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Abstract：
To investigate the possible mechanism underlying the effect of the Lushi Runzao decoction on Sjogren\'s syndrome using network pharmacology and to verify the mechanismsanimal experiments.
Available biological data on each drug in the Lushi Runzao decoction were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the target proteins of Sjogren\'s syndrome were retrieved from the GeneCards database. Information regarding Sjogren\'s syndrome and the targets of the drugs were compared to obtain overlapping elements. This information was imported into the STRING platform to obtain a protein-protein interaction network diagram, following which a \"component-target\" network diagram was constructed using screened drug components and target informationCytoscape software. The database for annotation, visualization, and integrated discovery was used for Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathways analyses. Pathway information predicted by network pharmacology was verified using animal experiments.
The Lushi Runzao decoction ameliorated Sjogren\'s syndrome mainly by influencing tumor necrosis factor as well as certain cytokines and chemokines. The decoction also influenced the interleukin-17 and advanced glycosylation end products (AGE)-receptor for AGE signaling pathways.
The Lushi Runzao decoction ameliorates Sjogren\'s syndromemultiple targets and multiple signaling pathways. Network pharmacology is useful for making a comprehensive prediction regarding the efficacy of the Lushi Runzao decoction, and this information may be helpful in clinical research.
Available biological data on each drug in the Lushi Runzao decoction were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the target proteins of Sjogren\'s syndrome were retrieved from the GeneCards database. Information regarding Sjogren\'s syndrome and the targets of the drugs were compared to obtain overlapping elements. This information was imported into the STRING platform to obtain a protein-protein interaction network diagram, following which a \"component-target\" network diagram was constructed using screened drug components and target informationCytoscape software. The database for annotation, visualization, and integrated discovery was used for Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathways analyses. Pathway information predicted by network pharmacology was verified using animal experiments.
The Lushi Runzao decoction ameliorated Sjogren\'s syndrome mainly by influencing tumor necrosis factor as well as certain cytokines and chemokines. The decoction also influenced the interleukin-17 and advanced glycosylation end products (AGE)-receptor for AGE signaling pathways.
The Lushi Runzao decoction ameliorates Sjogren\'s syndromemultiple targets and multiple signaling pathways. Network pharmacology is useful for making a comprehensive prediction regarding the efficacy of the Lushi Runzao decoction, and this information may be helpful in clinical research.
摘要：
目的：采用网络药理学方法探讨卢氏润燥汤治疗干燥综合征的可能机制，并进行动物实验验证。
方法：从中药系统药理学数据库和分析平台检索卢氏润燥汤中各药物的现有生物学数据，并从GeneCards数据库中检索干燥综合征的靶蛋白。比较有关干燥综合征和药物靶标的信息，以获得重叠元素。将这些信息导入STRING平台以获得蛋白质-蛋白质相互作用网络图，随后使用筛选的药物成分和目标信息Cytoscape软件构建“成分-目标”网络图。用于注释的数据库，可视化,整合发现用于基因本体论富集和京都百科全书的基因和基因组途径分析。通过动物实验验证了网络药理学预测的途径信息。
结果：卢氏润燥汤主要通过影响肿瘤坏死因子以及某些细胞因子和趋化因子来改善干燥综合征。汤剂还影响白介素17和AGE信号通路的高级糖基化终产物（AGE）受体。
结论：卢氏润燥汤可改善干燥综合征的多个靶点和多个信号通路。网络药理学有助于对卢氏润燥汤的疗效进行全面预测，这些信息可能有助于临床研究。
方法：从中药系统药理学数据库和分析平台检索卢氏润燥汤中各药物的现有生物学数据，并从GeneCards数据库中检索干燥综合征的靶蛋白。比较有关干燥综合征和药物靶标的信息，以获得重叠元素。将这些信息导入STRING平台以获得蛋白质-蛋白质相互作用网络图，随后使用筛选的药物成分和目标信息Cytoscape软件构建“成分-目标”网络图。用于注释的数据库，可视化,整合发现用于基因本体论富集和京都百科全书的基因和基因组途径分析。通过动物实验验证了网络药理学预测的途径信息。
结果：卢氏润燥汤主要通过影响肿瘤坏死因子以及某些细胞因子和趋化因子来改善干燥综合征。汤剂还影响白介素17和AGE信号通路的高级糖基化终产物（AGE）受体。
结论：卢氏润燥汤可改善干燥综合征的多个靶点和多个信号通路。网络药理学有助于对卢氏润燥汤的疗效进行全面预测，这些信息可能有助于临床研究。
