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| Name | Class |
|---|---|
| Agroscope Liebefeld-Posieux Research Station ALP | OTHER |
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Dietary biomarkers are compounds in biofluids that directly reflect the intake of specific foods or food groups. Their exploration and use in the field of dietary assessments could provide an objective measure of actual intake complementing classical assessment methods (e.g. food frequency questionnaire, 24h recalls). To date, only a limited number of foods have been covered by validated biomarkers.
The study is part of the international project "The Food Biomarker Alliance (FOODBALL)". The study described here has been assigned to assess biomarkers of the intake of milk and cheese. Up to now, there is an evident lack of data on specific and validated biomarkers of milk and cheese (dairy products), which belong to the most relevant public health related foods in Europe. This study will further provide novel insights into the influence of fermentation of milk-based foods on metabolic effects and postprandial adaptations, which has not yet been studied in depth before using cheese as fermented product. Outcomes will support and expand earlier findings on correlation between the intake of fermented dairy products intake and human health.
This is an acute, randomized, controlled, cross-over study designed to identify dietary biomarkers of milk and cheese intake and to asses metabolic effects after the ingestion of a non-fermented product (milk) and a fermented product (cheese) in healthy subjects.
Twelve healthy participants (six women, six men) in fasted state will consume three different foods in a randomized order on three different study days. Two days prior to each dietary intervention, the run-in period is initiated, during which participants have to follow a restricted diet. Participants will receive a standardised meal for the last dinner during run-in phase. The same meal will be served on the day of the dietary intervention for lunch and for dinner (period of controlled diet). Before and after ingestion of the test foods, blood samples and urine samples will be collected (up to 6 hours). Additionally, 24h-samples will be collected. Primary outcomes (metabolites) will be measured in blood serum and plasma collected at 6 different time points and in urine collected at 7 different time points. Transcriptomics analysis will be performed on whole blood samples collected at 4 time points while clinical chemistry parameters will be assessed in blood samples withdrawn at 6 different time points.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cow´s milk (3.9% fat, pasteurized) | Experimental | Cow´s milk (3.9% fat, pasteurized) Single dose, 600 ml milk |
|
| Hard, yellow cheese | Experimental | Hard, yellow cheese Single dose, 100 g cheese + 500 ml water |
|
| Soy based drink | Active Comparator | Soy based drink Single dose, 600 ml soy drink (soy drink + plant based cream) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Cow´s milk (3.9% fat, pasteurized) | Other | 600 ml full fat milk (organic, pasteurized, 400 kcal) |
|
| Measure | Description | Time Frame |
|---|---|---|
| Identification of dietary biomarkers of cheese and milk intake | 24 hours |
| Measure | Description | Time Frame |
|---|---|---|
| Transcriptomics analyses / gene expression | 6 hours | |
| Blood cell count and cell type determination | 6 hours | |
| Glucose |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| François Pralong, MD | Contact | 004121 314 05 96 | francois.pralong@chuv.ch | |
| Linda Münger, PHD | Contact | 004158 463 83 77 | linda.muenger@agroscope.admin.ch |
| Name | Affiliation | Role |
|---|---|---|
| François Pralong, MD | CHUV | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Service of Endocrinology, Diabetes and Metabolism, University Hospital, CHUV | Recruiting | Lausanne | Canton of Vaud | 1011 | Switzerland |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32133503 | Derived | Pimentel G, Burnand D, Munger LH, Pralong FP, Vionnet N, Portmann R, Vergeres G. Identification of Milk and Cheese Intake Biomarkers in Healthy Adults Reveals High Interindividual Variability of Lewis System-Related Oligosaccharides. J Nutr. 2020 May 1;150(5):1058-1067. doi: 10.1093/jn/nxaa029. | |
| 28753012 | Derived |
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| ID | Term |
|---|---|
| D018955 | CD36 Antigens |
| D006244 | Hardness |
| ID | Term |
|---|---|
| D010980 | Platelet Membrane Glycoproteins |
| D008562 | Membrane Glycoproteins |
| D006023 | Glycoproteins |
| D006001 | Glycoconjugates |
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| hard, yellow cheese | Other | 100 g Swiss cheese (Le Gruyère medium ripe, 400 kcal) |
|
| Soy based drink | Other | 600 ml Soy drink (540 ml soy milk (232 kcal) supplemented with 60 ml soy and plant based cream (167 kcal) |
|
| 24 hours |
| Insulin | 24 hours |
| Triacylglycerides | 24 hours |
| Total cholesterol | 24 hours |
| HDL cholesterol | 24 hours |
| LDL cholesterol | 24 hours |
| Munger LH, Trimigno A, Picone G, Freiburghaus C, Pimentel G, Burton KJ, Pralong FP, Vionnet N, Capozzi F, Badertscher R, Vergeres G. Identification of Urinary Food Intake Biomarkers for Milk, Cheese, and Soy-Based Drink by Untargeted GC-MS and NMR in Healthy Humans. J Proteome Res. 2017 Sep 1;16(9):3321-3335. doi: 10.1021/acs.jproteome.7b00319. Epub 2017 Aug 10. |
| D002241 |
| Carbohydrates |
| D050612 | Fatty Acid Transport Proteins |
| D026901 | Membrane Transport Proteins |
| D002352 | Carrier Proteins |
| D011506 | Proteins |
| D000602 | Amino Acids, Peptides, and Proteins |
| D008565 | Membrane Proteins |
| D011956 | Receptors, Cell Surface |
| D011971 | Receptors, Immunologic |
| D051122 | Scavenger Receptors, Class B |
| D051116 | Receptors, Scavenger |
| D011973 | Receptors, LDL |
| D018110 | Receptors, Lipoprotein |
| D055595 | Mechanical Phenomena |
| D055585 | Physical Phenomena |