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Brännmark2013 - Insulin signalling in human adipocytes (diabetic condition)


ABSTRACT: Brännmark2013 - Insulin signalling in human adipocytes (diabetic 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 diabetic condtion This model is described in the article: Insulin Signaling in Type 2 Diabetes: EXPERIMENTAL AND MODELING ANALYSES REVEAL MECHANISMS OF INSULIN RESISTANCE IN HUMAN ADIPOCYTES. 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. This model is hosted on BioModels Database and identified by: MODEL1304160000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: Elin Nyman  

PROVIDER: BIOMD0000000449 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Publications

Protective effect of peroxisome proliferator activator receptor (PPAR)-α and -γ ligands against methotrexate-induced nephrotoxicity.

Ibrahim Mohamed A MA   El-Sheikh Azza A K AA   Khalaf Hanaa M HM   Abdelrahman Aly M AM  

Immunopharmacology and immunotoxicology 20140213 2


<h4>Context</h4>The anticancer drug methotrexate (MTX) may cause multi-organ toxicities, including nephrotoxicity.<h4>Objective</h4>To investigate effects of peroxisome proliferator activator receptor (PPAR)-α and -γ agonists; fenofibrate (FEN) and pioglitazone (PIO), in MTX-induced nephrotoxicity in rats.<h4>Methods</h4>Rats were given FEN or PIO (150 or 5 mg/kg/day, respectively) orally for 15 days. MTX was injected as a single dose of 20 mg/kg, i.p. at day 11 of experiment, with or without ei  ...[more]