Literature DB >> 20113715

Discovery of safety biomarkers for atorvastatin in rat urine using mass spectrometry based metabolomics combined with global and targeted approach.

Bhowmik Salil Kumar1, Young-Joo Lee, Hong Jae Yi, Bong Chul Chung, Byung Hwa Jung.   

Abstract

In order to develop a safety biomarker for atorvastatin, this drug was orally administrated to hyperlipidemic rats, and a metabolomic study was performed. Atorvastatin was given in doses of either 70 mg kg(-1) day(-1) or 250 mg kg(-1) day(-1) for a period of 7 days (n=4 for each group). To evaluate any abnormal effects of the drug, physiological and plasma biochemical parameters were measured and histopathological tests were carried out. Safety biomarkers were derived by comparing these parameters and using both global and targeted metabolic profiling. Global metabolic profiling was performed using liquid chromatography/time of flight/mass spectrometry (LC/TOF/MS) with multivariate data analysis. Several safety biomarker candidates that included various steroids and amino acids were discovered as a result of global metabolic profiling, and they were also confirmed by targeted metabolic profiling using gas chromatography/mass spectrometry (GC/MS) and capillary electrophoresis/mass spectrometry (CE/MS). Serum biochemical and histopathological tests were used to detect abnormal drug reactions in the liver after repeating oral administration of atorvastatin. The metabolic differences between control and the drug-treated groups were compared using PLS-DA score plots. These results were compared with the physiological and plasma biochemical parameters and the results of a histopathological test. Estrone, cortisone, proline, cystine, 3-ureidopropionic acid and histidine were proposed as potential safety biomarkers related with the liver toxicity of atorvastatin. These results indicate that the combined application of global and targeted metabolic profiling could be a useful tool for the discovery of drug safety biomarkers. Copyright 2009 Elsevier B.V. All rights reserved.

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Year:  2009        PMID: 20113715     DOI: 10.1016/j.aca.2009.11.063

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  5 in total

1.  Metabolomic analysis of simvastatin and fenofibrate intervention in high-lipid diet-induced hyperlipidemia rats.

Authors:  Qiu-yu Xu; Yin-hui Liu; Qi Zhang; Bo Ma; Zhen-dong Yang; Lei Liu; Di Yao; Guang-bo Cui; Jing-jing Sun; Zi-mei Wu
Journal:  Acta Pharmacol Sin       Date:  2014-09-15       Impact factor: 6.150

2.  An effective assessment of simvastatin-induced toxicity with NMR-based metabonomics approach.

Authors:  Hye-Ji Yang; Myung-Joo Choi; He Wen; Hyuk Nam Kwon; Kyung Hee Jung; Sang-Won Hong; Joon Mee Kim; Soon-Sun Hong; Sunghyouk Park
Journal:  PLoS One       Date:  2011-02-22       Impact factor: 3.240

Review 3.  Standardizing the experimental conditions for using urine in NMR-based metabolomic studies with a particular focus on diagnostic studies: a review.

Authors:  Abdul-Hamid Emwas; Claudio Luchinat; Paola Turano; Leonardo Tenori; Raja Roy; Reza M Salek; Danielle Ryan; Jasmeen S Merzaban; Rima Kaddurah-Daouk; Ana Carolina Zeri; G A Nagana Gowda; Daniel Raftery; Yulan Wang; Lorraine Brennan; David S Wishart
Journal:  Metabolomics       Date:  2014-11-21       Impact factor: 4.290

Review 4.  Metabolomics and systems pharmacology: why and how to model the human metabolic network for drug discovery.

Authors:  Douglas B Kell; Royston Goodacre
Journal:  Drug Discov Today       Date:  2013-07-26       Impact factor: 7.851

Review 5.  Current Understanding of Methamphetamine-Associated Metabolic Changes Revealed by the Metabolomics Approach.

Authors:  Minjeong Kim; Won-Jun Jang; Rupa Shakya; Boyeon Choi; Chul-Ho Jeong; Sooyeun Lee
Journal:  Metabolites       Date:  2019-09-20
  5 in total

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