Elucidating the anti-fibrotic mechanisms of Abrus cantoniensis in hepatic fibrosis using network pharmacology and proteomics

This study aimed to elucidate the effects and underlying mechanisms of Abrus cantoniensis in treating mice hepatic fibrosis, thereby providing a rationale for its clinical application. To investigate A. cantoniensis effects in hepatic fibrosis, we established a carbon tetrachloride-induced mouse model validated by histopathology. Potential active compounds were revealed through LC-MS, and core targets were identified by network pharmacology integrated with proteomics. Validation was performed using molecular docking, molecular dynamics, and immunohistochemistry. Histopathology confirmed the anti-hepatic fibrosis effects of A. cantoniensis. The LC-MS analysis identified 420 compounds, while network pharmacology and proteomics revealed 208 and 738 key targets, respectively. Functional enrichment revealed that these targets were involved in hepatic fibrosis-related processes. Intersecting both analyses identified four core targets: BRAF, CDK2, DNMT1, and PDGFRB. Molecular docking and dynamics simulations demonstrated strong and stable binding between the potential active compounds and these targets, which was further validated by immunohistochemistry showing suppressed expression of the targets. Our integrated multi-omics study elucidated that the anti-hepatic fibrosis effect of A. cantoniensis was mediated by the core targets BRAF, CDK2, DNMT1, and PDGFRB, thus supporting its development as a standardized phytomedicine.

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Publication Details

Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-33640-0
Primary Topic
Toxin Mechanisms and Immunotoxins
Type
article
Field-Weighted Citation Impact
0.00

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article

Elucidating the anti-fibrotic mechanisms of Abrus cantoniensis in hepatic fibrosis using network pharmacology and proteomics

Jiahui Wang, Zheng Yang, H. Xiao, Liang Liang et al.
Scientific Reports
Toxin Mechanisms and Immunotoxins
article

Elucidating the anti-fibrotic mechanisms of Abrus cantoniensis in hepatic fibrosis using network pharmacology and proteomics

Jiahui Wang, Zheng Yang, H. Xiao, Liang Liang, Yaxuan Qin, Lei Wang
article en

Abstract

This study aimed to elucidate the effects and underlying mechanisms of Abrus cantoniensis in treating mice hepatic fibrosis, thereby providing a rationale for its clinical application. To investigate A. cantoniensis effects in hepatic fibrosis, we established a carbon tetrachloride-induced mouse model validated by histopathology. Potential active compounds were revealed through LC-MS, and core targets were identified by network pharmacology integrated with proteomics. Validation was performed using molecular docking, molecular dynamics, and immunohistochemistry. Histopathology confirmed the anti-hepatic fibrosis effects of A. cantoniensis. The LC-MS analysis identified 420 compounds, while network pharmacology and proteomics revealed 208 and 738 key targets, respectively. Functional enrichment revealed that these targets were involved in hepatic fibrosis-related processes. Intersecting both analyses identified four core targets: BRAF, CDK2, DNMT1, and PDGFRB. Molecular docking and dynamics simulations demonstrated strong and stable binding between the potential active compounds and these targets, which was further validated by immunohistochemistry showing suppressed expression of the targets. Our integrated multi-omics study elucidated that the anti-hepatic fibrosis effect of A. cantoniensis was mediated by the core targets BRAF, CDK2, DNMT1, and PDGFRB, thus supporting its development as a standardized phytomedicine.

Scientific ReportsVol. 16(1)
Guangxi University (CN), Guangxi University of Chinese Medicine (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province, Guangxi University
Openalex Percentile: Top 36%
Toxin Mechanisms and Immunotoxins
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Elucidating the anti-fibrotic mechanisms of Abrus cantoniensis in hepatic fibrosis using network pharmacology and proteomics — Jiahui Wang, Zheng Yang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS