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Exploration of the potential mechanism of Danggui Shaoyao powder in the treatment of endometriosis based on bioinformatics
- Source :
- Journal of Traditional Chinese Medical Sciences, Vol 6, Iss 4, Pp 355-364 (2019)
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Background: Endometriosis is a hormone- and organ-dependent disease with unclear pathogenesis. Danggui Shaoyao powder (DSP) has been used for the treatment of endometriosis for many years and has been proven to be effective, but its underlying molecular mechanisms remain unclear. In this study, we explored the molecular targets and pathways of DSP in the treatment of endometriosis mainly from the perspective of network pharmacology, and provided some novel ideas for managing this disease. Methods: In the present study, we focused on the underlying mechanisms between DPS and endometriosis, via oral bioavailability screening, drug similarity assessment, target identification, network analysis, drug relocation, and molecular docking using network pharmacology. Results: By bioinformatics, 54 active components of DSP were predicted from the 534 components provided by the TCMSP database. We then found 85 validated targets and 6059 predicted targets for herbal components, and 2241 targets for endometriosis. After mapping, there were 255 targets in common. After that, network analysis was performed to screen key networks and core targets. Ninety-nine indirect targets were collected from 14 direct ones. GO and KEGG analyses identified 63 enriched functions and 10 pathways (P
- Subjects :
- Mechanism (biology)
business.industry
Endometriosis
Active components
lcsh:RZ409.7-999
Bioinformatics
medicine.disease
Complementary and alternative medicine
Interaction network
Network pharmacology
Molecular targets
medicine
KEGG
business
lcsh:Miscellaneous systems and treatments
Potential mechanism
Subjects
Details
- ISSN :
- 20957548
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of Traditional Chinese Medical Sciences
- Accession number :
- edsair.doi.dedup.....c371bdfabd2446ef8aa3ee789e9d7f38