Gut Microbe Composition, Exercise, and Breast Breast Cancer Survivors
- Conditions
- Gut MicrobiomeExerciseFatigueBreast Cancer
- Interventions
- Other: Aerobic Exercise TrainingOther: Attention Control
- Registration Number
- NCT04088708
- Lead Sponsor
- University of Alabama at Birmingham
- Brief Summary
The primary goal of this project is to determine the effects of exercise on the gut microbiome in breast cancer survivors and determine how these changes may relate to psychosocial symptoms such as fatigue.
- Detailed Description
Cancer survivors are at increased risk of gut bacteria communities that can negatively impact health and energy level and it is possible that exercise can cause healthy changes in these communities. Through careful design, this study will use a controlled-feeding diet and 10 weeks of exercise training to determine exercise effects on the number, distribution, and types of bacteria in the gut of breast cancer survivors. These changes will then be linked to fatigue and physiologic effects of exercise to determine how the information can be used to enhance exercise benefits and identify new treatment strategies leveraging changes in gut bacteria communities.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- Female
- Target Recruitment
- 126
Not provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Arm && Interventions
Group Intervention Description Aerobic Exercise Training Aerobic Exercise Training Progressive aerobic exercise training sessions supervised by exercise specialists who have experience training cancer survivors. Attention Control Attention Control The non-aerobic exercise attention control condition will control for the effects of attention with flexibility/toning activities.
- Primary Outcome Measures
Name Time Method Composition of gut microbiota as measured by fecal samples 15 weeks after baseline Using standard diversity and taxa comparison metrics
- Secondary Outcome Measures
Name Time Method Autonomic nervous system measured through non-invasive ECG 15 weeks after baseline Using a Actiheart 5 to measure heart rate variability and impedance cardiography while resting quietly
Systemic inflammation tested via biomarkers 10 weeks after baseline Blood samples will be analyzed for markers of inflammation (IL-6, IL-10)
Systemic inflammation tested via blood biomarkers 15 weeks after baseline Blood samples will be analyzed for markers of inflammation (IL-6, IL-10)
Concentration of cortisol measured through hair sample 15 weeks after baseline Hormone change that is associated with stress
Fatigue measured through fatigue specific questionnaire 15 weeks after baseline Fatigue Symptom Inventory which contains 13 items (fatigue intensity = mean of 4 items, 1 to 10 scale; fatigue interference = mean of 7 items, 0 to 10 scale; 2 general fatigue items = 0 to 7 scale and 1 to 10 scale); higher score indicates greater fatigue
Trial Locations
- Locations (1)
University of Alabama at Birmingham
🇺🇸Birmingham, Alabama, United States