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

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dc.contributor.authorNolte Fong, Joy V.
dc.contributor.authorMiketinas, Derek
dc.contributor.authorMoore, Linda W.
dc.contributor.authorNguyen, Duc T.
dc.contributor.authorGraviss, Edward A.
dc.contributor.authorAjami, Nadim
dc.contributor.authorPatterson, Mindy A.
dc.creator.orcidhttps://orcid.org/0000-0001-5462-1396
dc.date.accessioned2023-03-13T18:36:21Z
dc.date.available2023-03-13T18:36:21Z
dc.date.issued2022
dc.description.abstractIndividual 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.en_US
dc.identifier.citationThis 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.en_US
dc.identifier.urihttps://hdl.handle.net/11274/14658
dc.identifier.urihttps://doi.org/10.3390/nu14020268
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.subjectResistant starchen_US
dc.subjectPotatoesen_US
dc.subjectMicrobiomeen_US
dc.subjectFaecalibacteriumen_US
dc.subjectPrecision nutritionen_US
dc.titlePrecision nutrition model predicts glucose control of overweight females following the consumption of potatoes high in resistant starchen_US
dc.typeArticleen_US

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