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...

Full description

Bibliographic Details
Main Authors: Christopher Nogiec, Alison Burkart, Jonathan M. Dreyfuss, Carles Lerin, Simon Kasif, Mary-Elizabeth Patti
Format: Article
Language:English
Published: Elsevier 2015-03-01
Series:Molecular Metabolism
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2212877814002257
id doaj-7ee17466840843b7ae8cf2ccaf6ede51
record_format Article
spelling 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
work_keys_str_mv AT christophernogiec metabolicmodelingofmusclemetabolismidentifieskeyreactionslinkedtoinsulinresistancephenotypes
AT alisonburkart metabolicmodelingofmusclemetabolismidentifieskeyreactionslinkedtoinsulinresistancephenotypes
AT jonathanmdreyfuss metabolicmodelingofmusclemetabolismidentifieskeyreactionslinkedtoinsulinresistancephenotypes
AT carleslerin metabolicmodelingofmusclemetabolismidentifieskeyreactionslinkedtoinsulinresistancephenotypes
AT simonkasif metabolicmodelingofmusclemetabolismidentifieskeyreactionslinkedtoinsulinresistancephenotypes
AT maryelizabethpatti metabolicmodelingofmusclemetabolismidentifieskeyreactionslinkedtoinsulinresistancephenotypes
_version_ 1725741073660116992