WU Dan,CHEN Hong,JIANG Hong,et al.Screening of Active Components and Analysis of Mechanism of Dipsaci Radix in Treating Rheumatoid Arthritis Based on UPLC-QTOF-MS/MS and TCMIP[J].Chinese Journal of Experimental Traditional Medical Formulae,2021,27(16):131-140.
WU Dan,CHEN Hong,JIANG Hong,et al.Screening of Active Components and Analysis of Mechanism of Dipsaci Radix in Treating Rheumatoid Arthritis Based on UPLC-QTOF-MS/MS and TCMIP[J].Chinese Journal of Experimental Traditional Medical Formulae,2021,27(16):131-140. DOI: 10.13422/j.cnki.syfjx.20211049.
Screening of Active Components and Analysis of Mechanism of Dipsaci Radix in Treating Rheumatoid Arthritis Based on UPLC-QTOF-MS/MS and TCMIP
To explore active components and mechanism of Dipsaci Radix in treating rheumatoid arthritis (RA) based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS/MS) and Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine (TCMIP).
Method
2
UPLC-QTOF-MS/MS with electrospray ionization (ESI) was used to qualitatively analyze the chemical components in methanol extract of Dipsaci Radix under positive and negative ion scanning modes. The mobile phase consisted of 0.1% formic acid aqueous solution (A)-acetonitrile (B) for gradient elution (0-10 min, 0.2%-20%B; 10-20 min, 20%-40%B; 20-25 min, 40%-50%B; 25-33 min, 50%-98%B; 33-35 min, 98%-0.2%B), and the scanning range was
m
/
z
50-2 000. Based on TCMIP, candidate target groups of Dipsaci Radix, RA and syndrome with Yin deficiency of liver and kidney were obtained, and correlation analysis on "disease-syndrome-prescription" was used to enrich the main active components and key targets. Cytoscape 3.8.0 and STRING 11.0 database were used to construct protein-protein interaction (PPI) network diagram. Metascape platform was used to analysis gene ontology biological progress and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways.
Result
2
A total of 81 ingredients were identified by UPLC-QTOF-MS/MS. Based on TCMIP, 283 candidate targets corresponding to 81 ingredients, 7 RA related targets and 215 genes corresponding to syndrome with Yin deficiency of liver and kidney were collected. With further correlation analysis on "disease-syndrome-prescription", 17 key active ingredients were predicted, mainly including saponins and fatty acids of Dipsaci Radix. It mainly involved 7 hub targets, namely tumor necrosis factor (TNF), nuclear factor-
κ
B subunit 1 (NF-
κ
B
1
), hepatocyte nuclear factor 4 alpha (HNF4A), nuclear receptor subfamily 3 group C member 1 (NR3C1), peroxisome proliferator activated receptor gamma (PPARG), nuclear receptor subfamily 1 group H member 4 (NR1H4) and nuclear receptor coactivator 1 (NCOA1). All of them were related to inflammation, and two of them were related to bile acid pathway. The 7 hub targets and 7 pathways played an important role in RA were screen out, including 4 bile acid related pathways and 3 inflammatory related pathways.
Conclusion
2
UPLC-QTOF-MS/MS combined with TCMIP preliminarily elucidates the regulatory effect of multi-components in Dipsaci Radix on several pathways related to the inflammatory response and bile acid synthesis and metabolism, which lays a foundation for further study on the mechanism of Dipsaci Radix against RA.
关键词
Keywords
references
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