Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes
Objective: Dysregulated muscle metabolism is a cardinal feature of human insulin resistance (IR) and associated diseases, including type 2 diabetes (T2D). However, specific reactions contributing to abnormal energetics and metabolic inflexibility in IR are unknown. Methods: We utilize flux balance c...
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doaj-7ee17466840843b7ae8cf2ccaf6ede512020-11-24T22:30:25ZengElsevierMolecular Metabolism2212-87782015-03-014315116310.1016/j.molmet.2014.12.012Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypesChristopher Nogiec0Alison Burkart1Jonathan M. Dreyfuss2Carles Lerin3Simon Kasif4Mary-Elizabeth Patti5Graduate Program in Bioinformatics, Boston University, Boston, MA, USAResearch Division, Joslin Diabetes Center and Harvard Medical School, Boston, MA, USAResearch Division, Joslin Diabetes Center, and Department of Biomedical Engineering, Boston University, Boston, MA, USAResearch Division, Joslin Diabetes Center, Boston, MA, USABiomedical Engineering, Boston University, Boston, MA, USAResearch Division, Joslin Diabetes Center and Harvard Medical School, Boston, MA, USAObjective: Dysregulated muscle metabolism is a cardinal feature of human insulin resistance (IR) and associated diseases, including type 2 diabetes (T2D). However, specific reactions contributing to abnormal energetics and metabolic inflexibility in IR are unknown. Methods: We utilize flux balance computational modeling to develop the first systems-level analysis of IR metabolism in fasted and fed states, and varying nutrient conditions. We systematically perturb the metabolic network to identify reactions that reproduce key features of IR-linked metabolism. Results: While reduced glucose uptake is a major hallmark of IR, model-based reductions in either extracellular glucose availability or uptake do not alter metabolic flexibility, and thus are not sufficient to fully recapitulate IR-linked metabolism. Moreover, experimentally-reduced flux through single reactions does not reproduce key features of IR-linked metabolism. However, dual knockdowns of pyruvate dehydrogenase (PDH), in combination with reduced lipid uptake or lipid/amino acid oxidation (ETFDH), does reduce ATP synthesis, TCA cycle flux, and metabolic flexibility. Experimental validation demonstrates robust impact of dual knockdowns in PDH/ETFDH on cellular energetics and TCA cycle flux in cultured myocytes. Parallel analysis of transcriptomic and metabolomics data in humans with IR and T2D demonstrates downregulation of PDH subunits and upregulation of its inhibitory kinase PDK4, both of which would be predicted to decrease PDH flux, concordant with the model. Conclusions: Our results indicate that complex interactions between multiple biochemical reactions contribute to metabolic perturbations observed in human IR, and that the PDH complex plays a key role in these metabolic phenotypes.http://www.sciencedirect.com/science/article/pii/S2212877814002257Muscle insulin resistanceMuscle metabolismFlux balance analysisComputational modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christopher Nogiec Alison Burkart Jonathan M. Dreyfuss Carles Lerin Simon Kasif Mary-Elizabeth Patti |
spellingShingle |
Christopher Nogiec Alison Burkart Jonathan M. Dreyfuss Carles Lerin Simon Kasif Mary-Elizabeth Patti Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes Molecular Metabolism Muscle insulin resistance Muscle metabolism Flux balance analysis Computational modeling |
author_facet |
Christopher Nogiec Alison Burkart Jonathan M. Dreyfuss Carles Lerin Simon Kasif Mary-Elizabeth Patti |
author_sort |
Christopher Nogiec |
title |
Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes |
title_short |
Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes |
title_full |
Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes |
title_fullStr |
Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes |
title_full_unstemmed |
Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes |
title_sort |
metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes |
publisher |
Elsevier |
series |
Molecular Metabolism |
issn |
2212-8778 |
publishDate |
2015-03-01 |
description |
Objective: Dysregulated muscle metabolism is a cardinal feature of human insulin resistance (IR) and associated diseases, including type 2 diabetes (T2D). However, specific reactions contributing to abnormal energetics and metabolic inflexibility in IR are unknown.
Methods: We utilize flux balance computational modeling to develop the first systems-level analysis of IR metabolism in fasted and fed states, and varying nutrient conditions. We systematically perturb the metabolic network to identify reactions that reproduce key features of IR-linked metabolism.
Results: While reduced glucose uptake is a major hallmark of IR, model-based reductions in either extracellular glucose availability or uptake do not alter metabolic flexibility, and thus are not sufficient to fully recapitulate IR-linked metabolism. Moreover, experimentally-reduced flux through single reactions does not reproduce key features of IR-linked metabolism. However, dual knockdowns of pyruvate dehydrogenase (PDH), in combination with reduced lipid uptake or lipid/amino acid oxidation (ETFDH), does reduce ATP synthesis, TCA cycle flux, and metabolic flexibility. Experimental validation demonstrates robust impact of dual knockdowns in PDH/ETFDH on cellular energetics and TCA cycle flux in cultured myocytes. Parallel analysis of transcriptomic and metabolomics data in humans with IR and T2D demonstrates downregulation of PDH subunits and upregulation of its inhibitory kinase PDK4, both of which would be predicted to decrease PDH flux, concordant with the model.
Conclusions: Our results indicate that complex interactions between multiple biochemical reactions contribute to metabolic perturbations observed in human IR, and that the PDH complex plays a key role in these metabolic phenotypes. |
topic |
Muscle insulin resistance Muscle metabolism Flux balance analysis Computational modeling |
url |
http://www.sciencedirect.com/science/article/pii/S2212877814002257 |
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