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

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Wei Jia, Professor and Co-Director of the UNCG Center for Research Excellence in Bioactive Food Components (Creator)
The University of North Carolina at Greensboro (UNCG )
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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.

Additional Information

FEBS Letters. 581(4): 707-711
Language: English
Date: 2007
Aristolochic acid, Metabolic profiling, Mass spectrometry, Nephrotoxicity, Pattern recognition, OPLSDA

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