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基于网络药理学、分子对接、分子动力学和体内实验研究克咳片治疗甲型流感病毒感染后感染后咳嗽的机制

Mechanism of Keke tablets in treating post-infectious cough following influenza A virus infection based on network pharmacology, molecular docking, molecular dynamics and in vivo experiments.

作者信息

Wei Meilian, Song Meng, Lin Luping, Wu Zhenlin, Li Runfeng, Chen Weixuan, Qiao Weilin, Huang Yali, Zhong Shan

机构信息

Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Research Centre of Basic Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; State Key Laboratory of Respiratory Disease, Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China; Guangzhou National Laboratory, Guangzhou, Guangdong, China.

出版信息

Int Immunopharmacol. 2025 Jun 25;162:115123. doi: 10.1016/j.intimp.2025.115123.

Abstract

PURPOSE

To dissect the therapeutic effect and potential pharmacological mechanisms of Keke tablets (KKT) against post-infectious cough (PIC) following influenza A virus infection based on network pharmacology, molecular docking, molecular dynamics, and in vivo experiments.

METHODS

The chemical profiling of KKT was systematically analyzed using ultra-high performance liquid chromatography coupled with mass spectrometry (UPLC-MS). Active ingredients and targets of KKT were then screened through the TCMSP database, while disease-related targets of PIC were collected through the GeneCards database. Common core targets were obtained by drawing a Venn diagram, which were imported to the STRING database for network topology analysis. In addition, protein-protein interaction (PPI) network, Gene Ontology (GO) for core targets, functional analysis and pathway enrichment analysis from Kyoto Encyclopedia of Genes and Genomes (KEGG) were constructed to predict the network of KKT core active ingredients and PIC core targets. Molecular docking and dynamics analysis were performed to evaluate the interactions and movements of the components of KKT with the potential targets of PIC. A PIC model of guinea pigs was established by intranasally administering A/Puerto Rico/8/1934 H1N1/34 (A/PR/8) to verify the efficacy and potential pharmacological mechanism of KKT in treating PIC.

RESULTS

A total of 29 potential active ingredients and 602 related targets in KKT were screened following UPLC-MS analysis. After intersection with 718 potential targets in PIC, 10 core targets were identified through PPI analysis. GO and KEGG analyses indicated that KKT were mainly related to the inflammatory response, NOD-like receptor signaling pathway and Toll-like receptor signaling pathway in the treatment of PIC. Subsequently, the findings of network pharmacology were corroborated by molecular docking and molecular dynamics analysis, suggesting that the main active components in KKT may exert therapeutic effects on PIC by modulating the TLR4/NF-κB/NLRP3 signaling. In vivo experiments demonstrated that KKT reduced cough frequency of A/PR/8-challenged guinea pigs and inhibited the activation of TLR4/NF-κB/NLRP3 signaling pathway in lung tissues, implying that KKT could alleviate PIC by regulating TLR4/ NF-κB/NLRP3 signaling pathway and suppressing pyroptosis.

CONCLUSION

KKT could inhibit the activation of TLR4/NF-κB/NLRP3 signaling pathway to suppress the assembly of NLRP3 inflammasome and the secretion of cytokines and cough-related neuropeptides in treating influenza A virus-induced PIC.

摘要

目的

基于网络药理学、分子对接、分子动力学和体内实验,剖析可可片(KKT)对甲型流感病毒感染后感染后咳嗽(PIC)的治疗作用及潜在药理机制。

方法

采用超高效液相色谱-质谱联用(UPLC-MS)系统分析KKT的化学图谱。通过中药系统药理学数据库与分析平台(TCMSP)筛选KKT的活性成分和靶点,同时通过基因卡片(GeneCards)数据库收集PIC的疾病相关靶点。通过绘制韦恩图获得共同核心靶点,并导入STRING数据库进行网络拓扑分析。此外,构建蛋白质-蛋白质相互作用(PPI)网络、核心靶点的基因本体(GO)分析、京都基因与基因组百科全书(KEGG)功能分析和通路富集分析,以预测KKT核心活性成分与PIC核心靶点的网络。进行分子对接和动力学分析,以评估KKT成分与PIC潜在靶点的相互作用和运动。通过鼻内给予A/波多黎各/8/1934 H1N1/34(A/PR/8)建立豚鼠PIC模型,以验证KKT治疗PIC的疗效和潜在药理机制。

结果

UPLC-MS分析后,共筛选出KKT中29种潜在活性成分和602个相关靶点。与PIC中的718个潜在靶点交叉后,通过PPI分析确定了10个核心靶点。GO和KEGG分析表明,KKT在治疗PIC中主要与炎症反应、NOD样受体信号通路和Toll样受体信号通路相关。随后,分子对接和分子动力学分析证实了网络药理学的研究结果,表明KKT中的主要活性成分可能通过调节TLR4/NF-κB/NLRP3信号通路对PIC发挥治疗作用。体内实验表明,KKT降低了A/PR/8攻击的豚鼠的咳嗽频率,并抑制了肺组织中TLR4/NF-κB/NLRP3信号通路的激活,这意味着KKT可以通过调节TLR4/NF-κB/NLRP3信号通路和抑制细胞焦亡来缓解PIC。

结论

在治疗甲型流感病毒诱导的PIC中,KKT可抑制TLR4/NF-κB/NLRP3信号通路的激活,从而抑制NLRP3炎性小体的组装以及细胞因子和咳嗽相关神经肽的分泌。

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