The discovery of biomarkers for the intake of meats and potatoes is needed for an accurate assessment of the intake of these foods. Twelve healthy subjects were enrolled in a controlled, cross-over meal study, randomized by a Latin square design. The test meals contained 1) beef, pork, chicken and a control meal for the meats and 2) french fries, boiled potatoes, chips and a control for the potato meals. A standardized diet was provided during sample collection. Blood and urine samples were collected up to 48h primarily for untargeted metabolomic profiling. Blood was further collected to study the effect of the meals on insulin and glycemic responses. Effects on satiety were measured by VAS and an ad libitum lunch following the test meals.
Protein-rich diets improve body weight regulations and are thus believed to play a key role in combating the global obesity epidemic. Protein-rich diets are generally high in meats, some of which have become controverted enough to be considered disease-promoting foods despite their nutritional richness. The degree at which associations with disease differs from causality is however not entirely known. Assessment of food intake currently relies on food frequency questionnaires (FFQ), 24h recall and dietary records, all of which are self-reporting methods known to be subject to bias and inaccuracy. Biomarkers of food intake emerged thus within the past years to complement the conventional tools as objective measurements of food intake, drawn from biological samples. Several biomarkers of meat consumption have been proposed, however none is currently accepted and used as biomarker(s) of meat intake and none is able to differentiate between the different types of meat. In the modern diet, meats are very often served with potatoes. To our knowledge, biomarkers of potato intake have not been thoroughly reported in the literature. Different cooking methods were shown to potentially influence the content of bioactive constituents of vegetables, their glycemic index, as well as subsequent energy intake. High heat cooking additionally yields the formation of potentially toxic compounds such as advanced glycation endproducts (AGEs) that were shown to contribute to insulin resistance and type 2 diabetes. In this line, biomarkers of potatoes as such as well as biomarkers to differentiate between different cooking methods would be of great importance in advancing the understanding of nutritional science. Primary objectives: 1. To identify acute biomarkers of general meat intake by untargeted metabolomics 2. To explore the changes in the metabolome as a result of acute exposure to three types of meat and identify meat-specific biomarkers of intake 3. To identify biomarkers of acute potato intake by untargeted metabolomics 4. To identify biomarkers that can differentiate between three types of cooking methods 5. To investigate the effect of the interaction between meat on potatoes on satiety, assessed by registration of intake from an ad libitum meal Secondary objectives: 1. To validate already known biomarkers of meat intake by targeted metabolomics 2. To investigate the effect of the interaction between meat and potatoes on satiety, assessed by visual analogue scales 3. To investigate the effect of the interaction between meat and potatoes on glucose and insulin responses
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
SINGLE
Enrollment
12
Participants receive test meals in the sequence 3C1A2B4D
Participants receive test meals in the sequence 2A3D4C1B
Participants receive test meals in the sequence 2D4B3A1C
Participants receive test meals in the sequence 3B2C1D4A
Participants receive test meals in the sequence 4C2B1A3D
Participants receive test meals in the sequence 1B4D3C2A
Participants receive test meals in the sequence 4A1C2D3B
Participants receive test meals in the sequence 1D3A4B2C
Participants receive test meals in the sequence 4D3B2C1A
Participants receive test meals in the sequence 3A4C1B2D
Participants receive test meals in the sequence 1C2A3D4B
Participants receive test meals in the sequence 2B1D4A3C
Urinary meat metabolites (metabolic profiling with mass spectrometry)
Explorative approach to discover biomarkers of general meat intake and to differentiate between different types of meat
Time frame: Hours 0-48
Plasma meat metabolites (metabolic profiling with mass spectrometry)
Explorative approach to discover biomarkers related to general meat intake and/or specific types of meat
Time frame: Hours 0-48
Urinary potato metabolites (metabolic profiling with mass spectrometry)
Explorative approach to discover biomarkers of general potato intake and to differentiate between different cooking methods
Time frame: Hours 0-48
Plasma potato metabolites (metabolic profiling with mass spectrometry)
Explorative approach to discover biomarkers related to general potato intake and/or related to different cooking methods
Time frame: Hours 0-48
Objective assessment of satiety
Measured by the weight of an ad libitum meal
Time frame: Hours 0-7
Urine biomarkers of meat intake
Targeted approach with mass spectrometry on already proposed meat biomarkers
Time frame: Hours 0-48
Subjective assessment of satiety
Assessed by visual analogue scale (VAS)
Time frame: Hours 0-6
Area under the curve for glucose
Glucose is measure at 0, 45, 90, 120, and 180 min after the test meal and the area is determined by the trapezoid method.
Time frame: Minutes 0-180
Area under the curve for insulin
Insulin is measure at 0, 45, 90, 120, and 180 min after the test meal and the area is determined by the trapezoid method.
Time frame: Minutes 0-180
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