A fructose-based meal challenge to assess metabotypes and their metabolic risk profile: A randomized, crossover, controlled trial.

Nutrition

Singapore Institute of Food and Biotechnology Innovation, Agency for Science, Technology and Research and National University Health System, Singapore; Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address:

Published: October 2020

Objectives: The first aim of this study was to determine the metabolic type of individuals based on the postprandial metabolic response after the ingestion of a meal challenge that was high protein and either high glucose (high GI) or fructose (low GI). The second aim was to compare the baseline characteristics between the different metabolic types (metabotypes). The third aim was to assess whether the inclusion of fructose or glucose in a high-protein breakfast modulated the glucose, insulin, and TG response over a 4-h period.

Methods: The study included 46 Asian women with a body mass index between 17 and 28 kg/m in a randomized crossover design. Metabolic typing was based on the assessment of the postprandial glycemic, insulin and triacylglycerol (TG) response after the ingestion of two high-protein meal challenges either high in fructose or glucose. Baseline characteristics were compared between the different metabolic types. Baseline and 4-h postprandial blood samples were collected and glucose, insulin, and TG levels were analyzed. Cluster analysis was used to phenotype the participants in distinct groups. Baseline characteristics including anthropometry, glycemic, and lipid profiles and resting metabolic rate were compared among the metabolic types.

Results: Cluster analysis revealed that women could be grouped into three metabolic types based on postprandial glucose, insulin, and TG response after the fructose meal challenge: cluster 1 with an average glucose + high TG response (highTG; n = 12), cluster 2 with a high glucose + average TG response (highGLU; n = 8), and cluster 3 with an average glucose + average TG response (Avg; n = 26). Post hoc analysis revealed significantly greater waist-to-hip ratio and a worse lipid profile for the highTG cluster and a higher fasting blood glucose, body mass index, fat percentage, and hip circumference in the highGLU cluster.

Conclusions: Three metabolic types with a distinct metabolic response could be distinguished after a high fructose meal. The results suggest a different risk profile and may indicate why some people develop diabetes in an obesogenic environment. Improved metabolic-type assessments will enable us to develop and optimize nutritional and medical interventions for individuals with differing diabetes risk.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.nut.2020.110799DOI Listing

Publication Analysis

Top Keywords

metabolic types
16
meal challenge
12
high fructose
12
baseline characteristics
12
glucose insulin
12
metabolic
11
glucose
10
risk profile
8
randomized crossover
8
based postprandial
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!