Literature DB >> 21270351

Metabolomic response to exercise training in lean and diet-induced obese mice.

Gavin E Duggan1, Dustin S Hittel, Christoph W Sensen, Aalim M Weljie, Hans J Vogel, Jane Shearer.   

Abstract

Exercise training is a common therapeutic approach known to antagonize the metabolic consequences of obesity. The aims of the present study were to examine 1) whether short-term, moderate-intensity exercise training alters the basal metabolite profile and 2) if 10 days of mild exercise training can correct obesity-induced shifts in metabolic spectra. After being weaned, male C57BL/6J littermates were randomly divided into two diet groups: low fat (LF) or high fat (HF). After 12 wk of dietary manipulation, HF animals were obese and hyperglycemic compared with LF animals. Mice from each group were further divided into sedentary or exercise treatments. Exercise training consisted of wheel running exercise (2 h/day, 10 days, 5.64 m/min). After exercise training, animals were rested (36 h) and fasted (6 h) before serum collection. Samples were analyzed by high-resolution one-dimensional proton NMR. Fifty high- and medium-concentration metabolites were identified. Pattern recognition algorithms and multivariate modeling were used to identify and isolate significant metabolites changing in response to HF and exercise training. The results showed that while exercise can mitigate some of the abnormal patterns in metabolic spectra induced by HF diet feeding, they cannot negate it. In fact, when the effects of diet and exercise were compared, diet was a stronger predictor and had the larger influence on the metabolic profile. External validation of models showed that diet could be correctly classified with an accuracy of 89%, whereas exercise training could be classified 73% of the time. The results demonstrate metabolomics to effectively characterize obesity-induced perturbations in metabolism and support the concept that exercise is beneficial for this condition.

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Year:  2011        PMID: 21270351     DOI: 10.1152/japplphysiol.00701.2010

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  18 in total

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Journal:  Metabolites       Date:  2022-06-14

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Journal:  Diabetes       Date:  2012-12-13       Impact factor: 9.461

4.  Gram-negative and Gram-positive bacterial infections give rise to a different metabolic response in a mouse model.

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Review 5.  Investigating potential mechanisms of obesity by metabolomics.

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

6.  Low-dose aspartame consumption differentially affects gut microbiota-host metabolic interactions in the diet-induced obese rat.

Authors:  Marie S A Palmnäs; Theresa E Cowan; Marc R Bomhof; Juliet Su; Raylene A Reimer; Hans J Vogel; Dustin S Hittel; Jane Shearer
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

7.  Treatment of lean and diet-induced obesity (DIO) mice with a novel stable obestatin analogue alters plasma metabolite levels as detected by untargeted LC-MS metabolomics.

Authors:  Brian D Green; Stewart F Graham; Elaine Cowan; Praveen Kumar; Kerry J Burch; David J Grieve
Journal:  Metabolomics       Date:  2016-07-05       Impact factor: 4.290

8.  CYP24A1 exacerbated activity during diabetes contributes to kidney tubular apoptosis via caspase-3 increased expression and activation.

Authors:  Alexandre Tourigny; Frédrick Charbonneau; Paul Xing; Rania Boukrab; Guy Rousseau; René St-Arnaud; Marie-Luise Brezniceanu
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

9.  PGC-1α improves glucose homeostasis in skeletal muscle in an activity-dependent manner.

Authors:  Serge Summermatter; Guanghou Shui; Daniela Maag; Gesa Santos; Markus R Wenk; Christoph Handschin
Journal:  Diabetes       Date:  2012-10-18       Impact factor: 9.461

10.  Gender-specific metabolomic profiling of obesity in leptin-deficient ob/ob mice by 1H NMR spectroscopy.

Authors:  Eun-Young Won; Mi-Kyung Yoon; Sang-Woo Kim; Youngae Jung; Hyun-Whee Bae; Daeyoup Lee; Sung Goo Park; Chul-Ho Lee; Geum-Sook Hwang; Seung-Wook Chi
Journal:  PLoS One       Date:  2013-10-03       Impact factor: 3.240

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