Modulation of the Intestinal Microbiome by a High Protein Diet
NCT ID: NCT04812964
Last Updated: 2024-08-07
Study Results
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View full resultsBasic Information
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COMPLETED
NA
106 participants
INTERVENTIONAL
2018-04-03
2024-03-31
Brief Summary
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Detailed Description
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More than three quarters of Veterans are overweight or obese, making obesity a public health problem of tremendous importance to the VA medical system. The results of the proposed study will provide insight into the specific microbes that drive the clinical response to a high protein diet and may identify candidate anti-obesity microbes that could be further developed into novel microbial therapeutics. More broadly, establishing a microbiome-dependent mechanism for the efficacy of a dietary intervention would be a breakthrough in the investigators' understanding of obesity treatment. It would pave the way for larger scale clinical and translational studies investigating the role of the microbiota in other diets and for the development of microbial therapeutics used alone or in combination with dietary intervention to treat obese Veterans.
To investigate the role of the intestinal microbiome in mediating the effect of a high protein diet, the investigators will study 216 overweight and obese Veterans (BMI 27) who will be randomized 1:1 to isocaloric high protein (30%) or normal protein (15%) 1500 calorie diets for 16 weeks utilizing existing clinical infrastructure at the West Los Angeles VA Medical Center established for a recently completed clinical trial of a high protein diet. In Aim 1, the effect of a high protein diet on the composition and function of the intestinal microbiome will be assessed by 16S rRNA sequencing, shotgun metagenomics, and metabolomics. In Aim 2, bioinformatics analysis will be performed to identify fecal microbes, bacterial genes, and metabolites that are associated with weight loss, reduced body fat, decreased hepatic steatosis, altered lipid profiles, reduced hemoglobin A1c, decreased high sensitivity C-reactive protein, increased satiety, and circulating levels of hormones affecting satiety (leptin, ghrelin glucagon, glucagon-like peptide-1, peptide YY).
Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
NONE
Study Groups
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Standard Diet
Standard protein diet group as control based on 0.5 gram protein per pound of lean body mass with same calories: 15% protein and 55% carbohydrate.
Protein powder supplement, standard dosage based on 0.5 gram protein per pound of subject's lean body mass
Standard protein diet as control, based on 0.5 gram protein per pound of lean body mass, isocaloric (same number of calories) and consisting of 15% protein and 55% carbohydrate.
High Protein Diet
High protein diet group based on 1 gram of protein per pound of lean body mass: 30% protein and 40% carbohydrate.
Protein powder supplement, High Level Protein, based on 1 gram of protein per pound of lean body mass: 25% protein and 45% carbohydrate
High level of protein diet, based on 1 gram of protein per pound of subject's lean body mass, isocaloric (same number of calories) and consisting of 30% protein and 40% carbohydrate.
Interventions
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Protein powder supplement, standard dosage based on 0.5 gram protein per pound of subject's lean body mass
Standard protein diet as control, based on 0.5 gram protein per pound of lean body mass, isocaloric (same number of calories) and consisting of 15% protein and 55% carbohydrate.
Protein powder supplement, High Level Protein, based on 1 gram of protein per pound of lean body mass: 25% protein and 45% carbohydrate
High level of protein diet, based on 1 gram of protein per pound of subject's lean body mass, isocaloric (same number of calories) and consisting of 30% protein and 40% carbohydrate.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* BMI 27 to 40 kg/m\^2,
* non-smoker or stable smoking habits for at least 6 months prior to screening and agreement not to change such habits during the study;
* subjects on non-obesity prescription medication may be included.
Exclusion Criteria
* calorie restriction diet (\<1500 kcal/day) for a period of 4 months or more in the 12 months prior to screening,
* use of any other investigational drug(s) within 8 weeks prior to screening,
* abnormal baseline laboratory parameters (serum creatinine \> 1.6 mg/dl; ALT, AST, total bilirubin \> 2.0 times the upper limit of normal;
* triglycerides \> 500 mg/dl, total cholesterol \> 350 mg/dl, TSH outside of normal range),
* consumption of more than 1 alcoholic beverage per day, pregnancy or intention to become pregnant.
20 Years
60 Years
ALL
Yes
Sponsors
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VA Office of Research and Development
FED
Responsible Party
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Principal Investigators
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Jonathan P Jacobs, MD PhD
Role: PRINCIPAL_INVESTIGATOR
VA Greater Los Angeles Healthcare System, West Los Angeles, CA
Locations
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VA Greater Los Angeles Healthcare System, West Los Angeles, CA
West Los Angeles, California, United States
Countries
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References
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Vu JP, Luong L, Parsons WF, Oh S, Sanford D, Gabalski A, Lighton JR, Pisegna JR, Germano PM. Long-Term Intake of a High-Protein Diet Affects Body Phenotype, Metabolism, and Plasma Hormones in Mice. J Nutr. 2017 Dec;147(12):2243-2251. doi: 10.3945/jn.117.257873. Epub 2017 Oct 25.
Dong TS, Luu K, Lagishetty V, Sedighian F, Woo SL, Dreskin BW, Katzka W, Chang C, Zhou Y, Arias-Jayo N, Yang J, Ahdoot A, Li Z, Pisegna JR, Jacobs JP. A High Protein Calorie Restriction Diet Alters the Gut Microbiome in Obesity. Nutrients. 2020 Oct 21;12(10):3221. doi: 10.3390/nu12103221.
Stengel A, Goebel-Stengel M, Wang L, Hu E, Karasawa H, Pisegna JR, Tache Y. High-protein diet selectively reduces fat mass and improves glucose tolerance in Western-type diet-induced obese rats. Am J Physiol Regul Integr Comp Physiol. 2013 Sep 15;305(6):R582-91. doi: 10.1152/ajpregu.00598.2012. Epub 2013 Jul 24.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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GAST-030-17S
Identifier Type: -
Identifier Source: org_study_id
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