Literature DB >> 24722466

An integrated metabonomic approach to studying metabolic profiles in rat models with insulin resistance induced by high fructose.

Yongxia Yang1, Linlin Wang, Shumei Wang, Rongbo Huang, Lingyun Zheng, Shengwang Liang, Lei Zhang, Jingfen Xu.   

Abstract

Insulin resistance (IR) is a common risk factor for the development of metabolic diseases, and has gradually become a hot issue for research. It was reported that excessive feeding with high fructose induced insulin resistance in both humans and rats. The aim of this study was to investigate the progression of IR and identify potential biomarkers in urine, plasma and fecal extracts of high fructose-fed rats using a (1)H NMR-based metabonomics approach. The biochemical analysis was also performed. The levels of pyruvate and lactate in the plasma of the IR model rats were reduced significantly, and the levels of citrate and α-ketoglutaric acid (α-KG) in their urine, and the levels of succinate in their feces also decreased, suggesting perturbation of energy metabolism. Decreased levels of taurine in urine and fecal extracts during the whole experiment, together with increased levels of creatine/creatinine in urine, revealed liver and kidney injuries. Decreased levels of choline-containing metabolites in urine and increased levels of betaine in urine and plasma demonstrated altered transmethylation. Changes in hippurate, acetate, propionate and n-butyrate levels suggested disturbance of the intestinal flora in the IR rats. This study indicated that (1)H NMR-based metabonomics can provide biochemical information on the progression of IR and offers a non-invasive means for the discovery of potential biomarkers.

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Year:  2014        PMID: 24722466     DOI: 10.1039/c3mb70618d

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


  3 in total

Review 1.  Expression and Metabolomic Profiling in Axial Spondyloarthritis.

Authors:  Darren D O'Rielly; Guangju Zhai; Proton Rahman
Journal:  Curr Rheumatol Rep       Date:  2018-06-27       Impact factor: 4.592

2.  Plasma, urine and ligament tissue metabolite profiling reveals potential biomarkers of ankylosing spondylitis using NMR-based metabolic profiles.

Authors:  Wei Wang; Gen-Jin Yang; Ju Zhang; Chen Chen; Zhen-Yu Jia; Jia Li; Wei-Dong Xu
Journal:  Arthritis Res Ther       Date:  2016-10-22       Impact factor: 5.156

3.  Changes in human hepatic metabolism in steatosis and cirrhosis.

Authors:  Zoe Schofield; Michelle Ac Reed; Philip N Newsome; David H Adams; Ulrich L Günther; Patricia F Lalor
Journal:  World J Gastroenterol       Date:  2017-04-21       Impact factor: 5.742

  3 in total

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