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Metabolic profiling using combined GC–MS and LC–MS provides a systems understanding of aristolochic acid‐induced nephrotoxicity in rat
Author(s) -
Ni Yan,
Su Mingming,
Qiu Yunping,
Chen Minjun,
Liu Yuming,
Zhao Aihua,
Jia Wei
Publication year - 2007
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2007.01.036
Subject(s) - aristolochic acid , nephrotoxicity , chemistry , gas chromatography–mass spectrometry , metabolomics , urine , metabolic pathway , xenobiotic , pharmacology , biochemistry , metabolism , chromatography , toxicity , biology , mass spectrometry , enzyme , genetics , organic chemistry
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.