ArticleMetabolites2019
High-Intensity Interval Training Decreases Resting Urinary Hypoxanthine Concentration in Young Active Men-A Metabolomic Approach.
Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses 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.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Metabolomic signatures of high-intensity and sprint interval exercise/training in humans: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022Pooled it
- Dietary Lipid Quantity and Quality Modulate the Postprandial Metabolomic Profile in Patients with Metabolic Syndrome.Nutrients · 2024Trial
- Acute aerobic exercise reveals that FAHFAs distinguish the metabolomes of overweight and normal-weight runners.JCI insight · 2022Trial
- Trimethylamine-Nutrients · 2020Trial
- Influence of upper-body high-intensity intermittent training on energy metabolism and maximal oxygen uptake in elite swimmers.Frontiers in physiology · 2025Article
- Exercise Metabolome: Insights for Health and Performance.Metabolites · 2023Review
- Serum Metabolome Adaptations Following 12 Weeks of High-Intensity Interval Training or Moderate-Intensity Continuous Training in Obese Older Adults.Metabolites · 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
- Exercise and Interorgan Communication: Short-Term Exercise Training Blunts Differences in Consecutive Daily UrineMetabolites · 2022Article
- A targeted metabolic analysis of football players and its association to player load: Comparison between women and men profiles.Frontiers in physiology · 2022Article
- Utility of cardiac biomarkers in sports medicine: Focusing on troponin, natriuretic peptides, and hypoxanthine.Sports medicine and health science · 2020Review
- Creatinine is a biochemical marker for assessing how untrained people adapt to fitness training loads.PeerJ · 2020Article
- The Effect of Training on Erythrocyte Energy Status and Plasma Purine Metabolites in Athletes.Metabolites · 2019Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-intensity interval training (HIIT) is known to improve performance and skeletal muscle energy metabolism. However, whether the body's adaptation to an exhausting short-term HIIT is reflected in the resting human metabolome has not been examined so far. Therefore, a randomized controlled intervention study was performed to investigate the effect of a ten-day HIIT on the resting urinary metabolome of young active men. Fasting spot urine was collected before (-1 day) and after (+1 day; +4 days) the training intervention and 65 urinary metabolites were identified by liquid chromatography-mass spectrometry (LC-MS) and nuclear magnetic resonance (NMR) spectroscopy. Metabolite concentrations were normalized to urinary creatinine and subjected to univariate statistical analysis. One day after HIIT, no overall change in resting urinary metabolome, except a significant difference with decreasing means in urinary hypoxanthine concentration, was documented in the experimental group. As hypoxanthine is related to purine degradation, lower resting urinary hypoxanthine levels may indicate a training-induced adaptation in purine nucleotide metabolism.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.