A Network-Based Pharmacology Study of the Herb-Induced Liver Injury Potential of Traditional Hepatoprotective Chinese Herbal Medicines

Herbal medicines are widely used for treating liver diseases and generally regarded as safe due to their extensive use in Traditional Chinese Medicine practice for thousands of years. However, in recent years, there have been increased concerns regarding the long-term risk of Herb-Induced Liver Inju...

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Published inMolecules (Basel, Switzerland) Vol. 22; no. 4; p. 632
Main Authors Hong, Ming, Li, Sha, Tan, Hor Yue, Cheung, Fan, Wang, Ning, Huang, Jihan, Feng, Yibin
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 14.04.2017
MDPI
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Summary:Herbal medicines are widely used for treating liver diseases and generally regarded as safe due to their extensive use in Traditional Chinese Medicine practice for thousands of years. However, in recent years, there have been increased concerns regarding the long-term risk of Herb-Induced Liver Injury (HILI) in patients with liver dysfunction. Herein, two representative Chinese herbal medicines: one-Xiao-Chai-Hu-Tang (XCHT)-a composite formula, and the other- -a single herb, were analyzed by network pharmacology study. Based on the network pharmacology framework, we exploited the potential HILI effects of XCHT and by predicting the molecular mechanisms of HILI and identified the potential hepatotoxic ingredients in XCHT and . According to our network results, kaempferol and thymol in XCHT and rhein in exhibit the largest number of liver injury target connections, whereby CASP3, PPARG and MCL1 may be potential liver injury targets for these herbal medicines. This network pharmacology assay might serve as a useful tool to explore the underlying molecular mechanism of HILI. Based on the theoretical predictions, further experimental verification should be performed to validate the accuracy of the predicted interactions between herbal ingredients and protein targets in the future.
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ISSN:1420-3049
1420-3049
DOI:10.3390/molecules22040632