Precision nutrition model predicts glucose control of overweight females following the consumption of potatoes high in resistant starch

Date

2022

Authors

Nolte Fong, Joy V.
Miketinas, Derek
Moore, Linda W.
Nguyen, Duc T.
Graviss, Edward A.
Ajami, Nadim
Patterson, Mindy A.

Journal Title

Journal ISSN

Volume Title

Publisher

MDPI

Abstract

Individual glycemic responses following dietary intake result from complex physiological processes, and can be influenced by physical properties of foods, such as increased resistant starch (RS) from starch retrogradation. Predictive equations are needed to provide personalized dietary recommendations to reduce chronic disease development. Therefore, a precision nutrition model predicting the postprandial glucose response (PPGR) in overweight women following the consumption of potatoes was formulated. Thirty overweight women participated in this randomized crossover trial. Participants consumed 250 g of hot (9.2 g RS) or cold (13.7 g RS) potatoes on two separate occasions. Baseline characteristics included demographics, 10-day dietary records, body composition, and the relative abundance (RA) and α-diversity of gut microbiota. Elastic net regression using 5-fold cross-validation predicted PPGR after potato intake. Most participants (70%) had a favorable PPGR to the cold potato. The model explained 32.2% of the variance in PPGR with the equation: 547.65 × (0 [if cold, high-RS potato], ×1, if hot, low-RS potato]) + (BMI [kg/m2] × 40.66)—(insoluble fiber [g] × 49.35) + (Bacteroides [RA] × 8.69)—(Faecalibacterium [RA] × 73.49)—(Parabacteroides [RA] × 42.08) + (α-diversity × 110.87) + 292.52. This model improves the understanding of baseline characteristics that explain interpersonal variation in PPGR following potato intake and offers a tool to optimize dietary recommendations for a commonly consumed food.

Description

Article originally published by Nutrients, 14(2), 268. Published online 2022. https://doi.org/10.3390/nu14020268

Keywords

Resistant starch, Potatoes, Microbiome, Faecalibacterium, Precision nutrition

Citation

This is a published version of an article that is available at https://doi.org/10.3390/nu14020268. Recommended citation: Nolte Fong, J. V., Miketinas, D., Moore, L. W., Nguyen, D. T., Graviss, E. A., Ajami, N., & Patterson, M. A. (2022). Precision nutrition model predicts glucose control of overweight females following the consumption of potatoes high in resistant starch. Nutrients, 14(2), 268. This item has been deposited in accordance with publisher copyright and licensing terms and with the author’s permission.