Literature DB >> 15370873

Effects of feeding and body weight loss on the 1H-NMR-based urine metabolic profiles of male Wistar Han rats: implications for biomarker discovery.

Susan C Connor1, Wen Wu, Brian C Sweatman, Jodi Manini, John N Haselden, Daniel J Crowther, Catherine J Waterfield.   

Abstract

For almost two decades, 1H-NMR spectroscopy has been used as an 'open' system to study the temporal changes in the biochemical composition of biofluids, including urine, in response to adverse toxic events. Many of these in vivo studies have reported changes in individual metabolites and patterns of metabolites that correlated with toxicological changes. However, many of the proposed novel biomarkers are common to a number of different types of toxicity. These may therefore reflect non-specific effects of toxicity, such as weight loss, rather than a specific pathology. A study was carried out to investigate the non-specific effects on urinary metabolite profiles by administering four hepatotoxic compounds, as a single dose, to rats at two dose levels: hydrazine hydrate (0.06 or 0.08 g kg (1)), 1,2-dimethylhydrazine (0.1 or 0.3 g kg (-1)), alpha-napthylisothiocyanate (0.1 or 0.15 g kg(-1)) and carbon tetrachloride (1.58 or 3.16 g kg(-1)). The study included weight-matched control animals along with those that were dosed, which were then 'pair-fed' with the treated animals so they achieved a similar weight loss. The urinary metabolite profiles were investigated over time using 1H-NMR spectroscopy and compared with the pathology from the same animals. The temporal changes were analysed statistically using multivariate statistical data analysis including principal component analysis, partial least squares, parallel factor analysis and Fisher's criteria. A number of metabolites associated with energy metabolism or which are partially dietary in origin, such as creatine, creatinine, tricarboxylic acid (TCA) cycle intermediates, phenylacetylglycine, fumarate, glucose, taurine, fatty acids and N-methylnicotinamide, showed altered levels in the urine of treated and pair-fed animals. Many of these changes correlated well with weight loss. Interestingly, there was no increase in ketone bodies (acetate and beta-hydroxybutyrate), which might be expected if energy metabolism was switched from glycolysis to fatty acid beta-oxidation. In some instances, the metabolites that changed were considered to be non-specific markers of toxicity, but were also identified as markers of a specific type of toxicity. For example, taurine was raised significantly in carbon tetrachloride-treated animals but reduced in the pair-fed group. However, raised urinary bile acid levels were only seen after alpha-napthylisothiocyanate treatment. The methodology, statistical analysis used and the data generated will help improve the identification of specific markers or patterns of urinary markers of specific toxic effects. Copyright 2004 Taylor & Francis Ltd

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Year:  2004        PMID: 15370873     DOI: 10.1080/13547500410001720767

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  17 in total

1.  New modes of data partitioning based on PARS peak alignment for improved multivariate biomarker/biopattern detection in 1H-NMR spectroscopic metabolic profiling of urine.

Authors:  R J O Torgrip; J Lindberg; M Linder; B Karlberg; S P Jacobsson; J Kolmert; I Gustafsson; I Schuppe-Koistinen
Journal:  Metabolomics       Date:  2006-04-08       Impact factor: 4.290

2.  Linking toxicant physiological mode of action with induced gene expression changes in Caenorhabditis elegans.

Authors:  Suresh Swain; Jodie F Wren; Stephen R Stürzenbaum; Peter Kille; A John Morgan; Tjalling Jager; Martijs J Jonker; Peter K Hankard; Claus Svendsen; Jenifer Owen; B Ann Hedley; Mark Blaxter; David J Spurgeon
Journal:  BMC Syst Biol       Date:  2010-03-23

3.  Comparative analysis of novel noninvasive renal biomarkers and metabonomic changes in a rat model of gentamicin nephrotoxicity.

Authors:  Max Sieber; Dana Hoffmann; Melanie Adler; Vishal S Vaidya; Matthew Clement; Joseph V Bonventre; Nadine Zidek; Eva Rached; Alexander Amberg; John J Callanan; Wolfgang Dekant; Angela Mally
Journal:  Toxicol Sci       Date:  2009-04-06       Impact factor: 4.849

4.  Black raspberries suppress colonic adenoma development in ApcMin/+ mice: relation to metabolite profiles.

Authors:  Pan Pan; Chad W Skaer; Hsin-Tzu Wang; Steven M Stirdivant; Matthew R Young; Kiyoko Oshima; Gary D Stoner; John F Lechner; Yi-Wen Huang; Li-Shu Wang
Journal:  Carcinogenesis       Date:  2015-08-05       Impact factor: 4.944

5.  Investigation of the protective effects of horse mushroom (Agaricus arvensis Schaeff.) against carbon tetrachloride-induced oxidative stress in rats.

Authors:  Abdulahad Dogan; Abdullah Dalar; Cemil Sadullahoglu; Abdulhamit Battal; Yusuf Uzun; Ismail Celik; Kenan Demirel
Journal:  Mol Biol Rep       Date:  2018-06-21       Impact factor: 2.316

6.  Metabolic Fingerprinting in Toxicological Assessment Using FT-ICR MS.

Authors:  Mina Hasegawa; Mika Ide; Mitsuru Kuwamura; Jyoji Yamate; Shigeo Takenaka
Journal:  J Toxicol Pathol       Date:  2010-06-30       Impact factor: 1.628

7.  H NMR spectroscopy-based metabolomic assessment of uremic toxicity, with toxicological outcomes, in male rats following an acute, mid-life insult from ochratoxin a.

Authors:  Peter G Mantle; Andrew W Nicholls; John P Shockcor
Journal:  Toxins (Basel)       Date:  2011-05-26       Impact factor: 4.546

Review 8.  Metabolomics: is it useful for inflammatory bowel diseases?

Authors:  Martin Storr; Hans J Vogel; Rudolf Schicho
Journal:  Curr Opin Gastroenterol       Date:  2013-07       Impact factor: 3.287

9.  Studies of single-walled carbon nanotubes-induced hepatotoxicity by NMR-based metabonomics of rat blood plasma and liver extracts.

Authors:  Bencheng Lin; Huashan Zhang; Zhiqing Lin; Yanjun Fang; Lei Tian; Honglian Yang; Jun Yan; Huanliang Liu; Wei Zhang; Zhuge Xi
Journal:  Nanoscale Res Lett       Date:  2013-05-16       Impact factor: 4.703

10.  Metabonomics evaluations of age-related changes in the urinary compositions of male Sprague Dawley rats and effects of data normalization methods on statistical and quantitative analysis.

Authors:  Laura K Schnackenberg; Jinchun Sun; Parvaneh Espandiari; Ricky D Holland; Joseph Hanig; Richard D Beger
Journal:  BMC Bioinformatics       Date:  2007-11-01       Impact factor: 3.169

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