Literature DB >> 19605889

Metabolomics study with gas chromatography-mass spectrometry for predicting valproic acid-induced hepatotoxicity and discovery of novel biomarkers in rat urine.

Min Sun Lee1, Byung Hwa Jung, Bong Chul Chung, Sung Hee Cho, Ki Young Kim, Oh Seoung Kwon, Boya Nugraha, Young-Joo Lee.   

Abstract

Three different doses of valproic acid (20, 100, and 500 mg/kg/d) are administered orally to Sprague-Dawley rats for 5 days, and the feasibility of metabolomics with gas chromatography-mass spectrometry as a predictor of the hepatotoxicity of valproic acid is evaluated. Body weight is found to decrease with the 100-mg/kg/d dose and significantly decrease with the 500-mg/kg/d dose. Mean excreted urine volume is lowest in the 500-mg/kg/d group among all groups. The plasma level of alpha-glutathione-S-transferase, a sensitive and earlier biomarker for hepatotoxicity, increases significantly with administration of 100 and 500 mg/kg/d; however, there is not a significant difference in alpha-glutathione-S-transferase plasma levels between the control and 20-mg/kg/d groups. Clusters in partial least squares discriminant analysis score plots show similar patterns, with changes in physiological conditions and plasma levels of alpha-glutathione-S-transferase; the cluster for the control and 20-mg/kg/d groups does not clearly separate, but the clusters are separate for 100- and 500-mg/kg/d groups. A biomarker of hepatotoxicity, 8-hydroxy-2'-deoxyguanosine and octanoylcarnitine, is identified from nontargeted and targeted metabolic profiling. These results validate that metabolic profiling using gas chromatography-mass spectrometry could be a useful tool for finding novel biomarkers. Thus, a nontargeted metabolic profiling method is established to evaluate the hepatotoxicity of valproic acid and demonstrates proof-of-concept that metabolomic approach with gas chromatography-mass spectrometry has great potential for predicting valproic acid-induced hepatotoxicity and discovering novel biomarkers.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19605889     DOI: 10.1177/1091581809340329

Source DB:  PubMed          Journal:  Int J Toxicol        ISSN: 1091-5818            Impact factor:   2.032


  9 in total

1.  Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Authors:  Warwick B Dunn; David Broadhurst; Paul Begley; Eva Zelena; Sue Francis-McIntyre; Nadine Anderson; Marie Brown; Joshau D Knowles; Antony Halsall; John N Haselden; Andrew W Nicholls; Ian D Wilson; Douglas B Kell; Royston Goodacre
Journal:  Nat Protoc       Date:  2011-06-30       Impact factor: 13.491

2.  Gas Chromatography-Mass Spectrometry (GC-MS) Analysis of Candida auris Metabolites.

Authors:  Bahgat Fayed; Ghalia Kohder; Sameh S M Soliman
Journal:  Methods Mol Biol       Date:  2022

3.  Comprehensive Analysis of Metabolic Changes in Male Mice Exposed to Sodium Valproate Based on GC-MS Analysis.

Authors:  Yahao Gao; Di Jiang; Changshui Wang; Gang An; Li Zhu; Changmeng Cui
Journal:  Drug Des Devel Ther       Date:  2022-06-17       Impact factor: 4.319

Review 4.  The metabolomic window into hepatobiliary disease.

Authors:  Diren Beyoğlu; Jeffrey R Idle
Journal:  J Hepatol       Date:  2013-05-25       Impact factor: 25.083

5.  Diet-induced hyperinsulinemia differentially affects glucose and protein metabolism: a high-throughput metabolomic approach in rats.

Authors:  U Etxeberria; A L de la Garza; J A Martínez; F I Milagro
Journal:  J Physiol Biochem       Date:  2013-01-19       Impact factor: 4.158

Review 6.  Investigating potential mechanisms of obesity by metabolomics.

Authors:  Baogang Xie; Michael J Waters; Horst Joachim Schirra
Journal:  J Biomed Biotechnol       Date:  2012-05-16

7.  Effects of valproic acid on organic acid metabolism in children: a metabolic profiling study.

Authors:  K E Price; R E Pearce; U C Garg; B A Heese; L D Smith; J E Sullivan; M J Kennedy; J F Bale; R M Ward; T K H Chang; F S Abbott; J S Leeder
Journal:  Clin Pharmacol Ther       Date:  2011-05-04       Impact factor: 6.875

8.  Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy.

Authors:  Mohammad H Semreen; Hasan Y Alniss; Stefan R Grgic; Raafat A El-Awady; Ahmed H Almehdi; Muath K Mousa; Rifat A Hamoudi
Journal:  Sci Rep       Date:  2019-09-11       Impact factor: 4.379

9.  Metabolic network-based predictions of toxicant-induced metabolite changes in the laboratory rat.

Authors:  Venkat R Pannala; Martha L Wall; Shanea K Estes; Irina Trenary; Tracy P O'Brien; Richard L Printz; Kalyan C Vinnakota; Jaques Reifman; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Sci Rep       Date:  2018-08-03       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.