Healthy Clinical Trial
Official title:
PREDICT 2: Personalized Responses to Dietary Composition Trial 2
Verified date | January 2022 |
Source | Zoe Global Limited |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Foods in the human diet can affect the development of diseases over time, such as diabetes or heart disease. This is because the amount and types of foods in the diet eat can affect a person's weight, and because different foods are metabolised (processed) by the body in different ways. Scientists have also found that the bacteria in the human gut (the gut microbiome) affect their metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect the levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often for too long, there is a greater chance of developing diseases such as diabetes and cardiovascular disease. The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in the human gut are found in everyone. This might mean that the best diet to prevent disease needs matching to a person's gut microbiome and it might be possible to find personalised foods or diets that will help reduce the chance of developing chronic disease as well as metabolic syndrome. The study investigators are recruiting volunteers aged 18-70 years to take part in a study that aims to answer the questions above. Participants will be asked to consume standardised meals on up to 8 days while wearing glucose monitors (Abbott Freestyle Libre) to measure their blood sugar levels. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record their appetite, food, physical activity and sleep using apps and wearable devices. They will be asked to collect a fecal and saliva sample before consuming the standardised meals, and to provide a fasted blood sample at the end of the study period.
Status | Completed |
Enrollment | 1139 |
Est. completion date | December 1, 2021 |
Est. primary completion date | March 31, 2020 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 70 Years |
Eligibility | Inclusion Criteria: - Male or female - 18-70 years of age (19 year age minimum in Alabama and Nebraska) - Body mass index (BMI) between 16.5 and 49.9 kg/m2. - Living in the continental USA. - Able and willing to comply with the study protocol and provide informed consent. Exclusion Criteria: - Refuse or are unable to provide informed consent to participate in the study. - Have ongoing, active inflammatory disease or condition e.g. Rheumatoid arthritis, systemic lupus erythematosus, polymyalgia and other connective tissue diseases. - Have had cancer in the last two years, excluding skin cancer. - Have been diagnosed with Inflammatory Bowel Disease (ulcerative colitis and Crohn's disease) or Celiac disease (gluten allergy), or any other long-term gastrointestinal disorder that would prevent the individual from safely eating normal US food. Irritable Bowel Syndrome is not an exclusion. - Have had bariatric or other major gastrointestinal surgery. - Have been medically advised that eating high-fat meals over a period of a few days might be dangerous. - Currently suffer from severe anemia or jaundice. - Have taken any of the following medications in the last three months: immunosuppressants (including oral steroids) or antiretroviral therapies or antibiotics (excluding topical antibiotics). If diagnosed with non-alcoholic fatty liver disease, use of any steatogenic medications (amiodarone or methotrexate) or insulin in the last 3 months - Have an uncontrolled intercurrent illness (e.g. hepatitis c, influenza) - Are using proton pump inhibitors ("PPI"s such as omeprazole and pantoprazole), unless they are able to stop two weeks before the start of the study and abstain from use during the study. - Have type 1 diabetes. - Have type 2 diabetes and are taking insulin or sulfonyurea medications (such as Diamicron (Gliclazide), Diamicron MR (Gliclazide), Amaryl (Glimepiride), Daonil (Gilbenclamide or Glyburide), Gibenese (Glipizide), Minodiab (Glipizide), Tolbutamide (Tolbutamide)). For clarity, people with type 2 diabetes can participate if they take metformin or gliptins. - Have type 2 diabetes and a fasting glucose level of >216mg/dL. These individuals wil be excluded whether or not they are on medication. - Started antidepressant medication within the last 3 months, or are currently suffering from acute clinically diagnosed depression which is not well controlled. - Have had a heart attack (myocardial infarction) or stroke in the last 6 months. - Are pregnant or breastfeeding, have given birth in the last three months, or are planning to be pregnant in the next 3 months. - Diagnosed with an eating disorder (e.g. anorexia nervosa or bulimia nervosa) - Are vegan, or unwilling to consume foods that are part of the study. - Do not have a mobile phone capable of running the Zoe study/results apps, or are unable to use their phone to operate the apps. As a consequence of this exclusion, all participants must be able to read and write in English, as the app is only available in English. - Are unable to have continuous access to their smartphone or unable to wear the activity tracker on their arm for the duration of the study, e.g. because their work will not allow it. - Have a known allergy to adhesives like that used to affix the continuous glucose monitor. - Are unable or unwilling to visit a Quest center to provide fasting blood samples. - Do not have access to wifi or unlimited mobile data to allow them to download the app for free and upload data during the study. - Do not have a freezer to store study-related foods required for the study. |
Country | Name | City | State |
---|---|---|---|
United States | Zoe US Inc. | Boston | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
Zoe Global Limited | King's College London, Massachusetts General Hospital, Stanford University, Tufts University |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Adherence (in sub-cohort) | Self-reported in-app question on daily frequency of adherence (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Hunger (in sub-cohort) | Self-reported in-app question on hunger levels (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Weight (in sub-cohort) | Self-reported in-app question on weight (lbs) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Bristol Stool Category (in sub-cohort) | Self-reported in-app Bristol Stool chart questoin (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Bowel Frequency (in sub-cohort) | Self-reported in-app question on bowel frequency | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Energy (in sub-cohort) | Self-reported in-app question on energy levels (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Alertness (in sub-cohort) | Self-reported in-app question on alertness (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Stress (in sub-cohort) | Self-reported in-app question on stress (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Mood (in sub-cohort) | Self-reported in-app question on mood (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Activity (in sub-cohort) | Self-reported in-app question on daily frequency of activity (categorical) | 12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks | |
Other | Dietary assessment | Diet history and portion size questionnaire about the preceding month, using the Diet History Questionnaire 3 from National Cancer Institute. | 12 months: 24 weeks, 52 weeks | |
Other | Gut microbiome species richness | Species count in fecal sample | 12 months: 24 weeks, 52 weeks | |
Primary | Gut microbiome species richness | Species count in fecal sample | 1 Day | |
Primary | Lipids | Measurement of blood lipids | 3 days | |
Primary | Glucose | Measurement of blood glucose | 11 days | |
Primary | Sleep | Record of sleep pattern using a wearable device (i.e. fitness watch) | 10 days | |
Primary | Physical activity | Record of physical activity using a wearable device (i.e. fitness watch) | 10 days | |
Primary | Hunger and appetite assessment | Record of hunger and appetite patterns using a digital app | 10 days | |
Secondary | Glucose metabolism | C-peptide | 3 days | |
Secondary | Dietary assessment | Weighed food log | 10 days | |
Secondary | Anthropometry | Weight (kg) | 1 day | |
Secondary | Anthropometry | Height (cm) | 1 day | |
Secondary | Anthropometry | Hip and waist circumference (cm) | 1 day | |
Secondary | Metabolomics by NMR analysis | Lipoprotein concentration (mol/L), lipoprotein composition (mol/L), glycoprotein acetyl concentration (mol/L), ketone bodies concentration (mol/L) | 1 day | |
Secondary | Dietary assessment | Diet history and portion size questionnaire about the preceding month, using the Diet History Questionnaire 3 from National Cancer Institute. | 1 month | |
Secondary | Covid-19 symptom assessment | Self-reported demographic and physical health symptoms, or lack thereof, reported on a daily basis. | 6 months |
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