Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models
Metabolic flexibility is the ability of an organism to adapt its energy source based on nutrient availability and energy requirements. In humans, this ability has been linked to cardio-metabolic health and healthy aging. Genome-scale metabolic models have been employed to simulate metabolic flexibil...
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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/11/10/695 |
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| author | Andrea Cabbia Peter A. J. Hilbers Natal A. W. van Riel |
| author_facet | Andrea Cabbia Peter A. J. Hilbers Natal A. W. van Riel |
| author_sort | Andrea Cabbia |
| collection | DOAJ |
| description | Metabolic flexibility is the ability of an organism to adapt its energy source based on nutrient availability and energy requirements. In humans, this ability has been linked to cardio-metabolic health and healthy aging. Genome-scale metabolic models have been employed to simulate metabolic flexibility by computing the Respiratory Quotient (RQ), which is defined as the ratio of carbon dioxide produced to oxygen consumed, and varies between values of 0.7 for pure fat metabolism and 1.0 for pure carbohydrate metabolism. While the nutritional determinants of metabolic flexibility are known, the role of low energy expenditure and sedentary behavior in the development of metabolic inflexibility is less studied. In this study, we present a new description of metabolic flexibility in genome-scale metabolic models which accounts for energy expenditure, and we study the interactions between physical activity and nutrition in a set of patient-derived models of skeletal muscle metabolism in older adults. The simulations show that fuel choice is sensitive to ATP consumption rate in all models tested. The ability to adapt fuel utilization to energy demands is an intrinsic property of the metabolic network. |
| first_indexed | 2024-03-10T06:24:12Z |
| format | Article |
| id | doaj.art-9d7e877779ef42f2bd7b7f7d81fbfea7 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-10T06:24:12Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-9d7e877779ef42f2bd7b7f7d81fbfea72023-11-22T19:07:31ZengMDPI AGMetabolites2218-19892021-10-01111069510.3390/metabo11100695Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic ModelsAndrea Cabbia0Peter A. J. Hilbers1Natal A. W. van Riel2Department of Biomedical Engineering, Computational Biology, Eindhoven University of Technology, Groene Loper 5, 5612 AE Eindhoven, The NetherlandsDepartment of Biomedical Engineering, Computational Biology, Eindhoven University of Technology, Groene Loper 5, 5612 AE Eindhoven, The NetherlandsDepartment of Biomedical Engineering, Computational Biology, Eindhoven University of Technology, Groene Loper 5, 5612 AE Eindhoven, The NetherlandsMetabolic flexibility is the ability of an organism to adapt its energy source based on nutrient availability and energy requirements. In humans, this ability has been linked to cardio-metabolic health and healthy aging. Genome-scale metabolic models have been employed to simulate metabolic flexibility by computing the Respiratory Quotient (RQ), which is defined as the ratio of carbon dioxide produced to oxygen consumed, and varies between values of 0.7 for pure fat metabolism and 1.0 for pure carbohydrate metabolism. While the nutritional determinants of metabolic flexibility are known, the role of low energy expenditure and sedentary behavior in the development of metabolic inflexibility is less studied. In this study, we present a new description of metabolic flexibility in genome-scale metabolic models which accounts for energy expenditure, and we study the interactions between physical activity and nutrition in a set of patient-derived models of skeletal muscle metabolism in older adults. The simulations show that fuel choice is sensitive to ATP consumption rate in all models tested. The ability to adapt fuel utilization to energy demands is an intrinsic property of the metabolic network.https://www.mdpi.com/2218-1989/11/10/695metabolic flexibilityrespiratory quotientenergy expenditure |
| spellingShingle | Andrea Cabbia Peter A. J. Hilbers Natal A. W. van Riel Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models Metabolites metabolic flexibility respiratory quotient energy expenditure |
| title | Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models |
| title_full | Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models |
| title_fullStr | Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models |
| title_full_unstemmed | Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models |
| title_short | Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models |
| title_sort | simulating metabolic flexibility in low energy expenditure conditions using genome scale metabolic models |
| topic | metabolic flexibility respiratory quotient energy expenditure |
| url | https://www.mdpi.com/2218-1989/11/10/695 |
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