Overweight and Obesity Clinical Trial
Official title:
The Role of Altered Nutrient Partitioning in Food Reward
NCT number | NCT05200845 |
Other study ID # | 21-964 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | February 23, 2022 |
Est. completion date | June 1, 2023 |
Verified date | August 2023 |
Source | Virginia Polytechnic Institute and State University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Obesity remains a public health epidemic despite substantial advances in treatment strategies and therapies in the last decade. Effective strategies to support maintenance of improved metabolic health and reduced body weight are still needed. Signals from the gut to the brain are important in regulating metabolism and energy balance and have been linked with food reward and preference in metabolically healthy individuals with normal body mass index. In particular, post-ingestive signaling related to glucose metabolism has been linked with food reward and preference. However, not much is known about how these gut and brain signals interact to influence eating behaviors in states of obesity or altered metabolic health. In addition, evidence in rodent models and human studies indicates obesity is associated with a blunted brain response to foods compared with normal body weight. However, whether altered nutrient utilization, termed metabolic inflexibility, influences the relationship between obesity and food reward has yet to be studied. The overall objective of this proof-of-concept pilot study is to assess the feasibility of measuring reward response following a flavor-nutrient conditioning paradigm across the normal to obese body mass index (BMI) range and in states of altered metabolic health. The aims of this study are: 1) to determine whether differences in reinforcement learning/flavor-nutrient conditioning of carbohydrate can be measured across the body mass index range; and 2) to determine the feasibility of assessing metabolic flexibility and whether a relationship between metabolic flexibility and calorie-predictive reward can be detected.
Status | Completed |
Enrollment | 19 |
Est. completion date | June 1, 2023 |
Est. primary completion date | June 1, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 45 Years |
Eligibility | Inclusion Criteria: 1. BMI between 18.5-40 kg/m2 2. Not pregnant or planning to become pregnant during study participation 3. Residing in the Roanoke area and/or willing/able to attend sessions at the Fralin Biomedical Research Institute 4. Able to speak and write in English 5. Specific to fMRI scan only: BMI between 25-35 kg/m2 Exclusion Criteria: 1. Current inhaled nicotine use 2. History of alcohol dependence. 3. Current or past diagnosis of diabetes or thyroid problems. 4. Glycated hemoglobin (Hemoglobin A1C) >5.7% 5. Taking medications known to influence study measures (including antiglycemic agents, thyroid medications, sleep medications) 6. Active medical or neurologic disorder. 7. Recent change in body weight (gain or loss of > 5 lbs within the past 3 months) 8. Current shift work (typical pattern of work/activity overnight) 9. Previous weight loss surgery 10. Adherence to a special diet within the past 3 months (e.g., low-carb or ketogenic diet, exclusion of food groups/specific macronutrients, intermittent fasting, etc.) 11. Allergy to any food or ingredient included in the study diets, meals, or beverages 12. Currently pregnant or planning to become pregnant during study participation 13. Claustrophobia 14. Contraindications for MRI, including pacemaker, aneurysm clips, neurostimulators, cochlear or other implants, metal in eyes, regular work with steel, etc. (Note: This is an fMRI-specific exclusion criterion. Participants may be allowed to participate in all other study sessions and measures that do not involve fMRI.) 15. Contraindications for bioelectrical impedance analysis, specifically implanted devices |
Country | Name | City | State |
---|---|---|---|
United States | Fralin Biomedical Research Institute at Virginia Tech Carilion | Roanoke | Virginia |
Lead Sponsor | Collaborator |
---|---|
Virginia Polytechnic Institute and State University |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in preference- liking | Subjective ratings of liking of flavors used in the intervention will be assessed at baseline and after the intervention. The generalized Labeled Magnitude Scale will be used. The scale is anchored by descriptors of "Most Disliked Sensation Imaginable" and "Most Liked Sensation Imaginable" at the lower and upper ends, respectively. The score is determined by the place on the scale participants select (range of scale is 0-100). An increase in score from baseline to post-intervention indicates an increase in liking. | 15-minute measurement | |
Secondary | Change in preference- wanting | Subjective ratings of liking of flavors used in the intervention will be assessed at baseline and after the intervention. A Visual Analog Scale will be used. Participants select a place on the line that corresponds with their subjective rating, and the score is determined by the place selected (range of scores is 0-100). The line is anchored by polar opposite descriptors ("Do not want at all" and "Want very much"). An increase in score from baseline to post-intervention indicates and increase in wanting. | 15-minute measurement | |
Secondary | Change in preference- wanting | Ad libitum intake will be used as a measure of wanting in a post-test session. Participants will be provided each beverage used during the intervention and asked to drink as much or as little of them as they would like over a 30-minute period. | 30-minute measurement | |
Secondary | Change in preference- wanting | Forced choice will be used as a measure of wanting in a post-test session. Participants will be provided each of the beverages used during the intervention and asked to choose 1 to take home with them. | 5-minute measurement | |
Secondary | Blood oxygen level-dependent (BOLD) response to beverages | In a post-test session, functional magnetic resonance imaging (fMRI) scans will be performed while beverages (without calories) used during the intervention are delivered through a custom manifold fitted to a head coil and connected to a pump system that allows precisely timed and measured delivery of liquids. | 30-minute measurement | |
Secondary | Substrate oxidation response to test meals | Indirect calorimetry in a metabolic chamber will be used to assess substrate oxidation response to high-fat and high-carbohydrate test meals. | 6-hour measurement | |
Secondary | Blood glucose response to beverages | Blood glucose will be assessed at baseline and at set time points for 2 hours after consumption of intervention beverages in one exposure session. | 2-hour measurement | |
Secondary | Blood insulin response to beverages | Blood insulin will be assessed at baseline and at set time points for 2 hours after consumption of intervention beverages in an exposure session. | 2-hour measurement | |
Secondary | Energy expenditure in response to beverages | Indirect calorimetry will be used to determine energy expenditure at baseline (for 30 minutes) and for 1 hour after consumption of intervention beverages in an exposure session. | 1.5-hour measurement | |
Secondary | Respiratory exchange ratio in response to beverages | Indirect calorimetry will be used to determine respiratory exchange ratio at baseline (for 30 minutes) and for 1 hour after consumption of intervention beverages in an exposure session. | 1.5-hour measurement | |
Secondary | Substrate oxidation in response to beverages | Indirect calorimetry will be used to determine substrate oxidation at baseline (for 30 minutes) and for 1 hour after consumption of intervention beverages in an exposure session. | 1.5-hour measurement |
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