Marathon Runner
Conditions
Brief summary
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.
Detailed description
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.
Interventions
DEVICErunning
Running 10 kilometers on a treadmill
Sponsors
National Taiwan Sport University
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
MALE
Age
20 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
Marathon Running Group Inclusion Criteria: * Training frequency of at least 3 times per week in the past year, with each session involving at least 1 hour of running. * Participation in at least 2 marathon events within the past 2 years, with a completion time of under 4 hours and 30 minutes for a full marathon, or under 2 hours and 15 minutes for a half marathon.
Exclusion criteria
* Excludes individuals with cardiovascular diseases, hypertension, epilepsy, bronchitis, severe asthma, heart disease, inflammatory bowel disease, bacterial or viral infections, disabilities, or chronic bone diseases. * Habitual smokers. * Individuals with highly irregular eating habits or sleep patterns due to shift work or night work. * History of chronic neuro-muscular injuries or disorders in the past 6 months. * Individuals who have received antibiotic treatment or taken probiotic supplements in the past 6 months. General Healthy Adult Group Inclusion Criteria: * Generally healthy, untrained individuals.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Untargeted metabolome analysis | The testing time points are set as follows: before exercise, immediately after exercise, and at 24 and 48 hours post-exercise. | 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. |
| Concentration of cortisol | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in cortisol concentration. |
| ood frequency questionnaire(FFQ) | Before exercise | 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. |
| Gut microbiota analysis | The testing time points are set as follows: before exercise, immediately after exercise, and at 24 and 48 hours post-exercise. | Collect participant stool samples for gut microbiota analysis. |
| Concentration of lactate | 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. | Measure changes in lactate concentration. |
| Concentration of creatine kinase | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in creatine kinase concentration. |
| Concentration of glucose | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in glucose concentration. |
| Concentration of creatinine | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in creatinine concentration. |
| Concentration of blood urea nitrogen | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in blood urea nitrogen concentration. |
| Concentration of lactate dehydrogenase | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in lactate dehydrogenase concentration. |
| Concentration of free fatty acid | The testing time points are set as follows: before exercise, immediately after exercise, and 60 minutes post-exercise. | Measure changes in free fatty acid concentration. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Rate of Perceived Exertion(RPE) | The testing time points are set as follows: before exercise, at the 5-kilometer mark during exercise, and immediately after exercise. | Assess perceived exercise intensity. |
| Heart rate | The testing time points are set as follows: before exercise, at the 5-kilometer mark during exercise, and immediately after exercise. | Assess changes in heart rate. |
| Body composition | Before exercise | 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). |
Contacts
Primary ContactYi-Ju Hsu
Outcome results
None listed