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Mechanisms of indigo naturalis on treating ulcerative colitis explored by GEO gene chips combined with network pharmacology and molecular docking

机译:Indigo Naturalis对治疗Geo基因芯片探索的溃疡性结肠炎的机制与网络药理学和分子对接结合

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Oral administration of indigo naturalis (IN) can induce remission in ulcerative colitis (UC); however, the underlying mechanism remains unknown. The main active components and targets of IN were obtained by searching three traditional Chinese medicine network databases such as TCMSP and five Targets fishing databases such as PharmMapper. UC disease targets were obtained from three disease databases such as DrugBank,combined with four GEO gene chips. IN-UC targets were identified by matching the two. A protein–protein interaction network was constructed, and the core targets were screened according to the topological structure. GO and KEGG enrichment analysis and bioGPS localization were performed,and an Herbs-Components-Targets network, a Compound Targets-Organs location network, and a Core Targets-Signal Pathways network were established. Molecular docking technology was used to verify the main compounds-targets. Ten core active components and 184 compound?targets of IN-UC, of which 43 were core targets, were enriched and analyzed by bioGPS, GO, and KEGG. The therapeutic effect of IN on UC may involve activation of systemic immunity, which is involved in the regulation of nuclear transcription, protein phosphorylation, cytokine activity, reactive oxygen metabolism, epithelial cell proliferation, and cell apoptosis through Th17 cell differentiation, the Jak-STAT and IL-17 signaling pathways, toll-like and NOD-like receptors, and other cellular and innate immune signaling pathways. The molecular mechanism underlying the effect of IN on inducing UC remission was predicted using a network pharmacology method, thereby providing a theoretical basis for further study of the effective components and mechanism of IN in the treatment of UC.
机译:口服靛蓝天然(IN)可以诱导溃疡性结肠炎(UC)的缓解;然而,潜在机制仍然未知。通过搜索三个中医网络数据库(如TCMSP和5个目标捕鱼数据库)获得的主要活跃组件和目标是获得的,例如PharmMapper。 UC疾病靶标是从诸如药物银行的三种疾病数据库获得,与四种地理基因芯片相结合。通过匹配两者来确定UC目标。构建蛋白质 - 蛋白质相互作用网络,并根据拓扑结构筛选核心靶标。进行了GO和KEGG浓缩分析和BUOGPS定位,并建立了草药组件 - 目标网络,复合目标 - 器官位置网络和核心目标信号途径网络。分子对接技术用于验证主要化合物靶标。十个核心活性组分和184种化合物?UC的靶标,其中43种是核心靶标,通过BuoGPS,Go和Kegg进行富集和分析。在UC中的治疗效果可能涉及通过Th17细胞分化的核转录,蛋白质磷酸化,细胞因子活性,反应性氧代谢,上皮细胞增殖和细胞凋亡涉及系统免疫的激活.JAK-Stat和IL-17信号传导途径,收费和NOD样受体,以及其他细胞和先天免疫信号通路。利用网络药理学方法预测了诱导UC缓解效果的分子机制,从而为进一步研究UC治疗方法的有效成分和机制提供了理论依据。

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