Studies Combining Network Pharmacology with In Vivo Experiments Uncover the Fever-reducing Effects and Underlying Molecular Pathways of Radix Isatidis.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Jiucheng Wang, Yongping Chen, Honggang Fan, Cunshuai Gao, Guofeng Feng, Yuan Zhao, Shuai Zhang, Qiuyue An, Xuanpan Ding, Shuang Wang, Guohua Zhang, MengMeng Liu, Haotian Yang
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引用次数: 0

Abstract

Objective: The objective of this investigation was to examine the mechanism through which Radix isatidis operates, utilizing network pharmacology and molecular docking techniques.

Methods: Active components and associated targets of Radix isatidis were identified using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) alongside the GeneCards database. A protein-protein interaction (PPI) network connecting the targets of the active ingredients with those related to febrile diseases was constructed through STRING. The analysis of core nodes was carried out using Cytoscape software, followed by a further exploration of the PPI network using the DAVID database. Lastly, the underlying mechanism of the antipyretic action was also examined utilizing the DAVID database. Functional annotation through Gene Ontology (GO) and enrichment analysis of pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted utilizing the DAVID database, with essential components chosen for molecular docking through Pymol software. Mice were injected intraperitoneally with lipopolysaccharide (LPS) and treated by continuous gavage with Radix isatidis. They were then evaluated using temperature monitoring, blood tests, organ index calculation, PI3K-AKT pathway protein assays, and inflammatory factor reverse transcription polymerase chain reaction (RT-PCR) assays.

Results: Twelve active components of Radix isatidis were screened, and 107 genes were identified at the intersection of Radix isatidis and fever. These genes were found to be involved in the PI3K-AKT signaling pathway, proteoglycans in cancer, and mechanisms related to blood lipids and atherosclerosis. The top nine targets screened by constructing a PPI network were IL6, AKT1, EGFR, STAT3, CASP3, ESR1, PTGS2, PPARG, and MAPK3, which indicated that Radix isatidis may play a protective role by affecting the PI3K/AKT-related signaling pathway. In in vivo experiments, Radix isatidis inhibited the activation of PI3K/AKT-related pathways, reduced inflammatory responses, and improved symptoms in mice treated with LPS. Conclusion The molecular mechanism of action of the antipyretic effect of Radix isatidis was predicted through network pharmacology, and it was also verified in vivo, as Radix isatidis reduced the inflammatory response, lowered the body temperature of mice, and protected LPStreated mice via effects on the PI3K-AKT-related signaling pathway.

网络药理学与体内实验相结合的研究揭示了板蓝根的退热作用及其分子通路。
目的:利用网络药理学和分子对接技术,探讨板蓝根的作用机制。方法:利用中药系统药理学数据库和分析平台(TCMSP)和GeneCards数据库对板蓝根的有效成分和相关靶点进行鉴定。通过STRING构建了一个蛋白-蛋白相互作用(protein-protein interaction, PPI)网络,将有效成分靶点与温病相关靶点连接起来。使用Cytoscape软件对核心节点进行分析,随后使用DAVID数据库对PPI网络进行进一步探索。最后,利用DAVID数据库对其解热作用的潜在机制进行了研究。利用DAVID数据库通过基因本体(GO)进行功能标注,并对京都基因与基因组百科全书(KEGG)中的路径进行富集分析,通过Pymol软件选择必要的组分进行分子对接。小鼠腹腔注射脂多糖(LPS),连续灌胃板蓝根。然后通过体温监测、血液检测、器官指数计算、PI3K-AKT通路蛋白检测和炎症因子逆转录聚合酶链反应(RT-PCR)检测对患者进行评估。结果:从板蓝根中筛选出12种有效成分,在板蓝根与发热交叉处鉴定出107个基因。这些基因被发现与PI3K-AKT信号通路、癌症中的蛋白聚糖以及血脂和动脉粥样硬化相关的机制有关。通过构建PPI网络筛选出的前9个靶点分别是IL6、AKT1、EGFR、STAT3、CASP3、ESR1、PTGS2、PPARG和MAPK3,表明板蓝根可能通过影响PI3K/ akt相关信号通路发挥保护作用。在体内实验中,板蓝根抑制了PI3K/ akt相关通路的激活,减少了炎症反应,改善了LPS处理小鼠的症状。结论通过网络药理学对板蓝根解热作用的分子机制进行了预测,并在体内得到了验证,板蓝根通过对pi3k - akt相关信号通路的作用,减轻了小鼠的炎症反应,降低了小鼠的体温,对lps治疗小鼠具有保护作用。
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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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