Exploring the potential mechanism of Radix Bupleuri in the treatment of sepsis: a study based on network pharmacology and molecular docking.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Hao Wang, Wei Xiong, Yongchu Laram, Li Hu, Wu Zhong, Yingchun Hu
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Abstract

Aim: To explore, using network pharmacology and RNA-seq technologies, potential active targets and mechanisms underpinning Radix Bupleuri's effectiveness during sepsis treatment.

Methods: Following the Sepsis-3.0 criteria, the research cohort, comprising 23 sepsis patients and 10 healthy participants, was obtained from public databases. Peripheral blood samples were collected and subjected to RNA-seq analysis. Active ingredients and potential targets of Radix Bupleuri were identified using the Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine 2.0 (BATMAN-TCM 2.0) database and TCMSP database. Subsequently, protein-protein interaction (PPI) network construction, Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted to explore cross-targets between disease and drugs. Survival analysis of key targets was performed using the GSE65682 dataset, and single-cell RNA-seq was employed for cellular localization analysis of key genes. Finally, molecular docking and Molecular dynamics simulation of the core target was conducted.

Results: Differential expression analysis revealed 4253 genes associated with sepsis. Seventy-six active components and 1030 potential targets of Radix Bupleuri were identified. PPI, GO, and pathway enrichment analyses indicated involvement in the regulation of transmembrane transport, monatomic ion transport, and MAPK signaling. Survival curve analysis identified PIK3CD, ARRB2, SUCLG1, and SPI1 as key targets associated with lower mortality in the high expression group, while higher mortality was observed in the high PNP and FURIN expression groups. Single-cell RNA sequencing unveiled the cellular localization of PIK3CD, PNP, SPI1, and FURIN within macrophages, while ARRB2 and SUCLG1 exhibited localization in both macrophages and T-cells. Subsequent molecular docking and Molecular dynamics simulation indicated a potential binding interaction for Carvone-PIK3CD, Encecalin-ARRB2, Lauric Acid-SUCLG1, Pulegone-FURIN, Nootkatone-SPI1, and Saikogenin F-PNP.

Conclusion: Radix Bupleuri could modulate immune function by affecting PIK3CD, ARRB2, SUCLG1, FURIN, SPI1, and PNP, thereby potentially improving the prognosis of sepsis.

探索柴胡治疗败血症的潜在机制:基于网络药理学和分子对接的研究
目的:利用网络药理学和RNA-seq技术,探索柴胡在败血症治疗中的潜在活性靶点及其作用机制:方法:根据败血症-3.0 标准,从公共数据库中获得研究队列,包括 23 名败血症患者和 10 名健康参与者。采集外周血样本并进行 RNA-seq 分析。利用中药分子机理生物信息学分析工具 2.0(BATMAN-TCM 2.0)数据库和 TCMSP 数据库确定了柴胡的活性成分和潜在靶点。随后,进行了蛋白-蛋白相互作用(PPI)网络构建、基因本体(GO)分析和京都基因组百科全书(KEGG)通路富集分析,以探索疾病与药物之间的交叉靶点。利用 GSE65682 数据集对关键靶点进行了生存分析,并采用单细胞 RNA-seq 对关键基因进行了细胞定位分析。最后,对核心靶点进行了分子对接和分子动力学模拟:结果:差异表达分析发现了 4253 个与败血症相关的基因。结果:差异表达分析发现了与脓毒症相关的 4253 个基因,确定了 76 种有效成分和 1030 个潜在靶点。PPI、GO和通路富集分析表明,它们参与了跨膜转运、单原子离子转运和MAPK信号转导的调节。生存曲线分析发现,PIK3CD、ARRB2、SUCLG1 和 SPI1 是高表达组死亡率较低的关键靶点,而 PNP 和 FURIN 高表达组死亡率较高。单细胞 RNA 测序揭示了 PIK3CD、PNP、SPI1 和 FURIN 在巨噬细胞中的细胞定位,而 ARRB2 和 SUCLG1 则在巨噬细胞和 T 细胞中都有定位。随后的分子对接和分子动力学模拟表明,Carvone-PIK3CD、Encecalin-ARRB2、Lauric Acid-SUCLG1、Pulegone-FURIN、Nootkatone-SPI1 和 Saikogenin F-PNP 具有潜在的结合相互作用:结论:柴胡可通过影响 PIK3CD、ARRB2、SUCLG1、FURIN、SPI1 和 PNP 来调节免疫功能,从而改善败血症的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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