Personalised Responses to Dietary Composition Trial (PREDICT)
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|ClinicalTrials.gov Identifier: NCT03479866|
Recruitment Status : Recruiting
First Posted : March 27, 2018
Last Update Posted : February 9, 2021
The foods we eat - our diet - can affect whether we develop diseases during our lives, such as diabetes or heart disease. This is because the amount and types of foods we eat can affect our weight, and because different foods are metabolised (processed) by the body in different ways.
Scientists have also found that the bacteria in our guts (the gut microbiome) affects our metabolism, weight and health and that, together with a person's diet and metabolism, could be used to predict appetite and how meals affect levels of sugar (glucose) and fats (lipids) found in blood after eating. If blood sugar and fat are too high too often, there's a greater chance of developing diseases such as diabetes.
The gut microbiome is different in different people. Only 10-20% of the types of bacteria found in our guts 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 years or over from the TwinsUK cohort to take part in a study that aims to answer the questions above. The participants will need to come in for a clinical visit where they will give blood, stool, saliva and urine samples. The participants will also be given a standardised breakfast and lunch and fitted with a glucose monitor (Abbott Freestyle Libre-CE marked) to monitor their blood sugar levels. After the visit, the participants will be asked to eat standardised meals at home for breakfast for a further 12 days. Participants will also be required to prick their fingers at regular intervals to collect small amounts of blood, and to record constantly their appetite, food, physical activity and sleep using apps and wearable devices.
|Condition or disease||Intervention/treatment||Phase|
|Diabetes Heart Diseases Diet Habit Diet Modification Microbial Colonization Healthy Obesity Metabolism||Other: Dietary intervention||Not Applicable|
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||2500 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Primary Purpose:||Basic Science|
|Official Title:||Predicting Inter-individual Differences in Biochemical and Behavioral Response to Meals With Different Nutritional Compositions Using Metabolomic and Microbiome Profiling.|
|Actual Study Start Date :||June 4, 2018|
|Estimated Primary Completion Date :||May 4, 2023|
|Estimated Study Completion Date :||May 4, 2023|
Experimental: Dietary intervention
2 week dietary intervention using standardized test meals
Other: Dietary intervention
To carry out an interventional dietary study using standardised meals to predict for an individual their metabolic response to certain foods using the gut microbiome and their metabolic profile. Responses will include post-prandial appetite, levels of satiety, circulating glucose, insulin, ketone bodies and lipid levels.
- Gut microbiome profile [ Time Frame: 1-2 days ]Assessment of participants' gut microbiome
- Lipids [ Time Frame: 1 day to 2 weeks ]Measurement of blood lipids
- Glucose [ Time Frame: 2 weeks ]Measurement of blood Glucose
- Sleep [ Time Frame: 2 weeks ]Record of sleep pattern using a wearable device (i.e. fitness watch)
- Physical activity [ Time Frame: 2 weeks ]Record of physical activity using a wearable device (i.e. fitness watch)
- Hunger and appetite assessment [ Time Frame: 2 weeks ]Record of hunger and appetite patterns using a digital app
- Inflammation [ Time Frame: 1 day ]IL-6
- Glucose metabolism [ Time Frame: 2 weeks ]C-peptide
- Metabolomics [ Time Frame: 1 day ]NMR analysis of a panel of 220 metabolites
- Systolic and Diastolic Blood pressure [ Time Frame: 6 hours ]Clinic Systolic and Diastolic Blood Pressure
- Body composition [ Time Frame: 1 day ]Visceral fat in kg
- Digestive enzymes [ Time Frame: 1 day ]Salivary amylase concentration
- Pulse wave velocity [ Time Frame: 1 day ](subgroup n=50) measure of pulse wave velocity using carotid and femoral artery
- Carotid intima-media thickness [ Time Frame: 1 day ](subgroup n=50) Measure of carotid intima-media thickness using ultrasound
- Fat quantification [ Time Frame: 1 day ](subgroup n=50) Quantification of liver, visceral and subcutaneous adipose tissue from XMR
- Carotid plaque [ Time Frame: 1 day ](subgroup n=50) Grading of carotid plaque using ultrasound
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03479866
|Contact: Sarah Berry, PhD||020 7848 email@example.com|
|King's College London||Recruiting|
|London, England, United Kingdom, SE1 7EH|
|Contact: Sarah Berry 020 7848 4088 firstname.lastname@example.org|
|Principal Investigator:||Tim Spector||King's College London|