Literature DB >> 15808519

Comparative metabonomics of differential hydrazine toxicity in the rat and mouse.

Mary E Bollard1, Hector C Keun, Olaf Beckonert, Tim M D Ebbels, Henrik Antti, Andrew W Nicholls, John P Shockcor, Glenn H Cantor, Greg Stevens, John C Lindon, Elaine Holmes, Jeremy K Nicholson.   

Abstract

Interspecies variation between rats and mice has been studied for hydrazine toxicity using a novel metabonomics approach. Hydrazine hydrochloride was administered to male Sprague-Dawley rats (30 mg/kg, n = 10 and 90 mg/kg, n = 10) and male B6C3F mice (100 mg/kg, n = 8 and 250 mg/kg, n = 8) by oral gavage. In each species, the high dose was selected to produce the major histopathologic effect, hepatocellular lipid accumulation. Urine samples were collected at sequential time points up to 168 h post dose and analyzed by 1H NMR spectroscopy. The metabolites of hydrazine, namely diacetyl hydrazine and 1,4,5,6-tetrahydro-6-oxo-3-pyridazine carboxylic acid (THOPC), were detected in both the rat and mouse urine samples. Monoacetyl hydrazine was detected only in urine samples from the rat and its absence in the urine of the mouse was attributed to a higher activity of N-acetyl transferases in the mouse compared with the rat. Differential metabolic effects observed between the two species included elevated urinary beta-alanine, 3-D-hydroxybutyrate, citrulline, N-acetylcitrulline, and reduced trimethylamine-N-oxide excretion unique to the rat. Metabolic principal component (PC) trajectories highlighted the greater degree of toxic response in the rat. A data scaling method, scaled to maximum aligned and reduced trajectories (SMART) analysis, was used to remove the differences between the metabolic starting positions of the rat and mouse and varying magnitudes of effect, to facilitate comparison of the response geometries between the rat and mouse. Mice followed "biphasic" open PC trajectories, with incomplete recovery 7 days after dosing, whereas rats followed closed "hairpin" time profiles, indicating functional reversibility. The greater magnitude of metabolic effects observed in the rat was supported by the more pronounced effect on liver pathology in the rat when compared with the mouse.

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Year:  2005        PMID: 15808519     DOI: 10.1016/j.taap.2004.06.031

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  22 in total

1.  Global metabolic profiling procedures for urine using UPLC-MS.

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

Review 2.  Metabonomics techniques and applications to pharmaceutical research & development.

Authors:  John C Lindon; Elaine Holmes; Jeremy K Nicholson
Journal:  Pharm Res       Date:  2006-05-25       Impact factor: 4.200

Review 3.  Biomarkers for neuroAIDS: the widening scope of metabolomics.

Authors:  Gurudutt Pendyala; Elizabeth J Want; William Webb; Gary Siuzdak; Howard S Fox
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Review 4.  Application of metabonomic analytical techniques in the modernization and toxicology research of traditional Chinese medicine.

Authors:  Yong-Min Lao; Jian-Guo Jiang; Lu Yan
Journal:  Br J Pharmacol       Date:  2009-06-05       Impact factor: 8.739

5.  A statistical framework for biomarker discovery in metabolomic time course data.

Authors:  Maurice Berk; Timothy Ebbels; Giovanni Montana
Journal:  Bioinformatics       Date:  2011-07-15       Impact factor: 6.937

6.  Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry.

Authors:  Fujian Zheng; Xinjie Zhao; Zhongda Zeng; Lichao Wang; Wangjie Lv; Qingqing Wang; Guowang Xu
Journal:  Nat Protoc       Date:  2020-06-24       Impact factor: 13.491

7.  A metabonomic approach to analyze the dexamethasone-induced cleft palate in mice.

Authors:  Jinglin Zhou; Bin Xu; Bing Shi; Jing Huang; Wei He; Shengjun Lu; Junjun Lu; Liying Xiao; Wei Li
Journal:  J Biomed Biotechnol       Date:  2010-08-10

Review 8.  The metabolomic window into hepatobiliary disease.

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

Review 9.  Biomarkers, metabonomics, and drug development: can inborn errors of metabolism help in understanding drug toxicity?

Authors:  Subrahmanyam Vangala; Alfred Tonelli
Journal:  AAPS J       Date:  2007-07-20       Impact factor: 4.009

10.  High-resolution magic angle spinning nuclear magnetic resonance analysis of metabolic changes in melanoma cells after induction of melanogenesis.

Authors:  Wei Li; Radomir Slominski; Andrzej T Slominski
Journal:  Anal Biochem       Date:  2008-12-24       Impact factor: 3.365

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