Beijing University of Chinese Medicine, No.11 East road, North 3rd Ring Road, Beijing, 100029, China.
Neurology Department of Dongzhimen Hospital, Beijing University of Chinese Medicine, No.5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
BMC Complement Med Ther. 2022 Feb 2;22(1):33. doi: 10.1186/s12906-021-03465-1.
Shenzhi Jiannao (SZJN) prescription is a type of herbal formula adopted in the management of cognitive impairment and related disorders. However, its effects and related regulatory mechanisms on vascular dementia (VD) are elusive. Herein, network pharmacology prediction was employed to explore the pharmacological effects and molecular mechanisms of SZJN prescription on VD using network pharmacology prediction, and validated the results through in vitro experiments.
Through a search in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database, chemical composition and targets for SZJN prescription were retrieved. The potential targets for VD were then obtained from the GeneCards and DisGeNET databases. The network was constructed that depicted the interactions between putative SZJN prescription and known therapeutic targets for VD using Cytoscape 3.7.1. Analysis of protein-protein interaction was achieved via STRING 11.0 software, followed by Gene Ontology (GO) functional enrichment and Kyoto Gene and Genome Encyclopedia (KEGG) pathway analyses. To validate the computer-predicted results, in vitro experiments based on an excitotoxic injury model were designed using glutamate-exposed PC12 cells, and treated with varying concentrations (low, 0.05; medium, 0.1 and high, 0.2 mg/mL) of SZJN prescription. Cell viability and cell death were detected using the IncuCyte imaging system. Moreover, the expression profiles of Caspase-3 were analyzed through qRT-PCR.
Twenty-eight potentially active ingredients for SZJN prescription, including stigmasterol, beta-sitosterol, and kaempferol, plus 21 therapeutic targets for VD, including PTGS2, PTGS1, and PGR were revealed. The protein-protein interaction network was employed for the analysis of 20 target proteins, including CASP3, JUN, and AChE. The enrichment analysis demonstrated candidate targets of SZJN prescription were more frequently involved in neuroactive ligand-receptor interaction, calcium, apoptosis, and cholinergic synaptic signaling pathways. In vitro experiments revealed that SZJN prescription could significantly reverse glutamate-induced cell viability loss and cell death, and lower the levels of Caspase-3 mRNA in glutamate-induced PC12 cells.
Collectively, this study demonstrated that SZJN prescription exerted the effect of treating VD by regulating multi-targets and multi-channels with multi-components through the method of network pharmacology. Furthermore, in vitro results confirmed that SZJN prescription attenuated glutamate-induced neurotoxicity.
参智健脑方(SZJN)是一种用于治疗认知障碍及相关疾病的中药方剂。然而,其对血管性痴呆(VD)的作用及相关调控机制仍不明确。本研究采用网络药理学预测方法,通过网络药理学预测探讨 SZJN 方对 VD 的药理作用和分子机制,并通过体外实验进行验证。
通过在中药系统药理学数据库和分析平台(TCMSP)数据库中搜索,获取 SZJN 方的化学成分和靶点。然后从 GeneCards 和 DisGeNET 数据库中获得潜在的 VD 靶点。使用 Cytoscape 3.7.1 构建 SZJN 方与已知 VD 治疗靶点之间相互作用的网络图。通过 STRING 11.0 软件进行蛋白质-蛋白质相互作用分析,然后进行基因本体(GO)功能富集和京都基因与基因组百科全书(KEGG)通路分析。为了验证计算机预测结果,设计了基于谷氨酸诱导 PC12 细胞损伤模型的体外实验,并用不同浓度(低、0.05;中、0.1 和高、0.2mg/mL)的 SZJN 方进行处理。利用 IncuCyte 成像系统检测细胞活力和细胞死亡。此外,通过 qRT-PCR 分析 Caspase-3 的表达谱。
揭示了 SZJN 方 28 种潜在活性成分,包括豆甾醇、β-谷甾醇和山奈酚,以及 21 种 VD 治疗靶点,包括 PTGS2、PTGS1 和 PGR。采用蛋白质-蛋白质相互作用网络分析 20 个靶蛋白,包括 CASP3、JUN 和 AChE。富集分析表明,SZJN 方的候选靶点更频繁地参与神经活性配体-受体相互作用、钙、细胞凋亡和胆碱能突触信号通路。体外实验表明,SZJN 方能显著逆转谷氨酸诱导的细胞活力丧失和细胞死亡,并降低谷氨酸诱导的 PC12 细胞中 Caspase-3mRNA 的水平。
综上所述,本研究采用网络药理学方法证实,SZJN 方通过多成分、多靶点、多途径发挥治疗 VD 的作用。此外,体外实验结果证实,SZJN 方可减轻谷氨酸诱导的神经毒性。