Model-based analysis of postprandial glycemic response dynamics for different types of food

Wesseling-Rozendaal, Yvonne; Maas, Anne H.; Pul, Carola van; Cottaar, E.J.E.; Haak, Harm R.; Hilbers, P.A.J.; Riel, Natal A. W. van

doi:10.1016/j.yclnex.2018.01.003

Cited by 27 publications

(29 citation statements)

References 51 publications

(72 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have repeatedly described variability of postprandial plasma levels of different enteroendocrine factors such as glucose and insulin (Hall et al, ; Zeevi et al, ). Interestingly, these studies have highlighted an association between high postprandial glycemic variability and cardiometabolic risk (Hall et al, ; Jung, ), emphasizing the relevance of postprandial variability for metabolic health and thus the need for better quantification and analysis of postprandial variability (Rozendaal et al, ). High interindividual variability of postprandial bile concentrations is reported in the literature (Al‐Khaifi et al, ; Eggink et al, ; Fiamoncini et al, ; Sonne et al, ; Steiner et al, ).…”

Section: Discussionmentioning

confidence: 99%

Model‐based data analysis of individual human postprandial plasma bile acid responses indicates a major role for the gallbladder and intestine

et al. 2020

View full text Add to dashboard Cite

Background Bile acids are multifaceted metabolic compounds that signal to cholesterol, glucose, and lipid homeostasis via receptors like the Farnesoid X Receptor (FXR) and transmembrane Takeda G protein‐coupled receptor 5 (TGR5). The postprandial increase in plasma bile acid concentrations is therefore a potential metabolic signal. However, this postprandial response has a high interindividual variability. Such variability may affect bile acid receptor activation. Methods In this study, we analyzed the inter‐ and intraindividual variability of fasting and postprandial bile acid concentrations during three identical meals on separate days in eight healthy lean male subjects using a statistical and mathematical approach. Main findings The postprandial bile acid responses exhibited large interindividual and intraindividual variability. The individual mathematical models, which represent the enterohepatic circulation of bile acids in each subject, suggest that interindividual variability results from quantitative and qualitative differences of distal active uptake, colon transit, and microbial bile acid transformation. Conversely, intraindividual variations in gallbladder kinetics can explain intraindividual differences in the postprandial responses. Conclusions We conclude that there is considerable inter‐ and intraindividual variation in postprandial plasma bile acid levels. The presented personalized approach is a promising tool to identify unique characteristics of underlying physiological processes and can be applied to investigate bile acid metabolism in pathophysiological conditions.

show abstract

Section: Discussionmentioning

confidence: 99%

Model‐based data analysis of individual human postprandial plasma bile acid responses indicates a major role for the gallbladder and intestine

et al. 2020

View full text Add to dashboard Cite

show abstract

“…However, we must emphasize that in the work of Zeevi et al, the study group consisted of a healthy population and it should be confirmed that the findings are equally valid in people with diabetes before they can be used to optimize the diabetes treatment. Recently, Rozendaal et al demonstrated that the large variability in postprandial glycemic response dynamics to different types of food is inadequately predicted by existing glycemic measures such as the Glycemic Index, the Glycemic Load and the Glycemic Glucose Equivalents [52]. They quantitatively described the postprandial glycemic response dynamics using a physiology-based dynamic model.…”

Section: Inter-subject Variability Of a Response To Mealsmentioning

confidence: 99%

Insulin in Type 1 and Type 2 Diabetes—Should the Dose of Insulin Before a Meal be Based on Glycemia or Meal Content?

Krzymień

Ładyżyński

2019

Nutrients

View full text Add to dashboard Cite

The aim of this review was to investigate existing guidelines and scientific evidence on determining insulin dosage in people with type 1 and type 2 diabetes, and in particular to check whether the prandial insulin dose should be calculated based on glycemia or the meal composition, including the carbohydrates, protein and fat content in a meal. By exploring the effect of the meal composition on postprandial glycemia we demonstrated that several factors may influence the increase in glycemia after the meal, which creates significant practical difficulties in determining the appropriate prandial insulin dose. Then we reviewed effects of the existing insulin therapy regimens on glycemic control. We demonstrated that in most existing algorithms aimed at calculating prandial insulin doses in type 1 diabetes only carbohydrates are counted, whereas in type 2 diabetes the meal content is often not taken into consideration. We conclude that prandial insulin doses in treatment of people with diabetes should take into account the pre-meal glycemia as well as the size and composition of meals. However, there are still open questions regarding the optimal way to adjust a prandial insulin dose to a meal and the possible benefits for people with type 1 and type 2 diabetes if particular parameters of the meal are taken into account while calculating the prandial insulin dose. The answers to these questions may vary depending on the type of diabetes.

show abstract

“…These examples are interesting in that they can be used to predict the dose and timing of nutrient arrival in the blood stream in response to a given food or a meal, and could be easily connected with nutritional models that aim to predict the metabolic fate and consequences of absorbed amino-acids [12], lipid products [13], or sugars [14] in the fed state. However, to build a PBK model of food transit and absorption that becomes truly relevant for predictive purposes, there remains a clear need to more directly relate the properties of the foods or meals with: (i) the kinetics of enzymatic hydrolysis, and (ii) the GI transit, in particular the gastric emptying kinetics.…”

Section: Introductionmentioning

confidence: 99%

In silico trials of food digestion and absorption: how far are we?

Feunteun

Mackie

Dupont

2020

Current Opinion in Food Science

View full text Add to dashboard Cite

In recent years, experimental research on the mechanisms of food digestion in the gastrointestinal tract has strengthened our knowledge on the effect of food on human health. A number of mathematical models have been proposed to rationalize our understanding on the related mechanisms. One common suggestion is that in silico models could be interconnected and used in the future to predict the effect of food systems (liquid or solid, inner microstructure, state of nutrients. . .) on various metabolic responses. This paper aims to provide a brief overview of the latest developments in this young but promising field of research.

show abstract

Model-based analysis of postprandial glycemic response dynamics for different types of food

Cited by 27 publications

References 51 publications

Model‐based data analysis of individual human postprandial plasma bile acid responses indicates a major role for the gallbladder and intestine

Model‐based data analysis of individual human postprandial plasma bile acid responses indicates a major role for the gallbladder and intestine

Insulin in Type 1 and Type 2 Diabetes—Should the Dose of Insulin Before a Meal be Based on Glycemia or Meal Content?

In silico trials of food digestion and absorption: how far are we?

Contact Info

Product

Resources

About