Integrated spatial metabolomics and network pharmacology to explore the pharmacodynamic substances and mechanism of Radix ginseng-Schisandra chinensis Herb Couple on Alzheimer's disease

被引:5
|
作者
Fan, Yuting [1 ,2 ]
Wang, Aimin [1 ,2 ]
Liu, Zhiqiang [1 ,2 ]
Xing, Junpeng [1 ]
Zheng, Zhong [1 ]
Song, Fengrui [1 ,2 ]
Hou, Zong [1 ]
Liu, Shu [1 ,2 ]
机构
[1] Chinese Acad Sci, Natl Ctr Mass Spectrometry Changchun & Jilin Prov, State Key Lab Electroanalyt Chem, Key Lab Chinese Med Chem & Mass Spectrometry,Chang, Changchun 130022, Peoples R China
[2] Univ Sci & Technol China, Sch Appl Chem & Engn, Hefei 230026, Peoples R China
基金
中国国家自然科学基金;
关键词
Spatial metabolomic; Network pharmacology; Radix ginseng; Schisandra chinensis; Alzheimer's disease;
D O I
10.1007/s00216-024-05364-z
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Radix ginseng and Schisandra chinensis have been extensively documented in traditional Chinese medicine (TCM) for their potential efficacy in treating dementia. However, the precise mechanism of their therapeutic effects remains to be fully elucidated. In this study, air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) and network pharmacology are used to investigate the pharmacodynamics and mechanism underlying the herbal combination consisting of Radix ginseng-Schisandra chinensis (RS) in a rodent model for Alzheimer's disease (AD). Brain histopathological findings suggested that RS attenuates hippocampal damage in AD mice, making this combination a potential AD treatment. Twenty-eight biomarkers were identified by spatial metabolomics analysis, which are intricately linked to neuroinflammation, neurotransmitter imbalance, energy deficiency, oxidative stress, and aberrant fatty acid metabolism in AD. The total extract of RS (TE) affected 22 of these biomarkers, with the small molecule components of RS (SN) significantly influencing 19 and the large molecule components of RS (PR) impacting 14. Nine small molecule components are likely to dominate the pharmacodynamics of RS. We constructed a target interaction network based on the corresponding bioactivities that revealed relationships amongst 11 key biomarkers, 8 active ingredients and 12 critical targets. This research illustrates the immense potential of spatial metabolomics and network pharmacology in the study of TCM, revealing the targets and mechanisms underlying herbal formulas.
引用
收藏
页码:4275 / 4288
页数:14
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