Exploring the potential antidepressant mechanisms of ibuprofen and celecoxib based on network pharmacology and molecular docking

被引:0
作者
Zhang, Qiuyu [1 ,2 ]
Yang, Lei [1 ,2 ]
Li, Chao [1 ,2 ]
Zhang, Ying [1 ,2 ]
Li, Ranli [1 ,2 ]
Jia, Feng [1 ,2 ]
Wang, Lina [1 ,2 ]
Ma, Xiaoyan [1 ,2 ]
Yao, Kaifang [1 ,2 ]
Tian, Hongjun [3 ]
Zhuo, Chuanjun [1 ,2 ]
机构
[1] Tianjin Med Univ, Nankai Univ, Tianjin Anding Hosp, Affiliated Tianjin Anding Hosp,Affiliated Tianjin, 13 Liulin Rd, Tianjin 300222, Peoples R China
[2] Tianjin Med Univ, Tianjin Anding Hosp, Tianjin Mental Hlth Ctr, Lab Psychiat Neuroimaging Genet & Comorbid PNGC La, Tianjin 300222, Peoples R China
[3] Nankai Univ, Tianjin Med Univ, Tianjin Ctr Hosp 4, Affiliated Tianjin Ctr Hosp 4,Anim Imaging Ctr AIC, Tianjin 300140, Peoples R China
基金
中国国家自然科学基金;
关键词
Ibuprofen; Celecoxib; Depressive disorder; Network pharmacology; Target; Molecular docking; MAJOR DEPRESSIVE DISORDER; C-REACTIVE PROTEIN; DOUBLE-BLIND; ADJUNCTIVE CELECOXIB; INFLAMMATION; GENE; PATHWAYS; TARGET; SCHIZOPHRENIA; ASSOCIATIONS;
D O I
10.1016/j.jad.2025.02.053
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Evidence has shown that ibuprofen and celecoxib are effective in improving depressive symptoms, but their mechanisms of action are unclear. In this study, we aimed to determine the relationship between these two drugs and depressive disorder (DD) and elucidate potential mechanisms of action. Methods: Relevant targets for ibuprofen, celecoxib, and DD were obtained and screened from multiple online drug and disease public databases. A protein-protein interaction network was obtained. The Centiscape and CytoHubba plug-ins were applied to screen for core targets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed. Molecular docking was performed to predict the binding of ibuprofen and celecoxib to core targets. Examined the differences in core target protein expression between DD patients (DDs, n = 18) and healthy controls (HCs, n = 16) as a further experimental validation of the network pharmacology results. Results: In total, 220 potential targets for ibuprofen and 316 potential targets for celecoxib were identified and associated with DD. The antidepressant effects of both drugs involve many key targets in pathways such as "pathways in cancer" and "neuroactive ligand-receptor interaction," including ALB, BCL2, MAPK3, SRC, STAT3, EGFR, and PPARG. The binding affinity of ALB with ibuprofen is the strongest, and it is connected only by hydrophobic interactions. Celecoxib exhibits higher affinity at multiple targets such as SRC, EGFR, and PPARG, with stronger and more specific intermolecular interactions, including salt bridges and halogen bonds. Clinical trials have found that serum ALB expression in DDs is significantly lower than that in HCs (t = 6.653, p < 0.001), further confirming the potential role of ibuprofen in DD. Conclusions: Ibuprofen and celecoxib primarily exert their antidepressant effects through targets and pathways related to inflammation, neural signaling, and cancer, with celecoxib showing a stronger potential antidepressant effect. The expression difference of the core target ALB between depression and healthy individuals further supports the potential effect of the drug on DD. Our findings propose new treatment strategies, support the link between inflammation and depression, and encourage reassessing existing medications for depression.
引用
收藏
页码:136 / 147
页数:12
相关论文
共 107 条
  • [91] Inhibition of Brain Epidermal Growth Factor Receptor Activation: A Novel Target in Neurodegenerative Diseases and Brain Injuries
    Tavassoly, Omid
    Sato, Takashi
    Tavassoly, Iman
    [J]. MOLECULAR PHARMACOLOGY, 2020, 98 (01) : 13 - 22
  • [92] Software News and Update AutoDock Vina: Improving the Speed and Accuracy of Docking with a New Scoring Function, Efficient Optimization, and Multithreading
    Trott, Oleg
    Olson, Arthur J.
    [J]. JOURNAL OF COMPUTATIONAL CHEMISTRY, 2010, 31 (02) : 455 - 461
  • [93] Non-steroidal anti-inflammatory drugs and efficacy of antidepressants in major depressive disorder
    Uher, R.
    Carver, S.
    Power, R. A.
    Mors, O.
    Maier, W.
    Rietschel, M.
    Hauser, J.
    Dernovsek, M. Z.
    Henigsberg, N.
    Souery, D.
    Placentino, A.
    Farmer, A.
    McGuffin, P.
    [J]. PSYCHOLOGICAL MEDICINE, 2012, 42 (10) : 2027 - 2035
  • [94] Lower total serum protein, albumin, and beta- and gamma-globulin in major and treatment-resistant depression: Effects of antidepressant treatments
    VanHunsel, F
    Wauters, A
    Vandoolaeghe, E
    Neels, H
    Demedts, P
    Maes, M
    [J]. PSYCHIATRY RESEARCH, 1996, 65 (03) : 159 - 169
  • [95] Potential mechanisms underlying the therapeutic roles of sinisan formula in depression: Based on network pharmacology and molecular docking study
    Wang, Hui
    Liu, Jiaqin
    He, Jinbiao
    Huang, Dengxia
    Xi, Yujiang
    Xiao, Ting
    Ouyang, Qian
    Zhang, Shiwei
    Wan, Siyan
    Chen, Xudong
    [J]. FRONTIERS IN PSYCHIATRY, 2022, 13
  • [96] High-frequency repetitive transcranial magnetic stimulation improves depressive-like behaviors in CUMS-induced rats by modulating astrocyte GLT-1 to reduce glutamate toxicity
    Wang, Xiaonan
    Zhang, Fuping
    Niu, Le
    Yan, Junni
    Liu, Huanhuan
    Wang, Di
    Hui, Juan
    Dai, Haiyue
    Song, Jinggui
    Zhang, Zhaohui
    [J]. JOURNAL OF AFFECTIVE DISORDERS, 2024, 348 : 265 - 274
  • [97] Association between increased inflammatory cytokine expression in the lateral habenular nucleus and depressive-like behavior induced by unpredictable chronic stress in rats
    Wang, Yachun
    Qu, Peng
    Sun, Yimeng
    Li, Ziang
    Liu, Lei
    Yang, Limin
    [J]. EXPERIMENTAL NEUROLOGY, 2022, 349
  • [98] Inflammation and Brain Structure in Schizophrenia and Other Neuropsychiatric Disorders A Mendelian Randomization Study
    Williams, John A.
    Burgess, Stephen
    Suckling, John
    Lalousis, Paris Alexandros
    Batool, Fatima
    Griffiths, Sian Lowri
    Palmer, Edward
    Karwath, Andreas
    Barsky, Andrey
    Gkoutos, Georgios, V
    Wood, Stephen
    Barnes, Nicholas M.
    David, Anthony S.
    Donohoe, Gary
    Neill, Joanna C.
    Deakin, Bill
    Khandaker, Golam M.
    Upthegrove, Rachel
    [J]. JAMA PSYCHIATRY, 2022, 79 (05) : 498 - 507
  • [99] DrugBank:: a comprehensive resource for in silico drug discovery and exploration
    Wishart, David S.
    Knox, Craig
    Guo, An Chi
    Shrivastava, Savita
    Hassanali, Murtaza
    Stothard, Paul
    Chang, Zhan
    Woolsey, Jennifer
    [J]. NUCLEIC ACIDS RESEARCH, 2006, 34 : D668 - D672
  • [100] HMGB1/STAT3/p65 axis drives microglial activation and autophagy exert a crucial role in chronic Stress-Induced major depressive disorder
    Xu, Ke
    Wang, Mingyang
    Wang, Haiyang
    Zhao, Shuang
    Tu, Dianji
    Gong, Xue
    Li, Wenxia
    Liu, Xiaolei
    Zhong, Lianmei
    Chen, Jianjun
    Xie, Peng
    [J]. JOURNAL OF ADVANCED RESEARCH, 2024, 59 : 79 - 96