ArticleMetabolites2016
Metabolomic Profiling of Submaximal Exercise at a Standardised Relative Intensity in Healthy Adults.
Article in Metabolites, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022Pooled it
- Plasma Metabolite Profiles in Response to Chronic Exercise.Medicine and science in sports and exercise · 2018Trial
- Plasma fatty acyl-carnitines during 8 weeks of overfeeding: relation to diet energy expenditure and body composition: the PROOF study.Metabolism: clinical and experimental · 2018Trial
- Review
- Urinary Metabolites Variation After High-Intensity Rowing Training and Potential Biomarker Screening for Exercise-Induced Muscle Damage.International journal of molecular sciences · 2025Article
- Article
- Sample Preparation for Metabolomic Analysis in Exercise Physiology.Biomolecules · 2024Review
- Dysregulation of acyl carnitines, pentose phosphate pathway and arginine and ornithine metabolism are associated with decline in intrinsic capacity in Chinese older adults.Aging clinical and experimental research · 2024Article
- Free fatty acids and peripheral blood mononuclear cells (PBMC) are correlated with chronic inflammation in obesity.Lipids in health and disease · 2023Article
- Single and Joined Behaviour of Circulating Biomarkers and Metabolic Parameters in High-Fit and Low-Fit Healthy Females.International journal of molecular sciences · 2023Article
- LC/MS-based discrimination between plasma and urine metabolomic changes following exposure to ultraviolet radiation by using data modelling.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Acute effects of moderate vs. vigorous endurance exercise on urinary metabolites in healthy, young, physically active men-A multi-platform metabolomics approach.Frontiers in physiology · 2023Article
- Urinary Proteomics of Simulated Firefighting Tasks and Its Relation to Fitness Parameters.International journal of environmental research and public health · 2021Article
- Exercise leads to metabolic changes associated with improved strength and fatigue in people with MS.Annals of clinical and translational neurology · 2021Article
- Metabolic Architecture of Acute Exercise Response in Middle-Aged Adults in the Community.Circulation · 2020Article
- Metabolomics profiling of plasma, urine and saliva after short term training in young professional football players in Saudi Arabia.Scientific reports · 2020Article
- MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC-MS metabolomics data.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- Article
- Ultramarathon Plasma Metabolomics: Phosphatidylcholine Levels Associated with Running Performance.Sports (Basel, Switzerland) · 2020Article
- Metabolite Concentration Changes in Humans After a Bout of Exercise: a Systematic Review of Exercise Metabolomics Studies.Sports medicine - open · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
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