Rapid characterization of the absorbed chemical constituents of Tangzhiqing formula following oral administration using UHPLC-Q-TOF-MS.
Xiao-Lei WuMing-Jiang WuXin-Ze ChenHong-Min ZhangLi-Qin DingFu-Ying TianXiao-Meng FuFeng QiuDe-Qin ZhangPublished in: Journal of separation science (2018)
Tangzhiqing formula, a Chinese herbal formula, is used for the treatment of type II diabetes and prediabetes. Although its effectiveness has been certified by clinical use, its absorbed chemical constituents are not comprehensively represented. Thence, in order to reveal potential bioactive components and metabolism of Tangzhiqing formula, an ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry method was developed. A total of 86 absorbed components, including 38 prototype compounds and 48 metabolites, were identified in rat plasma, urine, and feces after oral administration of Tangzhiqing formula. This was the first systematic study on the chemical constituents and metabolic profiling of Tangzhiqing formula. The results indicated that alkaloids and flavonoids were main absorbed components, and glucuronidation and sulfation were the major metabolites. Moreover we concluded that alkaloids and flavonoids first underwent demethylation and hydrolysis reactions before biotransformed to phase II metabolites. This study provided valuable data for safety estimation of Tangzhiqing formula, which will be advantageous for clinical application.
Keyphrases
- human milk
- ms ms
- tandem mass spectrometry
- ultra high performance liquid chromatography
- phase ii
- clinical trial
- simultaneous determination
- randomized controlled trial
- type diabetes
- low birth weight
- cardiovascular disease
- systematic review
- mass spectrometry
- gene expression
- single cell
- dna methylation
- metabolic syndrome
- preterm infants
- risk assessment
- skeletal muscle
- high performance liquid chromatography
- big data
- insulin resistance
- solid phase extraction
- artificial intelligence
- climate change
- study protocol
- deep learning
- loop mediated isothermal amplification