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Decoding the possible mechanism of action of Paeoniflorigenone in combating Aflatoxin B1-induced liver cancer: an investigation using network pharmacology and bioinformatics analysis.
Liang, Xiaocong; Yang, Huiling; Hu, Pengrong; Gan, Ziyan; Long, Shunqin; Wang, Sumei; Yang, Xiaobing.
Affiliation
  • Liang X; Interventional Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, PR China.
  • Yang H; The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
  • Hu P; The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China.
  • Gan Z; Oncology Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, PR China.
  • Long S; Oncology Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, PR China.
  • Wang S; Oncology Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, PR China.
  • Yang X; State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510120, PR China.
Toxicol Mech Methods ; : 1-25, 2024 Sep 30.
Article de En | MEDLINE | ID: mdl-39350351
ABSTRACT
Moutan cortex has demonstrated antitumor properties attributed to its bioactive compound Paeoniflorigenone (PA). Nevertheless, there is limited research on the efficacy of PA in the prevention and treatment of hepatocellular carcinoma (HCC). We aimed to investigate the potential pharmacological mechanisms of PA in the treatment of Aflatoxin B1 (AFB1)-induced hepatocarcinogenesis using network pharmacology and bioinformatics analysis approaches. Through various databases and bioinformatics analysis approaches, 34 shared targets were identified as potential candidate genes for PA in fighting liver cancer caused by AFB1. Pathway analysis revealed involvement in cell cycle, HIF-1, and Rap1 pathways. A risk assessment model was developed using LASSO regression, showing an association between the identified genes and the tumor immune microenvironment. The genes within the risk model were found to be linked to the immune response in liver cancer. Molecular docking studies indicated that PA interacts with its targets through hydrogen bonding and hydrophobic interactions. This study provides insights into the possible mechanisms of PA in liver cancer treatment and offers a predictive model for assessing the risk level of individuals with liver cancer. These findings have significant implications for the therapeutic strategies in managing liver cancer patients.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Toxicol Mech Methods Sujet du journal: TOXICOLOGIA Année: 2024 Type de document: Article Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Toxicol Mech Methods Sujet du journal: TOXICOLOGIA Année: 2024 Type de document: Article Pays de publication: Royaume-Uni