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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
126
Each session will last 20 to 60 minutes depending on the stage of progression (shorter duration in the first few weeks). Sessions will occur on nonconsecutive days of the week. Moderate-intensity, continuous aerobic exercise will be used to target large muscle groups (e.g., legs) with the principal goal of increasing cardiorespiratory fitness. Exercise intensity will be gradually increased. To mitigate stagnation and support continued improvement of cardiorespiratory fitness, high-intensity interval exercise will be added in later weeks of the intervention.
The flexibility/toning control condition will be delivered using the same frequency as the aerobic condition (i.e., 3 times per week) and use light resistance bands of least difficulty. The flexibility/toning sessions will last about 40 minutes, be led by trained exercise specialists. Flexibility/toning activities will target the head/neck, shoulder, elbow/forearm, hand/wrist, trunk/hip, and ankle/foot. The progression of activities over the 10-week period will involve performing additional exercises and sets along with using progressively thicker elastic resistance bands (i.e., Thera-bands) that provide minimal resistance.
University of Alabama at Birmingham
Birmingham, Alabama, United States
Composition of gut microbiota as measured by fecal samples
Using standard diversity and taxa comparison metrics
Time frame: Baseline
Composition of gut microbiota as measured by fecal samples
Using standard diversity and taxa comparison metrics
Time frame: 5 weeks after baseline
Composition of gut microbiota as measured by fecal samples
Using standard diversity and taxa comparison metrics
Time frame: 10 weeks after baseline
Composition of gut microbiota as measured by fecal samples
Using standard diversity and taxa comparison metrics
Time frame: 15 weeks after baseline
Systemic inflammation tested via blood biomarkers
Blood samples will be analyzed for markers of inflammation (IL-6, IL-10)
Time frame: Baseline
Systemic inflammation tested via blood biomarkers
Blood samples will be analyzed for markers of inflammation (IL-6, IL-10)
Time frame: 5 weeks after baseline
Systemic inflammation tested via biomarkers
Blood samples will be analyzed for markers of inflammation (IL-6, IL-10)
Time frame: 10 weeks after baseline
Systemic inflammation tested via blood biomarkers
Blood samples will be analyzed for markers of inflammation (IL-6, IL-10)
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Time frame: 15 weeks after baseline
Autonomic nervous system measured through non-invasive ECG
Using a Actiheart 5 to measure heart rate variability and impedance cardiography while resting quietly
Time frame: Baseline
Autonomic nervous system measured through non-invasive ECG
Using a Actiheart 5 to measure heart rate variability and impedance cardiography while resting quietly
Time frame: 5 weeks after baseline
Autonomic nervous system measured through non-invasive ECG
Using a Actiheart 5 to measure heart rate variability and impedance cardiography while resting quietly
Time frame: 10 weeks after baseline
Autonomic nervous system measured through non-invasive ECG
Using a Actiheart 5 to measure heart rate variability and impedance cardiography while resting quietly
Time frame: 15 weeks after baseline
Concentration of cortisol measured through hair sample
Hormone change that is associated with stress
Time frame: Baseline
Concentration of cortisol measured through hair sample
Hormone change that is associated with stress
Time frame: 5 weeks after baseline
Concentration of cortisol measured through hair sample
Hormone change that is associated with stress
Time frame: 10 weeks after baseline
Concentration of cortisol measured through hair sample
Hormone change that is associated with stress
Time frame: 15 weeks after baseline
Fatigue measured through fatigue specific questionnaire
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
Time frame: Baseline
Fatigue measured through fatigue specific questionnaire
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
Time frame: 5 weeks after baseline
Fatigue measured through fatigue specific questionnaire
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
Time frame: 10 weeks after baseline
Fatigue measured through fatigue specific questionnaire
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
Time frame: 15 weeks after baseline