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基于 UHPLC-LTQ-Orbitrap 的综合植物化学分析及网络药理学方法探讨黑果枸杞改善阿尔茨海默病的潜在机制。

Integrated phytochemical analysis based on UHPLC-LTQ-Orbitrap and network pharmacology approaches to explore the potential mechanism of Lycium ruthenicum Murr. for ameliorating Alzheimer's disease.

机构信息

School of Life Sciences, Beijing University of Chinese Medicine, Beijing 102488, China.

School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.

出版信息

Food Funct. 2020 Feb 26;11(2):1362-1372. doi: 10.1039/c9fo02840d.

Abstract

Based on compelling experimental and clinical evidence, the fruit of Lycium ruthenicum Murr. (LRM), a unique traditional Tibetan medicine, exerts beneficial effects on ameliorating learning and memory deficits of Alzheimer's disease (AD) and other neurodegenerative disorders. However, the potential active constituents and biological mechanism of LRM are still unknown. In this study, the major chemical constituents of LRM were first analyzed by ultra-high-pressure liquid chromatography coupled with linear ion trap-Orbitrap tandem mass spectrometry (UHPLC-LTQ-Orbitrap). A total of 35 constituents were confirmed or tentatively identified. Furthermore, the network-based pharmacological strategy was applied to clarify the molecular mechanism of LRM on AD based on the identified components. Totally, 143 major targets were screened and supposed to be effective players in alleviating AD. Then, the LRM chemicals-major LRM putative targets-major pathways network was constructed, implying potential biological function of LRM on AD. More importantly, 12 core genes which can be modulated by LRM were identified, and they may play a pivotal role in alleviating some major symptoms of AD. This study provided a scientific basis for further investigation and application of LRM, which demonstrated that the network pharmacology approach could be a powerful way for the mechanistic studies of folk medicines.

摘要

基于令人信服的实验和临床证据,黑果枸杞(LRM)这种独特的藏药对改善阿尔茨海默病(AD)和其他神经退行性疾病的学习和记忆缺陷具有有益作用。然而,LRM 的潜在活性成分和生物学机制仍不清楚。在这项研究中,首先通过超高压液相色谱-线性离子阱-Orbitrap 串联质谱联用技术(UHPLC-LTQ-Orbitrap)分析了 LRM 的主要化学成分。共鉴定出 35 种成分。此外,基于鉴定出的成分,应用基于网络的药理学策略阐明了 LRM 治疗 AD 的分子机制。总共筛选出 143 个主要靶点,并假设它们是缓解 AD 的有效靶点。然后构建了 LRM 化学成分-LRM 潜在靶点-主要通路网络,提示 LRM 对 AD 具有潜在的生物学功能。更重要的是,确定了 12 个可被 LRM 调节的核心基因,它们可能在缓解 AD 的一些主要症状中发挥关键作用。这项研究为进一步研究和应用 LRM 提供了科学依据,表明网络药理学方法可能是研究民间药物机制的有力手段。

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