Study on Anti-Blood Active Ingredients and Mechanism of Danshen Ligustrazine Injection Based on UPLC-Q/TOF MS and Network Pharmacology

被引:0
作者
Dong Q.-H. [1 ]
Liu H. [2 ]
Liu J.-L. [1 ]
Li H.-Q. [1 ]
Jiao Y.-F. [1 ]
Si Y. [1 ]
Liu Y.-H. [1 ]
Wang Z.-Y. [1 ]
Liu J.-P. [1 ]
Li P.-Y. [1 ]
Li Z. [1 ]
机构
[1] Natural Product Research Center, College of Pharmacy, Jilin University, Changchun
[2] Jilin Sichang Pharmaceutical Co., Ltd., Meihekou
关键词
Active ingredient; Anti-blood stasis; Danshen ligustrazine injection; Network pharmacology; UPLC-Q/TOF MS;
D O I
10.7538/zpxb.2019.0130
中图分类号
学科分类号
摘要
UPLC-Q/TOF MS was used to determine the chemical composition of Salvia miltiorrhiza and Ligustrazine injection, and the components were compared by UNIFI natural product analysis platform. Accurate molecular mass, retention time, and mass fragment ion information were used to analyze and identify structures. Various types of compounds such as flavonoids, esters, and quinones were identified in the injection with a total of more than 40 kinds. The chemical components identified include salvia miltiorrhiza, protocatechuic acid, caffeic acid, salvianolic acid and other water-soluble components of salvia miltiorrhizae and ligustrazine, a landmark component of chuanxiong alkaloids. These chemical components have anti-oxidation, anti-platelet activation, protection damage to vascular endothelial cells, protection of ischemic cardiomyocytes, protection of ischemia-reperfusion injury of brain cells, liver protection, kidney and many other pharmacological effects. It is speculated that Danshen ligustrazine injection is able to promote blood circulation and remove blood stasis. At the same time, the identified compounds were screened using the Five-Ribsky rule, and the chemical components screened were classified as active ingredients that might enter the body to play a role. Databases such as TCMSP, BATMAN-TCM, Swiss Target Prediction, DisGeNET, TTD, GeneCards and so on were used to find potential targets for active ingredients and targets for blood stasis diseases, and screen for targets where the two intersect. A total of 20 active ingredients were screened, involving 51 intersection targets. The active ingredient-anti-blood stasis target network map was constructed by Cytoscape software. Using DAVID and other databases to predict the anti-blood stasis pathways of intersection targets, a total of 24 targets including AKT1, MAPK1, PIK3CG, RELA, and BCL2 were predicted to be involved in the PI3K-Akt signaling pathway, platelet activation pathway, sphingolipid signaling pathway, cAMP 10 pathways including signal pathway, mTOR signal pathway, VEGF signal pathway, MAPK signal pathway, AMPK signal pathway, JAK-STAT signal pathway, arachidonic acid metabolism were related to blood stasis diseases, and anti-blood stasis targets were constructed by Cytoscape software-Network diagram of action pathways. The above research results showed that Salvia miltiorrhiza and Ligustrazine injection were rich in small-molecule chemical components and the structure types were diverse. The active ingredient-anti-blood stasis target network diagram and anti-blood stasis target-action pathway network diagram constructed initially reveal the salvia. The mechanism of ligustrazine injection "multi-component-multi-target-multi-path" in the treatment of blood stasis disease provides a theoretical basis for further research on the basis of medicinal substances and mechanism of action. © 2021, Editorial Board of Journal of Chinese Mass Spectrometry Society. All right reserved.
引用
收藏
页码:24 / 35
页数:11
相关论文
共 30 条
[1]  
ZHANG Lixin, HUANG Linhong, Effects and mechanisms of Salviae Miltiorrhizae and Ligustrazine Hydrochloride injection on vasodilation of rat cerebral basilar artery, Traditional Chinese Drug Research and Clinical Pharmacology, 27, 2, pp. 184-188, (2016)
[2]  
LUO Xin, LUO Ying, Progress in clinical application of Salviae miltiorrhizae and Ligustrazine hydrochloride injection, Biped and Health, 27, 8, pp. 166-167, (2018)
[3]  
YUAN Yuan, Determination and analysis of total phenolic acid in salvia miltiorrhiza Bunge, Traditional Chinese Medicinal Research, 31, 11, pp. 63-65, (2018)
[4]  
ZHANG Yang, FENG Baomin, LU Xuan, Research progress on application of UPLC/Q-TOF-MS in pharmaceutical analysis, Natural Product Research and Development, 29, 11, pp. 1992-1996, (2017)
[5]  
DONG Qinghai, LIU Hui, WANG Han, WU Fulin, TAN Jing, LIU Jinping, LI Pingya, Effect of Danshen Chuangxiongqin injection on hemorheology and plasma GMP-140 and vWF in acute blood stasis model rats, Central South Pharmacy, 17, 7, pp. 1049-1051, (2019)
[6]  
HOPKINS A L., Network pharmacology, Nature Biotechnology, 25, 10, pp. 1110-1111, (2007)
[7]  
HOPKINS A L., Network pharmacology: the next paradigm in drug discovery, Nature Chemical Biology, 4, 11, pp. 682-690, (2008)
[8]  
TANG F, TANG Q, TIAN Y, FAN Q, HUANG Y, TAN X., Network pharmacology-based prediction of the active ingredients and potential targets of Mahuang Fuzi Xixin decoction for application to allergic rhinitis, Journal of Ethnopharmacology, 176, pp. 402-412, (2015)
[9]  
XIE Jing, GAO Shan, LI Lin, XU Yilan, GAO Shuming, YU Chunquan, Research progress and application strategy on network pharmacology in Chinese materia medica[J], Chinese Traditional and Herbal Drugs, 50, 10, pp. 2257-2265, (2019)
[10]  
LIANG X, LI H, LI S., A novel network pharmacology approach to analyse traditional herbal formulae: the Liu-Wei-Di-Huang pill as a case study[J], Molecular BioSystems, 10, 5, (2014)