PREDICT 2: Personalized Responses to Dietary Composition Trial 2
1 other identifier
interventional
1,139
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable diabetes
Started Jun 2019
Typical duration for not_applicable diabetes
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 7, 2019
CompletedStudy Start
First participant enrolled
June 10, 2019
CompletedFirst Posted
Study publicly available on registry
June 12, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 31, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2021
CompletedJanuary 18, 2022
January 1, 2022
10 months
June 7, 2019
January 14, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
Gut microbiome species richness
Species count in fecal sample
1 Day
Lipids
Measurement of blood lipids
3 days
Glucose
Measurement of blood glucose
11 days
Sleep
Record of sleep pattern using a wearable device (i.e. fitness watch)
10 days
Physical activity
Record of physical activity using a wearable device (i.e. fitness watch)
10 days
Hunger and appetite assessment
Record of hunger and appetite patterns using a digital app
10 days
Secondary Outcomes (8)
Glucose metabolism
3 days
Dietary assessment
10 days
Anthropometry
1 day
Anthropometry
1 day
Anthropometry
1 day
- +3 more secondary outcomes
Other Outcomes (12)
Adherence (in sub-cohort)
12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Hunger (in sub-cohort)
12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
Weight (in sub-cohort)
12 months: Baseline, Weekly (0 to 4 weeks), monthly (5 to 24 weeks), 36 weeks, 52 weeks
- +9 more other outcomes
Study Arms (1)
Dietary Intervention
EXPERIMENTALDietary intervention using standardised test meals, on up to 8 days within the study period.
Interventions
To carry out an interventional dietary study using standardised meals to predict an individual's metabolic response to certain foods, using their gut microbiome, metabolic profile, and other measurable characteristics such as weight, sleep and exercise.
Eligibility Criteria
You may qualify if:
- Male or female
- 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.
You may not qualify if:
- 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 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.
- +8 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Zoe Global Limitedlead
- Massachusetts General Hospitalcollaborator
- Stanford Universitycollaborator
- King's College Londoncollaborator
- Tufts Universitycollaborator
Study Sites (1)
Zoe US Inc.
Boston, Massachusetts, 02118, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Tim Spector, Pr.
Zoe Global Limited
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 7, 2019
First Posted
June 12, 2019
Study Start
June 10, 2019
Primary Completion
March 31, 2020
Study Completion
December 1, 2021
Last Updated
January 18, 2022
Record last verified: 2022-01
Data Sharing
- IPD Sharing
- Will not share