scholarly journals Precision Nutrition Model Predicts Glucose Control of Overweight Females following the Consumption of Potatoes High in Resistant Starch

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 268
Author(s):  
Joy V. Nolte Fong ◽  
Derek Miketinas ◽  
Linda W. Moore ◽  
Duc T. Nguyen ◽  
Edward A. Graviss ◽  
...  
Keyword(s):  
Resistant Starch ◽  
Postprandial Glucose ◽  
Dietary Recommendations ◽  
Glucose Response ◽  
Overweight Women ◽  
Physiological Processes ◽  
Α Diversity ◽  
Dietary Records ◽  
Baseline Characteristics ◽  
Trial Participants

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.

scholarly journals Faecalibacterium predicts postprandial glucose control following potatoes in overweight females

2021 ◽  
Author(s):  
Joy Nolte Fong ◽  
Derek Miketinas ◽  
Linda W. Moore ◽  
Duc T. Nguyen ◽  
Edward A. Graviss ◽  
...  
Keyword(s):  
Postprandial Glucose ◽  
Dietary Recommendations ◽  
Glucose Response ◽  
Overweight Women ◽  
Physiological Processes ◽  
Metabolic Outcomes ◽  
Α Diversity ◽  
Dietary Records ◽  
Baseline Characteristics ◽  
Insoluble Fiber

Abstract Background: 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 retrogradation of starch upon cooling after cooking. Predictive equations are needed to provide personalized recommendations for those individuals most at risk for poor metabolic outcomes. Methods: Thirty overweight women with no comorbid conditions participated in this randomized crossover trial, in which the women consumed 250g of hot (9.2 g RS) or cold (13.7 g RS) potatoes. 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 postprandial glucose response (PPGR; incremental AUC0-120min) following the potatoes. Results: Thirty participants (29.6 ± 6.0 yrs; BMI 32.8 ± 3.7 kg/m2) participated in this trial. Most women (70%) showed a favorable PPGR to the cold potato. The model explained 32.2% of the variance in iAUC0-120min glucose with the equation: 547.65 x (0 [if cold potato], x 1 [if hot potato]) + (BMI[kg/m2] x 40.66) - (insoluble fiber[g] x 49.35) + (Bacteroides[RA] x 8.69) - (Faecalibacterium[RA] x 73.49) - (Parabacteroides[RA] x 42.08) + (α-diversity x 110.87) + 292.52.Conclusion: This model improves 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. Larger studies are warranted to expand generalizability and application of the equation. Trial Registration: The National Clinical Trials number is NCT03310476, and this study was registered with clinicaltrials.gov on Oct 16, 2017.

scholarly journals Effect of resistant starch in rice on postprandial glucose response and appetite in humans

2011 ◽  
Vol 25 (S1) ◽  
Author(s):  
Yu‐Ting Chiu ◽  
Justin Kai Iwasaki ◽  
Jonathan Valdez ◽  
Maria L. Stewart
Keyword(s):  
Resistant Starch ◽  
Postprandial Glucose ◽  
Glucose Response

scholarly journals Breakfast Protein Source Does Not Influence Postprandial Appetite Response and Food Intake in Normal Weight and Overweight Young Women

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Christina M. Crowder ◽  
Brianna L. Neumann ◽  
Jamie I. Baum
Keyword(s):  
Metabolic Response ◽  
Postprandial Glucose ◽  
Normal Weight ◽  
Protein Source ◽  
Glucose Response ◽  
Overweight Women ◽  
Lower Glucose ◽  
Dietary Record ◽  
Daily Energy ◽  
The Impact

Breakfasts higher in protein lead to a greater reduction in hunger compared to breakfasts higher in carbohydrate. However, few studies have examined the impact of higher protein breakfasts with differing protein sources. Our objective was to determine if protein source (animal protein (AP) versus plant protein (PP)) influences postprandial metabolic response in participants consuming a high protein breakfast (~30% energy from protein). Normal weight (NW;n=12) and overweight women (OW;n=8) aging 18–36 were recruited to participate. Participants completed two visits in a randomized, cross-over design with one week between visits. Subjects had 15 minutes to consume each breakfast. Blood glucose and appetite were assessed at baseline, 15, 30, 45, 60, and 120 minutes postprandial. Participants kept a 24-hour dietary record for the duration of each test day. No difference was found between NW and OW participants or breakfasts for postprandial appetite responses. AP had a significantly lower glucose response at 30 minutes compared with PP (−11.6%; 127 ± 4 versus 112 ± 4 mg/dL;P<0.05) and a slower return to baseline. There was no difference in daily energy intake between breakfasts. These data suggest that protein source may influence postprandial glucose response without significantly impacting appetite response in breakfast consumers.

PREPARATION AND CHARACTERISATION OF ACETYLATED WHEAT STARCH SUPPORTING FOR DIABETES TREATMENT

2018 ◽  
Vol 8 (5) ◽  
pp. 78-84
Author(s):  
Uyen Tran Thi Ngoc ◽  
Nam Nguyen Khac ◽  
Dung Tran Huu
Keyword(s):  
Physicochemical Properties ◽  
Resistant Starch ◽  
Starch Content ◽  
Degree Of Substitution ◽  
Wheat Starch ◽  
Diabetes Treatment ◽  
Glucose Response ◽  
Swelling Capacity ◽  
Wheat Starches

Background: The purpose of the study was to prepare acetylated wheat starches which have amylase hydrolysis resistant capacity to use as functional food supporting for diabetes treatment. Method: Acetate wheat starches were prepared by acetylation reaction of native wheat starch with different mole ratios of acetic anhydride. These starches were determined for the physicochemical properties by 1H-NMR, SEM, X-ray, DSC, solubility and swelling capacity, the resistant capacity by amylase hydrolysis in-vitro. Results: Acetate wheat starches were prepared successfully with the increase in acetyl content and degree of substitution corresponding with the increase of anhydride acetic, which resulted in the change of physicochemical properties of the wheat starches, including constitution, solubility, swelling capacity and contributed to the increase in resistant starch content in the acetate wheat starches. The AC150-9 containing 2.42% acetyl with degree of substitution 0,094 and resistant starch 32,11% is acceptable by FDA guideline about food safety. Conclusion: Acetate wheat starches contain low rate of digestive starch, while containing a higher proportion of resistant starch than natural wheat starch, possessing a high resistance to amylase activities. Thus, it is hope that this kind of starch to control the rapid increase of postprandual blood glucose response for diabetes treatments effectively. Key words: Acetate wheat starch, substitution, DS, RS, amylase

The clinical utility of the glycemic index and its application to mixed meals

1991 ◽  
Vol 69 (1) ◽  
pp. 100-107 ◽  
Author(s):  
Clarie B. Hollenbeck ◽  
Ann M. Coulston
Keyword(s):  
Glycemic Index ◽  
Clinical Utility ◽  
Postprandial Glucose ◽  
Dependent Diabetes Mellitus ◽  
Glycemic Response ◽  
Glucose Response ◽  
Number Of Factors ◽  
Carbohydrate Intolerance ◽  
Low Glycemic Index

A classification of carbohydrate-containing foods based on their glycemic response to 50-g carbohydrate portions has recently been developed. The relative glycemic potency of many of these carbohydrate-containing foods have been compared, and these data have been published in the form of a glycemic index. It has been suggested that meals containing low glycemic index foods will result in a lower postprandial glucose response than meals with a higher glycemic index. However, whether or not these data will lead to a clinically useful reduction in postprandial hyperglycemia in individuals with carbohydrate intolerance remains controversial. In this review, we will try to delineate why we believe that the glycemic index, as currently developed, may be a specious issue. In addition, we will briefly discuss a number of factors that may explain the apparent discrepancy in viewpoints on this issue.Key words: glycemic index, noninsulin-dependent diabetes mellitus, glycemic response, dietary carbohydrate.

scholarly journals ASPECTOS FÍSICO-QUÍMICOS E FISIOLÓGICOS DO AMIDO RESISTENTE

2005 ◽  
Vol 23 (1) ◽  
Author(s):  
SILVANA MAGALHÃES SALGADO ◽  
ZELYTA PINHEIRO DE FARO ◽  
NONETE BARBOSA GUERRA ◽  
ALDA VERÔNICA SOUZA LIVERA
Keyword(s):  
Fatty Acids ◽  
Gastrointestinal Tract ◽  
Health Professionals ◽  
Resistant Starch ◽  
Degradation Products ◽  
Physiological Effects ◽  
Human Beings ◽  
Dietary Recommendations ◽  
Healthy Human ◽  
Physical Chemical

A presente revisão teve por objetivo estudar os fatores que influem na formação do amido resistente (AR) e sua proporção nos alimentos, visando auxiliar os profissionais da área de saúde no estabelecimento de recomendações dietéticas. O termo amido resistente é definido como a soma do amido e produtos da sua degradação que não são digeridos pelas enzimas humanas de indivíduos saudáveis. O amido resistente foi abordado quanto a sua classificação e formação, bem como seus efeitos fisiológicos sobre o metabolismo intestinal, glicídico e lipídico. Verificou-se que não obstante comprovação das propriedades prebióticas do AR, os mecanismos sistêmicos dos ácidos graxos de cadeia curtos produzidos durante a fermentação e os efeitos sobre as respostas glicêmicas e lipídicas ainda são conflitantes. PHYSICAL-CHEMICAL AND PHYSIOLOGICAL ASPECTS OF RESISTANT STARCH Abstract The present revision had as objective: to study the factors, which have influence on resistant starch (RS) formation, and their content on foodstuffs, aiming to subsidies health professionals on dietary recommendations. The expression resistant starch refers to the sum of starch and its degradation products not digested by gastrointestinal tract enzymes from healthy human beings. Resistant Starch was approached according to its classification and formation and also according to its physiological effects on intestinal sugar and lipids metabolisms. It was observed RS prebiotics properties confirmation, although the systemic mechanisms of low chain fatty acids produced during fermentation and the effects on glycemic and lipidic responses are still conflicting.

scholarly journals Can the Sequence of Food Presentation Influence Postprandial Glycaemia? (P10-072-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Christiani Henry ◽  
Lijuan Sun ◽  
Priya Govindharajulu ◽  
Melvin Khee-Shing Leow
Keyword(s):  
Random Order ◽  
Postprandial Glucose ◽  
Food Presentation ◽  
Chinese Adults ◽  
Glycaemic Response ◽  
Glucose Response ◽  
Randomized Controlled ◽  
Funding Sources ◽  
Postprandial Glycaemia ◽  
Different Order

Abstract Objectives The study was to investigate how a rice-based meal composed of rice, vegetable (green leaf) and meat (breast of chicken) when presented in different order of sequence, impacts on postprandial glycaemia. Methods In a randomized controlled crossover trial, sixteen healthy Chinese adults participated in this study (13 males and 3 females). Subjects consumed in random order 5 experimental meals. The 5 test meal were: (1) vegetables first followed by meat and rice (V-MR), (2) meat first followed by vegetables and rice (M-VR), (3) vegetables first, meat second followed by rice (V-M-R), (4) vegetables, meat and rice together (VMR), (5) rice followed by vegetables and meat (R-VM). Vegetable consumed first followed by meat and rice (V-MR), finally vegetable consumed first, followed by meat and followed by rice (V-M-R). Results In comparison to rice consumed first followed by vegetable and meat (R-VM), the overall postprandial glucose response was significantly lower after the consumption of vegetable first, followed by meat and rice (V-MR) or meat first, followed by vegetable and rice (M-VR) or vegetable followed by meat and followed by rice (V-M-R) or vegetable, meat and rice consumed together (VMR). The insulin iAUC (0–60) was significantly lower after V-M-R than M-VR, VMR and R-VM. V-M-R food sequence intake stimulated higher GLP-1 release than other meal sequence. However, GIP response was lower after V-MR and V-M-R than M-VR and R-MR food sequence. Conclusions Food sequence can considerably influence a meals response to glycaemic, insulinaemic and incretin. V-M-R food sequence intake lowered the glycaemic response significantly with an increased stimulation of GLP1. The order of food presentation has a great potential to alter the glycaemic response of rice-based diets. Our results provide a simple but effective way to reduce postprandial glucose and may help prevent the transition from pre-diabetics to diabetics Funding Sources Singapore Institute for Clinical Sciences, A*STAR, Singapore. Supporting Tables, Images and/or Graphs

scholarly journals Nutrient Extraction Lowers Postprandial Glucose Response of Fruit in Adults with Obesity as well as Healthy Weight Adults

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 766
Author(s):  
Rabab Alkutbe ◽  
Kathy Redfern ◽  
Michael Jarvis ◽  
Gail Rees
Keyword(s):  
Fruit Juice ◽  
Disease Risk ◽  
Risk Group ◽  
Postprandial Glucose ◽  
Glycemic Response ◽  
Healthy Weight ◽  
Glucose Response ◽  
Eating Fruit ◽  
Nutrient Extraction

Fruit consumption is recommended as part of a healthy diet. However, consumption of fruit in the form of juice is positively associated with type 2 diabetes risk, possibly due to resulting hyperglycemia. In a recent study, fruit juice prepared by nutrient extraction, a process that retains the fiber component, was shown to elicit a favorable glycemic index (GI), compared to eating the fruit whole, in healthy weight adults. The current study expanded on this to include individuals with obesity, and assessed whether the nutrient extraction of seeded fruits reduced GI in a higher disease risk group. Nutrient extraction was shown to significantly lower GI, compared to eating fruit whole, in subjects with obesity (raspberry/mango: 25.43 ± 18.20 vs. 44.85 ± 20.18, p = 0.034 and passion fruit/mango (26.30 ± 25.72 vs. 42.56 ± 20.64, p = 0.044). Similar results were found in those of a healthy weight. In summary, the current study indicates that the nutrient-extraction of raspberries and passionfruit mixed with mango lowers the GI, not only in healthy weight individuals, but also in those with obesity, and supports further investigation into the potential for nutrient extraction to enable increased fruit intake without causing a high glycemic response.

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