Dataset Information

Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes.

ABSTRACT:

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.

SUBMITTER: Nogiec C

PROVIDER: S-EPMC4338313 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Publications

Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes.

Nogiec Christopher C Burkart Alison A Dreyfuss Jonathan M JM Lerin Carles C Kasif Simon S Patti Mary-Elizabeth ME

Molecular metabolism 20150102 3

<h4>Objective</h4>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.<h4>Methods</h4>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 netwo ...[more]

PMID: 25737951

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Dataset Information

Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes.

Objective

Methods

Results

Conclusions

Publications

Metabolic modeling of muscle metabolism identifies key reactions linked to insulin resistance phenotypes.

Similar Datasets

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