Exploring the mechanism of metformin action in Alzheimer's disease and type 2 diabetes based on network pharmacology, molecular docking, and molecular dynamic simulation

被引:6
|
作者
Shi, Xin [2 ]
Li, Lingling [2 ]
Liu, Zhiyao [2 ]
Wang, Fangqi [2 ]
Huang, Hailiang [1 ]
机构
[1] Shandong Univ Tradit Chinese Med, 4655 Guyunhu St, Jinan, Shandong, Peoples R China
[2] Shandong Univ Tradit Chinese Med, Jinan, Shandong, Peoples R China
关键词
Alzheimer's disease; metformin; network pharmacology; molecular docking; type; 2; diabetes; OXIDATIVE STRESS; HEPATIC GLUCONEOGENESIS; CATALASE; RISK; ROS; TRANSPORTER; DYSFUNCTION; INDUCTION; DEMENTIA; LIVER;
D O I
10.1177/20420188231187493
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background:Metformin, which has been shown to be highly effective in treating type 2 diabetes (T2D), is also believed to be valuable for Alzheimer's disease (AD). Computer simulation techniques have emerged as an innovative approach to explore mechanisms.Objective:To study the potential mechanism of metformin action in AD and T2D.Methods:The chemical structure of metformin was obtained from PubChem. The targets of metformin were obtained from PubChem, Pharm Mapper, Batman, SwissTargetPrediction, DrugBank, and PubMed. The pathogenic genes of AD and T2D were retrieved from the GeneCards, OMIM, TTD, Drugbank, PharmGKB, and DisGeNET. The intersection of metformin with the targets of AD and T2D is represented by a Venn diagram. The protein-protein interaction (PPI) and core targets networks of intersected targets were constructed by Cytoscape 3.7.1. The enrichment information of GO and Kyoto Encyclopedia of Gene and Genomics (KEGG) pathways obtained by the Metascape was made into a bar chart and a bubble diagram. AutoDockTools, Pymol, and Chem3D were used for the molecular docking. Gromacs software was used to perform molecular dynamics (MD) simulation of the best binding target protein.Results:A total of 115 key targets of metformin for AD and T2D were obtained. GO analysis showed that biological process mainly involved response to hormones and the regulation of ion transport. Cellular component was enriched in the cell body and axon. Molecular function mainly involved kinase binding and signal receptor regulator activity. The KEGG pathway was mainly enriched in pathways of cancer, neurodegeneration, and endocrine resistance. Core targets mainly included TP53, TNF, VEGFA, HIF1A, IL1B, IGF1, ESR1, SIRT1, CAT, and CXCL8. The molecular docking results showed best binding of metformin to CAT. MD simulation further indicated that the CAT-metformin complex could bind well and converge relatively stable at 30 ns.Conclusion:Metformin exerts its effects on regulating oxidative stress, gluconeogenesis and inflammation, which may be the mechanism of action of metformin to improve the common pathological features of T2D and AD.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Exploring the potential mechanism of Polygonatum sibiricum for Alzheimer's disease based on network pharmacology and molecular docking: An observational study
    Luo, Liangliang
    Pan, Yao
    Chen, Fang
    Zhang, Zhihong
    MEDICINE, 2024, 103 (52) : e40726
  • [2] 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
  • [3] Integration of network pharmacology and molecular docking to explore the molecular mechanism of Cordycepin in the treatment of Alzheimer's disease
    Ma, Xiaoying
    Zhao, Ying
    Yang, Tao
    Gong, Na
    Chen, Xun
    Liu, Guoli
    Xiao, Jun
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [4] Molecular mechanism of Acanthopanax senticosus in the treatment of Alzheimer's disease based on network pharmacology and molecular docking
    Kuang, Feng
    Xiang, Tao
    MOLECULAR DIVERSITY, 2023, 27 (06) : 2849 - 2865
  • [5] Exploring the protective effect and molecular mechanism of betulin in Alzheimer's disease based on network pharmacology, molecular docking and experimental validation
    Wang, Na
    Cui, Jiali
    Sun, Ziteng
    Chen, Fan
    He, Xiaping
    MOLECULAR MEDICINE REPORTS, 2024, 30 (06)
  • [6] Network Pharmacology and Molecular Docking Perspectives into Lignans for Alzheimer's Disease Treatment
    Sirin, Seda
    Dolanbay, Serap Nigdelioglu
    KSU TARIM VE DOGA DERGISI-KSU JOURNAL OF AGRICULTURE AND NATURE, 2024, 27 (01): : 35 - 58
  • [7] Exploring the mechanism of action of Phyllanthus emblica in the treatment of epilepsy based on network pharmacology and molecular docking
    Xiao, Longfei
    Chen, Wenjun
    Guo, Wenlong
    Li, Hailin
    Chen, Rong
    Chen, Qinghua
    MEDICINE, 2025, 104 (07) : e41414
  • [8] Exploring the Mechanism of Arctium Lappa L. Leaves in the Treatment of Alzheimer's Disease Based on Chemical Profile, Network Pharmacology and Molecular Docking
    Mu, Shou-chen
    Xue, Deng-feng
    Qin, Xue-mei
    Du, Guan-hua
    Zhou, Yu-zhi
    ADVANCED BIOLOGY, 2023, 7 (08):
  • [9] Astragalin improves cognitive disorder in Alzheimer's disease: Based on network pharmacology and molecular docking simulation
    Du, Rui
    Pei, Hongyan
    He, Zhongmei
    Wang, Jin
    Zhou, Xiaohong
    Li, Wenyan
    Zhu, Diwei
    Zhang, Caiqun
    CNS NEUROSCIENCE & THERAPEUTICS, 2024, 30 (08)
  • [10] Network Pharmacology, Molecular Docking, and Molecular Dynamics Study to Explore the Effect of Resveratrol on Type 2 Diabetes
    Martinez-Esquivias, Fernando
    Guzman-Flores, Juan Manuel
    Reyes-Chaparro, Andres
    Sanchez-Enriquez, Sergio
    Anaya-Esparza, Luis Miguel
    JOURNAL OF CELLULAR BIOCHEMISTRY, 2025, 126 (01)