Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat

Yan Ni, Mingming Su, Yunping Qiu, Minjun Chen, Yuming Liu, Aihua Zhao, Wei Jia

Research output: Contribution to journalArticle

99 Scopus citations

Abstract

We present here a combined GC-MS and LC-MS metabolic profiling approach to unraveling the pathological outcomes of aristolochic acid (AA)-induced nephrotoxicity. Urine samples were analyzed by GC-MS and LC-MS in combination with pattern recognition techniques, e.g. principal component analysis (PCA), orthogonal projection to latent structure-discriminant analysis. The work indicates that AA-induced acute renal toxicity as evidenced by histopathological examinations could be characterized by systemic disturbance of metabolic network involving free fatty acids generation, energy and amino acids metabolism, and alteration in the structure of gut microbiota. Therefore, this method is potentially applicable to the toxicological study, providing a comprehensive understanding of systems response to xenobiotic intervention.

Original languageEnglish (US)
Pages (from-to)707-711
Number of pages5
JournalFEBS Letters
Volume581
Issue number4
DOIs
StatePublished - Feb 20 2007
Externally publishedYes

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Keywords

  • Aristolochic acid
  • Mass spectrometry
  • Metabolic profiling
  • Nephrotoxicity
  • OPLSDA
  • Pattern recognition

ASJC Scopus subject areas

  • Biophysics
  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Genetics
  • Cell Biology

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