Identify New Biomarkers in Blood or Urine After Consumption of Meat Protein, Dairy Protein and Grain Protein in Healthy Subjects.
Conditions
Keywords
Dietary protein, Biomarkers, filtration rate, urinary acid excretion
Brief summary
Results from observational studies suggest a small beneficial association between protein and blood pressure that may be mainly attributable to the intake of protein from plant sources. In epidemiological studies biomarkers of dietary intake are useful to estimate intake more reliably. Dietary studies using biomarkers of protein intake generally show stronger associations with health outcomes. However, data on biomarkers for specific types of protein (e.g. from dairy, meat, grain and legumes) are scarce. Therefore the purpose of this study is to identify new biomarkers for the intake of protein from meat, dairy and grain. In addition the secondary purpose is to investigate whether intake of protein from these sources influences kidney filtration rate and urinary acid excretion differentially.
Interventions
OTHERRun in diet
Fully controlled dietary period during 9 days. Participants will receive approximately 15 en% of protein. The amount of protein intake from dairy, meat, and grain will be equal to each other
OTHERHigh meat protein diet
Fully controlled diet during 7 days. Participants will consume 18 en% protein, mainly from meat.
OTHERHigh dairy protein diet
Fully controlled dietary intervention during 7 days. Participants will consume 20 en% protein. Mainly from dairy
OTHERHigh grain protein diet
Fully controlled dietary intervention for 7 days. Participants will consume 20 en% of protein. Mainly from grain
Sponsors
Top Institute Food and Nutrition
Wageningen University
Study design
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 40 Years
Healthy volunteers
Yes
Inclusion criteria
* Age 18-40 years * BMI between 18.5 and 30 kg/m2 * Healthy (As judged by the participant) * Written informed consent obtained
Exclusion criteria
* Unable or unwilling to comply with study procedures. * Unusual dietary patterns, including high alcohol intakes (≥ 2 glasses/day) and a vegetarian diet * Recent (\< 4 weeks) or current participation in a study with any investigational drug or dietary intervention * Usage of an energy restricted diet during the last two months * Weight loss or weight gain of 5 kg or more during the last two months * Smoking * Stomach or bowel diseases * Kidney disorders * Diabetes, thyroid disease, other endocrine disorders * Prevalent cardiovascular disease * Extreme sports (\>8h/ wk) * Usage of any prescribed medication except for oral contraceptives * Use of systemic antibiotics in the period of 3 month prior to the study * For women: pregnant or lactating * For women: not using oral contraceptives * For women: Unwilling to use oral contraceptives for consecutively for at least the total study duration * Liver function parameters (ALAT, ASAT, and γ-GT) and renal function parameters (Serum creatinin) outside the normal range
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Differences between dietary periods in concentrations of potential biomerkers in blood and urine | On the last day of every one week intervention period | Potential biomarkers that will be measured are urinary creatinin, sulphate, carnosine, 1-MH, 3-MH, taurine,14N/15N and creatin in blood. Furthermore, amino acid profiling will be done in blood and urine to detect differences between dietary periods |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Differences between dietary period in estimated renal filtration | blood and urine collection on the last day of each intervention period | Renal filtration will be estimated using bromide distribution in combination with bio-impedance measurement |
| Differences between dietary periods in urinary acid excretion | urine collection on the last day of each intervention period | — |
Countries
Netherlands
Outcome results
None listed