A metabonomic analysis of urine from rats treated with rhizoma alismatis using ultra‐performance liquid chromatography/mass spectrometry
Yue Yu, Chao Ma, Kaishun Bi, Guoguang Yang, Pu Xie, Jie Wang, Xiao‐Hui Chen
Abstract
Yue Yu, Chao Ma, Kaishun Bi, Guoguang Yang, Pu Xie, Jie Wang, Xiao‐Hui Chen
Abstract
A metabonomic approach based on ultra-performance liquid chromatography coupled to mass spectrometry (UPLC/MS) was used to study the nephrotoxicity of rhizoma alismatis (RA) in rats. Potential biomarkers of RA toxicity were identified and the toxicological mechanism is discussed. Urine samples were collected from control and treated rats at various stages and analyzed by UPLC/MS in positive ionization mode. Histopathological analysis was used to evaluate renal function. The differences in the metabolic profiles of the control and treated rats were clearly distinguishable with principal components analysis (PCA) of the chromatographic data, and significant changes in 13 metabolite biomarkers were detected in the urine. This metabonomic method combined with PCA could discriminate the treated rats from the control rats on days 60, 120, and 180 after treatment, before serious organic renal damage was apparent on day 180 with histopathology. This research indicates that UPLC/MS-based metabonomic analysis of urine samples can be used to predict the chronic nephrotoxicity induced by rhizoma alismatis.
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A metabonomic approach based on ultra-performance liquid chromatography coupled to mass spectrometry (UPLC/MS) was used to study the nephrotoxicity of rhizoma alismatis (RA) in rats. Potential biomarkers of RA toxicity were identified and the toxicological mechanism is discussed. Urine samples were collected from control and treated rats at various stages and analyzed by UPLC/MS in positive ionization mode. Histopathological analysis was used to evaluate renal function. The differences in the metabolic profiles of the control and treated rats were clearly distinguishable with principal components analysis (PCA) of the chromatographic data, and significant changes in 13 metabolite biomarkers were detected in the urine. This metabonomic method combined with PCA could discriminate the treated rats from the control rats on days 60, 120, and 180 after treatment, before serious organic renal damage was apparent on day 180 with histopathology. This research indicates that UPLC/MS-based metabonomic analysis of urine samples can be used to predict the chronic nephrotoxicity induced by rhizoma alismatis.
Key concepts: Chemistry, Urine, Chromatography, High-performance liquid chromatography, Metabolite, Nephrotoxicity, Mass spectrometry, Metabolomics