Gut-muscle Axis: Exploring the Gut Microbiota Influences Host Energy Sources and Exercise Performance Via Modulation of Lactate Metabolism and Utilization
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 90
- 主要终点
- Concentration of lactate
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Non Randomized
- 干预模型
- Parallel
- 主要目的
- Basic Science
- 盲法
- None
入排标准
- 年龄范围
- 20 Years 至 65 Years（Adult, Older Adult）
- 性别
- Male
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- •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.
- •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.
结局指标
主要结局
Concentration of lactate
时间窗: 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
时间窗: 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
时间窗: 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
时间窗: 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
时间窗: 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
时间窗: 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
时间窗: 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.
Concentration of cortisol
时间窗: 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)
时间窗: 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
时间窗: 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.
Untargeted metabolome analysis
时间窗: 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.
次要结局
- Body composition(Before exercise)
- 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.)
- Heart rate(The testing time points are set as follows: before exercise, at the 5-kilometer mark during exercise, and immediately after exercise.)
研究者
Yi-Ju Hsu
Associate Professor
National Taiwan Sport University