Title:Systematic Understanding of the Mechanisms of <i>Flos Chrysanthemi Indici</i>-mediated Effects on Hypertension <i>via</i> Computational Target Fishing
VOLUME: 23 ISSUE: 2
Author(s):Ye-Hui Chen, Shan-Shan Lei, Bo Li, Rong Luo, Xinglishang He, Yu-Zhi Wang, Fu-Chen Zhou, Gui-Yuan Lv* and Su-Hong Chen*
Affiliation:Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, Zhejiang University of Technology, Hangzhou, Zhejiang 310014
Keywords:Hypertension, Flos Chrysanthemi Indici, systematic pharmacology, metabolic hypertension, bioactive compound, flavonoids.
Abstract:
Aims and Objective: Hypertension-induced stroke and coronary artery disease are significant
causes of global morbidity and mortality. Metabolic hypertension has recently become the leading cause of
hypertension. Flos Chrysanthemi Indici (CIF) has a long history as a treatment of hypertension as part of
traditional Chinese medicine. However, its mechanisms of activity remain largely unknown. This study
was aimed to uncover the potential anti-hypertensive mechanisms of CIF based on network pharmacology.
Materials and Methods: In this research, a systems pharmacology approach integrating the measurement
of active compounds, target fishing, gene screening, Gene Ontology (GO) pathway analysis, Kyoto
Encyclopedia of Genes and Genomes (KEGG) Orthology Based Annotation System (KOBAS) database
analysis, and compound-target network construction were performed to explore the anti-hypertensive
mechanisms of CIF.
Results: These studies revealed that 12 bioactive compounds in CIF had good druggability, 5 of which
were flavonoids. After screening, 8 of those 12 bioactive compounds interacted with 118 hypertensionrelated
target genes, which were mapped to 218 signal pathways. Network analysis showed that these
targets were associated with improving insulin resistance, improving vascular function, inhibiting renninangiotensin-
aldosterone system (RAAS), inhibiting the sympathetic nervous system (SNS) and regulating
other physiological processes.
Conclusion: In summary, CIF is predicted to target multiple proteins and pathways to form a network that
exerts systematic pharmacological effects in order to regulate blood pressure and metabolic disorder.
