The multi-target mechanism of action of Selaginella doederleinii Hieron in the treatment of nasopharyngeal carcinoma: a network pharmacology and multi-omics analysis

被引:0
|
作者
Liang, Huaguo [1 ]
Fang, Caifu [1 ]
Qiu, Meng [1 ]
机构
[1] Sun Yat Sen Univ, Guangdong Prov Clin Res Ctr Canc, Canc Ctr, Guangdong Key Lab Nasopharyngeal Carcinoma Diag &, Guangzhou 510060, Peoples R China
来源
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词
<italic>Selaginella doederleinii</italic> Hieron; Nasopharyngeal carcinoma; Network pharmacology; Molecular dynamics simulation; MAPK14; PLK1; APOPTOSIS; EXTRACT;
D O I
10.1038/s41598-024-83921-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nasopharyngeal carcinoma (NPC) presents significant treatment challenges due to its complex etiology and late-stage diagnosis. The traditional Chinese medicine Selaginella doederleinii Hieron (S. doederleinii) has shown potentiality in NPC treatment due to its multi-target, multi-pathway anti-cancer mechanisms. First, we identified NPC related target genes from databases like GeneCards, OMIM, and DisGeNET, and performed WGCNA analysis on the GSE53819 dataset to identify several important gene modules related to NPC. Active components and their targets in S. doederleinii were screened from the TCMSP and other databases, identifying 32 overlapping genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that these genes are primarily involved in critical biological processes like protein phosphorylation and cell cycle regulation. A protein-protein interaction network was constructed, and cytoHubba identified six key genes (BCL2, MAPK14, ABCB1, PLK1, ATM, HMOX1). Kaplan-Meier analysis and immune infiltration analysis further showed that these key genes are closely related to the prognosis and immune microenvironment of NPC patients. Single-cell RNA sequencing analysis revealed the expression distribution of key genes across different immune cell types and explored their roles in the differentiation process of malignant cells through pseudotime trajectory analysis. Molecular docking and dynamics simulation results indicated that the Berberine-MAPK14 and Matairesinol-PLK1 complexes have high binding affinity and stability. Binding free energy calculations confirmed the stability of these complexes. Based on our comprehensive multi-level analysis, the active components of S. doederleinii may play a significant role in the treatment of NPC through multi-pathway and multi-target synergistic effects.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Network analysis with multi-omics data using graphical LASSO
    Park, Jaehyun
    Won, Sungho
    GENETIC EPIDEMIOLOGY, 2020, 44 (05) : 509 - 509
  • [32] Exploring the therapeutic potency of cryptotanshinone in cervical cancer: a multi-omics and network pharmacology approach
    Lu, Zenghong
    Zhu, Gangfeng
    Feng, Xiaofei
    Xiang, Yi
    Chen, Cixiang
    Yuan, Huiting
    Chen, Zhixing
    FRONTIERS IN GENETICS, 2024, 15
  • [33] Exploring the efficacious constituents and underlying mechanisms of sini decoction for sepsis treatment through network pharmacology and multi-omics
    Gu, Yang
    Li, Ziying
    Li, Han
    Yi, Xiaoling
    Liu, Xun
    Zhang, Yan
    Gong, Shu
    Yu, Tao
    Li, Li
    PHYTOMEDICINE, 2024, 123
  • [34] A Network Pharmacology Study of Chinese Medicine QiShenYiQi to Reveal Its Underlying Multi-Compound, Multi-Target, Multi-Pathway Mode of Action
    Li, Xiang
    Wu, Leihong
    Liu, Wei
    Jin, Yecheng
    Chen, Qian
    Wang, Linli
    Fan, Xiaohui
    Li, Zheng
    Cheng, Yiyu
    PLOS ONE, 2014, 9 (05):
  • [35] Advances in Integrated Multi-omics Analysis for Drug-Target Identification
    Du, Peiling
    Fan, Rui
    Zhang, Nana
    Wu, Chenyuan
    Zhang, Yingqian
    BIOMOLECULES, 2024, 14 (06)
  • [36] Multi-omics in cardiomyopathies causing heart failure: from mechanism to treatment
    Yao, Chen
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2024, 11
  • [37] Comprehensive molecular characteristics of hepatocellular carcinoma based on multi-omics analysis
    Wang, Ying-Ying
    Yang, Wan-Xia
    Cai, Jiang-Ying
    Wang, Fang-Fang
    You, Chong-Ge
    BMC CANCER, 2025, 25 (01)
  • [38] Multi-Omics Integration Analysis Revealed the Seed Germination Mechanism of Pecan
    Xue, T.
    Qiu, S.
    Yang, C.
    Tang, X.
    Liu, J.
    Yuan, Y.
    RUSSIAN JOURNAL OF PLANT PHYSIOLOGY, 2024, 71 (04)
  • [39] Antifungal Activity and Multi-Target Mechanism of Action of Methylaervine on Candida albicans
    Liu, Jinyi
    Wang, Luyao
    Sun, Yifan
    Xiong, Yingyan
    Li, Runchu
    Sui, Meixia
    Gao, Zhenzhen
    Wang, Wei
    Sun, Hao
    Dai, Jiangkun
    MOLECULES, 2024, 29 (18):
  • [40] Investigating the Multi-Target Pharmacological Mechanism of Hedyotis diffusa Willd Acting on Prostate Cancer: A Network Pharmacology Approach
    Song, Yanan
    Wang, Haiyan
    Pan, Yajing
    Liu, Tonghua
    BIOMOLECULES, 2019, 9 (10)