Pharmacodynamic and Material Basis of Scutellaria Baicalensis Against Respiratory Syncytial Virus Pneumonia in Mice by Network Pharmacology Combined with Grey Relational Analysis
10.13748/j.cnki.issn1007-7693.20221591
- VernacularTitle:网络药理学联合灰色关联分析黄芩抗呼吸道合胞病毒小鼠肺炎的药效物质基础研究
- Author:
GAO Yang
1
;
LYU Ling
2
;
ZHAI Yang
3
;
JIA Mingqian
1
;
ZHAO Bonian
1
;
SONG Yong
4
Author Information
1. Shandong University of Traditional Chinese Medicine, Jinan 250355, China
2. Shandong Red Cross Disaster Preparedness and Rescue Center, Jinan 250014, China
3. Shandong Cancer Hospital, Jinan 250117, China
4. Dongying Center for Disease Control and Prevention, Dongying 257092, China
- Publication Type:Journal Article
- Keywords:
Scutellaria Baicalensis;
respiratory syncytial virus;
network pharmacology;
Q-Markers;
pharmacodynamic material basis;
grey relational analysis
- From:
Chinese Journal of Modern Applied Pharmacy
2023;40(15):2056-2063
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To explore the anti-respiratory syncytial virus(RSV) pharmacodynamic material basis of Scutellaria Baicalensis. METHODS Network pharmacology method was used to analyze the anti-RSV targets of Scutellaria baicalensis. UPLC-QTOF-MS/MS was used to characterize the consensus components in Scutellaria Baicalensis. A mouse model of RSV pneumonia was established, and the changes of mouse body weight, lung index, lung pathological sections and IL-6 were detected. The gray correlation method was used to analyze the spectrum-effect data of 50 batches of Scutellaria baicalensis samples, and the effective components of Scutellaria baicalensis against RSV pneumonia mice were mined. RESULTS The protein-protein interaction network results determined that the core targets of Scutellaria baicalensis against RSV were AKT1, IL-6, TNF, MAPK3, SRC, HSP90AA1 and PTGS2; overall animal experiment proved that lung index of Scutellaria baicalensis decreased to varying degrees, and the inflammatory factor IL-6 had significant differences; grey correlation analysis showed that the anti-RSV chemical components in Scutellaria baicalensis were mainly flavonoid glycosides.CONCLUSION Using the network pharmacology method to determine the pharmacodynamic target, the gray correlation degree analysis component-target data, the method of mining the pharmacodynamic material basis is feasible, baicalin, wogonin, chrysin-6-C-arabinose-8-C-flavonoid glycoside, chrysin-6-C-arabinose-8-C-arabinoside and chrysin-7-O-glucuronide can be used as Q-Markers of Scutellaria baicalensis for quality evaluation.
