[Objectives] To explore the potential targets and action mechanism of radix aucklandiae (RA) in the treatment of gastric ulcer (GU) by network pharmacology. [Methods] Gene targets were obtained through TCMSP, DisGeNet...[Objectives] To explore the potential targets and action mechanism of radix aucklandiae (RA) in the treatment of gastric ulcer (GU) by network pharmacology. [Methods] Gene targets were obtained through TCMSP, DisGeNet, OMIM, GeneCards databases, which related to GU and the active components of RA. The mutual potential functional targets were selected through Venny to constitute the PPI protein interaction network. The DAVID database was applied for GO and KEGG enrichment analysis of the common targets to construct the "Active component-Target-Pathway" network and analyze the relationship between them. [Results] There are 31 active components, 82 related targets and 16 common targets in the treatment of GU. The active components in Ra may exert anti-ulcer effects through six signaling pathways, including NF-κB, Toll-like receptors, VEGF and HIF-1. In addition, PTGS2, TNF, TLR4, JUN, IL2, SRC, RELA, KDR, NOS2 and PLAU may be the 10 key targets of Ra in the treatment of GU. [Conclusions] Ra controls GU through the synergies of multiple components, targets and pathways. It can provide a theoretical basis for further study on the mechanism of RA in treating GU.展开更多
基金Supported by Natural Science Foundation of Yunnan Province(202101AZ070001-210)Scientific Research Foundation of Education Department of Yunnan Province(2022Y268)Research Project of Pharmacy Innovation Foundation of Anhui Medical University(YXCX202201).
文摘[Objectives] To explore the potential targets and action mechanism of radix aucklandiae (RA) in the treatment of gastric ulcer (GU) by network pharmacology. [Methods] Gene targets were obtained through TCMSP, DisGeNet, OMIM, GeneCards databases, which related to GU and the active components of RA. The mutual potential functional targets were selected through Venny to constitute the PPI protein interaction network. The DAVID database was applied for GO and KEGG enrichment analysis of the common targets to construct the "Active component-Target-Pathway" network and analyze the relationship between them. [Results] There are 31 active components, 82 related targets and 16 common targets in the treatment of GU. The active components in Ra may exert anti-ulcer effects through six signaling pathways, including NF-κB, Toll-like receptors, VEGF and HIF-1. In addition, PTGS2, TNF, TLR4, JUN, IL2, SRC, RELA, KDR, NOS2 and PLAU may be the 10 key targets of Ra in the treatment of GU. [Conclusions] Ra controls GU through the synergies of multiple components, targets and pathways. It can provide a theoretical basis for further study on the mechanism of RA in treating GU.
