Characterizing the plasma metabolome during 14 days of live-high, train-low simulated altitude: A metabolomic approach

Journal article


Lawler, Nathan G., Abbiss, Chris R., Gummer, Joel P. A., Broadhurst, David I., Govus, Andrew D., Fairchild, Timothy J., Thompson, Kevin G., Garvican-Lewis, Laura A., Gore, Christopher J., Maker, Garth L., Trengove, Robert D. and Peiffer, Jeremiah J.. (2019) Characterizing the plasma metabolome during 14 days of live-high, train-low simulated altitude: A metabolomic approach. Experimental Physiology. 104(1), pp. 81 - 92. https://doi.org/10.1113/EP087159
AuthorsLawler, Nathan G., Abbiss, Chris R., Gummer, Joel P. A., Broadhurst, David I., Govus, Andrew D., Fairchild, Timothy J., Thompson, Kevin G., Garvican-Lewis, Laura A., Gore, Christopher J., Maker, Garth L., Trengove, Robert D. and Peiffer, Jeremiah J.
Abstract

The purpose of this study was to determine the influence of 14 days of normobaric hypoxic simulated altitude exposure at 3000 m on the human plasma metabolomic profile. For 14 days, 10 well‐trained endurance runners (six men and four women; 29 ± 7 years of age) lived at 3000 m simulated altitude, accumulating 196.4 ± 25.6 h of hypoxic exposure, and trained at ∼600 m. Resting plasma samples were collected at baseline and on days 3 and 14 of altitude exposure and stored at −80°C. Plasma samples were analysed using liquid chromatography–high‐resolution mass spectrometry to construct a metabolite profile of altitude exposure. Mass spectrometry of plasma identified 36 metabolites, of which eight were statistically significant (false discovery rate probability 0.1) from baseline to either day 3 or day 14. Specifically, changes in plasma metabolites relating to amino acid metabolism (tyrosine and proline), glycolysis (adenosine) and purine metabolism (adenosine) were observed during altitude exposure. Principal component canonical variate analysis showed significant discrimination between group means (P < 0.05), with canonical variate 1 describing a non‐linear recovery trajectory from baseline to day 3 and then back to baseline by day 14. Conversely, canonical variate 2 described a weaker non‐recovery trajectory and increase from baseline to day 3, with a further increase from day 3 to 14. The present study demonstrates that metabolomics can be a useful tool to monitor metabolic changes associated with altitude exposure. Furthermore, it is apparent that altitude exposure alters multiple metabolic pathways, and the time course of these changes is different over 14 days of altitude exposure.

Keywordsaltitude; altitude training; energy; hypoxia; metabolites; metabolomics; profiling; purines
Year2019
JournalExperimental Physiology
Journal citation104 (1), pp. 81 - 92
PublisherWiley-Blackwell Publishing Ltd.
ISSN0958-0670
Digital Object Identifier (DOI)https://doi.org/10.1113/EP087159
Scopus EID2-s2.0-85055939111
Page range81 - 92
Research GroupMary MacKillop Institute for Health Research
Publisher's version
File Access Level
Controlled
Place of publicationUnited Kingdom
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