4.7 Article

Metabolite profiling and pathway analysis of acute hepatitis rats by UPLC-ESI MS combined with pattern recognition methods

期刊

LIVER INTERNATIONAL
卷 34, 期 5, 页码 759-770

出版社

WILEY-BLACKWELL
DOI: 10.1111/liv.12301

关键词

pattern recognition methods; D-galactosamine; hepatitis; metabolite; UPLC-ESI MS; metabolomics

资金

  1. Key Program of Natural Science Foundation of State [90709019, 81173500, 81202639]
  2. National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2011BAI03B03, 2011BAI03B06, 2011BAI03B08]
  3. National Specific Program on the Subject of Public Welfare [200807014]
  4. National Key Subject of Drug Innovation [2009ZX09502-005]
  5. Foundation of Heilongjiang University of Chinese Medicine [201209]
  6. Chinese Ministry of Education [212044]

向作者/读者索取更多资源

Background & Aims Metabolomics is comprehensive analysis of low-molecular-weight endogenous metabolites in a biological sample. It could enable mapping of perturbations of early biochemical changes in diseases and hence provide an opportunity to develop predictive biomarkers that could provide valuable insights into the mechanisms of diseases. The aim of this study was to elucidate the changes in endogenous metabolites and to phenotype the metabolic profiling of d-galactosamine (GalN)-inducing acute hepatitis in rats by UPLC-ESI MS. Methods The systemic biochemical actions of GalN administration (ip, 400mg/kg) have been investigated in male wistar rats using conventional clinical chemistry, liver histopathology and metabolomic analysis of UPLC- ESI MS of urine. The urine was collected predose (-24 to 0h) and 0-24, 24-48, 48-72, 72-96h post-dose. Mass spectrometry of the urine was analysed visually and via conjunction with multivariate data analysis. Results Results demonstrated that there was a time-dependent biochemical effect of GalN dosed on the levels of a range of low-molecular-weight metabolites in urine, which was correlated with developing phase of the GalN-inducing acute hepatitis. Urinary excretion of beta-hydroxybutanoic acid and citric acid was decreased following GalN dosing, whereas that of glycocholic acid, indole-3-acetic acid, sphinganine, n-acetyl-l-phenylalanine, cholic acid and creatinine excretion was increased, which suggests that several key metabolic pathways such as energy metabolism, lipid metabolism and amino acid metabolism were perturbed by GalN. Conclusion This metabolomic investigation demonstrates that this robust non-invasive tool offers insight into the metabolic states of diseases.

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