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

被引:1
|
作者
Luo, Zhiqiang [1 ,2 ]
Yu, Guohua [1 ]
Chen, Xinjing [2 ]
Liu, Yang [2 ]
Zhou, Yating [1 ]
Wang, Guopeng [3 ]
Shi, Yuanyuan [1 ]
机构
[1] Beijing Univ Chinese Med, Sch Life Sci, Beijing 102488, Peoples R China
[2] Beijing Univ Chinese Med, Sch Chinese Mat Med, Beijing 102488, Peoples R China
[3] Zhongcai Hlth Beijing Biol Technol Dev Co Ltd, Beijing 101500, Peoples R China
关键词
AMYLOID-BETA-PEPTIDE; MITOCHONDRIAL DYSFUNCTION; OXIDATIVE STRESS; FERULIC ACID; CALMODULIN; PROTEIN; GENES; MODEL; BRAIN; TNF;
D O I
10.1039/c9fo02840d
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1362 / 1372
页数:11
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