Investigation of potential pharmacodynamic substances and mechanism of Qingxin-zishen prescription decoction in treatment of menopause syndrome based on HPLC-Q-TOF-MS/MS and network pharmacology
10.12092/j.issn.1009-2501.2022.05.001
- Author:
Qian YAO
1
;
Yun CHEN
1
;
Wenzheng JU
1
;
Jiandong ZOU
1
;
Su LU
1
;
Meijuan XU
1
;
Qian YAO
2
;
Juan SHANG
3
;
Xiaoyun XI
3
;
Ying CHEN
3
;
Xiao GU
3
Author Information
1. Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Provincial Hospital of Traditional Chinese Medicine
2. Huaian Hospital of Traditional Medicine
3. Nanjing University of Chinese Medicine
- Publication Type:Journal Article
- Keywords:
HPLC-Q-TOF/MS;
Menopause syndrome;
Molecular docking;
Network pharmacology;
Qingxin-zishen prescription;
Signaling pathways
- From:
Chinese Journal of Clinical Pharmacology and Therapeutics
2022;27(5):481-497
- CountryChina
- Language:Chinese
-
Abstract:
AIM: To analyze the chemical ingredients of Qingxin-zishen prescription decoction (QZPD) and predict its main pharmacodynamic substances and mechanism in the prevention and treatment of menopause syndrome (MPS) with the help of high performance liquid chromatography-quadrupole-time of flight mass spectrometry (HPLC-Q-TOF/MS) combined with network pharmacology. METHODS: The chemical ingredients of QZPD were identified after analyzing the retention time, exact mass, secondary mass spectrometry fragmentation and other information obtained from HPLC-Q-TOF/MS and comparing them with the established chemical ingredients database and the literatures. The targets of ingredients in QZPD were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and SwissTargetPrediction database. The disease targets of MPS were obtained through Online Mendelian Inheritance in Man (OMIM) and GeneCards Database. Gene ontology (GO) function enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of potential targets were analyzed with the Metascape database. Cytoscape 3.7.2 software was used to construct the network of active components-key targets-pathways. AutoDockTools 4.2.5 software was applied in the molecular docking verification between the key active components and key targets. RESULTS: A total of 83 components were identified in QZPD and 847 drug targets were predicted. After intersection them with 3 050 disease targets, 395 common targets were obtained. After network topology analysis, 74 key targets were obtained, involving mitogen-activated protein kinase (MAPK), phosphatidylinositol-3 kinase/protein kinase B (PI3K/Akt), transforming growth factor-β (TGF-β) and other signaling pathways. Molecular docking analysis results indicated that 23 key active components, such as berberine, epiberberine, coptisine, geissoschizine methyl ether, liensinine, norcoclaurine, palmatine, quercetin, and luteolin, had good binding activity with several of the key targets. CONCLUSION: This study preliminarily identifies the potential effective chemical ingredients of QZPD, predicts its targets in the prevention and treatment of MPS, which provides supporting information for the further study of the pharmacodynamic substances and mechanisms of QZPD.
