Mechanism of active ingredients in Periploca forrestii compound against rheumatoid arthritis based on integrative metabolomics and network pharmacology.
10.19540/j.cnki.cjcmm.20220913.702
- Author:
Qin ZHANG
1
;
Hong ZHANG
2
;
Chun-Mei YANG
3
;
Bo WANG
1
;
Chen-Yang LI
1
;
Qi LI
2
Author Information
1. College of Life Sciences, Sichuan Normal University Chengdu 610101, China.
2. College of Life Sciences, Sichuan Normal University Chengdu 610101, China Plant Functional Genome and Bioinformatics Research Center, Sichuan Normal University Chengdu 610101, China.
3. Chengdu Product Quality Supervision and Inspection Institute Chengdu 610101, China.
- Publication Type:Journal Article
- Keywords:
Periploca forrestii compound;
UPLC-Q-TOF-HRMS;
active ingredients;
network pharmacology;
rheumatoid arthritis;
spleen metabolomics
- MeSH:
Rats;
Animals;
Periploca;
Cysteine;
Cytidine Diphosphate Choline;
Network Pharmacology;
Phosphorylcholine;
Metabolomics;
Arthritis, Rheumatoid/drug therapy*;
Biomarkers;
Glycerophospholipids;
Methionine;
Purines;
Chromatography, High Pressure Liquid
- From:
China Journal of Chinese Materia Medica
2023;48(2):507-516
- CountryChina
- Language:Chinese
-
Abstract:
In this study, an ultra-performance liquid chromatography-quadrupole time-of-flight high resolution mass spectrometer(UPLC-Q-TOF-HRMS) was used to investigate the effects of the active ingredients in Periploca forrestii compound on spleen metabolism in rats with collagen-induced arthritis(CIA), and its potential anti-inflammatory mechanism was analyzed by network pharmacology. After the model of CIA was successfully established, the spleen tissues of rats were taken 28 days after administration. UPLC-Q-TOF-HRMS chromatograms were collected and analyzed by principal component analysis(PCA), orthogonal partial least squares discriminant analysis(OPLS-DA), and MetPA. The results showed that as compared with the blank control group, 22 biomarkers in the spleen tissues such as inosine, citicoline, hypoxanthine, and taurine in the model group increased, while 9 biomarkers such as CDP-ethanolamine and phosphorylcholine decreased. As compared with the model group, 21 biomarkers such as inosine, citicoline, CDP-ethanolamine, and phosphorylcholine were reregulated by the active ingredients in P. forrestii. Seventeen metabolic pathways were significantly enriched, including purine metabolism, taurine and hypotaurine metabolism, glycerophospholipid metabolism, and cysteine and methionine metabolism. Network pharmacology analysis found that purine metabolism, glycerophospholipid metabolism, and cysteine and methionine metabolism played important roles in the pathological process of rheumatoid arthritis. This study suggests that active ingredients in P. forrestii compound can delay the occurrence and development of inflammatory reaction by improving the spleen metabolic disorder of rats with CIA. The P. forrestii compound has multi-target and multi-pathway anti-inflammatory mechanism. This study is expected to provide a new explanation for the mechanism of active ingredients in P. forrestii compound against rheumatoid arthritis.
