Plant Based Diet, Ethnicity, and the Gut Microbiome
Purpose
Samples will be collected to determine human genetic variation, fecal and oral microbial communities, and metabolome products. Several evolutionary and ecological diversity metrics will be distilled to test: a) if microbiome variation within each ethnicity is less than that between ethnicities; b) if microbiome variation is finely structured according to genetic relatedness; and c) if dietary variation impacts human genome x microbiome associations.
Conditions
- Diet Modification
- Microbial Colonization
Eligibility
- Eligible Ages
- Between 18 Years and 40 Years
- Eligible Genders
- Female
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- Female - Age 18-40 - BMI 18.5-24.9 - Caucasian or African American
Exclusion Criteria
- Not weight stable - Using Medications - Using Dietary Supplements - Chronic Disease - Tobacco Use - Drug Use - Pregnant or Lactating - Diet Restrictions - Vegetarian or Vegan
Study Design
- Phase
- N/A
- Study Type
- Interventional
- Allocation
- N/A
- Intervention Model
- Single Group Assignment
- Intervention Model Description
- Pre Post Design
- Primary Purpose
- Basic Science
- Masking
- None (Open Label)
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
|
Experimental Plant Based Diet Group |
Study aims for two cohorts of 20 females each, being tested over 6 days in two conditions: habitual diet versus plant based diet. |
|
More Details
- Status
- Completed
- Sponsor
- Vanderbilt University Medical Center
Study Contact
Detailed Description
To characterize the human gut microbiome under highly controlled dietary intake in healthy normal weight adult participants who differ by ethnicity: White non-Hispanic and Black non-Hispanic adults. Samples will be collected to determine human genetic variation, fecal and oral microbial communities, and metabolome products. Several evolutionary and ecological diversity metrics will be distilled to test: a) if microbiome variation within each ethnicity is less than that between ethnicities; b) if microbiome variation is finely structured according to genetic relatedness; and c) if dietary variation impacts human genome x microbiome associations.