The Role of Emodin in the Treatment of Bladder Cancer Based on Network Pharmacology and Experimental Verification

被引:0
|
作者
Liu, Fule [1 ,2 ]
Li, Jianghao [1 ,2 ]
Zhou, Boruo [1 ,2 ]
Shen, Yang [3 ]
Tang, Jingyuan [2 ]
Han, Jie [2 ]
Chen, Changpeng [1 ,2 ]
Shao, Kang [1 ,2 ]
Chen, Haojie [1 ,2 ]
Yuan, Lin [2 ]
机构
[1] Nanjing Univ Chinese Med, Clin Med Coll 1, Nanjing 210023, Peoples R China
[2] Nanjing Univ Chinese Med, Jiangsu Prov Hosp Chinese Med, Dept Urol, Affiliated Hosp, Nanjing 210004, Peoples R China
[3] Nanjing Univ Chinese Med, Jiangsu Prov Chinese Med Hosp 2, Dept Urol, Affiliated Hosp 2, Nanjing 210017, Jiangsu, Peoples R China
关键词
Bladder cancer; emodin; network pharmacology; molecular docking; molecular mechanism; experimental verification; IN-VITRO; APOPTOSIS; CELLS; EGFR;
D O I
10.2174/0113862073294990240122140121
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background and Purpose Emodin, a compound derived from rhubarb and various traditional Chinese medicines, exhibits a range of pharmacological actions, including anti-inflammatory, antiviral, and anticancer properties. Nevertheless, its pharmacological impact on bladder cancer (BLCA) and the underlying mechanism are still unclear. This research aimed to analyze the pharmacological mechanisms of Emodin against BLCA using network pharmacology analysis and experimental verification.Methods Initially, network pharmacology was employed to identify core targets and associated pathways affected by Emodin in bladder cancer. Subsequently, the expression of key targets in normal bladder tissues and BLCA tissues was assessed by searching the GEPIA and HPA databases. The binding energy between Emodin and key targets was predicted using molecular docking. Furthermore, in vitro experiments were carried out to confirm the predictions made with network pharmacology.Results Our analysis identified 148 common genes targeted by Emodin and BLCA, with the top ten target genes including TP53, HSP90AA1, EGFR, MYC, CASP3, CDK1, PTPN11, EGF, ESR1, and TNF. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses indicated a significant correlation between Emodin and the PI3K-AKT pathway in the context of BLCA. Molecular docking investigations revealed a strong affinity between Emodin and critical target proteins. In vitro experiments demonstrated that Emodin inhibits T24 proliferation, migration, and invasion while inducing cell apoptosis. The findings also indicated that Emodin reduces both PI3K and AKT protein and mRNA expression, suggesting that Emodin may mitigate BLCA by modulating the PI3K-AKT signaling pathway.Conclusion This study integrates network pharmacology with in vitro experimentation to elucidate the potential mechanisms underlying the action of Emodin against BLCA. The results of this research enhance our understanding of the pharmacological mechanisms by which Emodin may be employed in treating BLCA.
引用
收藏
页码:1661 / 1675
页数:15
相关论文
共 50 条
  • [1] The potential mechanism of ursolic acid in the treatment of bladder cancer based on network pharmacology and molecular docking
    Huang, Xiao-Long
    Sun, Yan
    Wen, Peng
    Pan, Jun-Cheng
    He, Wei-Yang
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2024, 52 (03)
  • [2] Exploring the Targets and Molecular Mechanisms of Curcumin for the Treatment of Bladder Cancer Based on Network Pharmacology, Molecular Docking and Molecular Dynamics
    Li, Jun
    Feng, Shujie
    Wang, Xiong
    Zhang, Bingmei
    He, Qingmin
    MOLECULAR BIOTECHNOLOGY, 2024, : 2138 - 2159
  • [3] Study on the regulatory mechanism and experimental verification of icariin for the treatment of ovarian cancer based on network pharmacology
    Wang, Shuwan
    Gao, Jingjing
    Li, Qingyu
    Ming, Wanjun
    Fu, Yanjin
    Song, Linliang
    Qin, Jiajia
    JOURNAL OF ETHNOPHARMACOLOGY, 2020, 262
  • [4] Identifying the mechanism of polysaccharopeptide against breast cancer based on network pharmacology and experimental verification
    Xu, Cuixiang
    Sun, Lijun
    Wang, Huxia
    Sun, Jingying
    Feng, Yangmeng
    Wang, Xingguang
    Song, Zhangjun
    BMC CANCER, 2024, 24 (01)
  • [5] Mechanism and Experimental Verification of Luteolin for the Treatment of Osteoporosis Based on Network Pharmacology
    Liang, Guihong
    Zhao, Jinlong
    Dou, Yaoxing
    Yang, Yuan
    Zhao, Di
    Zhou, Zhanpeng
    Zhang, Rui
    Yang, Weiyi
    Zeng, Lingfeng
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [6] Evaluation of the Mechanism of Yishan Formula in Treating Breast Cancer Based on Network Pharmacology and Experimental Verification
    Lin, Xiaoyue
    Chi, Wencheng
    Geng, Xue
    Jiang, Qinghui
    Ma, Baozhu
    Dai, Bowen
    Sui, Yutong
    Jiang, Jiakang
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2024, 27 (17) : 2583 - 2597
  • [7] Mechanism of pachymic acid in the treatment of gastric cancer based on network pharmacology and experimental verification
    Du, Yu-Hua
    Zhao, Jian-Jun
    Li, Xia
    Huang, Shi-Cong
    Ning, Na
    Chen, Guo-Qing
    Yang, Yi
    Nan, Yi
    Yuan, Ling
    WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2024, 16 (01) : 30 - 50
  • [8] Mechanisms of Compound Kushen Injection for the treatment of bladder cancer based on bioinformatics and network pharmacology with experimental validation
    Zhang Li-Hui
    Zhang Wan-Ying
    Xiong Jia-Ming
    Duan Xiu-Mei
    Hai Li-Na
    Zhang Yu-Liang
    Zhang Miao-Miao
    Qin Gui-Fang
    Zhang Guo-Wei
    CHINESE JOURNAL OF NATURAL MEDICINES, 2022, 20 (01) : 43 - 53
  • [9] Molecular mechanism of Saikosaponin-d in the treatment of gastric cancer based on network pharmacology and in vitro experimental verification
    Ning, Na
    Li, Xiangyang
    Nan, Yi
    Chen, Guoqing
    Huang, Shicong
    Du, Yuhua
    Gu, Qian
    Li, Weiqiang
    Yuan, Ling
    NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 2024, 397 (11) : 8943 - 8959
  • [10] Exploring the Mechanism of Si-miao-yong-an Decoction in the Treatment of Coronary Heart Disease based on Network Pharmacology and Experimental Verification
    Zhang, Jingmei
    Xue, Siming
    Chen, Huan
    Jiang, Haixu
    Gao, Pengrong
    Lu, Linghui
    Wang, Qiyan
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2024, 27 (01) : 57 - 68