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Potential anti-liver cancer targets and mechanisms of kaempferitrin based on network pharmacology, molecular docking and experimental verification.
Zhou, Siyu; Zhang, Huidong; Li, Jiao; Li, Wei; Su, Min; Ren, Yao; Ge, Fanglan; Zhang, Hong; Shang, Hongli.
Afiliação
  • Zhou S; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Zhang H; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Li J; College of Life Science, Sichuan Normal University, Chengdu, 610101, China. Electronic address: jiaoli@sicnu.edu.cn.
  • Li W; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Su M; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Ren Y; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Ge F; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Zhang H; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
  • Shang H; College of Life Science, Sichuan Normal University, Chengdu, 610101, China.
Comput Biol Med ; 178: 108693, 2024 Aug.
Article em En | MEDLINE | ID: mdl-38850960
ABSTRACT

AIM:

Kaempferitrin is an active component in Chenopodium ambrosioides, showing medicinal functions against liver cancer. This study aimed to identify the potential targets and pathways of kaempferitrin against liver cancer using network pharmacology and molecular docking, and verify the essential hub targets and pathway in mice model of SMMC-7721 cells xenografted tumors and SMMC-7721 cells.

METHODS:

Kaempferitrin therapeutical targets were obtained by searching SwissTargetPrediction, PharmMapper, STITCH, DrugBank, and TTD databases. Liver cancer specific genes were obtained by searching GeneCards, DrugBank, TTD, OMIM, and DisGeNET databases. PPI network of "kaempferitrin-targets-liver cancer" was constructed to screen the hub targets. GO, KEGG pathway and MCODE clustering analyses were performed to identify possible enrichment of genes with specific biological subjects. Molecular docking and molecular dynamics simulation were employed to determine the docking pose, potential and stability of kaempferitrin with hub targets. The potential anti-liver cancer mechanisms of kaempferitrin, as predicted by network pharmacology analyses, were verified by in vitro and in vivo experiments.

RESULTS:

228 kaempferitrin targets and 2186 liver cancer specific targets were identified, of which 50 targets were overlapped. 8 hub targets were identified through network topology analysis, and only SIRT1 and TP53 had a potent binding activity with kaempferitrin as indicated by molecular docking and molecular dynamics simulation. MCODE clustering analysis revealed the most significant functional module of PPI network including SIRT1 and TP53 was mainly related to cell apoptosis. GO and KEGG enrichment analyses suggested that kaempferitrin exerted therapeutic effects on liver cancer possibly by promoting apoptosis via p21/Bcl-2/Caspase 3 signaling pathway, which were confirmed by in vivo and in vitro experiments, such as HE staining of tumor tissues, CCK-8, qRT-PCR and Western blot.

CONCLUSION:

This study provided not only insight into how kaempferitrin could act against liver cancer by identifying hub targets and their associated signaling pathways, but also experimental evidence for the clinical use of kaempferitrin in liver cancer treatment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Quempferóis / Simulação de Acoplamento Molecular / Neoplasias Hepáticas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Quempferóis / Simulação de Acoplamento Molecular / Neoplasias Hepáticas Idioma: En Ano de publicação: 2024 Tipo de documento: Article