Li Chao, Zhuo Chuanjun, Ma Xiaoyan, Li Ranli, Chen Ximing, Li Yachen, Zhang Qiuyu, Yang Lei, Wang Lina
Computational Biology Center (CBC), Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China.
Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PGNP_Lab), Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China.
Schizophrenia (Heidelb). 2024 Sep 30;10(1):80. doi: 10.1038/s41537-024-00504-x.
The treatment of cognitive impairment in schizophrenia is an unaddressed need due to the absence of novel treatments. Recent studies demonstrated that fingolimod and siponimod have neuroprotective effects in several neuropsychiatric disorders; however, their pharmacological mechanisms are unclear. The objective of this study was to identify potential molecular mechanisms of fingolimod and siponimod for improving cognition of schizophrenia through network pharmacology and molecular docking. The putative target genes of ingredients, schizophrenia, and impaired cognition were obtained from online databases, including SwissTargetPrediction, PharmMapper, GeneCards, CTD, DisGeNET, and OMIM. A protein-protein interaction network was constructed to identify core targets. The DAVID database was used for GO and KEGG pathway enrichment analyses. An ingredient-target-pathway-disease network was constructed using Cytoscape. Finally, the interactions between ingredients and core targets were assessed with molecular docking. The analysis revealed 260 targets shared by fingolimod and siponimod, 257 unique targets for fingolimod, and 88 unique targets for siponimod. Two signaling pathways were involved in fingolimod-mediated improvements in the cognition of schizophrenia, including the PI3K-Akt and MAPK signaling pathways. The core targets that regulated these two pathways included IL1B, AKT1, TNF, IL6, INS, BCL2, and BDNF. The MAPK signaling pathway was involved in siponimod-mediated improvement in the cognition of schizophrenia. The MAPK pathway was regulated by three core targets, namely TNF, AKT1, and CASP3. Docking scores ranged from -5.0 to -10.4 kcal/mol. Our analysis revealed that fingolimod regulates the PI3K-Akt and MAPK signaling pathways via the core targets IL1B, AKT1, TNF, IL6, INS, BCL2, and BDNF, and siponimod regulates the MAPK signaling pathways via the core targets AKT1, TNF, and CASP3 to improve the cognition of schizophrenia. Our results provide potential targets and a theoretical basis for the design of new drugs to treat the impaired cognition of schizophrenia.
由于缺乏新的治疗方法,精神分裂症认知障碍的治疗需求尚未得到满足。最近的研究表明,芬戈莫德和西波莫德在几种神经精神疾病中具有神经保护作用;然而,它们的药理机制尚不清楚。本研究的目的是通过网络药理学和分子对接确定芬戈莫德和西波莫德改善精神分裂症认知的潜在分子机制。从包括SwissTargetPrediction、PharmMapper、GeneCards、CTD、DisGeNET和OMIM在内的在线数据库中获取成分、精神分裂症和认知障碍的假定靶基因。构建蛋白质-蛋白质相互作用网络以识别核心靶点。使用DAVID数据库进行GO和KEGG通路富集分析。使用Cytoscape构建成分-靶点-通路-疾病网络。最后,通过分子对接评估成分与核心靶点之间的相互作用。分析显示芬戈莫德和西波莫德共有260个靶点,芬戈莫德有257个独特靶点,西波莫德有88个独特靶点。芬戈莫德介导的精神分裂症认知改善涉及两条信号通路,包括PI3K-Akt和MAPK信号通路。调节这两条通路的核心靶点包括IL1B、AKT1、TNF、IL6、INS、BCL2和BDNF。MAPK信号通路参与西波莫德介导的精神分裂症认知改善。MAPK通路由三个核心靶点调节,即TNF、AKT1和CASP3。对接分数范围为-5.0至-10.4 kcal/mol。我们的分析表明,芬戈莫德通过核心靶点IL1B、AKT1、TNF、IL6、INS、BCL2和BDNF调节PI3K-Akt和MAPK信号通路,西波莫德通过核心靶点AKT1、TNF和CASP3调节MAPK信号通路以改善精神分裂症的认知。我们的结果为治疗精神分裂症认知障碍的新药设计提供了潜在靶点和理论依据。