Sci       Date:  2022-06-29       Impact factor: 6.627

  1 in total

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