Study on Active Components and Mechanism of Volatile Oil of Citri reticulatae Preventing and Treating Alzhei- mer’s Disease Based on GC-MS and Network Pharmacology
- VernacularTitle:基于GC-MS与网络药理学的青皮挥发油防治阿尔茨海默症的活性成分及作用机制研究
- Author:
Tenghua WANG
1
;
Yingyi LUO
2
;
Yuchen WANG
3
;
Zhiyao REN
4
;
Jianxin TANG
1
;
Yongmei LI
1
;
Yi FANG
1
;
Bo WU
5
Author Information
1. Dept. of Pharmacy，the Fifth Affiliated Hospital of Guangzhou Medical University，Guangzhou 510700，China
2. Dept. of Pharmacy，Sun Yat-sen Memorial Hospital of Sun Yat-sen University，Guangzhou 510120，China
3. Senior Sc hool Section，Shenzhen Middle School，Guangdong Shenzhen 518001，China
4. College of Chinese Medicine，Guangzhou University of TCM，Guangzhou 510006，China
5. School of Pharmaceutical Sciences，Guangzhou Medical University，Guangzhou 511436，China
- Publication Type:Journal Article
- Keywords:
Citri reticulatae;
Volatile oil;
GC-MS;
Network pharmacology;
Alzheimer’s disease;
Mechanism
- From:
China Pharmacy
2020;31(17):2093-2100
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE：To predict the active components and potential target of volatile oil of Citri reticulatae preventing and treating Alzheimer ’s disease （AD）. METHODS ：The volatile oil of C. reticulatae was determined by GC-MS ，and identified according to NIST 11.L database and manual data analysis. The active components and targets of volatile oil of C. reticulatae were predicted through TCMSP and PharmMapper database. The related targets of AD were obtained by using GeneCards and OMIM databases. Venny 2.1.0 software mapping was used to obtain the direct targets of volatile oil of C. reticulatae against AD. Core nodes were mined with STRING database and Cytoscape 7.2.1 software，and the indirect targets of volatile oil of C. reticulatae against AD were obtained by mapping and duplication coith Venny 2.1.0 software. With the help of DAVID 6.7 database，the above direct and indirect targets （i.e. action targets ）were used for gene ontology （GO）function enrichment analysis and KEGG pathway enrichment analysis. Using Cytoscape 7.2.1 software， topology analysis was conducted for the network of “active components-acting targets ”of volatile oil of C. reticulatae ，with node degree value ，betweenness centrality and closeness centrality as indexes ，then key components and key targets were mined. RESULTS & CONCLUSIONS ：A total of 40 chemical components in volatile oil were identified by GC-MS ，all of them were active components ，including D-limonene，γ-terpinene，etc. A total of 151 active components-corresponding targets and 1 291 AD-related targets were mined ，including 48 direct targets and 41 indirect targets. The above 89 targets were mainly concentrated in cell fraction ，axon，cytosol and other cell components ；intracellular signaling cascade ，response to organic substance and other biological processes ；protein kinase activity and amine receptor activity and other molecular functions ；as well as cancer pathway ，calcium signaling pathway and neurotrophin signaling pathway （P＜ 0.05）. A total of 10 key components including α-terpinene，β-elemen，thymol and （－）-4-terpineol，as well as 21 key targets such as androgen receptor ，prostaglandin G/H synthase 2，mitogen activated protein kinase 14，muscarinic acetylcholine receptor M 1 were excavated ，indicating the effect of volatile oil of C. reticulatae against AD had the characteristics of multi-component ， multi-target and multi-channel.
