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Wide Identification of the Compounds in Licorice and Exploration of the Mechanism for Prostatitis Treatment by Combining UHPLC-LTQ-Orbitrap MS with Network Pharmacology

机译:通过将UHPLC-LTQ-Orbitrap MS与网络药理学相结合,广泛鉴定了甘草中的化合物和前列腺炎治疗机制的探索

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摘要

Licorice has been used as an important herbal medicine for treating chronic diseases in Asian countries for thousands of years.In this study,UHPLC-LTQ-Orbitrap MS was used to widely identify the compounds of licorices from Glycyrrhiza uralensis(Gu)and G.inflata(Gi)species by the methods of untargeted and targeted metabolomics and systemically predicted the mechanism in treating prostatitis.As a result,91 compounds were successfully identified and most compounds showed remarkable difference between Gu and Gi samples.Multivariate statistics further demonstrated that the Gu samples were significantly discriminated from the Gi samples in the content level of main compounds.Interestingly,we also found that those compounds had two main accumulation patterns in licorice.Network pharmacology analysis predicted that those compounds in licorice interacted with a wide of targets in body and interrupted prostatitis by 17 key targets.This study would be of significance to the study on quality control and development of licorice-related products and offer a scientific basis for exploring the mechanism of treating prostatitis.
机译:甘草已被用作数千年来在亚洲国家治疗慢性疾病的重要草药。在这项研究中,使用UHPLC-LTQ-Orbitrap MS来广泛识别来自Glycyrrrhiza Uralensis(GU)和G.Inflata的持牌化合物。 (GI)通过未靶向和靶向代谢组学的方法,并系统地预测了治疗前列腺炎的机制。结果,成功鉴定出了91种化合物,大多数化合物在GU和GI样品之间表现出显着差异。Multivariate统计数据进一步证明了GU样品进一步证明了样本在主化合物的含量水平上与GI样品显着区别。令人感兴趣,我们还发现这些化合物在甘草中具有两个主要的积累模式。NETWork药理学分析预测,甘草中的这些化合物与体内的广泛靶标相互作用并中断了。前列腺炎由17个关键靶标。这项研究对质量cont的研究至关重要OL和与甘草相关产品的开发,并为探索治疗前列腺炎的机制提供了科学基础。

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