Reduced Carbohydrate Versus Fat in Obese Subjects
Selective Reduction of Dietary Carbohydrate Versus Fat: Effects on Metabolism, Endocrine Physiology, Brain Activity and Reward Circuitry
2 other identifiers
interventional
43
1 country
1
Brief Summary
Popular weight loss strategies often involve reducing an individual's consumption of carbohydrates or fat. However, no controlled study has been carried out to evaluate the effects of reducing carbohydrate versus fat consumption while keeping the other nutrients at standard levels to maintain an individual's weight. Researchers are interested in investigating how different restrictions of carbohydrates or fats affect the many processes involved in weight loss, including brain activity and blood and brain chemical composition.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for phase_2 obesity
Started Feb 2009
Longer than P75 for phase_2 obesity
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 13, 2009
CompletedFirst Submitted
Initial submission to the registry
February 14, 2009
CompletedFirst Posted
Study publicly available on registry
February 18, 2009
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 24, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
October 20, 2014
CompletedResults Posted
Study results publicly available
March 24, 2021
CompletedApril 15, 2021
January 22, 2020
5 years
February 14, 2009
October 7, 2020
March 24, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in Respiratory Quotient (RQ)
Respiratory quotient was calculated as the ratio of carbon dioxide production to oxygen consumption as measured in a metabolic chamber for at least 23 continuous hours on days 2 and 5 of the baseline diet and days 1, 4, and 6 of the reduced-energy diets.
Baseline and day 14
Secondary Outcomes (5)
Change in 24 Hour Energy Expenditure
Baseline and 14 days
Change in Cumulative Fat Imbalance
Baseline and 14 days
Caudate Dopamine D2-like Receptor Binding Potential (D2BP)
Day 2 of in-patient admission
Putamen Dopamine D2-like Receptor Binding Potential (D2BP)
Day 2 of in-patient admission
Accumbens Dopamine D2-like Receptor Binding Potential (D2BP)
Day 2 of in-patient admission
Study Arms (3)
Obese RF then RC
EXPERIMENTALObese adult volunteers (BMI above 30 kg/m2) randomized to receive an 85% reduction of baseline dietary fat (RF) for 2 weeks. After a washout period of 2 weeks, they then received a 60% reduction of baseline dietary carbohydrate (RC) for 2 weeks
Obese RC then RF
EXPERIMENTALObese adult volunteers (BMI above 30 kg/m2) randomized to receive a 60% reduction of baseline dietary carbohydrate (RC) for 2 weeks. After a washout period of 2 weeks, they then received an 85% reduction of baseline dietary fat (RF) for 2 weeks.
Lean Control
ACTIVE COMPARATORLean adult volunteers (BMI below 30kg/m2) placed on a weight-maintenance diet using a standard diet composition of 50% carbohydrate, 35% fat, and 15% protein on an out-patient basis
Interventions
RF (selective reduction of 85% of baseline fat calories per day)
RC (selective reduction of 60% of baseline carbohydrate calories per day)
Dopamine D2 receptor availability is measured by positron emission tomography (PET) using the positron emitting compound \[18F\] fallypride which binds competitively with dopamine to the D2 receptor.
Functional MRI (fMRI) will be used to measure the effects of diet and weight loss on regional brain activity
Positron emission tomography (PET) will be used to assess whether To assess whether brain activity and reward pathways are altered
Eligibility Criteria
You may qualify if:
- Age 18-45 years, male or female
- Body mass less than 350 lbs. (max. weight dictated by table limit for functional magnetic resonance imaging (fMRI) scanner) when acquisition of large bore fMRI is complete, max. wt. limit will increase to 400 lbs.
- Weight stable (less than plus or minus 5 kg over past 6 months)
- Body mass index greater than or equal to 30.0 kg/m(2)
- Premenopausal (women only)
- Healthy, as determined by medical history and laboratory tests
- Able to complete daily bouts of walking at a moderate rate
- Written informed consent
You may not qualify if:
- Body mass greater than 350 lbs. (max. weight dictated by table limit for fMRI scanner) when acquisition of large bore fMRI is complete, max. wt. limit will increase to 400 lbs.
- BMI less than 30.0 kg/m(2)
- Evidence of metabolic or cardiovascular disease, or disease that may influence metabolism (e.g. cancer, diabetes, thyroid disease)
- Taking any prescription medication (except birth control) or other drug that may influence metabolism (e.g. diet/weight-loss medication)
- Hematocrit less than 34% (women only)
- Hematocrit less than 40% (men only)
- Pregnancy, lactation (women only)
- Allergy to lidocaine or ethanol
- Participating in a regular exercise program (greater than 2h/week of vigorous activity)
- Caffeine consumption greater than 150 mg/day (will be clamped at baseline intake during study)
- Regular use of alcohol (greater than 2 drinks per day), tobacco (smoking or chewing), amphetamines, cocaine, heroin, or marijuana over past 6 months
- Past or present history of eating disorder (including binge eating) or psychiatric disease
- Volunteers with strict dietary concerns (e.g. vegetarian or kosher diet, multiple food allergies)
- Are claustrophobic to a degree that they would feel uncomfortable in the MRI machine.
- Having any metal in their body (for example, pacemakers, metallic prostheses such as cochlear implants or heart valves, shrapnel fragments, etc.).
- +27 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Institutes of Health Clinical Center, 9000 Rockville Pike
Bethesda, Maryland, 20892, United States
Related Publications (8)
Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. JAMA. 1999 Oct 27;282(16):1523-9. doi: 10.1001/jama.282.16.1523.
PMID: 10546691BACKGROUNDAllison DB, Zannolli R, Narayan KM. The direct health care costs of obesity in the United States. Am J Public Health. 1999 Aug;89(8):1194-9. doi: 10.2105/ajph.89.8.1194.
PMID: 10432905BACKGROUNDSamaha FF, Iqbal N, Seshadri P, Chicano KL, Daily DA, McGrory J, Williams T, Williams M, Gracely EJ, Stern L. A low-carbohydrate as compared with a low-fat diet in severe obesity. N Engl J Med. 2003 May 22;348(21):2074-81. doi: 10.1056/NEJMoa022637.
PMID: 12761364BACKGROUNDHall KD, Bemis T, Brychta R, Chen KY, Courville A, Crayner EJ, Goodwin S, Guo J, Howard L, Knuth ND, Miller BV 3rd, Prado CM, Siervo M, Skarulis MC, Walter M, Walter PJ, Yannai L. Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity. Cell Metab. 2015 Sep 1;22(3):427-36. doi: 10.1016/j.cmet.2015.07.021. Epub 2015 Aug 13.
PMID: 26278052RESULTGuo J, Simmons WK, Herscovitch P, Martin A, Hall KD. Striatal dopamine D2-like receptor correlation patterns with human obesity and opportunistic eating behavior. Mol Psychiatry. 2014 Oct;19(10):1078-84. doi: 10.1038/mp.2014.102. Epub 2014 Sep 9.
PMID: 25199919RESULTSimmons WK, Rapuano KM, Ingeholm JE, Avery J, Kallman S, Hall KD, Martin A. The ventral pallidum and orbitofrontal cortex support food pleasantness inferences. Brain Struct Funct. 2014 Mar;219(2):473-83. doi: 10.1007/s00429-013-0511-0. Epub 2013 Feb 9.
PMID: 23397317RESULTSimmons WK, Rapuano KM, Kallman SJ, Ingeholm JE, Miller B, Gotts SJ, Avery JA, Hall KD, Martin A. Category-specific integration of homeostatic signals in caudal but not rostral human insula. Nat Neurosci. 2013 Nov;16(11):1551-2. doi: 10.1038/nn.3535. Epub 2013 Sep 29.
PMID: 24077565RESULTDarcey VL, Guo J, Courville AB, Gallagher I, Avery JA, Simmons WK, Ingeholm JE, Herscovitch P, Martin A, Hall KD. Dietary fat restriction affects brain reward regions in a randomized crossover trial. JCI Insight. 2023 Jun 22;8(12):e169759. doi: 10.1172/jci.insight.169759.
PMID: 37345661DERIVED
Related Links
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Kevin Hall, PhD
- Organization
- National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Study Officials
- PRINCIPAL INVESTIGATOR
Kevin Hall, Ph.D.
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- phase 2
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- NIH
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 14, 2009
First Posted
February 18, 2009
Study Start
February 13, 2009
Primary Completion
February 24, 2014
Study Completion
October 20, 2014
Last Updated
April 15, 2021
Results First Posted
March 24, 2021
Record last verified: 2020-01-22