Identify Molecular Mechanisms of Jiangzhi Decoction on Nonalcoholic Fatty Liver Disease by Network Pharmacology Analysis and Experimental Validation

Joint Authors

Ye, Ying
Ma, Xing
Zhi, Yin
Tie, Hongyun
Ma, Xiaokun
Zheng, Ni
Xia, Wei
Song, Yanan
Zhang, Miao
Wang, Lei

Source

BioMed Research International

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-14

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Medicine

Abstract EN

Background.

Jiangzhi Decoction (JZD), a traditional herb mixture, has shown significant clinical efficacy against nonalcoholic fatty liver disease (NAFLD).

However, its multicomponent and multitarget characteristics bring difficulty in deciphering its pharmacological mechanisms.

Our study is aimed at identifying the core molecular mechanisms of JZD against NAFLD.

Methods.

The active ingredients were searched from Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and Traditional Chinese Medicine Integrated Database (TCMID).

The targets of those ingredients were identified using ChemMapper database based on 3D structure similarity.

NAFLD-related genes were searched from DisGeNET database and Gene Expression Omnibus (GEO) database.

Then, we performed protein-protein interaction (PPI) analysis, functional enrichment analysis, and constructed pathway networks of “herbs-active ingredients-candidate targets” and identified the core molecular mechanisms and key active ingredients in the network.

Also, molecular docking was carried out to predict the ligands of candidate targets using SwissDock.

Finally, the human hepatic L02 cell line was used to establish the NAFLD model in vitro.

The effect and key molecules were validated by Oil Red O staining, biochemical assays, and quantitative real-time PCR (qRT-PCR).

Results.

We found 147 active ingredients in JZD, 1285 targets of active ingredients, 401 NAFLD-related genes, and 59 overlapped candidate targets of JZD against NAFLD.

22 core targets were obtained by PPI analysis.

Finally, nuclear receptor transcription and lipid metabolism regulation were found as the core molecular mechanisms of JZD against NAFLD by functional enrichment analysis.

The candidate targets PPARα and LXRα were both docked with hyperin as the most favorable interaction, and HNF4α was docked with linolenic acid ethyl ester.

According to in vitro experiments, it was found that JZD had an inhibitory effect on lipid accumulation and regulatory effects on cholesterol and triglycerides.

Compared with OA group, the mRNA expression levels of PPARα and HNF4α were significantly upregulated in JZD group (P<0.05), and LXRα was significantly downregulated (P<0.001).

Conclusion.

JZD might alleviate hepatocyte steatosis by regulating some key molecules related to nuclear receptor transcription and lipid metabolism, such as PPARα, LXRα, and HNF4α.

Our study will provide the scientific evidences of the clinical efficacy of JZD against NAFLD.

American Psychological Association (APA)

Wang, Lei& Zhi, Yin& Ye, Ying& Zhang, Miao& Ma, Xing& Tie, Hongyun…[et al.]. 2020. Identify Molecular Mechanisms of Jiangzhi Decoction on Nonalcoholic Fatty Liver Disease by Network Pharmacology Analysis and Experimental Validation. BioMed Research International،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1137716

Modern Language Association (MLA)

Wang, Lei…[et al.]. Identify Molecular Mechanisms of Jiangzhi Decoction on Nonalcoholic Fatty Liver Disease by Network Pharmacology Analysis and Experimental Validation. BioMed Research International No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1137716

American Medical Association (AMA)

Wang, Lei& Zhi, Yin& Ye, Ying& Zhang, Miao& Ma, Xing& Tie, Hongyun…[et al.]. Identify Molecular Mechanisms of Jiangzhi Decoction on Nonalcoholic Fatty Liver Disease by Network Pharmacology Analysis and Experimental Validation. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1137716

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1137716