基于网络药理学和实验验证探究酸枣仁复方治疗抑郁症的作用机制
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1. 中国农业科学院农产品加工研究所,北京 100193;2. 西南医科大学附属中医医院中葡中医药国际合作中心,四川 泸州 646000;3. 西南医科大学附属中医医院脾胃病科,四川 泸州 646000;4. 首都医科大学宣武医院急诊科,北京 100053;5. 葡萄牙米尼奥大学生物系中葡药食植物资源研究中心,葡萄牙 布拉加 4710-057

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Exploring the mechanism of action of sour jujube nut compound formula for depression based on network pharmacology and experimental validation
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1. Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, China;2. Sino-Portugal TCM International Cooperation Center, the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou 646000, China; 3. Department of Spleen and Stomach Diseases,the Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou 646000, China;4. Emergency Department, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; 5. Sino-PT Research Center for Medicinal and Food Plant Resources, Department of Biology, University of Minho,Braga 4710-057, Portugal

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    摘要:

    目的 通过网络药理学技术预测酸枣仁复方(Ziziphi spinosae semen formula,ZSSF)对于抑郁症的关键作用靶点,并通过利血平诱导的抑郁斑马鱼模型验证酸枣仁复方治疗抑郁症的作用机制。 方法 通过 TCMSP数据库检索酸枣仁复方的药物作用靶点,利用 UniProt 数据库对靶点名称进行校正。 采用 GeneCards、OMIM、NCBI数据库检索抑郁症相关靶点,并对 3 个数据库的靶点结果进行汇总去比重。 利用 STRING 数据库预测了交集靶点的蛋白质-蛋白质相互作用(protein-protein interaction,PPI)信息,利用 Metascape 数据库构建进行富集研究,并利用微生信对 KEGG 和 GO 的富集 结果实现了可视化。 通过利血平诱导的斑马鱼抑郁模型进行行为学实验和 RTqPCR 实验,验证酸枣仁复方对抑郁症的治疗作用。 结果 筛选出抑郁症与酸枣仁复方的交集靶点 188 个,蛋白质-蛋白质相互作用结果显示,酸枣仁复方抗抑郁主要作用于肿瘤坏死因子-α(TNF-α)、血清白细胞介素 2( IL-2)、血清白细胞介素 6(IL-6)、血清白细胞介素 1β(IL-1β)、血清白细胞介素 10( IL-10)等靶点,KEGG 通路富集分析表明,酸枣仁复方通过 TNF 信号通路、PI3K-Akt 信号通路、cGMP-PKG 信号通路等多种信号通路发挥其治疗抑郁症的作用。 动物实验 结果显示,与利血平组相比,酸枣仁复方高、中、低剂量组斑马鱼在声光刺激下的运动距离显著延长(P<0. 05),运动速度显著增快(P<0. 01)。 RT-qPCR 结果显示,与利血平组相比,酸枣仁复方高、中、低剂量给药组斑马鱼脑组织中 TNF-α、IL-2、IL-6、IL-1β、IL-10 mRNA 表达水平上调(P<0. 001)。 结论 酸枣仁复方通过多成分、多靶点发挥抗抑郁作用,且其抗抑郁作用可能与抑制炎症因子的表达有关。

    Abstract:

    Objective In this study, we aimed to use network pharmacology techniques to predict the key targets of a prescription of Ziziphi spinosae semen formula (ZSSF) compound for depression, and to verify its mechanism of action using a zebrafish model of rifampicin-induced depression. Methods The drug targets of ZSSF were retrieved from the TCMSP database, and the target names were corrected using the UniProt database. Depression-related targets were identified using the GeneCards, OMIM, and NCBI databases. Protein-protein interaction information for the shared targets was predicted using the STRING database. The collected data were then analyzed using the Metascape database to determine GO and KEGG pathway enrichment, and the result were visualized using microbiotics. Behavioral experiments and reverse-transcription quantitative PCR experiments were conducted to verify the therapeutic effects of ZSSF on a zebrafish depression model induced by risperdal. Results 188 targets were screened to find the interactions between depression and ZSSF. The protein-protein interaction result showed that ZSSF primarily targeted TNF-α, IL-2, IL-6, IL1β, and IL-10 to produce its antidepressant effect. KEGG pathway enrichment analysis revealed that ZSSF exerted its effects on depression through various signaling pathways, including the TNF, PI3K-Akt, and cGMP-PKG signaling pathways. The result of the animal experiments showed that the treatment groups given high, medium, and low doses of ZSSF exhibited significant improvements in movement distance under acoustic and light stimulation compared with the model group(P<0. 05). The speed of movement of the treatment groups was also significantly faster(P<0. 01). Additionally,the mRNA expression levels of TNF-α, IL-2, IL-6, IL-1β, and IL-10 were up-regulated in the brain tissues of zebrafish in the high-, medium-, and low-dosage groups of ZSSF compared those in the model group ( P<0. 001). Conclusions ZSSF exerts its antidepressant effect through multiple components and targets, and its antidepressant effects may be associated with its inhibition of inflammatory factors.

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郑涵文,刘昕玥,赵海燕,王佳音,罗福龙,范蓓,Alberto Carlos Pires Dias,王凤忠,王琼.基于网络药理学和实验验证探究酸枣仁复方治疗抑郁症的作用机制[J].中国实验动物学报,2024,32(7):901~912.

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  • 收稿日期:2024-01-25
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  • 在线发布日期: 2024-08-26
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