An explorative study of in vivo digestive starch characteristics and postprandial glucose kinetics of wholemeal wheat bread

Priebe, Marion; Wachters-Hagedoorn, Renate E.; Heimweg, Janneke; Small, Alex; Preston, Tom; Elzinga, Harmke; Stellaard, Frans; Vonk, Roel J.

doi:10.1007/s00394-008-0743-6

Cited by 31 publications

(32 citation statements)

References 27 publications

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“…Although our observation of approximately 100% bioavailability of [U- 13 C]glucose is in line with previous observations [42][43][44], absorption of more slowly absorbed sugars (sucrose and fructose) is not necessarily assumed to be related to the absorption of the meal tracer. A limitation, of limited clinical significance, is that we were unable to separate EGP and glucose appearance from complex carbohydrates, which would have required intrinsic labelling of glucose in the starch [14]. The crucial clinically relevant information, is not how much of the postprandial glucose appearance is attributable to EGP vs meal-derived oral glucose, but rather the discrepancy between total postprandial glucose appearance and glucose disposal, which make up the postprandial glucose excursion.…”

Section: Discussionmentioning

confidence: 99%

“…The postprandial glucose excursion is defined by interactions between total postprandial glucose appearance (from sugars and complex carbohydrates), endogenous glucose production (EGP) and glucose disposal. Defining the precise contribution of complex carbohydrate is methodologically difficult, requiring the intrinsic labelling of glucose in starch [14]. Hence, the precise mechanisms of postprandial hyperglycaemia for meals containing complex carbohydrates have not yet been elucidated.…”

Section: Introductionmentioning

confidence: 99%

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Pathophysiology of postprandial hyperglycaemia in women with type 1 diabetes during pregnancy

et al. 2011

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Aims/hypothesis Although maternal hyperglycaemia is associated with increased risk of adverse pregnancy outcome, the mechanisms of postprandial hyperglycaemia during pregnancy are poorly understood. We aimed to describe glucose turnover in pregnant women with type 1 diabetes, according to stage of gestation (early vs late gestation). Methods The rates of systemic glucose appearance (R a ) and glucose disposal (R d ) were measured in ten pregnant women with type 1 diabetes during early (12-16 weeks) and late (28-32 weeks) gestation. Women ate standardised meals-a starch-rich 80 g carbohydrate dinner and a sugarrich 60 g carbohydrate breakfast-and fasted between meals and overnight. Stable-label isotope tracers ([6,6-2 H 2 ]glucose and [U-13 C]glucose) were used to determine R a , R d and glucose bioavailability. Closed-loop insulin delivery maintained stable glycaemic conditions. Results There were no changes in fasting R a (10±2 vs 11±2 μmol kg -1 min -1 ; p=0.32) or fasting R d (11±2 vs 11±1 μmol kg -1 min -1 ; p=0.77) in early vs late gestation. There was increased hepatic insulin resistance (381±237 vs 540 ± 242 μmol kg -1 min -1 × pmol/l; p = 0.04) and decreased peripheral insulin sensitivity (0.09±0.04 vs 0.05±0.02 μmol kg -1 min -1 per pmol/l dinner, 0.11±0.05 vs 0.07±0.03 μmol kg -1 min -1 per pmol/l breakfast; p=0.002) in late gestation. It also took longer for insulin levels to reach maximal concentrations (49 [37-55]

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pathophysiology of postprandial hyperglycaemia in women with type 1 diabetes during pregnancy

et al. 2011

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“…In addition, fermentation of starch that reaches the colon increases the production of SCFA, which are associated with several health benefits (6,7). Information about starch digestibility can be obtained from in vitro assays (8), which, however, might not always predict the in vivo starch digestion, as we have shown before (9). In addition, carbohydrate-rich foods are often classified using the GI, which reflects the effect on postprandial blood glucose concentrations (10).…”

Section: Introductionmentioning

confidence: 99%

Collapse and reorganization of a food web of Mwanza Gulf, Lake Victoria

Downing

Nes

Janse

et al. 2012

Ecological Applications

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Starchy food products differ in the rate of starch digestion, which can affect their metabolic impact. In this study, we examined how the in vivo starch digestibility is reflected by the glycemic response, because this response is often used to predict starch digestibility. Ten healthy male volunteers [age 21 6 0.5 y, BMI 23 6 0.6 kg/m 2 (mean 6 SEM)] participated in a cross-over study, receiving three different meals: pasta with normal wheat bran (PA) and bread with normal (CB) or purple wheat bran (PBB). Purple wheat bran was added in an attempt to decrease the rate of starch digestion. The meals were enriched in 13 C and the dual isotope technique was applied to calculate the rate of appearance of exogenous glucose (RaE). The purple wheat bran in bread does not affect in vivo starch digestibility. However, the iAUC of RaE after men consumed PA was less than after they consumed CB (P , 0.0001) despite the similar glucose response. To conclude, the glycemic response does not always reflect the in vivo starch digestibility. This could have implications for intervention studies in which the glycemic response is used to characterize test products.

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“…The percentage of insulin data points inside the acceptance range is higher after individualization than before for all verification data sets. However, the percentage of glucose data points within range goes down for 2 studies (Priebe et al, 48 WachtersHagedoorn et al 51 ).…”

Section: Resultsmentioning

confidence: 99%

A Physiology-Based Model Describing Heterogeneity in Glucose Metabolism

Maas

Wesseling-Rozendaal

Pul

et al. 2014

J Diabetes Sci Technol

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Diabetes is a serious and life-threatening condition that reduces the quality of life of the patient and is also costly, both in medical costs and in lost work-hours. 1 The incidence and severity of the complications of diabetes can considerably be reduced if patients develop a lifestyle that leads to good glycemic control. 2,3 Research has shown that diabetes education can reduce HbA1c over a longer period, 4,5 resulting in a lower risk of complications. 6,7 Education is therefore a fundamental part of diabetes care. It is currently provided in several 1-on-1 or group sessions with a physician, diabetes nurse, dietician, or podiatrist. This is time-consuming and costly.A major part of diabetes education is learning how to adjust insulin injections based on carbohydrate intake, exercise and factors like stress or illness. However, possibilities for the patient to safely practice with this newly acquired knowledge are limited to trying different strategies on his own body. This gives a considerable risk of hypo-or hyperglycemia. Here, we describe the development and verification of the physiological model for healthy subjects that forms the basis of the Eindhoven Diabetes Education Simulator (E-DES). E-DES shall provide diabetes patients with an individualized virtual practice environment incorporating the main factors that influence glycemic control: food, exercise, and medication.

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An explorative study of in vivo digestive starch characteristics and postprandial glucose kinetics of wholemeal wheat bread

Cited by 31 publications

References 27 publications

Pathophysiology of postprandial hyperglycaemia in women with type 1 diabetes during pregnancy

Pathophysiology of postprandial hyperglycaemia in women with type 1 diabetes during pregnancy

Collapse and reorganization of a food web of Mwanza Gulf, Lake Victoria

A Physiology-Based Model Describing Heterogeneity in Glucose Metabolism

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