Exploring the efficacy and molecular mechanism of Danhong injection comprehensively in the treatment of idiopathic pulmonary fibrosis by combining meta-analysis, network pharmacology, and molecular docking methods

被引:0
|
作者
Wu, Xiaozheng [1 ]
Li, Wen [1 ]
Luo, Zhenliang [1 ]
Chen, Yunzhi [1 ]
机构
[1] Guizhou Univ Tradit Chinese Med, Dept Preclin Med, Guiyang 510025, Peoples R China
关键词
Danhong; idiopathic pulmonary fibrosis; meta-analysis; network pharmacology; MESENCHYMAL TRANSITION; KAEMPFEROL; PATHWAYS; LUTEOLIN; RECEPTOR; CELLS; PATHOGENESIS; EXPRESSION; LANDSCAPE; THERAPY;
D O I
10.1097/MD.0000000000038133
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Danhong injection, a compound injection of Chinese herbal medicine, has been widely used in idiopathic pulmonary fibrosis (IPF) at present as an adjuvant treatment. However, the clinical efficacy and molecular mechanism of IPF are still unclear. This study will evaluate and explore the clinical efficacy and molecular mechanism of Danhong injection in the treatment of IPF. Methods: In meta-analysis, the computer was used to search 8 databases (PubMed, EMbase, CENTRAL, MEDLINE, CBM, CNKI, WanFang, and VIP) to collect the RCTs, and RevMan 5.3 and Stata 14.0 were used for statistical analysis. It has been registered on PROSPERO: CRD42020221096. In network pharmacology, the main chemical components and targets of the chemical components of Danhong injection were obtained in TCMSP and Swiss Target Prediction databases. The main targets of IPF were obtained through Gencards, Disgenet, OMIM, TTD, and DRUGBANK databases. The String platform was used to construct PPI networks. Cytoscape 3.8.2 was used to construct the "Danhong components - IPF targets-pathways" network. The molecular docking verification was conducted by Auto Dock. Results: Twelve RCTs were finally included with a total of 896 patients. The meta-analysis showed that Danhong injection could improve the clinical efficiency ([OR] = 0.25, 95% CI [0.15, 0.41]), lung function, arterial blood gas analysis, inflammatory cytokines, and serum cytokines associated with pulmonary fibrosis of IPF patients, respectively (P < .05). The core active components of Danhong injection on IPF were Luteolin, Quercetin, and Kaempferol, and the core targets were PTGS2, AR, ESR1, PPARG, and RELA. Danhong injection mainly improved IPF through PD-L1 expression and PD-1 checkpoint path in cancer, pathways in cancer, PI3K-Akt signaling pathway, etc. Conclusion: These results provided scientific basis for the clinical use of Danhong injection for the treatment of IPF, and provided a new direction to explore the potential mechanism of action of Danhong injection.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Network pharmacology and molecular docking-based study on exploring the potential mechanism of Lycium barbarum L: In the treatment of atherosclerosis
    Qin, Xinchen
    Xie, Zikai
    Chen, Xi
    Wang, Xiaoxuan
    Ma, Lijuan
    MEDICINE, 2023, 102 (44) : E35734
  • [42] Exploring the mechanism of andrographolide in the treatment of gastric cancer through network pharmacology and molecular docking
    Yadav, Ravi Prakash
    Sadhukhan, Susanta
    Saha, Makhan Lal
    Ghosh, Sudakshina
    Das, Madhusudan
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [43] Investigating the multi-target pharmacological mechanism of danhong injection acting on unstable angina by combined network pharmacology and molecular docking
    Guo, Siyu
    Wu, Jiarui
    Zhou, Wei
    Liu, Xinkui
    Zhang, Jingyuan
    Jia, Shanshan
    Meng, Ziqi
    Liu, Shuyu
    Ni, Mengwei
    Liu, Yingying
    BMC COMPLEMENTARY MEDICINE AND THERAPIES, 2020, 20 (01) : 66
  • [44] Exploring the molecular mechanism of Nux Vomica in treating ischemic stroke using network pharmacology and molecular docking methods
    Zhang, Chengdong
    Gai, Jialin
    Fan, Xiaohua
    Lei, Junfang
    Tang, Jiqin
    MEDICINE, 2023, 102 (16) : E33625
  • [45] Exploring the mechanism of astragalus membranaceus in the treatment of multiple system atrophy based on network pharmacology and molecular docking
    Yang, Ni
    Qi, Xianghua
    Hu, Jing
    Teng, Jing
    Wang, Yuangeng
    Li, Chunlin
    MEDICINE, 2023, 102 (05) : E32523
  • [46] Combining network pharmacology, molecular docking, molecular dynamics simulation, and experimental verification to examine the efficacy and immunoregulation mechanism of FHB granules on vitiligo
    Li, Xiaolong
    Miao, Fengze
    Xin, Rujuan
    Tai, Zongguang
    Pan, Huijun
    Huang, Hao
    Yu, Junxia
    Chen, Zhongjian
    Zhu, Quangang
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [47] Exploring the pharmacological mechanism of Tripterygium wilfordii hook for treatment of Behcet's disease using network pharmacology and molecular docking
    Ye, Lihua
    Li, Changrong
    Zhao, Xiaoxia
    Ou, WeiHong
    Wang, Li
    Wan, Mengjie
    MEDICINE, 2023, 102 (42) : E34512
  • [48] Investigating the multi-target pharmacological mechanism of danhong injection acting on unstable angina by combined network pharmacology and molecular docking
    Siyu Guo
    Jiarui Wu
    Wei Zhou
    Xinkui Liu
    Jingyuan Zhang
    Shanshan Jia
    Ziqi Meng
    Shuyu Liu
    Mengwei Ni
    Yingying Liu
    BMC Complementary Medicine and Therapies, 20
  • [49] Exploring Molecular Targets and Mechanisms of Apigenin in the Treatment of Papillary Thyroid Carcinoma Based on Network Pharmacology and Molecular Docking Analysis
    Li, Dongyu
    Wang, Lei
    Jing, Yuchen
    Jiang, Bo
    Zhao, Lei
    Miao, Yuxi
    Xin, Shijie
    Ge, Chunlin
    NATURAL PRODUCT COMMUNICATIONS, 2022, 17 (10)
  • [50] Network Pharmacology, Molecular Docking Analysis and Molecular Dynamics Simulation of Scutellaria baicalensis in the Treatment of Liver Fibrosis
    Wang, Junrui
    Wu, Zhuoqing
    Chen, Xiaolei
    Sun, Ying
    Ma, Shuyao
    Weng, Jingdan
    Zhang, Yuxin
    Dong, Keke
    Shao, Jiangjuan
    Zheng, Shizhong
    CURRENT PHARMACEUTICAL DESIGN, 2024, 30 (17) : 1326 - 1340