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基于网络药理学探讨绿原酸治疗特异性皮炎的作用机制OACSTPCD

Study on mechanisms of chlorogenic acid in treating atopic dermatitis based on network pharmacology

中文摘要英文摘要

目的 结合网络药理学、分子对接技术和实验验证,探讨绿原酸(chlorogenic acid,CGA)治疗特异性皮炎(atopic dermatitis,AD)的作用靶点及潜在机制.方法 利用STITCH、SwissTargetPrediction和PharmMapper数据库预测和筛选出CGA的相应作用靶点.从DisGeNET、OMIM和GendCards数据库中收集并筛选出与AD相应的靶点.采用Venny 2.1.0在线工具获取CGA和AD的交集靶点.将交集靶点通过STRING 11.5数据库构建蛋白质相互作用(PPI)网络图,并将PPI网络图通过Cytoscape3.10.0软件进行可视化分析,利用CytoNCA插件筛选出核心靶点.采用DAVID平台进行GO和KEGG富集分析,探讨CGA治疗AD的关键途经,并用分子对接评估CGA与核心靶点结合亲和力.建立2,4-二硝基氯苯(DNCB)诱导小鼠构建AD模型,通过皮炎评分、脾脏指数、病理染色和RT-qPCR验证网络药理学预测的结果.结果 共筛选出了CGA的241个靶点和AD的1 450个靶点,将两者做交集,共获得 69个交集靶点.其中,通过PPI网络拓扑分析确定了13个核心靶点,关键靶点包括MMP9、HSP90AA1、HRAS、NOS2和RHOA,分子对接表明CGA与这些核心靶点结合较强.KEGG通路富集分析表明,TNF信号通路、脂质和动脉粥样硬化、VEGF信号通路等交集靶点均显著富集.体内实验研究结果显示,与模型组相比,CGA能有效降低小鼠表皮厚度、皮炎评分以及脾脏指数.RT-qPCR结果显示,CGA可明显降低MMP9和HSP90AA1 mRNA的表达,减少TNF信号通路相关基因TNF-α、TNFR1和AKT1的表达.结论 CGA可通过调节TNF信号通路来有效改善AD症状,为后续的研究开发提供参考依据.

Objective To investigate the targets and potential mechanisms of chlorogenic acid(CGA)in the treatment of atopic dermatitis(AD)based on network pharmacology,molecular docking technology and experimental validation.Methods STITCH,SwissTargetPrediction and PharmMapper databases were used to predict and screen the corresponding targets of CGA.Targets corresponding to AD were collected and screened from the DisGeNET,OMIM,and GendCards databases.The Venny 2.1.0 online tool was used to obtain the intersection targets of CGA and AD.The intersecting targets were constructed by using the STRING 11.5 database to construct the protein interaction(PPI)network diagram,and the PPI network diagram was visualized and analyzed by Cytoscape 3.10.0 software,and the core targets were screened by the CytoNCA plug-in.The DAVID platform was used for GO and KEGG enrichment analysis,and the key ways of CGA in the treatment of AD were discussed,and the binding affinity between CGA and core targets was evaluated by molecular docking.An AD model was established for 2,4-dinitrochlorobenzene(DNCB)-induced mice,and the results of network pharmacology prediction were verified by dermatitis score,spleen index,pathological staining and RT-qPCR.Results A total of 241 targets of CGA and 1 450 targets of AD were screened,and a total of 69 intersecting targets were obtained.Among them,13 core targets were identified through PPI network topology analysis,including MMP9,HSP90AA1,HRAS,NOS2 and RHOA,and molecular docking showed that CGA had strong binding to these core targets.KEGG pathway enrichment analysis showed that TNF signaling pathway,lipid and atherosclerosis,VEGF signaling pathway and other intersecting targets were significantly enriched.In vivo studies showed that CGA effectively reduced epidermal thickness,dermatitis score and spleen index compared with the model group.RT-qPCR results showed that CGA significantly reduced the expression of MMP9 and HSP90AA1 mRNA,and reduced the expression of TNF-α,TNFR1 and AKT1 genes related to TNF signaling pathway.Conclusion CGA can effectively improve AD symptoms by regulating TNF signaling pathway,which provides a reference for subsequent research and development.

聂文凯;徐颖;于宗睿;杨慧文;刘冰;王桂香

广东药科大学药学院,广东广州 510160

中医学

网络药理学分子对接特异性皮炎绿原酸TNF信号通路机制

network pharmacologymolecular dockingatopic dermatitischlorogenic acidTNF signaling pathwaymechanism

《广东药科大学学报》 2024 (002)

91-103 / 13

国家自然科学基金面上项目(81873225);国家大学生创新创业训练项目(202310573012)

10.16809/j.cnki.2096-3653.2023120601

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