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
  • [11] The Protein Data Bank
    Berman, HM
    Westbrook, J
    Feng, Z
    Gilliland, G
    Bhat, TN
    Weissig, H
    Shindyalov, IN
    Bourne, PE
    [J]. NUCLEIC ACIDS RESEARCH, 2000, 28 (01) : 235 - 242
  • [12] CASP3 gene expression and the role of caspase 3 in the pathogenesis of depressive disorders
    Blizniewska-Kowalska, Katarzyna
    Galecki, Piotr
    Szemraj, Janusz
    Su, Kuan-Pin
    Chang, Jane Pei-Chen
    Galecka, Malgorzata
    [J]. BMC PSYCHIATRY, 2023, 23 (01)
  • [13] The Somatic Genomic Landscape of Glioblastoma
    Brennan, Cameron W.
    Verhaak, Roel G. W.
    McKenna, Aaron
    Campos, Benito
    Noushmehr, Houtan
    Salama, Sofie R.
    Zheng, Siyuan
    Chakravarty, Debyani
    Sanborn, J. Zachary
    Berman, Samuel H.
    Beroukhim, Rameen
    Bernard, Brady
    Wu, Chang-Jiun
    Genovese, Giannicola
    Shmulevich, Ilya
    Barnholtz-Sloan, Jill
    Zou, Lihua
    Vegesna, Rahulsimham
    Shukla, Sachet A.
    Ciriello, Giovanni
    Yung, W. K.
    Zhang, Wei
    Sougnez, Carrie
    Mikkelsen, Tom
    Aldape, Kenneth
    Bigner, Darell D.
    Van Meir, Erwin G.
    Prados, Michael
    Sloan, Andrew
    Black, Keith L.
    Eschbacher, Jennifer
    Finocchiaro, Gaetano
    Friedman, William
    Andrews, David W.
    Guha, Abhijit
    Iacocca, Mary
    O'Neill, Brian P.
    Foltz, Greg
    Myers, Jerome
    Weisenberger, Daniel J.
    Penny, Robert
    Kucherlapati, Raju
    Perou, Charles M.
    Hayes, D. Neil
    Gibbs, Richard
    Marra, Marco
    Mills, Gordon B.
    Lander, Eric
    Spellman, Paul
    Wilson, Richard
    [J]. CELL, 2013, 155 (02) : 462 - 477
  • [14] Neuroinflammation and Schizophrenia
    Buckley, Peter F.
    [J]. CURRENT PSYCHIATRY REPORTS, 2019, 21 (08)
  • [15] Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways
    Chen, Lei
    Zhang, Yu-Hang
    Wang, ShaoPeng
    Zhang, YunHua
    Huang, Tao
    Cai, Yu-Dong
    [J]. PLOS ONE, 2017, 12 (09):
  • [16] Genomic instability, inflammatory signaling and response to cancer immunotherapy
    Chen, Mengting
    Linstra, Renske
    van Vugt, Marcel A. T. M.
    [J]. BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER, 2022, 1877 (01):
  • [17] cytoHubba: identifying hub objects and sub-networks from complex interactome
    Chin, Chia-Hao
    Chen, Shu-Hwa
    Wu, Hsin-Hung
    Ho, Chin-Wen
    Ko, Ming-Tat
    Lin, Chung-Yen
    [J]. BMC SYSTEMS BIOLOGY, 2014, 8
  • [18] Inflammation and cancer
    Coussens, LM
    Werb, Z
    [J]. NATURE, 2002, 420 (6917) : 860 - 867
  • [19] Swiss Target Prediction: updated data and new features for efficient prediction of protein targets of small molecules
    Daina, Antoine
    Michielin, Olivier
    Zoete, Vincent
    [J]. NUCLEIC ACIDS RESEARCH, 2019, 47 (W1) : W357 - W364
  • [20] From inflammation to sickness and depression: when the immune system subjugates the brain
    Dantzer, Robert
    O'Connor, Jason C.
    Freund, Gregory G.
    Johnson, Rodney W.
    Kelley, Keith W.
    [J]. NATURE REVIEWS NEUROSCIENCE, 2008, 9 (01) : 46 - 57