Metabolomic profiling of submaximal exercise at a standardised relative intensity in healthy adults

Ali Muhsen Ali, Mia Burleigh, Evangelia Daskalaki, Tong Zhang, Chris Easton, David G. Watson

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Ten physically active subjects underwent two cycling exercise trials. In the first, aerobic capacity (VO2max) was determined and the second was a 45 min submaximal exercise test. Urine samples were collected separately the day before (day 1) , the day of (day 2), and the day after (day 3) the submaximal exercise test (12 samples per subject). Metabolomic profiling of the samples was carried out using hydrophilic interaction chromatography (HILIC) coupled to an Orbitrap Exactive mass spectrometer. Data were extracted, database searched and then subjected to principle components (PCA) and orthogonal partial least squares (OPLSDA) modelling. The best results were obtained from pre-treating the data by normalising the metabolites to their mean output on days 1 and 2 of the trial. This allowed PCA to separate the day 2 first void samples (D2S1) from the day 2 post-exercise samples (D2S3) PCA also separated the equivalent samples obtained on day 1 (D1S1 and D1S3). OPLSDA modelling separated both the D2S1 and D2S3 samples and D1S1 and D1S3 samples. The metabolites affected by the exercise samples included a range of purine metabolites and several acyl carnitines. Some metabolites were subject to diurnal variation these included bile acids and several amino acids, the variation of these metabolites was similar on day 1 and day 2 despite the exercise intervention on day 2. Using OPLS modelling it proved possible to identify a single abundant urinary metabolite provisionally identified as oxo-aminohexanoic acid (OHA) as being strongly correlated with VO2max when the levels in the D2S3 samples were considered.
LanguageEnglish
JournalMetabolites
DOIs
Publication statusPublished - 26 Feb 2016

Fingerprint

Metabolomics
Metabolites
Passive Cutaneous Anaphylaxis
Exercise
Exercise Test
Aminocaproates
Keto Acids
Carnitine
Least-Squares Analysis
Bile Acids and Salts
Hydrophobic and Hydrophilic Interactions
Chromatography
Urine
Mass spectrometers
Databases
Amino Acids

Keywords

  • exercise metabolomics
  • high resolution mass spectrometry
  • purines
  • acylcarnitines
  • VO2max

Cite this

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abstract = "Ten physically active subjects underwent two cycling exercise trials. In the first, aerobic capacity (VO2max) was determined and the second was a 45 min submaximal exercise test. Urine samples were collected separately the day before (day 1) , the day of (day 2), and the day after (day 3) the submaximal exercise test (12 samples per subject). Metabolomic profiling of the samples was carried out using hydrophilic interaction chromatography (HILIC) coupled to an Orbitrap Exactive mass spectrometer. Data were extracted, database searched and then subjected to principle components (PCA) and orthogonal partial least squares (OPLSDA) modelling. The best results were obtained from pre-treating the data by normalising the metabolites to their mean output on days 1 and 2 of the trial. This allowed PCA to separate the day 2 first void samples (D2S1) from the day 2 post-exercise samples (D2S3) PCA also separated the equivalent samples obtained on day 1 (D1S1 and D1S3). OPLSDA modelling separated both the D2S1 and D2S3 samples and D1S1 and D1S3 samples. The metabolites affected by the exercise samples included a range of purine metabolites and several acyl carnitines. Some metabolites were subject to diurnal variation these included bile acids and several amino acids, the variation of these metabolites was similar on day 1 and day 2 despite the exercise intervention on day 2. Using OPLS modelling it proved possible to identify a single abundant urinary metabolite provisionally identified as oxo-aminohexanoic acid (OHA) as being strongly correlated with VO2max when the levels in the D2S3 samples were considered.",
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Metabolomic profiling of submaximal exercise at a standardised relative intensity in healthy adults. / Ali, Ali Muhsen; Burleigh, Mia; Daskalaki, Evangelia; Zhang, Tong; Easton, Chris ; Watson, David G.

In: Metabolites, 26.02.2016.

Research output: Contribution to journalArticle

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AU - Burleigh, Mia

AU - Daskalaki, Evangelia

AU - Zhang, Tong

AU - Easton, Chris

AU - Watson, David G.

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