Related Experiment Video
Updated: Jan 22, 2026

A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement
Published on: February 22, 2022
High-Intensity Interval Training Decreases Resting Urinary Hypoxanthine Concentration in Young Active Men-A
Sina Kistner1, Manuela J Rist2, Ralf Krüger2
1Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany. sina.kistner@kit.edu.
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.
More Related Videos
09:19Short Session High Intensity Interval Training and Treadmill Assessment in Aged Mice
Published on: February 2, 2019
07:40Impact of High-intensity Interval Exercise and Moderate-Intensity Continuous Exercise on the Cardiac Troponin T Level at an Early Stage of Training
Published on: October 10, 2019
Related Concept Videos
IR Spectrum Peak Intensity: Amount of IR-Active Bonds
Decreasing Function
The Resting Membrane Potential
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Resting Membrane Potential
The Inside of a Neuron is More Negative
The membrane potential of a cell can be measured by inserting a microelectrode into a cell and comparing the charge to a reference electrode in the extracellular fluid. The...
Decreased Body Temperature