Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Aarhus University Hospital | OTHER |
| University of Aarhus | OTHER |
Not provided
Not provided
Not provided
Not provided
Enabling an objective measure of diet, covering individual foods as well as different dietary patterns, in large-scale studies has great potential; this would for instance improve our understanding of the role of diet in long-term disease prevention and care in people with type 2 diabetes.
The overarching aim of this study is to develop a framework from which dietary intake can be assessed, both as single foods and dietary patterns, in cohort studies among people with type 2 diabetes. This study is performed to assess which collection strategy best reflects long-term dietary intake and to weigh this up against feasibility and costs in large-scale studies.
This is a 4-week observational study that will be carried out in adults with newly diagnosed type 2 diabetes living in Denmark.
The aim is to recruit up to 60 participants aged 18-75. The participants will be asked to record and weight their habitual food intake on 8 days spread out within a one-month time period. They will also be asked to complete one 24-hour urine collection the day before study start and provide 7 morning spot urine samples on the subsequent mornings after filling in the food diary.
At the start of the study period participants will undergo a DXA scan and have a blood sample taken. At the end of the study period a second blood sample will be drawn and a hair sample will also be collected. Incomplete 24-hour collections will be judged based on predicted 24-hour creatinine excretion from lean body mass and actual creatinine excretion being in the interval from 0.8-1.2, which corresponds to ~20% on each side of the expected excretion. Participants falling outside this interval will be asked to complete a new 24-hour urine sample. As the primary aim of this study is validation, it is important that the samples provided are as complete as possible.
In the one-month period between visits to the study center, a subset of volunteer participants (up to 20 participants) will be asked to consume extra portions of fermented dairy products (skyr, ymer and yogurt) 1-2 days before the spot urine sample to be able to validate markers for specific foods. All participants in the subcohort will consume each of the foods one time before a spot urine and one time be asked to abstain intake of dairy products as a control. Foods will be provided to the participants.
Note: the study has ended with fewer participants than expected due to problems with recruitment. We will analyse these samples and work on samples from another study to answer our initial research questions.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Type 2 diabetes | Overall study population. In addition, a subset of volunteer participants (up to 20 participants) will be asked to consume extra portions of fermented dairy products (skyr, ymer and yogurt) 1-2 days before the spot urine sample to be able to validate markers for specific foods. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Exposure: Plant-based diet pattern | Other | From dietary records average intake across food groups will be calculated and a plant-based diet index score will be generated to group participants. |
| Measure | Description | Time Frame |
|---|---|---|
| Concentration of Indole-3-lactic acid in blood | Difference in beta-coefficient of the concentration of Indole-3-lactic acid (https://hmdb.ca/metabolites/HMDB0000671) in blood measured at the end of the study between those consuming fermented dairy products compared to participants not consuming fermented dairy products. A linear regression model will be used with Indole-3-lactic acid concentration as the outcome and consuming vs not consuming fermented dairy products as the exposure. Indole-3-lactic acid in blood will be analysed using an ultra-performance liquid chromatography (UPLC) system coupled to a quadrupole time-of-flight mass spectrometer (ViON QTOF, Waters Corporation, Manchester, UK). | 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| Concentration of Indole-3-lactic acid in urine | Difference in beta-coefficient of the concentration of Indole-3-lactic acid (https://hmdb.ca/metabolites/HMDB0000671) in the average of 7 spot urine samples between those consuming fermented dairy products compared to participants not consuming fermented dairy products. A linear regression model will be used with Indole-3-lactic acid concentration as the outcome and consuming vs not consuming fermented dairy products as the exposure. Indole-3-lactic acid in urine will be analysed using an ultra-performance liquid chromatography (UPLC) system coupled to a quadrupole time-of-flight mass spectrometer (ViON QTOF, Waters Corporation, Manchester, UK). |
| Measure | Description | Time Frame |
|---|---|---|
| Exploratory analyses | Metabolite signatures of a plant-based dietary pattern from one morning spot urine vs average of 7 morning spot urine samples. The study will investigate whether the classification of participants into groups of adherence to a plant-based diet is significantly more accurate for a metabolite signature of a plant-based diet based on the average of 7 morning spot urine samples than for a metabolite signature based on a single morning spot urine sample. A similar approach will be used to:
|
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Adults with newly diagnosed type 2 diabetes that are otherwise generally health and willing to participate in the study.
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Lars O Dragsted, PhD | University of Copenhagen | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Nutrition, Exercise and Sports, University of Copenhagen | Copenhagen | Frederiksberg C | 1958 | Denmark |
Once the project is finished, data will by fully anonymised and shared with other researchers.
After completion of the main study project.
Will be uploaded on University of Copenhagen data sharing platform. More information to come.
Not provided
Not provided
| ID | Term |
|---|---|
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
| ID | Term |
|---|---|
| D015014 | Yogurt |
| D005502 | Food |
| ID | Term |
|---|---|
| D043302 | Cultured Milk Products |
| D008892 | Milk |
| D001628 | Beverages |
| D000066888 | Diet, Food, and Nutrition |
Not provided
Not provided
Not provided
Not provided
Not provided
Blood, urine and hair samples.
|
| Intervention: Fermented dairy products | Other | 1000g of the product to be consumed 1-2 days prior to spot urine sample. |
|
|
| Exposure: individual foods and food groups | Other | From the dietary records, average intake of specific foods or food groups will be calcualted. |
|
|
| 1 month |
| Concentration of 3-Phenyllactic acid in blood | Difference in beta-coefficient of the concentration of 3-Phenyllactic acid (https://hmdb.ca/metabolites/HMDB0000779) in blood measured at the end of the study between those consuming fermented dairy products compared to participants not consuming fermented dairy products. A linear regression model will be used with 3-Phenyllactic acid concentration as the outcome and consuming vs not consuming fermented dairy products as the exposure. Indole-3-lactic acid in blood will be analysed using an ultra-performance liquid chromatography (UPLC) system coupled to a quadrupole time-of-flight mass spectrometer (ViON QTOF, Waters Corporation, Manchester, UK). | 1 month |
| Concentration of 3-Phenyllactic acid in urine | Difference in beta-coefficient of the concentration of 3-Phenyllactic acid (https://hmdb.ca/metabolites/HMDB0000779) in the average of 7 spot urine samples between those consuming fermented dairy products compared to participants not consuming fermented dairy products. A linear regression model will be used with 3-Phenyllactic acid concentration as the outcome and consuming vs not consuming fermented dairy products as the exposure. Indole-3-lactic acid in urine will be analysed using an ultra-performance liquid chromatography (UPLC) system coupled to a quadrupole time-of-flight mass spectrometer (ViON QTOF, Waters Corporation, Manchester, UK). | 1 month |
| 1 day or 1 month |
| D004700 | Endocrine System Diseases |
| D010829 |
| Physiological Phenomena |
| D000074421 | Fermented Foods |
| D003611 | Dairy Products |
| D019602 | Food and Beverages |