Abstract
Introduction
Exercise-associated metabolism in type 1 diabetes (T1D) remains under-studied due to the complex interplay between exogenous insulin, counter-regulatory hormones and insulin-sensitivity.
Objective
To identify the metabolic differences induced by two exercise modalities in T1D using ultra high-performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC–HRMS) based metabolomics.
Methods
Twelve T1D adults performed intermittent high-intensity (IHE) and continuous-moderate-intensity (CONT) exercise. Serum samples were analysed by UHPLC–HRMS.
Results
Metabolic profiling of IHE and CONT highlighted exercise-induced changes in purine and acylcarnitine metabolism.
Conclusion
IHE may increase beta-oxidation through higher ATP-turnover. UHPLC–HRMS based metabolomics as a data-driven approach without an a priori hypothesis may help uncover distinctive metabolic effects during exercise in T1D.
Clinical trial registration number is www.clinicaltrials.gov: NCT02068638.
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Acknowledgements
The authors thank the participants for their time, effort, and commitment. LC-MS analysis were performed at the Clinical Metabolomics Facility, Center of Laboratory Medicine from the Bern University Hospital (Inselspital). CS is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Author contributions
The following authors contributed to conception and design of the study: LB, CB and CS; acquisition of data: LB, TZ, CB and JP; data analysis: LB, CB, JP, JN, AL and CN. All authors were involved in drafting the article (LB, CB, JP, CN, JN, AL, CS), or revising it critically for important intellectual content (LB, CB, JP, CN, TZ, JN, AL, GMF, CS). All authors approved the final version of the article.
Funding
Financial support was provided by the Swiss National Science Foundation (320030_149321).
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All the authors of this article report no potential relevant conflicts of interest.
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The study was approved by the local Ethics Committee (KEK 001/14). Study-related activities were undertaken following signed informed consent according to Good Clinical Practice guidelines.
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Lia Bally and Cédric Bovet have contributed equally as first authors to this work.
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Bally, L., Bovet, C., Nakas, C.T. et al. A metabolomics approach to uncover effects of different exercise modalities in type 1 diabetes. Metabolomics 13, 78 (2017). https://doi.org/10.1007/s11306-017-1217-8
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DOI: https://doi.org/10.1007/s11306-017-1217-8