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Fuling-Guizhi Herb Pair in Coronary Heart Disease: Integrating Network Pharmacology and In Vivo Pharmacological Evaluation.


ABSTRACT: The Fuling (Poria cocos)-Guizhi (Cinnamomi ramulus) herb pair (FGHP) is a commonly used traditional Chinese herbal formula with coronary heart disease (CHD) treatment potential. However, the mechanism of FGHP in the treatment of CHD was still unclear. In this study, the action targets and underlying mechanism of FGHP against CHD were successfully achieved by combined network pharmacology prediction with experimental verification. 76 common targets were screened out by overlapping the chemical-protein data of FGHP and CHD-related targets. Then, two key targets were further selected for verification by using western blot analysis after analyzing PPI, GO function, and KEGG pathway. Results indicated FGHP could alleviate CHD syndromes and regulate inflammatory responses in acute myocardial ischemia rats, and the reduction of expression of TNF-? and IL-6 in myocardial tissue would be one of its possible underlying mechanisms. Our work demonstrated that network pharmacology combined with experimental verification provides a credible method to elucidate the pharmacological mechanism of FGHP against CHD.

SUBMITTER: Duan B 

PROVIDER: S-EPMC7251461 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Fuling-Guizhi Herb Pair in Coronary Heart Disease: Integrating Network Pharmacology and In Vivo Pharmacological Evaluation.

Duan Bailu B   Han Lintao L   Ming Shuping S   Li JingJing J   Wang Qiong Q   Zhang Dongning D   Tian Guangyu G   Huang Fang F  

Evidence-based complementary and alternative medicine : eCAM 20200517


The Fuling (<i>Poria cocos</i>)-Guizhi (<i>Cinnamomi ramulus</i>) herb pair (FGHP) is a commonly used traditional Chinese herbal formula with coronary heart disease (CHD) treatment potential. However, the mechanism of FGHP in the treatment of CHD was still unclear. In this study, the action targets and underlying mechanism of FGHP against CHD were successfully achieved by combined network pharmacology prediction with experimental verification. 76 common targets were screened out by overlapping t  ...[more]

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