Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch
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 recommendatio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Nutrients |
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| Online Access: | https://www.mdpi.com/2072-6643/14/2/268 |
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| author | Joy V. Nolte Fong Derek Miketinas Linda W. Moore Duc T. Nguyen Edward A. Graviss Nadim Ajami Mindy A. Patterson |
| author_facet | Joy V. Nolte Fong Derek Miketinas Linda W. Moore Duc T. Nguyen Edward A. Graviss Nadim Ajami Mindy A. Patterson |
| author_sort | Joy V. Nolte Fong |
| collection | DOAJ |
| description | 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/m<sup>2</sup>] × 40.66)—(insoluble fiber [g] × 49.35) + (<i>Bacteroides</i> [RA] × 8.69)—(<i>Faecalibacterium</i> [RA] × 73.49)—(<i>Parabacteroides</i> [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. |
| first_indexed | 2024-03-10T00:48:35Z |
| format | Article |
| id | doaj.art-ff3aa5b799a34ee8a2cc08e74df28a71 |
| institution | Directory Open Access Journal |
| issn | 2072-6643 |
| language | English |
| last_indexed | 2024-03-10T00:48:35Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nutrients |
| spelling | doaj.art-ff3aa5b799a34ee8a2cc08e74df28a712023-11-23T14:56:41ZengMDPI AGNutrients2072-66432022-01-0114226810.3390/nu14020268Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant StarchJoy V. Nolte Fong0Derek Miketinas1Linda W. Moore2Duc T. Nguyen3Edward A. Graviss4Nadim Ajami5Mindy A. Patterson6Department of Nutrition Sciences, Texas Woman’s University, Houston, TX 77030, USADepartment of Nutrition Sciences, Texas Woman’s University, Houston, TX 77030, USADepartment of Surgery, Houston Methodist Hospital, Houston, TX 77030, USADepartment of Pathology and Genomic Medicine, Houston Methodist Research Institute, Houston, TX 77030, USADepartment of Surgery, Houston Methodist Hospital, Houston, TX 77030, USADepartment of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USADepartment of Nutrition Sciences, Texas Woman’s University, Houston, TX 77030, USAIndividual 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/m<sup>2</sup>] × 40.66)—(insoluble fiber [g] × 49.35) + (<i>Bacteroides</i> [RA] × 8.69)—(<i>Faecalibacterium</i> [RA] × 73.49)—(<i>Parabacteroides</i> [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.https://www.mdpi.com/2072-6643/14/2/268resistant starchpotatoesmicrobiome<i>Faecalibacterium</i>precision nutrition |
| spellingShingle | Joy V. Nolte Fong Derek Miketinas Linda W. Moore Duc T. Nguyen Edward A. Graviss Nadim Ajami Mindy A. Patterson Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch Nutrients resistant starch potatoes microbiome <i>Faecalibacterium</i> precision nutrition |
| title | Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch |
| title_full | Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch |
| title_fullStr | Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch |
| title_full_unstemmed | Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch |
| title_short | Precision Nutrition Model Predicts Glucose Control of Overweight Females Following the Consumption of Potatoes High in Resistant Starch |
| title_sort | precision nutrition model predicts glucose control of overweight females following the consumption of potatoes high in resistant starch |
| topic | resistant starch potatoes microbiome <i>Faecalibacterium</i> precision nutrition |
| url | https://www.mdpi.com/2072-6643/14/2/268 |
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