Article

Identification of hyperoside metabolites in rat using ultra performance liquid chromatography/quadrupole-time-of-flight mass spectrometry.

Jiangsu Key Laboratory for TCM Formulae Research, Nanjing University of Chinese Medicine, Nanjing 210046, PR China.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences (impact factor: 2.78). 07/2011; 879(21):1987-92. DOI:10.1016/j.jchromb.2011.04.031 pp.1987-92
Source: PubMed

ABSTRACT In this paper, ultra performance liquid chromatography (UPLC)/quadrupole-time-of-flight mass spectrometry (QTOF) with automated data analysis software (Metabolynx™) were applied for fast analysis of hyperoside metabolites in rat after intravenous administration. MS(E) was used for simultaneous acquisition of precursor ion information and fragment ion data at high and low collision energy in one analytical run, which facilitated the fast structural characterization of 12 metabolites in rat plasma, urine and bile. The results indicated that methylation, sulfation and glucuronidation were the major metabolic pathways of hyperoside in vivo, and among them, 3'-O-methyl-hyperoside was confirmed by matching its fragmentation patterns with standard compound. The present study provided important information about the metabolism of hyperoside which will be helpful for fully understanding the mechanism of this compound's action. Furthermore, this work demonstrated the potential of the UPLC/QTOFMS approach using Metabolynx for fast and automated identification of metabolites of natural product.

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Keywords

12 metabolites
 
3'-O-methyl-hyperoside
 
compound's action
 
data analysis software
 
fast analysis
 
fast structural characterization
 
fragment ion data
 
fragmentation patterns
 
glucuronidation
 
hyperoside metabolites
 
intravenous administration
 
low collision energy
 
major metabolic pathways
 
metabolism
 
metabolites
 
methylation
 
standard compound
 
ultra performance liquid chromatography
 
UPLC)/quadrupole-time-of-flight mass spectrometry
 
UPLC/QTOFMS approach
 

Jianming Guo