Influence of fibers and polyphenols from sweet lupine and sunflower flour on the intestinal microbiome
Not Applicable
Recruiting
- Conditions
- Healthy Participants
- Registration Number
- DRKS00028790
- Lead Sponsor
- Technische Universität München, ZIEL - Institute for Food and Health, Lehrstuhl für Ernährung und Immunologie, TUM School of Life Sciences Weihenstephan
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 60
Inclusion Criteria
Written informed consent; omnivorous diet
Exclusion Criteria
Lack of informed consent; current participation in other intervention studies; known allergies or intolerances towards ingredients of food items; pregnant or breastfeeding women; BMI < 18.5 or > 30 kg/m^2; vegetarian or vegan diet and other special diets (low-carb high-fat, formula, protein-enriched, etc.); treatment with antibiotics in the 6 months before the study; diverticulosis or diverticulitis
Study & Design
- Study Type
- interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary outcome of this study is the altered composition of the participants’ microbiota upon consumption of food items containing sunflower and sweet lupine flour. Stool samples that were collected after consumption of one of these food items for one week will be analyzed via 16S rRNA gene analysis. Results will be compared to sequences obtained from stool samples collected after consumption of food with wheat flour for one week. Here, the primary goal is an increase of bacterial diversity (beta-diversity) in the participants’ colon after consumption of food items with either sunflower or sweet lupine flour.
- Secondary Outcome Measures
Name Time Method The secondary outcome is the impact of food items containing sunflower or sweet lupine flour on the metabolite profile in the participants’ colon. Stool samples collected after consumption of these food items for one week will be analyzed via mass spectrometry to detect different metabolites (short chain fatty acids and secondary bile acids).