Title | The Mixed Meal Model: quantifying the contribution of 1 triglycerides to metabolic resilience. |
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Type | Journal article |
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Authors | O’Donovan, S.D., Erdős, B., Jacobs, D.M., Wanders, A.J., Thomas, E.L., Bell, J.D., Rundle, M., Frost, G., Arts, I.C.W., Afman, L.A. and van Riel, A.A.W. |
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Abstract | 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 generalisable, applying it to meals with diverse macro-nutrient composition. 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. |
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Article number | 105206 |
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Journal | iScience |
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Journal citation | 25 (11) |
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ISSN | 2589-0042 |
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Year | 2022 |
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Publisher | Cell Press |
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Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
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Digital Object Identifier (DOI) | https://doi.org/10.1016/j.isci.2022.105206 |
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Web address (URL) | https://www.sciencedirect.com/science/article/pii/S258900422201478X?via%3Dihub |
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Publication dates |
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Published online | 03 Oct 2022 |
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Published in print | 18 Nov 2022 |
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