Anti-Rheumatoid Arthritis Pharmacodynamic Substances Screening of Periploca forrestii Schltr.: Component Analyses In Vitro and In Vivo Combined with Multi-Technical Metabolomics.
Jia SunZu-Ying ZhouYang ZhouTing LiuYueting LiZi-Peng GongYang JinLin ZhengYong HuangPublished in: International journal of molecular sciences (2023)
The purpose of this study was to elucidate the metabolic action patterns of P. forrestii against rheumatoid arthritis (RA) using metabolomics, and to obtain its potential effective substances for treating RA. First, the therapeutic effects of P. forrestii against RA were confirmed; second, the chemical composition of P. forrestii was analyzed, and 17 prototypes were absorbed into blood; subsequently, plasma metabolomics studies using UPLC-Triple-TOF-MS/MS and GC-MS were performed to disclose the metabolomics alterations in groups, which revealed 38 altered metabolites after drug intervention. These metabolites were all associated with the arthritis pathophysiology process (-log( p ) > 1.6). Among them, sorted by variable important in projection (VIP), the metabolites affected (VIP ≥ 1.72) belonged to lipid metabolites. Finally, Pearson's analysis between endogenous metabolites and exogenous compounds was conducted to obtain potential pharmacological substances for the P. forrestii treatment of RA, which showed a high correlation between five blood-absorbed components and P. forrestii -regulated metabolites. This information provides a basis for the selection of metabolic action modes for P. forrestii clinical application dosage, and potential pharmacological substances that exerted anti-RA effects of P. forrestii were discovered. The study provided an experimental basis for further research on pharmacoequivalence, molecular mechanism validation, and even the development of new dosage forms in the future.
Keyphrases
- rheumatoid arthritis
- ms ms
- disease activity
- mass spectrometry
- ankylosing spondylitis
- drinking water
- interstitial lung disease
- randomized controlled trial
- systemic lupus erythematosus
- multiple sclerosis
- magnetic resonance imaging
- healthcare
- emergency department
- human health
- social media
- transcription factor
- electronic health record