Authors
Helena Mendes-Soares, Tali Raveh-Sadka, Shahar Azulay, Kim Edens, Yatir Ben-Shlomo, Yossi Cohen, Tal Ofek, Davidi Bachrach, Josh Stevens, Dorin Colibaseanu, Lihi Segal, Purna Kashyap, Heidi Nelson
Publication date
2019/2/1
Journal
JAMA network open
Volume
2
Issue
2
Pages
e188102-e188102
Publisher
American Medical Association
Description
Importance
Emerging evidence suggests that postprandial glycemic responses (PPGRs) to food may be influenced by and predicted according to characteristics unique to each individual, including anthropometric and microbiome variables. Interindividual diversity in PPGRs to food requires a personalized approach for the maintenance of healthy glycemic levels.
Objectives
To describe and predict the glycemic responses of individuals to a diverse array of foods using a model that considers the physiology and microbiome of the individual in addition to the characteristics of the foods consumed.
Design, Setting, and Participants
This cohort study using a personalized predictive model enrolled 327 individuals without diabetes from October 11, 2016, to December 13, 2017, in Minnesota and Florida to be part of a study lasting 6 days. The study measured anthropometric variables, described the gut microbial composition …
Scholar articles
H Mendes-Soares, T Raveh-Sadka, S Azulay, K Edens… - JAMA network open, 2019