Publisher Correction: Human postprandial responses to food and potential for precision nutrition

Personalized computational model quantifies heterogeneity in postprandial responses to oral glucose challenge

“…Certain features of the standard 75g OGTT response curves are widely accepted to be representative of glycemic control, most notably the fasting and 2 hour post-load glucose values are used in the diagnosis of prediabetes and type 2 diabetes mellitus (T2DM) [2]. The area under the plasma glucose/insulin response curve (AUC) is an extensively employed measure to compare responses [3] and has been successfully used in targeted and even personalized nutrition approaches [4][5][6]. However, the AUC is a somewhat crude measure that may often lead to ambiguous classifications [7].…”

“…Therefore, certain dynamic properties of the glucose response curves e.g. peak time, have been nominated as relevant for pathophysiological characterization [6,[8][9][10][11]. In addition, the post-load glucose and insulin trajectories may be used to derive proxy measures of whole-body and tissue-specific insulin sensitivity to serve as a surrogate to the hyperinsulinemic-euglycemic clamp.…”

Distinct factors associated with short-term and long-term weight loss induced by low-fat or low-carbohydrate diet intervention

“…As an emerging area, the concept of precision nutrition has been investigated for its application in disease management, such as nutritional cancer therapies 64 , 65 and controlling type 2 diabetes. 66 , 67 , 68 With the accumulated evidence and experience, precision nutrition can also have a large potential for weight loss and maintenance. The current study began to unravel the variables that enhance weight-loss success, and by showing that RQ can suggest a specific intervention, we are taking the first step.…”

The Impact of Glycaemic Load on Cognitive Performance: A Meta-analysis and Guiding Principles for Future Research

“…Similarly, various biomarkers that are related to acute cognitive performance and/ or postprandial glycaemia could be measured, such as heart rate variability, insulin, glucagon, glucagon-like peptide-1, free fatty acids, or cortisol (Dybjer et al, 2020;Nilsson et al, 2008;Saito et al, 2018). Lastly, several studies have reported that the gut microbiome plays a key role in postprandial glycaemia (Berry et al, 2020;Mendes-Soares et al, 2019;Zeevi et al, 2015), and as such may influence the cognitive response to variations in breakfast GL. This could be investigated by administering different dietary fibres.…”