Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA176226 | ENA |
REPOSITORIES: ENA
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Project description: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.
2024-09-02 | BIOMD0000000449 | BioModels
Project 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:
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: MODEL1304190000
.
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.
2024-09-02 | BIOMD0000000448 | BioModels
Project description:Human Insulin Resistance and Thiazolidinedione-Mediated Insulin Sensitization
| PRJNA109687 | ENA
Project description:Expression profiling of 3T3-F442A adipocytes treated with growth hormone (GH, 500 nM) or vehicle (DMEM + 1% BSA) control for 30 min., 4 hr., or 48 hr in three independent experiments. Chronic GH treatment induces metabolic changes consistent with insulin resistance in 3T3-F442A adipocytes.
2007-09-21 | E-GEOD-2120 | biostudies-arrayexpress
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
2010-09-25 | GSE24338 | GEO
Project description:The chronic inflammatory state that accompanies obesity is a major contributor to insulin resistance and other metabolic dysfunction features. Despite recent advances in our understanding of the cellular and secreted factors that promote the inflammatory milieu of obesity, we have much less insight into the transcriptional pathways that drive these processes. While most attention has focused on the canonical inflammatory transcription factor NF-KB, other potentially important factors exist, including members of the interferon regultory factor (IRF) family. Here we show that IRF3 expression is upregulated in the adipocytes of obese mice and humans. TLR3/TLR4 activation induces insulin resistance in adipocytes, which can be prevented by IRF3 knockdown. Furthermore, Irf3KO mice display improved insulin sensitivity, associated with reduced intra-adipose and systemic inflammation in the high-fat fed state, enhanced browning of subcutaneous fat, and increased adipose expression of Glut4. Taken together, our data indicates that IRF3 is a major transcriptional regulator of adipose inflammation to maintain systemic glucose and energy homeostasis. Transcriptional profiling of murine 3T3-L1 adipocytes with altered expression of IRF3. Overexpression or knockdown of IRF3 was achieved by lentivirus transduction for 6 days. 3T3-L1 adipocytes with IRF3 knockdown were further treated in the absence or presence of LPS for 6 days. Samples consist of triplicate replica with appropriate control.
2016-05-31 | E-GEOD-81193 | biostudies-arrayexpress
Project description:The effects of LXR stimulation by GW3965 treatment on global mRNA and miRNA expression in primary human in vitro differentiated adipocytes was investigated using microarray profiling.
2012-09-29 | GSE41223 | GEO
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression.
2011-02-19 | GSE20463 | GEO
Project description: Not available
| S-EPMC2531291 | biostudies-literature
Project description:While adipocytes are critical pillars of energy metabolism, their dysfunction is linked to adipose tissue (AT) inflammation, insulin resistance, and ectopic lipotoxicity in cardiometabolic diseases. However, he mechanisms causing adipocyte inflammation and insulin resistance remain unclear. Here, we show that excess cholesterol induces adipocyte dysfunction, which is suppressed by the transcription factor Nfe2l1 (nuclear factor erythroid derived-2, like-1). Nfe2l1 is required to sustain proteasome function in adipocytes and proteotoxic stress induces adipocyte inflammation via the activation of Atf3. In humans, the Nfe2l1-proteasome pathway is inversely correlated to body mass index (BMI) in an adipose-depot specific manner. In mice, loss of adipocyte Nfe2l1 caused AT inflammation with a pronounced infiltration of macrophages and T cells. Mice lacking adipocyte Nfe2l1 displayed severe adipocyte dysfunction during diet-induced obesity (DIO), characterized by lower adipokine levels, steatosis, glucose intolerance and insulin resistance. Nfe2l1ΔAT mice on an Apoe-deficient (Apoe-/-) background fed a cholesterol-rich Western Diet (WD), developed a lipoatrophy-like syndrome, dyslipidemia, and enhanced atherosclerosis. Our results reveal an important role for proteasome-mediated proteostasis in adipocytes and indicate that Nfe2l1 is linked to metabolic health in humans and preclinical mouse models. Promoting proteostasis in adipocytes may thus alleviate inflammation in obesity, potentially averting adverse cardiometabolic outcomes.
2024-07-30 | GSE273101 | GEO