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Systemic elucidation on the potential bioactive compounds and hypoglycemic mechanism of Polygonum multiflorum based on network pharmacology

机译:基于网络药理学的多谷氨酸势生物活性化合物和低血糖机制的全身阐明

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摘要

Diabetes is a complex metabolic disease characterized by hyperglycemia, plaguing the whole world. However, the action mode of multi-component and multi-target for traditional Chinese medicine (TCM) could be a promising treatment of diabetes mellitus. According to the previous research, the TCM of Polygonum multiflorum (PM) showed noteworthy hypoglycemic effect. Up to now, its hypoglycemic active ingredients and mechanism of action are not yet clear. In this study, network pharmacology was employed to elucidate the potential bioactive compounds and hypoglycemic mechanism of PM. First, the compounds with good pharmacokinetic properties were screened from the self-established library of PM, and the targets of these compounds were predicted and collected through database. Relevant targets of diabetes were summarized by searching database. The intersection targets of compound-targets and disease-targets were obtained soon. Secondly, the interaction net between the compounds and the filtered targets was established. These key targets were enriched and analyzed by protein–protein interactions (PPI) analysis, molecular docking verification. Thirdly, the key genes were used to find the biologic pathway and explain the therapeutic mechanism by genome ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) analysis. Lastly, the part of potential bioactive compounds were under enzyme activity inhibition tests. In this study, 29 hypoglycemic components and 63 hypoglycemic targets of PM were filtrated based on online network database. Then the component-target interaction network was constructed and five key components resveratrol, apigenin, kaempferol, quercetin and luteolin were further obtained. Sequential studies turned out, AKT1, EGFR, ESR1, PTGS2, MMP9, MAPK14, and KDR were the common key targets. Docking studies indicated that the bioactive compounds could stably bind the pockets of target proteins. There were 38 metabolic pathways, including regulation of lipolysis in adipocytes, prolactin signaling pathway, TNF signaling pathway, VEGF signaling pathway, FoxO signaling pathway, estrogen signaling pathway, linoleic acid metabolism, Rap1 signaling pathway, arachidonic acid metabolism, and osteoclast differentiation closely connected with the hypoglycemic mechanism of PM.?And the enzyme activity inhibition tests showed?the bioactive?ingredients have great?hypoglycemic activity. In summary, the study used systems pharmacology to elucidate the main hypoglycemic components and mechanism of PM. The work provided a scientific basis for the further hypoglycemic effect research of PM and its monomer components, but also provided a reference for the secondary development of PM.
机译:糖尿病是一种复杂的代谢疾病,其特征在于高血糖,困扰着整个世界。然而,用于中医(TCM)的多组分和多目标的动作方式可能是对糖尿病糖尿病的有希望的治疗方法。根据先前的研究,Polygonum multiflorum(PM)的中医表明了有效的降血糖效应。到目前为止,其降血糖活性成分和行动机制尚不清楚。在这项研究中,采用网络药理学阐明PM的潜在生物活性化合物和低血糖机制。首先,将具有良好药代动力学性质的化合物从自置于PM的自恢复的PM文库中筛选,并通过数据库预测并收集这些化合物的靶标。通过搜索数据库总结了糖尿病的相关目标。很快就获得了复合靶和疾病目标的交叉点目标。其次,建立了化合物和过滤靶之间的相互作用净。通过蛋白质 - 蛋白质相互作用(PPI)分析,分子对接验证来富集和分析这些关键靶标。第三,主要基因用于找到生物途径,并通过基因组本体(GO)和基因组(KEGG)分析来解释治疗机制(GOGG)分析。最后,潜在的生物活性化合物的一部分在酶活性抑制试验下。在本研究中,基于在线网络数据库过滤了29个低血糖组分和63例PM的低血糖靶。然后,进一步获得构建组分 - 靶互动网络,并进一步获得五个关键组分白藜芦醇,Apigenin,Kaempferol,槲皮素和胰黄素。顺序研究结果,AKT1,EGFR,ESR1,PTGS2,MMP9,MAPK14和KDR是共同的关键目标。对接研究表明生物活性化合物可以稳定地结合靶蛋白的袋。存在38个代谢途径,包括在脂肪细胞中脂解,催乳素信号通路,TNF信号通路,VEGF信号传导途径,FOXO信号通路,雌激素信号通路,亚油酸代谢,RAP1信号通路,花生酸代购和骨质体分化紧密相连随着下午的降血糖机制。当酶活性抑制试验显示出来?生物活性素有很大的?降血糖活性。总之,研究使用Systems Pharmacology来阐明PM的主要降血糖组分和机制。该工作为PM及其单体组分的进一步降血糖作用研究提供了科学依据,但还为PM的二次开发提供了参考。

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