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Background:
Diet-induced thermogenesis (DIT) is the amount of energy one s body uses to eat food, absorb the nutrients from the food, and process those nutrients. Researchers would like to understand more about how changing the balances of protein, fat, carbohydrates, and total calories in the diet can affect DIT.
Objective:
To learn how different diets can change a person s DIT.
Eligibility:
Healthy people aged 18 to 60 years who have not intentionally lost weight in the past 6 months.
Design:
Participants will stay in a clinic for about 35 days. They will eat only the food provided. They will receive 8 different diets during the study, including 7 test diets.
Participants will undergo multiple tests.
They will be screened with blood and urine tests and a test of their heart function.
During the first few days:
Their waist, thigh, and neck circumference will be measured.
They will have a DXA scan: They will lie on a padded table for about 20 minutes while an instrument measures the amount of fat in their body.
They will be tested for diabetes.
They will answer questionnaires about topics including eating behavior, hunger, and stress.
Throughout the study:
Their weight will be measured daily.
Blood tests will be repeated.
They will stay in a metabolic chamber a total of 9 times. They will remain in a closed room for 24 hours while researchers monitor the room temperature and levels of oxygen and carbon dioxide. Participants will collect all their urine for each 24-hour period.
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Full description
Study Description:
Diet-Induced Thermogenesis (DIT) has been reported to increase as a function of the amount caloric intake. This study investigated this dose response between calorie intake and energy expenditure using a single liquid meal. By measuring EE over 24 hours in our respiratory chamber, we can capture the full extent of DIT at different caloric doses in relation to energy balance. Furthermore, we will investigate inter-individual differences in 24hEE response to different calorie loads. This is important as our previous studies demonstrated that individuals with greater EE during energy balance have 1) greater decrease in EE to fasting and 2) blunted EE response to higher calorie loads, in particular those with low protein content, respectively. Briefly, we will make multiple measurements of 24h EE in a whole-room indirect calorimeter, the gold standard measure of metabolism at multiple levels of energy intake relative to energy balance. These measures will be done at energy balance and in random order during fasting, 25, 50, 150 and 200% of energy balance requirements. Macronutrient balance for energy balance and lower calorie diets will be 50% carbohydrate, 30% fat, 20% protein; but for overfeeding will be 3% protein, 46% fat, 51% carbohydrate. The main goals of this research are to examine using state of the art measurement of DIT in a respiratory chamber whether there is indeed an association between caloric intake and energy expenditure and whether inter-individual response to calorie loads differs such that those with higher 24hEE during energy balance, have lower 24hEE during fasting and underfeeding 25 and 50% and lesser response to high calorie loads.
The primary goal of this study is to investigate the impact of relative calorie load on diet-induced thermogenesis.
Objectives:
Primary Objective:
a. To determine whether an association exists between diet-induced thermogenesis, 24hEE and calorie load relative to energy balance.
Secondary Objectives:
Tertiary/Exploratory Objectives:
Endpoints:
Primary Endpoint:
a. Diet induced thermogenesis, as calculated from 24h EE during feeding - 24h EE during fasting under different calorie loads
Secondary Endpoints:
Tertiary/Exploratory Endpoints:
a. Psychosocial assessments, such as food insecurity and perceived stress
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Inclusion and exclusion criteria
In order to be eligible to participate in this study, an individual must meet all of the following criteria:
EXCLUSION CRITERIA:
An individual who meets any of the following criteria will be excluded from participation in this study:
Current use of tobacco products that exceed "Very Low Dependence" on the Fagerstrom Test for Nicotine Dependence Tool (score greater than 2)
Diabetes
i. Fasting glucose >= 126 mg/dl or hba1c >= 6.5% or
ii. history of type 1 or type 2 diabetes
-Endocrine disorders, such as
i. History of Cushing s disease, pituitary disorders, or hypo- and hyperthyroidism
ii. TSH <0.1 or >= 10 uIU/mL
Pulmonary disorders
i. History of chronic obstructive pulmonary disease or other lung disease that which would limit ability to follow the protocol (investigator judgment)
Cardiovascular diseases,
i. Including history of coronary heart disease, heart failure, arrhythmias, and peripheral artery disease
Hypertension,
i. History of diagnosis and current treatment by an outside clinician
ii. or sitting blood pressure measurement, using an appropriate cuff, higher than
140/90 mmHg
-Liver disease,
i. including history of cirrhosis, active hepatitis B or C
ii. AST or ALT >=3 times upper limit of normal on screening labs
Renal disease
i. Serum creatinine >= 1.5 mg/dls
Abnormal kidney function (eGFR <60 mL/min/1.73m^2)
Central nervous system disease:
i. including history of previous history of cerebrovascular accidents, dementia, and neurodegenerative disorders
Cancer:
i. History requiring treatment in the past five years, except for non-melanoma skin cancers or cancers that have clearly been cured or in the opinion of the investigator carry an excellent prognosis (e.g., Stage 1 cervical cancer).
Infectious disease:
i. History of active tuberculosis, HIV chronic coccidiomycosis or other chronic infections
Conditions not specifically mentioned above may serve as criteria for exclusion at the discretion of the investigators
Evidence of alcohol abuse as defined by > =8-point score on the Alcohol consumption screening AUDIT questionnaire in adults
Current use of illegal drugs such as amphetamines, cocaine, opiates, or heroin; use of marijuana is permitted.
For Females:
Measured weight: greater than or equal to 450 lb. (maximum weight allowed on the DXA scanning tables by the manufacturer).
Inability to speak or read English by self-report.
Inability to provide informed consent
History of psychological conditions including (but not limited to) claustrophobia, clinical depression, bipolar disorders, or forms of mental incapacity that would be incompatible with safe and successful participation in this study
Current use of medications/dietary supplements/alternative therapies known to alter energy metabolism
Inability to consume provided diets due to dietary concerns that will not allow them to consume >=95% of provided calories.
Primary purpose
Allocation
Interventional model
Masking
120 participants in 10 patient groups
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Central trial contact
Tomas Cabeza De Baca, Ph.D.; Office of Participant Recruitment (NIDDK
Data sourced from clinicaltrials.gov
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