Molecular Mechanism of Ginseng-Schisandrae Herb Pair in Improving Neurodegenerative Disease on a Network Pharmacology and Molecular Docking

被引:0
|
作者
Ding, Zemin [1 ]
Hong, Xia [2 ]
Li, Xiaohui [3 ]
Wang, Yueyue [2 ]
机构
[1] Chengde Med Univ, Inst Basic Med, Chengde 067000, Hebei, Peoples R China
[2] Chengde Med Univ, Hebei Key Lab Study & Exploitat Chinese Med, Chengde 067000, Hebei, Peoples R China
[3] Henan Univ CM, Affiliated Hosp 1, Dept Cardiovasc, Zhengzhou 450099, Henan, Peoples R China
关键词
Panax Ginseng; NDD; medicine; network pharmacology; molecular docking; PANAX-GINSENG; ALZHEIMERS-DISEASE; OXIDATIVE STRESS; CELL-DEATH; CHINENSIS; IDENTIFICATION; SCHISANTHERIN; BIOMEDICINE; PREDICTION; CULTURES;
D O I
10.23812/j.biol.regul.homeost.agents.20233703.142
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: This study aims to explore the active components of Panax Ginseng (PG)-Schisandrae Chinensis Fructus (SC) and reveal the mechanism of improving neurodegenerative diseases (NDD) based on network pharmacology and molecular docking. Methods: Detailed information about the PG-SC herbal pair was obtained from traditional Chinese medicine systems pharmacology (TCMSP) and screened using OB (oral bioavailability) >= 30% and DL (drug-likeness) >= 0.18 as criteria. Genes were collected using OMIM, Genecards, and PharmGKB (Pharmacogenetics and Pharmacogenomics Knowledge Base) methods. The string database was utilized to obtain protein-protein interaction (PPI) data. The core targets were entered into the "Data Source" of the eFP (electronic Fluorescent Pictograph) browser (http://bar.utoronto.ca/efp_human/) for organ localization and created a target-organ localization map. We constructed and analyzed the network using Cytoscape 3.9.1 (National Institute of General Medical Sciences, Bethesda, MD, USA). Encyclopedia of genomes (KEGG) pathway-enriched targets were used for analysis. After identifying the core network, a protein-protein interaction (PPI) network of PG-SC targets was constructed. Autodock Vina and PyMOL software were used to validate the results for its active ingredients and key targets. Results: There were 14 active ingredients in Ginseng and 8 in Schisandra, with 8320 corresponding protein targets and 80 common targets with neurodegenerative diseases (NDD), of which 21 highly abundant targets were highly expressed in the brain. Six core targets were identified, including AKT1 (RAC-alpha serine/threonine-protein kinase), CASP3 (Caspase 3), MAPK8 (Mitogen-Activated Protein Kinase 8), 1L1B (Interleukin 1 Beta), JUN (Jun Proto-Oncogene, AP-1 Transcription Factor Subunit), and PTGS2 (Prostaglandin-Endoperoxide Synthase 2). The 142 KEGG signaling pathways were enriched, including the pathways of neurodegeneration-multiple diseases and neuroactive ligand-receptor interaction. Molecular docking confirmed that the core targets (AKT1, CASP3, MAPK8, 1L1B, JUN, PTGS2) could bind to the active compounds (Kaempferol, Beta_sitosterol, Conclusions: Based on network pharmacology and molecular docking, the PG-SC herbal pair could act on NDD through neuronal programmed cell death targets and related signaling pathways. Our findings provide the basis for further research using herbs to treat NDD and develop anti-NDD drugs.
引用
收藏
页码:1427 / 1441
页数:15
相关论文
共 50 条
  • [21] Molecular mechanism of Acanthopanax senticosus in the treatment of Alzheimer’s disease based on network pharmacology and molecular docking
    Feng Kuang
    Tao Xiang
    Molecular Diversity, 2023, 27 : 2849 - 2865
  • [22] Effects and mechanisms of Zhizi Chuanxiong herb pair against atherosclerosis: an integration of network pharmacology, molecular docking, and experimental validation
    Yan Zhang
    Yifei Qi
    Zijun Jia
    Yiming Li
    Liqi Wu
    Qingbing Zhou
    Fengqin Xu
    Chinese Medicine, 19
  • [23] Effects and mechanisms of Zhizi Chuanxiong herb pair against atherosclerosis: an integration of network pharmacology, molecular docking, and experimental validation
    Zhang, Yan
    Qi, Yifei
    Jia, Zijun
    Li, Yiming
    Wu, Liqi
    Zhou, Qingbing
    Xu, Fengqin
    CHINESE MEDICINE, 2024, 19 (01)
  • [24] Molecular Targets and Mechanisms of Hedyotis diffusa-Scutellaria barbata Herb Pair for the Treatment of Colorectal Cancer Based on Network Pharmacology and Molecular Docking
    Yang, Zhenpeng
    Lu, Shuai
    Tang, Huazhen
    Qu, Jinxiu
    Wang, Bing
    Wang, Yuying
    Pan, Guofeng
    Rao, Benqiang
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2022, 2022
  • [25] Molecular mechanism of lycorine in the treatment of glioblastoma based on network pharmacology and molecular docking
    Jie Su
    Mengmeng Huo
    Fengnan Xu
    Liqiong Ding
    Naunyn-Schmiedeberg's Archives of Pharmacology, 2024, 397 : 1551 - 1559
  • [26] Molecular mechanism of lycorine in the treatment of glioblastoma based on network pharmacology and molecular docking
    Su, Jie
    Huo, Mengmeng
    Xu, Fengnan
    Ding, Liqiong
    NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 2024, 397 (03) : 1551 - 1559
  • [27] Potential Molecular Mechanisms of Ephedra Herb in the Treatment of Nephrotic Syndrome Based on Network Pharmacology and Molecular Docking
    Yao, Tianwen
    Wang, Qingliang
    Han, Shisheng
    Lu, Yan
    Xu, Yanqiu
    Wang, Yi
    BIOMED RESEARCH INTERNATIONAL, 2022, 2022
  • [28] Network Pharmacology and Molecular Docking-Based Prediction of the Molecular Targets and Signaling Pathways of Ginseng in the Treatment of Parkinson's Disease
    Zhang, Wei
    Chen, Jingya
    Liu, Hongquan
    NATURAL PRODUCT COMMUNICATIONS, 2022, 17 (05)
  • [29] Exploring the mechanism of active components from ginseng to manage diabetes mellitus based on network pharmacology and molecular docking
    Li, Ming-han
    Jin, Ming-hui
    Hu, Rui-yi
    Tang, Shan
    Li, Ke-ke
    Gong, Xiao-Jie
    Sun, Yin-shi
    Wang, Ying-ping
    Wang, Zi
    Li, Wei
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [30] Exploring the mechanism of active components from ginseng to manage diabetes mellitus based on network pharmacology and molecular docking
    Ming-han Li
    Ming-hui Jin
    Rui-yi Hu
    Shan Tang
    Ke-ke Li
    Xiao-Jie Gong
    Yin-shi Sun
    Ying-ping Wang
    Zi Wang
    Wei Li
    Scientific Reports, 13