Diet Modification, Microbial Colonization
Conditions
Brief summary
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.
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.
Interventions
Plant Based Diet for 4 Days Compared to Habitual Diet
Sponsors
Study design
Intervention model description
Pre Post Design
Eligibility
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Microbial Community Profile | 4 days | A microbial community profile will be generated for each individual using high-throughput Illumina sequencing of the 16S rDNA microbial gene sequence. This community profile of each subjects microbiome will be assessed from a minimum of 10,000 sequences per individual at multiple timepoints. The profile will be used to quantify how inter-individual variation of the microbiome varies across ethnicities. |
Countries
United States