Original Research ARTICLE
Comparative network pharmacology analysis of classical TCM prescriptions for chronic liver disease
- 1School of Life Sciences and Technology, Shanghai Tenth People's Hospital, Tongji University, China
- 2Institute of Interdisciplinary Integrative Biomedical Research, Shanghai University of Traditional Chinese Medicine, China
- 3Key Laboratory of Liver and Kidney Diseases, Institute of Liver Diseases, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, China
Chronic liver disease (CLD) has become a major global health problem while herb prescriptions are clinically observed with significant efficacy. Three classical TCM formulae, Yinchenhao Decoction (YCHT), Huangqi Decoction (HQT), and Yiguanjian (YGJ) have been widely applied in China to treat CLD, but no systematic study has yet been published to investigate their common and different mechanism of action (MOA). Partial limitation may own to deficiency of effective bioinformatics methods. Here, a computational framework of comparative network pharmacology is firstly proposed and then applied to herbal recipes for CLD disease. The analysis showed that, the three formulae modulate CLD mainly through functional modules of immune response, inflammation, energy metabolism, oxidative stress, and others. On top of that, each formula can target additional unique modules. Typically, YGJ ingredients can uniquely target the ATP synthesis and neurotransmitter release cycle. Interestingly, different formulae may regulate the same functional module in different modes. For instance, YCHT and YGJ can activate oxidative stress-related genes of SOD family while HQT are found to inhibit SOD1 gene. Overall, our framework of comparative network pharmacology proposed in our work may not only explain the MOA of different formulae treating CLD, but also provide hints to further investigate the biological basis of CLD subtypes.
Keywords: network comparative analysis, TCM, chronic liver disease, Yinchenhao decoction, HuangQi decoction, Yiguanjian
Received: 19 Feb 2019;
Accepted: 25 Oct 2019.
Copyright: © 2019 Chen, Wang, Tang, Wu, Zhao, Liu and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Prof. Ping Liu, Institute of Interdisciplinary Integrative Biomedical Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, Shanghai Municipality, China, email@example.com
Prof. Zhiwei Cao, School of Life Sciences and Technology, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China, firstname.lastname@example.org