Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model
Summary: 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 desc...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S258900422201478X |
| _version_ | 1798027949385973760 |
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| author | Shauna D. O’Donovan Balázs Erdős Doris M. Jacobs Anne J. Wanders E. Louise Thomas Jimmy D. Bell Milena Rundle Gary Frost Ilja C.W. Arts Lydia A. Afman Natal A.W. van Riel |
| author_facet | Shauna D. O’Donovan Balázs Erdős Doris M. Jacobs Anne J. Wanders E. Louise Thomas Jimmy D. Bell Milena Rundle Gary Frost Ilja C.W. Arts Lydia A. Afman Natal A.W. van Riel |
| author_sort | Shauna D. O’Donovan |
| collection | DOAJ |
| description | Summary: 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. |
| first_indexed | 2024-04-11T19:01:03Z |
| format | Article |
| id | doaj.art-b81561b698174b2a98bed0f081ce987f |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-11T19:01:03Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-b81561b698174b2a98bed0f081ce987f2022-12-22T04:08:03ZengElsevieriScience2589-00422022-11-012511105206Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal modelShauna D. O’Donovan0Balázs Erdős1Doris M. Jacobs2Anne J. Wanders3E. Louise Thomas4Jimmy D. Bell5Milena Rundle6Gary Frost7Ilja C.W. Arts8Lydia A. Afman9Natal A.W. van Riel10Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Eindhoven Artifical Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the Netherlands; Corresponding authorMaastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the NetherlandsUnilever Global Food Innovation Centre, Bronland 14, 6708WH Wageningen, the NetherlandsUnilever Global Food Innovation Centre, Bronland 14, 6708WH Wageningen, the NetherlandsResearch Center for Optimal Health, School of Life Sciences, University of Westminster, London, UKResearch Center for Optimal Health, School of Life Sciences, University of Westminster, London, UKDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UKDivision of Diabetes, Endocrinology, and Metabolism, Department of Medicine, Imperial College London, London, UKMaastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, the NetherlandsDivision of Human Nutrition and Health, Wageningen University, Wageningen, the NetherlandsDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands; Eindhoven Artifical Intelligence Systems Institute (EAISI), Eindhoven University of Technology, Eindhoven, the NetherlandsSummary: 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.http://www.sciencedirect.com/science/article/pii/S258900422201478XHuman metabolismSystems biologyIn silico biologyNutrition |
| spellingShingle | Shauna D. O’Donovan Balázs Erdős Doris M. Jacobs Anne J. Wanders E. Louise Thomas Jimmy D. Bell Milena Rundle Gary Frost Ilja C.W. Arts Lydia A. Afman Natal A.W. van Riel Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model iScience Human metabolism Systems biology In silico biology Nutrition |
| title | Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model |
| title_full | Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model |
| title_fullStr | Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model |
| title_full_unstemmed | Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model |
| title_short | Quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model |
| title_sort | quantifying the contribution of triglycerides to metabolic resilience through the mixed meal model |
| topic | Human metabolism Systems biology In silico biology Nutrition |
| url | http://www.sciencedirect.com/science/article/pii/S258900422201478X |
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