Through training, the investigators can adjust the composition and functions of gut microbiota. Exercise also alters the body's energy metabolism pathways, which, in turn, impacts the gut microbiota and its metabolic products. Understanding how the body utilizes and regulates energy during exercise is essential for enhancing athletic performance. This study aims to explore the relationships among post-exercise energy metabolites, gut microbiota, and their metabolic products, applying omics technologies in the field of sports science. This interdisciplinary research will contribute to fields such as exercise physiology, sports nutrition, exercise biochemistry, and sports medicine, providing innovative and practical research insights for advancing sports science in our country.
The gut microbiota, which is comprised of trillions of microbes, is the collective term for the gut microbiota. It establishes a symbiotic relationship with the host and plays a vital role in maintaining host health. Through training, the investigators can adjust the composition and functions of gut microbiota. Exercise also alters the body's energy metabolism pathways, which, in turn, impacts the gut microbiota and its metabolic products. Understanding how the body utilizes and regulates energy during exercise is essential for enhancing athletic performance. This study aims to explore the relationships among post-exercise energy metabolites, gut microbiota, and their metabolic products, applying omics technologies in the field of sports science. This interdisciplinary research will contribute to fields such as exercise physiology, sports nutrition, exercise biochemistry, and sports medicine, providing innovative and practical research insights for advancing sports science in our country.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
90
Running 10 kilometers on a treadmill
Concentration of lactate
Measure changes in lactate concentration.
Time frame: The testing time points are set as follows: before exercise, at the 5-kilometer mark during exercise, immediately after exercise, and at 5, 15, 30, and 60 minutes post-exercise.
Concentration of creatine kinase
Measure changes in creatine kinase concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
Concentration of glucose
Measure changes in glucose concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
Concentration of creatinine
Measure changes in creatinine concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
Concentration of blood urea nitrogen
Measure changes in blood urea nitrogen concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
Concentration of lactate dehydrogenase
Measure changes in lactate dehydrogenase concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
Concentration of free fatty acid
Measure changes in free fatty acid concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
Concentration of cortisol
Measure changes in cortisol concentration.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise.
ood frequency questionnaire(FFQ)
The participants' diets were assessed using a semiquantitative food frequency questionnaire(FFQ). The FFQ used in this study was validated in a previous study; the questionnaire exhibited reliability and validity for identifying major nutrients in the diets of Taiwanese vegetarians and omnivores.(Chiu TH et al., 2014) In this study, the nutrient analysis programme used to calculate the results of the FFQ was based on Taiwan's Food Composition Database. To assess the intake frequency of each food item, frequencies ranged from "never" or "\<1 time per month" to "more than 2 times per day.
Time frame: Before exercise
Gut microbiota analysis
Collect participant stool samples for gut microbiota analysis.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and at 24 and 48 hours post-exercise.
Untargeted metabolome analysis
Collect participant stool samples for metabolome analysis.Metabolite identification aims to analyze the metabolome composition of biological samples, investigate the regulation of metabolic pathways, and explore biochemical mechanisms.
Time frame: The testing time points are set as follows: before exercise, immediately after exercise, and at 24 and 48 hours post-exercise.
Body composition
The investigators used the InBody 570 (In-body, Seoul, South Korea), the bioelectrical impedance analyzer (BIA) to measure body composition. The device can screen frequencies of 1, 5, 50, 260, 500 and 1000 kHz within 60 seconds. After cleaning the palms and soles of the feet, the subject stood vertically on the electrodes of the instrument, holding the sensing handle with both hands and keeping the arms away from the body at a 30° angle, and avoided talking or moving during the measurement. The device measured body weight (kg), BMI (kg/m²), fat mass (%), and lean mass (kg).
Time frame: Before exercise
Rate of Perceived Exertion(RPE)
Assess perceived exercise intensity.
Time frame: The testing time points are set as follows: before exercise, at the 5-kilometer mark during exercise, and immediately after exercise.
Heart rate
Assess changes in heart rate.
Time frame: The testing time points are set as follows: before exercise, at the 5-kilometer mark during exercise, and immediately after exercise.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.