Brännmark2013 - Insulin signalling in human adipocytes (normal condition)

Model Identifier
BIOMD0000000448
Short description
Brännmark2013 - Insulin signalling in human adipocytes (normal condition)

The paper describes insulin signalling in human adipocytes under normal and diabetic states using mathematical models based on experimental data. This model corresponds to insulin signalling under normal condtion

This model is described in the article:

Brännmark C, Nyman E, Fagerholm S, Bergenholm L, Ekstrand EM, Cedersund G, Strålfors P.
J Biol Chem. 2013 Apr 5;288(14):9867-80.

Abstract:

Type 2 diabetes originates in an expanding adipose tissue that for unknown reasons becomes insulin resistant. Insulin resistance reflects impairments in insulin signaling, but mechanisms involved are unclear because current research is fragmented. We report a systems level mechanistic understanding of insulin resistance, using systems wide and internally consistent data from human adipocytes. Based on quantitative steady-state and dynamic time course data on signaling intermediaries, normally and in diabetes, we developed a dynamic mathematical model of insulin signaling. The model structure and parameters are identical in the normal and diabetic states of the model, except for three parameters that change in diabetes: (i) reduced concentration of insulin receptor, (ii) reduced concentration of insulin-regulated glucose transporter GLUT4, and (iii) changed feedback from mammalian target of rapamycin in complex with raptor (mTORC1). Modeling reveals that at the core of insulin resistance in human adipocytes is attenuation of a positive feedback from mTORC1 to the insulin receptor substrate-1, which explains reduced sensitivity and signal strength throughout the signaling network. Model simulations with inhibition of mTORC1 are comparable with experimental data on inhibition of mTORC1 using rapamycin in human adipocytes. We demonstrate the potential of the model for identification of drug targets, e.g. increasing the feedback restores insulin signaling, both at the cellular level and, using a multilevel model, at the whole body level. Our findings suggest that insulin resistance in an expanded adipose tissue results from cell growth restriction to prevent cell necrosis.

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Format
SBML (L2V4)
Related Publication
  • Insulin signaling in type 2 diabetes: experimental and modeling analyses reveal mechanisms of insulin resistance in human adipocytes. Click here to expand
  • Cecilia Brännmark, Elin Nyman, Siri Fagerholm, Linnéa Bergenholm, Eva-Maria Ekstrand, Gunnar Cedersund, Peter Strålfors
  • The Journal of biological chemistry , 4/ 2013 , Volume 288 , Issue 14 , pages: 9867-9880 , PubMed ID: 23400783
  • Department of Clinical and Experimental Medicine, Linköping University, SE58185 Linköping, Sweden.
  • Type 2 diabetes originates in an expanding adipose tissue that for unknown reasons becomes insulin resistant. Insulin resistance reflects impairments in insulin signaling, but mechanisms involved are unclear because current research is fragmented. We report a systems level mechanistic understanding of insulin resistance, using systems wide and internally consistent data from human adipocytes. Based on quantitative steady-state and dynamic time course data on signaling intermediaries, normally and in diabetes, we developed a dynamic mathematical model of insulin signaling. The model structure and parameters are identical in the normal and diabetic states of the model, except for three parameters that change in diabetes: (i) reduced concentration of insulin receptor, (ii) reduced concentration of insulin-regulated glucose transporter GLUT4, and (iii) changed feedback from mammalian target of rapamycin in complex with raptor (mTORC1). Modeling reveals that at the core of insulin resistance in human adipocytes is attenuation of a positive feedback from mTORC1 to the insulin receptor substrate-1, which explains reduced sensitivity and signal strength throughout the signaling network. Model simulations with inhibition of mTORC1 are comparable with experimental data on inhibition of mTORC1 using rapamycin in human adipocytes. We demonstrate the potential of the model for identification of drug targets, e.g. increasing the feedback restores insulin signaling, both at the cellular level and, using a multilevel model, at the whole body level. Our findings suggest that insulin resistance in an expanded adipose tissue results from cell growth restriction to prevent cell necrosis.
Contributors
Submitter of the first revision: Elin Nyman
Submitter of this revision: Lucian Smith
Curator: Lucian Smith
Modeller: Elin Nyman

Metadata information

is (2 statements)
BioModels Database BIOMD0000000448
BioModels Database MODEL1304190000

isDerivedFrom (1 statement)
BioModels Database BIOMD0000000343

isDescribedBy (1 statement)
PubMed 23400783

hasTaxon (1 statement)
Taxonomy Homo sapiens

isVersionOf (1 statement)
hasProperty (2 statements)
Human Disease Ontology type 2 diabetes mellitus
Mathematical Modelling Ontology Ordinary differential equation model


Curation status
Curated


Connected external resources