Personalized Responses to Dietary Composition Trial 3

Summary

The PREDICT 3 study will build on previous research in over 2,000 individuals to further refine machine learning models that predict individual responses to foods, with the aim of advancing precision nutrition science and individualized dietary advice. The study incorporates both standardized and controlled dietary intervention, for the purpose of testing postprandial responses to specific mixed meals, in addition to a free-living period with a dietary record for measuring responses to a large variety of meals consumed in a realistic context, where the role of external factors (e.g. exercise, sleep, time of day) on postprandial responses may be determined. For the first time this PREDICT study is built on top of a commercial product which will allow access to a much larger group of participants who are already collecting large amounts of data through digital and biochemical devices that can contribute to science.

Conditions

• Diabetes
• Heart Diseases
• Diet Habit
• Diet Modification
• Healthy
• Obesity
• Metabolism
• Microbial Colonization

Interventions

OTHER

Dietary Intervention

To carry out a dietary intervention using standardized test meals, where the participant's postprandial response to the meal is measured and is used to predict their postprandial responses to other foods, along with input variables including metabolic profile, anthropometry, sleep and exercise.

Sponsors & Collaborators

• Massachusetts General Hospital

  collaborator OTHER

• Stanford University

  collaborator OTHER

• Harvard School of Public Health (HSPH)

  collaborator OTHER

• Zoe Global Limited

  lead OTHER

Principal Investigators

• Tim Spector, PhD · Zoe Global Limited

Study Design

Allocation

NA

Purpose

PREVENTION

Masking

NONE

Model

SINGLE_GROUP

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2020-07-20

Primary Completion

2030-01-01

Completion

2030-01-01

Countries

• United States
• United Kingdom

Study Locations