Journal
FRONTIERS IN NUTRITION
Volume 9, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fnut.2022.831696
Keywords
dysglycemia risk; glycemia; precision preventive medicine; early disglycemia diagnosis; delphinol polyphenols; quantitative diagnostic; oral glucose tolerance test (OGTT)
Categories
Funding
- Max-Planck-Society
- Conicyt, Chile [21181435]
- Fondecyt Project [1191727]
- Centre for Biotechnology and Bioengineering-CeBiB (PIA project, Conicyt, Chile) [FB0001]
- MNL-Group
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There is growing evidence that dietary polyphenols can be used as an early intervention for treating glucose-insulin dysregulation. A methodology using an oral glucose tolerance test (OGTT) is proposed to quantify the effects of polyphenol-rich food on glycemic regulation in individuals. This method helps identify individuals at high risk of dysglycemia and assess the effectiveness of interventions over time.
A growing body of evidence indicates that dietary polyphenols could be used as an early intervention to treat glucose-insulin (G-I) dysregulation. However, studies report heterogeneous information, and the targets of the intervention remain largely elusive. In this work, we provide a general methodology to quantify the effects of any given polyphenol-rich food or formulae over glycemic regulation in a patient-wise manner using an Oral Glucose Tolerance Test (OGTT). We use a mathematical model to represent individual OGTT curves as the coordinated action of subsystems, each one described by a parameter with physiological interpretation. Using the parameter values calculated for a cohort of 1198 individuals, we propose a statistical model to calculate the risk of dysglycemia and the coordination among subsystems for each subject, thus providing a continuous and individual health assessment. This method allows identifying individuals at high risk of dysglycemia-which would have been missed with traditional binary diagnostic methods-enabling early nutritional intervention with a polyphenol-supplemented diet where it is most effective and desirable. Besides, the proposed methodology assesses the effectiveness of interventions over time when applied to the OGTT curves of a treated individual. We illustrate the use of this method in a case study to assess the dose-dependent effects of Delphinol (R) on reducing dysglycemia risk and improving the coordination between subsystems. Finally, this strategy enables, on the one hand, the use of low-cost, non-invasive methods in population-scale nutritional studies. On the other hand, it will help practitioners assess the effectiveness of an intervention based on individual vulnerabilities and adapt the treatment to manage dysglycemia and avoid its progression into disease.
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