Diabetes Mellitus, Type 2 Clinical Trial
— ODAOfficial title:
Towards Objective Dietary Assessment in Large-scale Studies
NCT number | NCT05887544 |
Other study ID # | M244 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | June 1, 2023 |
Est. completion date | March 19, 2024 |
Verified date | June 2024 |
Source | University of Copenhagen |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 4 |
Est. completion date | March 19, 2024 |
Est. primary completion date | March 19, 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 75 Years |
Eligibility | Inclusion Criteria: - Newly diagnosed type 2 diabetes (within the last 5 years from study start) (self-reported) - 18.5-35.0 kg/m2 BMI - More than 1cm of natural hair on the head - Have not dyed their hair in the previous 6 months - Willing to record dietary intake up to 9 days - Willing to have blood samples drawn two times - Willing to collect up to two 24-hour urine samples and 7 spot urine samples at home and be able to store them in their own freezer in provided tubes and boxes throughout the one-month study - Have no intention to radically change dietary and physical activity habits during the study period - Owning a smartphone with internet connection - Can speak and read Danish Exclusion Criteria: - Pregnant or lactating women - Diagnosed with any chronic or communicable diseases including liver diseases (e.g., active hepatitis B and C infections), liver cirrhosis, severe psychiatric illness or any other clinical condition that makes the subject ineligible according to the clinically responsible medical doctor (except type 2 diabetes) (self-reported). - History of cancer within the past 5 years (except adequately-treated localized basal cell skin cancer or in situ uterine cervical cancer) - Diagnosed with any CVD event (e.g., myocardial infarction, revascularization procedure or stroke) within the past 2 years - Unintentional weight loss >20% during the last 6 months - Regular intake of prescription medication (except diabetes medication, blood pressure-lowering medication, cholesterol-lowering medication, mild antidepressants or contraceptive pills) - Concurrent participation in another trial - Not willing to sign the Informed consent form (ICF) - Not willing to comply with the all the trial procedures |
Country | Name | City | State |
---|---|---|---|
Denmark | Department of Nutrition, Exercise and Sports, University of Copenhagen | Copenhagen | Frederiksberg C |
Lead Sponsor | Collaborator |
---|---|
University of Copenhagen | Aarhus University Hospital, University of Aarhus |
Denmark,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | 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: Compare the blood (serum) sample at study start with the 7 spot urine samples Compare food intake biomarkers from the 24-hour urine samples with a single spot urine sample using the 1 day food diary completed on the same day as reference for true intake Compare food intake biomarkers from a single spot urine sample with a blood sample, both from the start or end of the study Compare metabolites from blood samples at study start with blood samples at end of the study period |
1 day or 1 month | |
Primary | 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 | |
Secondary | 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). |
1 month | |
Secondary | 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 | |
Secondary | 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 |
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