Network Pharmacology Combined with Animal Models to Investigate the Mechanism of ChangPu YuJin Tang in the Treatment of Tourette Syndrome.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Man-Qi Lu, Zheng-Gang Shi, Jing Shang, Lei Gao, Wei-Jiao Gao, Lu Gao
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引用次数: 0

Abstract

Background: ChangPu YuJin Tang (CPYJT) is a Chinese herbal formula that has been shown to be an effective therapeutic strategy for pediatric patients with Tourette Syndrome (TS). Using an integrated strategy of network pharmacology and animal model, the aim of this study was to investigate the mechanism of CPYJT in the treatment of TS.

Methods: Compound libraries of CPYJT were established using databases, such as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The TCMSP database and Swiss Target Prediction database were used to predict the targets. The above results were constructed into a CPYJT-Drug-Component-Target network. Moreover, TS targets were predicted using GeneCards and other databases. The targets corresponding to the potential ingredients in CPYJT and the targets corresponding to TS were taken as the intersections to construct the CPYJT-TS network. The target network was analysed by PPI using the string database. GO and KEGG enrichment analyses were performed on the target network. The whole process was performed using Cytoscape 3.7.2 to make visual network diagrams of the results. CPYJT was characterised by Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UHPLC-MS). Transmission Electron Microscopy (TEM) was used to observe the structural changes of CPYJT on the neuronal cells of the IDPN model rats. RT-PCR and Western Blot were used to analyse the changes in the mRNA and protein expression levels of BDNF, TrkB, PI3K, and AKT in the cortex, striatum, and thalamus brain regions after CPYJT administration in IDPN model rats.

Results: Network pharmacology and UHPLC-MS studies revealed that CPYJT acted on the TS through multiple neurotransmitters and the BDNF/TrkB and PI3K/AKT signalling pathways. CPYJT ameliorated neurocellular structural damage in the cortex, striatum, and thalamus of TS model rats. Additionally, CPYJT up-regulated the levels of BDNF, TrkB, PI3k, and AKT in the cortex, striatum, and thalamus of TS model rats.

Conclusion: It was found that CPYJT protected neuronal cells from structural damage in multiple brain regions and affected the expression levels of BDNF, TrkB, PI3K, and Akt in the cortex, striatum, and thalamus during TS treatment.

网络药理学结合动物模型研究常朴郁金汤治疗抽动症的机制
背景:常朴郁金汤(CPYJT)是一种中药方剂,已被证明是治疗小儿抽动症(TS)的有效策略。本研究采用网络药理学和动物模型的综合策略,旨在研究 CPYJT 治疗 TS 的机制:方法:利用中药系统药理学数据库和分析平台(TCMSP)等数据库建立了 CPYJT 的化合物库。利用 TCMSP 数据库和瑞士靶点预测数据库预测靶点。将上述结果构建成 CPYJT-药物-成分-靶点网络。此外,还利用 GeneCards 和其他数据库预测了 TS 靶点。以 CPYJT 中潜在成分对应的靶点和 TS 对应的靶点为交点,构建 CPYJT-TS 网络。利用字符串数据库对靶标网络进行 PPI 分析。对目标网络进行 GO 和 KEGG 富集分析。整个过程使用 Cytoscape 3.7.2 制作可视化网络图。超高效液相色谱-串联质谱法(UHPLC-MS)对 CPYJT 进行了表征。透射电子显微镜(TEM)用于观察 CPYJT 在 IDPN 模型大鼠神经细胞上的结构变化。采用 RT-PCR 和 Western Blot 分析 IDPN 模型大鼠服用 CPYJT 后大脑皮层、纹状体和丘脑中 BDNF、TrkB、PI3K 和 AKT 的 mRNA 和蛋白表达水平的变化:结果:网络药理学和超高效液相色谱-质谱研究显示,CPYJT通过多种神经递质和BDNF/TrkB及PI3K/AKT信号通路作用于TS。CPYJT 可改善 TS 模型大鼠皮层、纹状体和丘脑的神经细胞结构损伤。此外,CPYJT 还能上调 TS 模型大鼠大脑皮层、纹状体和丘脑中的 BDNF、TrkB、PI3k 和 AKT 水平:结论:研究发现,CPYJT能保护多个脑区的神经细胞免受结构性损伤,并影响TS治疗期间大脑皮层、纹状体和丘脑中BDNF、TrkB、PI3K和Akt的表达水平。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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