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作 者:肖志美 金义光 杜钢军[1] XIAO Zhimei;JIN Yiguang;DU Gangjun(Intitute of Pharmacy, Pharmaceutical College of Henan University, Kaifeng 475004, China;Institute of Radiation Medicine, A Cade my of Mititary Sciences, Beijing 100850, China)
机构地区:[1]河南大学药学院药物研究所,河南开封475004 [2]军事科学院军事医学研究院辐射医学研究所,北京100850
出 处:《河南大学学报(医学版)》2019年第2期97-102,共6页Journal of Henan University:Medical Science
基 金:河南省自然科学基金项目(182300410310)
摘 要:[目的]观察商陆水煎液对小鼠H22肝癌皮下移植瘤生长的抑制作用,并用网络药理学方法探究其抗肿瘤作用机制。[方法]建立小鼠H22肝癌皮下移植肿瘤模型。接瘤后次日,给药组用人体等效日剂量的商陆水煎液1次/d连续灌胃治疗17 d,模型组用等量生理盐水灌胃作对照。通过检测小鼠瘤重和瘤体积等指标,评价商陆水煎液对H22肝癌皮下移植瘤小鼠肿瘤生长的影响。采用网络药理学分析商陆可能的抗肿瘤机制。[结果]与模型组相比,给药组体质量上升相对平缓,自主活动增多;模型组体质量明显上升,自主活动逐渐减少。在肿瘤组织质量方面,给药组与模型组相比有显著性差异(P<0.05)。网络药理学分析结果筛选出20个商陆有效活性成分,涉及33条KEGG通路和27个GO生物过程。[结论]商陆水煎液能够抑制小鼠H22肝癌皮下移植瘤的生长,其作用与20个商陆活性成分干预癌症的途径调节、Jak-STAT信号通路、PI3K-Akt信号通路、癌症中的蛋白多糖的调节、MAPK信号通路、癌症中的微小RNA的调节等途径相关。[Objective]To observe anti-tumor effect of Shanglu decoction on H22 subcutaneously transplanted tumor in mice,and explore its possible action mechanism with network pharmacology.[Methods]Firstly,a mouse model of H22 subcutaneously transplanted tumor was established,the next day tumor bearing mouse was treated with HED’s Shanglu decoction via intragastric administration once a day for 17 days.The model group was given normal saline as control.Antitumor effect was evaluated by body weight,autonomic activities,tumor size and so on,and network pharmacology was used to analyze the related targets and pathways of Shanglu.[Results]Shanglu group compared with model group,Shanglu group’s body weight was increased slowly,autonomic activities was increased;model group’s body weight was increased fastly,autonomic activities was decreased.The weight of tumor in the model group was lighter than that in the model group(P<0.05).Network pharmacology analysis showed that there are 20 active components in Shanglu,involving in 33 KEGG pathway and 27 GO bioprocess.[Conclusion]Shanglu decoction has an inhibitory effect on H22 subcutaneously transplanted tumor in mice,its mechanisms were associated with 20 active components involving in "Pathways in cancer""Jak-STAT signaling pathway""PI3 K-Akt signaling pathway""Proteoglycans in cancer""MAPK signaling pathway""MicroRNAs in cancer"and so on.
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