Impdact of different types of meals and cold exposure on plasma secretin levels.

Not Applicable

Recruiting

Conditions: obesity
E66.9
Obesity, unspecified

Registration Number: DRKS00026236

Lead Sponsor: Technische Universität München

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Recruiting

Sex: All

Target Recruitment: 110

Inclusion Criteria

Caucasians; healthy women and men (50/50) aged 18-40 years; BMI between 18-25 kg/m2 (study arms 1 and 2); BMI > 30 kg/m² (study arm 3); nonsmokers; written informed consent.

Exclusion Criteria

Lack of informed consent; Reference to extreme protein-, carbohydrate-, fat-enriched diets; Current participation in other intervention studies; Smokers; Acute or chronic infectious disease (e.g., HIV, Lyme disease); Chronic liver disease (e.g., history of gallstones); Diabetes mellitus; Untreated endocrinologic diseases (e.g. hyperthyroidism or hypothyroidism) - Autoimmune diseases
(e.g. ulcerative colitis, rheumatism); cardiac pacemakers; tumor diseases in the previous 3 years; pregnant and breastfeeding women; known allergies or intolerances to one of the foods to be tested.

Study & Design

Study Type: interventional

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
In all three study arms, meal interventions will be performed under strictly controlled conditions. Secretin levels will be measured at the following times 0min, 15min, 30min, 60min, 90min, 120min, 150min, 180min.

Secondary Outcome Measures

Name	Time	Method
Secondary outcome are resting energy consumption (before and after meals, before and after cold exposure), body and skin temperature, activation of brown adipose tissue by MSOT, metabolic markers such as blood glucose and triglycerides, and gut microbiome composition.<br>In study arm 1, together with Prof. Karampinos, we want to optimize the mapping of adipose tissue in MRI to distinguish non-invasively white and brown adipose tissue using magnetic resonance imaging and a recently developed method (PDFF - proton density fat fraction).<br>