Exploring the pharmacological mechanism of danhe granules against hyperlipidemia by means of network pharmacology and verified by preliminary experiments
网络药理学探索丹和颗粒抗高脂血症的药理作用机制及初步实验验证
ネットワーク薬理学による高脂血症に対するダンヘ顆粒の薬理学的メカニズムの調査と予備実験による検証
네트워크 약리학을 통해 고지혈증에 대한 단허 과립의 약리학적 메커니즘을 탐색하고 예비 실험을 통해 검증
Exploración del mecanismo farmacológico de los gránulos danhe contra la hiperlipidemia mediante farmacología en red y verificado mediante experimentos preliminares
Exploration du mécanisme pharmacologique des granules de danhe contre l'hyperlipidémie au moyen de la pharmacologie de réseau et vérifié par des expériences préliminaires
Изучение фармакологического механизма гранул Danhe против гиперлипидемии с помощью сетевой фармакологии и подтверждено предварительными экспериментами
Zhi-Qing Zhang 张志清 ¹, Ai-Ping Chen ¹, Tong Yu 于彤 ¹, Shuang-Jie Yang 杨双杰 ¹, De-Shuai Yu 俞德帅 ², Ran Yang 杨然 ³, Xin-Lou Chai 柴欣楼 ¹
¹ School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
中国 北京 北京中医药大学中医学院
² Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
中国 北京 北京中医药大学东直门医院
³ Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
中国 北京 中国中医科学院广安门医院 心血管内科
World Journal of Traditional Chinese Medicine, 23 September 2021
Objective
This study explored the multicomponent, multitarget, and multipathway mechanism of Danhe granules (DG) against hyperlipidemia through network pharmacology. The relevant targets and pathways were verified by preliminary experiments.
Methods
The active components of DG were selected by TCMSP and TCMIP database, and the component-target network diagram was constructed by Cytoscape 3.7.1. The protein–protein interaction network of targets was constructed and core targets were screened out by STRING11.0 database. Metascape database and Cytoscape 3.7.1 were used to enrich the target and establish a hyperlipidemia model in Sprague-Dawley (SD) rats to detect blood lipid and oxidative stress indexes and observed pathological changes of aorta by H and E staining.
Results
The results showed that a total of seven active components of DG were screened out, including quercetin, sitosterol, luteolin, kaempferol, etc. There were 127 corresponding targets, including AKT1, tumor necrosis factor, TP53, interleukin-6, RELA, vascular endothelial growth factor, superoxide dismutases, and catalase. It is mainly involved in biological processes such as drug response, regulation of apoptosis, redox reaction, and lipid reaction. There were 573 signal pathways corresponding to the target, including HIF-1 signal pathway, TNF signal pathway, VEGF signal pathway, nonalcoholic fatty liver disease, etc. The experiment verified that DG can reduce the blood lipid of SD rats by regulating the process of oxidative stress.
Conclusions
This study made a preliminary study on the pharmacological mechanism of DG against hyperlipidemia and laid the foundation for the research and development of new drugs and subsequent in-depth research.
