Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model

Despite the pivotal role played by elevated circulating triglyceride levels in the pathophysiology of cardio-metabolic diseases many of the indices used to quantify metabolic health focus on deviations in glucose and insulin alone. We present the Mixed Meal Model, a computational model describing the systemic interplay between triglycerides, free fatty acids, glucose, and insulin. We show that the Mixed Meal Model can capture deviations in the post-meal excursions of plasma glucose, insulin, and triglyceride that are indicative of features of metabolic resilience; quantifying insulin resistance and liver fat; validated by comparison to gold-standard measures. We also demonstrate that the Mixed Meal Model is generalizable, applying it to meals with diverse macro-nutrient compositions. In this way, by coupling triglycerides to the glucose-insulin system the Mixed Meal Model provides a more holistic assessment of metabolic resilience from meal response data, quantifying pre-clinical metabolic deteriorations that drive disease development in overweight and obesity.

Bibliographic Details

Main Authors:	O'Donovan, Shauna D., Erdős, Balázs, Jacobs, Doris M., Wanders, Anne J., Thomas, E.L., Bell, Jimmy D., Rundle, Milena, Frost, Gary, Arts, Ilja C.W., Afman, Lydia A., van Riel, Natal A.W.
Format:	Article/Letter to editor biblioteca
Language:	English
Subjects:	Human metabolism, In silico biology, Nutrition, Systems biology,
Online Access:	https://research.wur.nl/en/publications/quantifying-the-contribution-of-triglycerides-to-metabolic-resili
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