Effect of insulin on the stromal and adipocyte cells within hMSC derived adipocytes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE24422 | GEO | 2010/11/30
SECONDARY ACCESSION(S): PRJNA132729
REPOSITORIES: GEO
Similar Datasets
Project description:There are an estimated 21million diabetics in the United States and 150 million diabetics worldwide. The World Health Organization anticipates that these numbers will double in the next 20 years. Metabolic syndrome is a well recognized set of symptoms that increases a patient’s risk of developing diabetes. Insulin resistance is a factor in both metabolic syndrome and Type 2 diabetes. It is characterized by decreased insulin stimulated glucose uptake in peripheral tissues, decreased adiponectin levels, increased adipocyte FFA and cytokine production, and increased insulin and hepatic glucose output. Prevention or reversal of insulin resistance should serve as an important strategy in addressing the growing health concerns posed by the Diabetes epidemic. While increased adiposity is associated with insulin resistance, the role of the cell types present within adipose (adipocytes, pre-adipocytes, endothelial cells, macrophages, fibroblasts, leukocytes and smooth muscle cells) in insulin resistance is unclear. In an effort to begin dissection of this question, we examined the transcriptional response of the buoyant and non-buoyant fractions isolated from insulin sensitive or TNF induced insulin resistant hMSC derived adipocytes before and after treatment with insulin. hMSC derived adipocytes were treated with 0 or 10ng/ml TNF for 24 hours to induce insulin resistance and subsequently serum starved for 5 h followed by treatment with 0 or 20nM insulin for 2 hours. At the end of the incubation period, cells were harvested as is (mixed) or subjected to fractionation to separate the adipocytes (buoyant fraction) and the stromal cells (non-buoyant fraction). These isolated cells were resuspended in RLT buffer to prepare lysates for total RNA isolation using the Qiagen RNeasy kit. Total RNA was submitted to GeneLogic for cRNA preparation using the Affymetrix GenChip IVT kit and hybridization to Affymetrix U133 Plus 2.0 arrays.
2010-11-30 | E-GEOD-24422 | biostudies-arrayexpress
Project description:The current study aimed to address the hypothesis that programmed expression of key miRNAs in skeletal muscle mediates the development of insulin resistance, and consequently long-term health. We thus examined microRNA signatures in skeletal muscle of unmedicated newly diagnosed human pre-diabetics and type 2 diabetics. Skeletal muscle biopsies were obtained from the vastus lateralis from males with pre-diabetes (PD, n=5) or type 2 diabetes mellitus (T2DM, n=6) along with age and sex-matched healthy volunteers (H, n=5). Ramaciotti Centre for Genomics (UNSW, sydney, Australia)
2015-04-25 | E-GEOD-68224 | biostudies-arrayexpress
Project description:First version (1.0) of the Eindhoven Diabetes Simulator (EDES) model, describing postprandial glucose and insulin dynamics for a healthy human. Model can also be used to simulate insulin resistance (pre-diabetes, Metabolic Syndrome) and Type 2 Diabetes Mellitus (T2DM). Next to simulating a meal, the model can simulate oral glucose tolerance tests (OGTT's).
2024-03-08 | MODEL2403070001 | BioModels
Project description:Women with diabetes have a higher prevalence of cardiovascular complications than men, suggesting that sex-steroid hormones like estrogen may impact on female health in diabetes. Here we demonstrate that estrogen suppletion and insulin resistance in male-to-female transgenders coincides with lower plasma levels of miR-224 and miR-452 carried in extracellular vesicles. Systemic silencing of miR-224 and miR-452 in mice triggered a prediabetic phenotype with higher plasma insulin levels, increased white adipose lipogenesis and less glucose uptake and mitochondrial respiration in brown adipose tissue. Consistent with a prediabetic metabolic state, RNA sequencing demonstrated differential expression of genes involved in lipogenesis in white adipose tissue and mitochondrial respiration and glucose uptake in brown adipose tissue. In vitro studies confirmed the estrogen-dependent lowering of miR-224 (brown adipocytes) and miR-452 (white adipocytes) and their impact on adipocyte-specific metabolic processes. Collectively, we identified novel estrogen-driven, post-transcriptional networks that could drive the progression to insulin resistance in transwomen and provide potential anti-diabetic therapeutic targets in women.
2020-12-01 | GSE147965 | GEO
Project description:Women with diabetes have a higher prevalence of cardiovascular complications than men, suggesting that sex-steroid hormones like estrogen may impact on female health in diabetes. Here we demonstrate that estrogen suppletion and insulin resistance in male-to-female transgenders coincides with lower plasma levels of miR-224 and miR-452 carried in extracellular vesicles. Systemic silencing of miR-224 and miR-452 in mice triggered a prediabetic phenotype with higher plasma insulin levels, increased white adipose lipogenesis and less glucose uptake and mitochondrial respiration in brown adipose tissue. Consistent with a prediabetic metabolic state, RNA sequencing demonstrated differential expression of genes involved in lipogenesis in white adipose tissue and mitochondrial respiration and glucose uptake in brown adipose tissue. In vitro studies confirmed the estrogen-dependent lowering of miR-224 (brown adipocytes) and miR-452 (white adipocytes) and their impact on adipocyte-specific metabolic processes. Collectively, we identified novel estrogen-driven, post-transcriptional networks that could drive the progression to insulin resistance in transwomen and provide potential anti-diabetic therapeutic targets in women.
2020-12-01 | GSE147872 | GEO
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.
2013-04-19 | BIOMD0000000448 | BioModels
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.
2013-04-19 | BIOMD0000000449 | BioModels
Project description:Adipocytes are key regulators of human metabolism, and their dysfunction in insulin signaling is central to metabolic diseases including type II diabetes mellitus (T2D). However, the progression of insulin resistance into T2D is still poorly understood. This limited understanding is due, in part, to the dearth of suitable models of insulin signaling in human adipocytes. Traditionally, adipocyte models fail to recapitulate in vivo insulin signaling, possibly due to exposure to supraphysiological nutrient and hormone conditions. We developed a protocol for hPSC-derived adipocytes that uses physiological nutrient conditions to produce a potent insulin response comparable to in vivo adipocytes. After systematic optimization, this protocol allows robust insulin-stimulated glucose uptake and transcriptional insulin response. Furthermore, exposure of sensitized adipocytes to physiological hyperinsulinemia dampens insulin-stimulated glucose uptake and dysregulates insulin-responsive transcription. Overall, our methodology provides a novel platform for the mechanistic study of insulin signaling and resistance using human pluripotent stem cell-derived adipocytes.
2022-06-17 | GSE201908 | GEO
Project description:The liver plays a central role in whole-body lipid and glucose homeostasis. Increasing dietary fat intake results in increased hepatic fat deposition, which is associated with a risk for development of insulin resistance and type 2 diabetes. In this study, we demonstrate a role for the phosphate inorganic transporter 1 (PiT1/SLC20A1) in regulating metabolism. Specific knockout of Pit1 in hepatocytes significantly improved glucose tolerance and insulin sensitivity, enhanced insulin signalling, and decreased hepatic lipogenesis. We identified USP7 as a PiT1 binding partner and demonstrated that Pit1 deletion inhibited USP7/IRS1 dissociation upon insulin stimulation. This prevented IRS1 ubiquitination and its subsequent proteasomal degradation. As a consequence delayed insulin negative feedback loop and sustained insulin signalling were observed. Moreover, PiT1-deficient mice were protected against high fat diet-induced obesity and diabetes. Our findings indicate that PiT1 has potential as a therapeutic target in the context of metabolic syndrome, obesity, and diabetes.
2016-08-25 | E-MTAB-4989 | biostudies-arrayexpress
Project description:Discovery of genetic mechanisms of resistance to obesity and diabetes may illuminate new therapeutic strategies to tackle this escalating global health burden. We used the polygenic Lean mouse model, selected for low adiposity over 60 generations, to identify thiosulfate sulfur transferase (Tst, rhodanese) as a candidate obesity-resistance gene with selectively increased adipocyte expression. Adipose Tst expression correlated with indices of metabolic health across diverse mouse strains. Transgenic overexpression of Tst in adipocytes protected mice from diet-induced obesity and insulin-resistant diabetes. Tst gene deficiency markedly exacerbated diabetes whereas pharmacological TST activation ameliorated diabetes in mice in vivo. TST selectively augmented mitochondrial function combined with degradation of reactive oxygen species and sulfide. In humans, adipose TST mRNA correlated positively with adipose insulin sensitivity and negatively with fat mass. Genetic identification of Tst as a beneficial regulator of adipocyte mitochondrial function may have therapeutic significance for type 2 diabetes.
2016-04-11 | GSE80162 | GEO