Pharmacological network-based study on quality control of Carthamus tinctorius L. for safflower injection
10.16438/j.0513-4870.2019-0432
- VernacularTitle:基于网络药理学的红花注射液用红花药材质量控制方法研究
- Author:
Xiao-ru HU
1
;
Hai-rong ZHENG
2
;
Hai-xia DANG
3
;
Qin HU
2
;
Shuai KANG
1
;
Zhong DAI
1
;
Shuang-cheng MA
1
Author Information
1. National Institutes for Food and Drug Control, Beijing 100050, China
2. Beijing University of Technology, Beijing 100124, China
3. Research Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Publication Type:Research Article
- Keywords:
network pharmacological;
italic>Carthamus tinctorius L.;
fingerprint;
quality control
- From:
Acta Pharmaceutica Sinica
2019;54(11):2074-2082
- CountryChina
- Language:Chinese
-
Abstract:
We determined a component-target-disease network for Carthamus tinctorius L. and the key compounds, identified by topological analysis, were related to vasculitis, coronary heart and cerebrovascular disease. Based on these compounds, the chromatographic fingerprint of Carthamus tinctorius L. was established. Firstly, 132 compounds were obtained from TCMID and TCMSP databases. Their targets were predicted in the PharmMapp and HemMapper databases. CardioGenBase, Therapeutic Target Database and DisGeNET databases were used to collect targets of vasculitis, coronary heart disease and cerebrovascular disease. The corresponding relationships between component and target protein were established by mapping. Finally, the "component-target-disease" network was built with Cytoscape software. The core network and key nodes were analyzed with the Cytohubba plug-in. The results showed that the 24 key compounds were alpha-tocopherol, adenosine, quinone chalcone pigments such as hydroxysafflor yellow A, safflower yellow, quercetin, kaempferol and other flavonoids, organic acids such as stearic acid, linolenic acid, coumaric acid and cinnamic acid. This resulting chromatographic fingerprint of Carthamus tinctorius L. showed good consistency, and the core chemical compounds obtained by topological analysis of the network of "component-target-disease", could be used as quality control markers. Our research provides a new approach for the identification of quality control indicators in Chinese medicinal materials.
