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

96 Citations (Scopus)

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

Fingerprint

Rats
Discriminant Analysis
Discriminant analysis
Xenobiotics
Metabolic Networks and Pathways
Principal Component Analysis
Nonesterified Fatty Acids
Metabolism
Principal component analysis
Toxicology
Pattern recognition
Toxicity
Urine
Kidney
Amino Acids
aristolochic acid I
Gastrointestinal Microbiome

Keywords

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

ASJC Scopus subject areas

  • Biochemistry
  • Biophysics
  • Molecular Biology

Cite this

Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat. / Ni, Yan; Su, Mingming; Qiu, Yunping; Chen, Minjun; Liu, Yuming; Zhao, Aihua; Jia, Wei.

In: FEBS Letters, Vol. 581, No. 4, 20.02.2007, p. 707-711.

Research output: Contribution to journalArticle

Ni, Yan ; Su, Mingming ; Qiu, Yunping ; Chen, Minjun ; Liu, Yuming ; Zhao, Aihua ; Jia, Wei. / Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat. In: FEBS Letters. 2007 ; Vol. 581, No. 4. pp. 707-711.
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