天然产物研究与开发 ›› 2024, Vol. 36 ›› Issue (11): 1959-1971.doi: 10.16333/j.1001-6880.2024.11.016 cstr: 32307.14.1001-6880.2024.11.016

• 数据研究 • 上一篇    下一篇

刺桐碱促伤口愈合的网络药理学分析及实验验证

蔡维维,张仕杰,文嫄媛,侯豹,孙海建,邱丽颖*   

  1. 江南大学无锡医学院,无锡 214122
  • 出版日期:2024-11-25 发布日期:2024-11-25
  • 基金资助:
    国家自然科学基金青年科学基金(81700364);江南大学实验室管理专项研究课题(JDSYS201924);大学生创新创业训练计划省级重点项目(202210295035Z);国家自然科学基金-面上项目(82170424)

Network pharmacology analysis and experimental verification of hypaphorine for the treatment of wound healing

CAI Wei-wei,ZHANG Shi-jie,WEN Yuan-yuan,HOU Bao,SUN Hai-jian,QIU Li-ying*   

  1. Wuxi Medical College,Jiangnan University,Wuxi 214122,China
  • Online:2024-11-25 Published:2024-11-25

摘要:

本研究运用网络药理学和体内外实验模型探讨天然化合物刺桐碱(hypaphorine,HYP)促伤口愈合的作用机制。通过SwissTargetPrediction数据库挖掘HYP的作用靶点;通过GeneCards数据库获取创伤愈合靶点;将药物靶点与疾病靶点通过维恩在线筛选出交集靶点;通过String数据库和Cytoscape 3.7.1构建蛋白互作网络(protein-protein interaction network,PPI);再借助Metascape和微生信-在线生物信息平台对核心靶点进行基因本体(Gene Ontology,GO)富集分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)富集分析;最后通过建立细胞炎症模型及糖尿病大鼠背部创伤模型进行体内外实验验证。结果得到HYP的作用靶点100个,伤口愈合靶点6612个,共有靶点60个,核心靶点5个。KEGG富集通路主要包括与癌症的发病途径、PPAR信号通路、化学致癌作用-活性氧等信号通路。体外细胞实验显示,HYP可以通过抑制白细胞介素-1β(interleukin-1 beta,IL-1β)、肿瘤坏死因子-α(tumour necrosis factor-α,TNF-α)、NOD样受体热蛋白结构域相关蛋白3(NOD-like receptor thermal protein domain associated protein 3,NLRP3)、活性氧(reactive oxygen species,ROS)的表达抑制RAW 264.7细胞炎症过程以及通过上调过氧化物酶体增殖物激活受体γ(peroxisome proliferator-activated receptor γ,PPARγ)和磷酸化蛋白激酶B(phosphorylated-protein kinase B,p-Akt)的表达促进成纤维细胞迁移。动物实验显示,HYP可以显著促进糖尿病大鼠慢性创面愈合,HE和Masson染色结果表明HYP促进了糖尿病大鼠创伤部位再上皮化。免疫组织化学和Western blot结果表明,HYP在慢性创面处抑制了炎症因子的释放,加速了慢性创面从炎症期到组织再生期的过渡。综上所述,本研究探究出HYP可能是通过调控PPARγ通路,抑制NLRP3、IL-1β、TNF-α、iNOS的表达以及促进成纤维细胞增殖,从而发挥促进慢性创伤愈合的作用。

关键词: 慢性创伤, 糖尿病, 刺桐碱, 网络药理学, 实验验证

Abstract:

To explore the mechanism of the natural compound hypaphorine in promoting wound healing,network pharmacology and in vitro and in vivo experimental models was used.The target of hypaphorine was digged through the SwissTargetPrediction database and wound healing targets were obtained through the GeneCards database;Then,intersecting targets between drug targets and disease targets were screened through Venn online and protein interaction networks (PPI) were constructed through a String database and Cytoscape 3.7.1;Further,the Micro Bioinformatics Online Bioinformatics Platform and Metascape were utilized to conduct GO and KEGG enrichment analysis on the core targets;Finally,cellular inflammation and the mouse model of back injury in diabetes rats were established for in vitro and in vivo experimental verification.The results showed that there were 100 targets for the action of hypaphorine,6 612 targets for wound healing,60 common targets,and 5 core targets.The KEGG enrichment pathway mainly includes signaling pathways related to cancer pathogenesis,PPAR signaling pathway,chemical carcinogenesis reactive oxygen species,and so on.In vitro cell experiments have shown that HYP can inhibit the expression of NOD-like receptor thermal protein domain associated protein 3 (NLRP3),interleukin-1 beta (IL-1β),tumour necrosis factor-α (TNF-α) and reactive oxygen species (ROS) to inhibit the inflammation process in RAW 264.7 cells and upregulate the expression of peroxisome proliferator-activated receptor γ (PPARγ) and phospho-Akt (p-Akt) to promotes fibroblast migration.Animal experiments showed that HYP could significantly promote the healing of chronic wounds in diabetes rats.The results of HE and Masson staining showed that HYP promoted the re-epithelization of wound sites in diabetes rats.Immunohistochemical and western blot results indicate that HYP inhibits the release of inflammatory factors in chronic wounds,accelerating the transition from the inflammatory phase to tissue regeneration phase.In summary,this study explores that HYP may regulate PPARγ pathway to inhibit the expression of NLRP3,IL-1β,TNF-α and iNOS,and promote the fibroblast proliferation,which play a role in promoting chronic wound healing.

Key words: chronic trauma, diabetes, hypaphorine, network pharmacology, experimental verification

中图分类号:  R285.5