Digital metabolic twins; quantifying metabolic resilience in overweight/obesity

Beschrijving

Increasingly we consider a person’s resilience, the ability to respond and adapt to physical, emotional, or social challenges, as a more sensitive measure of health than simply the absence of disease. Meal challenge tests are regularly employed in research to assess metabolic resilience, however, how to effectively process and interpret the resulting multivariate time-series of data still proves challenging.
We present the Mixed Meal Model, a physiology-based computational model of whole-body glucose and lipid metabolism. With the Mixed Meal Model an individual’s metabolic flexibility can be characterized in silico using a set of physiologically interpretable parameters quantifying rates of insulin secretion, insulin resistance, and hepatic lipid accumulation from meal response data. A population of 342 personalised Mixed Meal Models were generated using data from overweight and obese (BMI 24.9 – 41.7 kg/m2) individuals, demonstrating a strong relationship between the model derived metric of insulin resistance (ρ=0.67, p

Periode	25 mei 2022
Evenementstitel	NWO Life2022
Evenementstype	Congres
Locatie	Egmond aan Zee, NederlandToon op kaart