Network Pharmacology-Based Investigation of the Mechanism of Liupao Tea Polyphenol Extract in Preventing MAFLD via the Hepatic EGFR–AKT Pathway

Epidemiological studies indicate that Metabolic Associated Fatty Liver Disease (MAFLD) has become the most prevalent chronic liver disease globally. Identifying bioactive molecules from natural plants that can prevent and ameliorate MAFLD is an effective approach to discovering new MAFLD therapeutics. Liupao tea possesses antioxidant and metabolic regulatory properties. This study aimed to identify the active components of Liupao tea polyphenol extract (PLE), and its potential targets and mechanisms of action in the prevention of MAFLD. We performed experiments on MAFLD mice to establish the prevention efficacy of PLE against MAFLD and determine its optimal dosage. Furthermore, network pharmacology, molecular docking, and SPR were performed to predict that PLE's targets for preventing MAFLD concentrate on the hepatic EGFR target. Knockout of EGFR in hepatocytes attenuated the effects of PLE. These findings indicate that PLE inhibits lipid accumulation by downregulating the EGFR/pEGFR-AKT/pAKT-SREBP-1-ACC1 pathway through binding to the EGFR receptor, thereby preventing MAFLD.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-02-03
DOI
https://doi.org/10.1021/acs.jafc.5c15231
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Network Pharmacology-Based Investigation of the Mechanism of Liupao Tea Polyphenol Extract in Preventing MAFLD via the Hepatic EGFR–AKT Pathway

Yiqi Fan, Xiaozheng He, Jingyi Huang, Xunjie Xie et al.
Journal of Agricultural and Food Chemistry
Tea Polyphenols and Effects
article

Network Pharmacology-Based Investigation of the Mechanism of Liupao Tea Polyphenol Extract in Preventing MAFLD via the Hepatic EGFR–AKT Pathway

Yiqi Fan, Xiaozheng He, Jingyi Huang, Xunjie Xie, Xiayu Jin, Chengtao Nie, Xia Yang, Jirui Wei, Luyao Song, Qingyao Du, Junda Huang, W M Tang, Tao Li, Tingting Shi, Yuxin Huang
article en

Abstract

Epidemiological studies indicate that Metabolic Associated Fatty Liver Disease (MAFLD) has become the most prevalent chronic liver disease globally. Identifying bioactive molecules from natural plants that can prevent and ameliorate MAFLD is an effective approach to discovering new MAFLD therapeutics. Liupao tea possesses antioxidant and metabolic regulatory properties. This study aimed to identify the active components of Liupao tea polyphenol extract (PLE), and its potential targets and mechanisms of action in the prevention of MAFLD. We performed experiments on MAFLD mice to establish the prevention efficacy of PLE against MAFLD and determine its optimal dosage. Furthermore, network pharmacology, molecular docking, and SPR were performed to predict that PLE's targets for preventing MAFLD concentrate on the hepatic EGFR target. Knockout of EGFR in hepatocytes attenuated the effects of PLE. These findings indicate that PLE inhibits lipid accumulation by downregulating the EGFR/pEGFR-AKT/pAKT-SREBP-1-ACC1 pathway through binding to the EGFR receptor, thereby preventing MAFLD.

Journal of Agricultural and Food ChemistryVol. 74(6)
Sun Yat-sen University (CN), ShenZhen People’s Hospital (CN), Ministry of Education (ME), Zhujiang Hospital (CN), China Shenhua Energy (China) (CN), Ministry of Education (BD), Tangshan Gongren Hospital (CN), Southern Medical University (CN), Fuzhou University (CN)
Good health and well-being
Openalex Percentile: Top 69%
Tea Polyphenols and Effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.