Literature DB >> 16880935

A multi-analytical platform approach to the metabonomic analysis of plasma from normal and Zucker (fa/fa) obese rats.

R Williams1, E M Lenz, A J Wilson, J Granger, I D Wilson, H Major, C Stumpf, R Plumb.   

Abstract

Plasma obtained from 20 week old normal Wistar-derived and Zucker (fa/fa) rats was analysed using a number of different analytical methodologies to obtain global metabolite profiles as part of metabonomic investigations of animal models of diabetes. Samples were analysed without sample pre-treatment using 1H NMR spectroscopy, after acetonitrile solvent protein precipitation by ultra-performance liquid chromatography-MS (UPLC-MS) and after acetonitrile protein precipitation and derivatisation for capillary gas chromatography-MS (GC-MS). Subsequent data analysis using principal components analysis revealed that all three analytical platforms readily detected differences between the plasma metabolite profiles of the two strains of rat. There was only limited overlap between the metabolites detected by the different methodologies and the combination of all three methods of metabolite profiling therefore provided a much more comprehensive profile than would have been provided by their use individually.

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Year:  2006        PMID: 16880935     DOI: 10.1039/b516356k

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  36 in total

Review 1.  A network perspective on metabolism and aging.

Authors:  Quinlyn A Soltow; Dean P Jones; Daniel E L Promislow
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2.  Metabonomics in diabetes research.

Authors:  Johan H Faber; Daniel Malmodin; Henrik Toft; Anthony D Maher; Derek Crockford; Elaine Holmes; Jeremy K Nicholson; Marc E Dumas; Dorrit Baunsgaard
Journal:  J Diabetes Sci Technol       Date:  2007-07

3.  Metabolomics reveals attenuation of the SLC6A20 kidney transporter in nonhuman primate and mouse models of type 2 diabetes mellitus.

Authors:  Andrew D Patterson; Jessica A Bonzo; Fei Li; Kristopher W Krausz; Gabriel S Eichler; Sadaf Aslam; Xenia Tigno; John N Weinstein; Barbara C Hansen; Jeffrey R Idle; Frank J Gonzalez
Journal:  J Biol Chem       Date:  2011-04-12       Impact factor: 5.157

Review 4.  Anti-ageing active ingredients from herbs and nutraceuticals used in traditional Chinese medicine: pharmacological mechanisms and implications for drug discovery.

Authors:  Chun-Yan Shen; Jian-Guo Jiang; Li Yang; Da-Wei Wang; Wei Zhu
Journal:  Br J Pharmacol       Date:  2016-10-29       Impact factor: 8.739

5.  Protein kinase C-delta (PKCδ), a marker of inflammation and tuberculosis disease progression in humans, is important for optimal macrophage killing effector functions and survival in mice.

Authors:  S P Parihar; M Ozturk; M J Marakalala; D T Loots; R Hurdayal; D Beukes Maasdorp; M Van Reenen; D E Zak; F Darboe; A Penn-Nicholson; W A Hanekom; M Leitges; T J Scriba; R Guler; F Brombacher
Journal:  Mucosal Immunol       Date:  2017-08-09       Impact factor: 7.313

Review 6.  Bile acids: analysis in biological fluids and tissues.

Authors:  William J Griffiths; Jan Sjövall
Journal:  J Lipid Res       Date:  2010-01       Impact factor: 5.922

7.  Consolidating metabolite identifiers to enable contextual and multi-platform metabolomics data analysis.

Authors:  Henning Redestig; Miyako Kusano; Atsushi Fukushima; Fumio Matsuda; Kazuki Saito; Masanori Arita
Journal:  BMC Bioinformatics       Date:  2010-04-29       Impact factor: 3.169

8.  Metabonomic fingerprints of fasting plasma and spot urine reveal human pre-diabetic metabolic traits.

Authors:  Xinjie Zhao; Jens Fritsche; Jiangshan Wang; Jing Chen; Kilian Rittig; Philippe Schmitt-Kopplin; Andreas Fritsche; Hans-Ulrich Häring; Erwin D Schleicher; Guowang Xu; Rainer Lehmann
Journal:  Metabolomics       Date:  2010-03-07       Impact factor: 4.290

9.  A metabonomic comparison of urinary changes in Zucker and GK rats.

Authors:  Liang-Cai Zhao; Xiao-Dong Zhang; Shi-Xian Liao; Hong-Chang Gao; He-Yao Wang; Dong-Hai Lin
Journal:  J Biomed Biotechnol       Date:  2010-10-13

Review 10.  Metabolomics-based methods for early disease diagnostics.

Authors:  G A Nagana Gowda; Shucha Zhang; Haiwei Gu; Vincent Asiago; Narasimhamurthy Shanaiah; Daniel Raftery
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

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