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NMR metabolomics for assessment of exercise effects with mouse biofluids

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Abstract

Exercise modulates the metabolome in urine or blood as demonstrated previously for humans and animal models. Using nuclear magnetic resonance (NMR) metabolomics, the present study compares the metabolic consequences of an exhaustive exercise at peak velocity (Vp) and at critical velocity (Vc) on mice. Since small-volume samples (blood and urine) were collected, dilution was necessary to acquire NMR spectra. Consequently, specific processing methods were applied before statistical analysis. According to the type of exercise (control group, Vp group and Vc group), 26 male mice were divided into three groups. Mice were sacrificed 2 h after the end of exercise, and urine and blood samples were drawn from each mouse. Proton NMR spectra were acquired with urine and deproteinized blood. The NMR data were aligned with the icoshift method and normalised using the probabilistic quotient method. Finally, data were analysed with the orthogonal projection of latent-structure analysis. The spectra obtained with deproteinized blood can neither discriminate the control mice from exercised mice nor discriminate according to the duration of the exercise. With urine samples, a significant statistical model can be estimated when comparing the control mice to both groups, Vc and Vp. The best model is obtained according to the exercise duration with all mice. Taking into account the spectral regions having the highest correlations, the discriminant metabolites are allantoin, inosine and branched-chain amino acids. In conclusion, metabolomic profiles assessed with NMR are highly dependent on the exercise. These results show that urine samples are more informative than blood samples and that the duration of the exercise is a more important parameter to influence the metabolomic status than the exercise velocity.

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Authors and Affiliations

  1. UBIAE INSERM U902, Université Evry Val d’Essonne, Bat Maupertuis, rue du Père Jarlan, 91025, Evry Cedex, France

    Laurence Le Moyec, Laurence Mille-Hamard, Carole Breuneval, Hélène Petot & Véronique L. Billat

  2. CSPBAT UMR 7244, Université Paris 13, 74, rue Marcel Cachin, 93000, Bobigny, France

    Mohamed N. Triba

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  1. Laurence Le Moyec
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  2. Laurence Mille-Hamard
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  4. Carole Breuneval
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  6. Véronique L. Billat
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Correspondence to Laurence Le Moyec.

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Le Moyec, L., Mille-Hamard, L., Triba, M.N. et al. NMR metabolomics for assessment of exercise effects with mouse biofluids. Anal Bioanal Chem 404, 593–602 (2012). https://doi.org/10.1007/s00216-012-6165-6

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  • DOI: https://doi.org/10.1007/s00216-012-6165-6

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