Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Phosphoproteomics reveals rewiring of the insulin signaling network and multi-nodal defects in insulin resistance

ABSTRACT: Here we employed phosphoproteomics to delineate insulin signal transduction in adipocyte cells and adipose tissue. Across a range of insults triggering insulin resistance, we observed marked rewiring of the insulin signaling network. This included both attenuated insulin-responsive phosphorylation, and the emergence of phosphorylation uniquely insulin-regulated in insulin resistance. Identifying dysregulated phosphosites common to multiple insults revealed subnetworks containing novel regulators of insulin action, such as MARK2/3, and causal drivers of insulin resistance. The presence of several GSK3 substrates among these phosphosites led us to establish a pipeline for identifying context-specific kinase substrates. This revealed widespread dysregulation of GSK3 signaling. Pharmacological inhibition of GSK3 partially reversed insulin resistance in cells and tissue explants. These data highlight that insulin resistance is multi-nodal signaling defect that includes dysregulated GSK3 activity.

INSTRUMENT(S): Q Exactive HF-X, Orbitrap Exploris 480, Q Exactive HF

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): White Fat Cell, White Adipose Tissue

DISEASE(S): Type 2 Diabetes Mellitus

SUBMITTER: Sean Humphrey

LAB HEAD: Sean Humphrey

PROVIDER: PXD032913 | Pride | 2023-02-17

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Similar Datasets

Transcriptional regulation of insulin action and sensitivity via a GSK3β-FBXW7-ERRα axis

Project description:Insulin resistance, a harbinger of the metabolic syndrome, is a state of compromised hormonal response for which transcriptional dysregulation is a major contributor. Genetic or pharmacological inhibition of the nuclear receptor ERRα preserves insulin sensitivity during diet-induced obesity. However, how ERRα integrates insulin signaling at the molecular level with whole body metabolism remains unknown. Herein, we reveal that insulin-mediated gene expression requires the nuclear stabilization of ERRα through a GSK3β/FBXW7 axis. Liver-specific deletion of GSK3β or FBXW7 or mice harboring mutations of ERRα phosphosites (ERRα3SA) co-targeted by GSK3β/FBXW7 result in accumulated ERRα proteins that no longer respond to insulin. ERRα3SA mice display reprogrammed liver and muscle transcriptomes, resulting in insulin resistance and compromised metabolic homeostasis, effects largely reversed by pharmacological inhibition of ERRα. These findings uncovered a previously unrecognised ERRα-dependent insulin regulatory pathway that could be targeted to improve insulin resistance and associated metabolic diseases.

2022-03-16 | GSE182000 | GEO

Rescue of insulin receptor condensates in insulin resistant cells

Project description:Insulin resistance is accompanied by chronic hyperinsulinemia and is associated with type 2 diabetes and other metabolic syndromes in a substantial portion of the population. The risk factors and features of insulin resistance have been thoroughly described but its mechanistic triggers are still under study. Here we consider a condensate model for insulin receptor (IR) function in normal conditions and when dysregulated in chronic hyperinsulinemia-induced insulin resistance. We find that IR is incorporated into liquid-like condensates at the plasma membrane, in the cytoplasm and in the nucleus of liver cells, and provide evidence for insulin-dependent IR function in condensates. Insulin stimulation promotes further incorporation of IR into these dynamic condensates in insulin sensitive cells, which form and dissolve on short, sub-minute time-scales. In contrast, insulin stimulation does not promote further incorporation of IR into condensates in insulin resistant cells, where IR molecules within condensates exhibit less dynamic behavior. Metformin treatment of insulin resistant cells rescues IR condensate dynamics and insulin responsiveness. Insulin resistant cells experience high levels of oxidative stress, which causes reduced condensate dynamics, and treatment of these cells with metformin reduces ROS levels and returns condensates to their normal dynamic behavior. The condensate model we propose can account for features of normal and dysregulated insulin response and has implications for improved therapeutic approaches to insulin resistance.

2023-07-28 | GSE181096 | GEO

Transcriptional responses of mouse adipocytes during insulin resistance

Project description:Insulin resistance is a sine qua non of Type 2 diabetes (T2D) and a frequent complication of multiple clinical conditions, including obesity, aging, and steroid use, among others. How such a panoply of insults can result in a common phenotype is incompletely understood. Furthermore, very little is known about the transcriptional and epigenetic basis of this disorder, despite evidence that such pathways are likely to play a fundamental role. Here, we compare cell autonomous models of insulin resistance induced by the cytokine tumor necrosis factor-a (TNF) or by the steroid dexamethasone (Dex) to construct detailed transcriptional profiles associated with cellular insulin resistance. Gene expression data from mouse adipocyte, with TNF or Dex treatments at different time points. Murine 3T3-L1 adipocytes were treated separately with dexamethasone (Dex; 20nM) or tumor necrosis factor-alpha. To comprehensively assess gene expression changes caused by Dex and TNF in a time-dependent manner, we profiled cells at early (2 hours), intermediate (24 hours), and late (6 days) points in the development of insulin resistance.

2014-12-23 | E-GEOD-62635 | biostudies-arrayexpress

Characterizing the profiles of histone markers in mouse adipocytes during insulin resistance

Project description:Insulin resistance is a sine qua non of Type 2 diabetes (T2D) and a frequent complication of multiple clinical conditions, including obesity, aging, and steroid use, among others. How such a panoply of insults can result in a common phenotype is incompletely understood. Furthermore, very little is known about the transcriptional and epigenetic basis of this disorder, despite evidence that such pathways are likely to play a fundamental role. Here, we compare cell autonomous models of insulin resistance induced by the cytokine tumor necrosis factor-a (TNF) or by the steroid dexamethasone (Dex) to construct detailed epigenomic maps associated with cellular insulin resistance. Murine 3T3-L1 adipocytes were treated separately with dexamethasone (Dex; 20nM) or tumor necrosis factor-alpha. To comprehensively assess epigenomic changes caused by Dex and TNF in a time-dependent manner, we profiled cells at early (2 hours), intermediate (24 hours), and late (6 days) points in the development of insulin resistance.

2014-12-23 | E-GEOD-58491 | biostudies-arrayexpress

Transcriptional responses of mouse adipocytes during insulin resistance

2014-12-23 | GSE62635 | GEO

Characterizing the profiles of histone markers in mouse adipocytes during insulin resistance

2014-12-23 | GSE58491 | GEO

MetaboLights MTBLS582 - GNPS Global Analyses of Selective Insulin Resistance in Hepatocytes due to Palmitate Lipotoxicity

Project description:This data set was downloaded from MetaboLights (http://www.ebi.ac.uk/metabolights/) accession number MTBLS582 Abstract:Obesity is tightly linked to hepatic steatosis and insulin resistance. One feature of this association is the paradox of selective insulin resistance: insulin fails to suppress hepatic gluconeogenesis but activates lipid synthesis in the liver. How lipid accumulation interferes selectively with some branches of hepatic insulin signaling is not well understood. Here we provide a resource, based on unbiased approaches and established in a simple cell culture system, to enable investigations of the phenomenon of selective insulin resistance. We analyzed the phosphoproteome of insulin treated human hepatoma cells and identified sites in which palmitate selectively impairs insulin signaling. As an example, we show that palmitate interferes with insulin signaling to FoxO1, a key transcription factor regulating gluconeogenesis, and identify a possible mechanism. This model system, together with our comprehensive characterization of the proteome, phosphoproteome, and lipidome changes in response to palmitate treatment, provides a novel and useful resource for unraveling the mechanisms underlying selective insulin resistance.

2018-08-07 | MSV000082778 | GNPS

Impact of Preoperative Oral Branched-chain Amino Acids on Reducing Postoperative Insulin Resistance.

Project description:Postoperative insulin resistance refers to the phenomenon that the body’s glucose uptake stimulated by insulin is reduced due to stress effects such as trauma or the inhibitory effect of insulin on liver glucose output is weakened after surgery. There is a clear link between postoperative insulin resistance and poor perioperative prognosis. Therefore, exploring interventions to reduce postoperative stress insulin resistance, stabilize postoperative blood glucose, and reduce postoperative complications are clinical problems that need to be solved urgently. In recent years, research on branched-chain amino acids and metabolic diseases has become a hot spot. Studies have found that in the rat model, preoperatively given a high branched-chain amino acid diet can inhibit postoperative insulin resistance and stabilize blood glucose levels. This research plan is to try to add branched-chain amino acids before surgery to observe the occurrence of postoperative insulin resistance in patients.

| 2744698 | ecrin-mdr-crc

Reduced circulating insulin enhances insulin sensitivity in old mice and extends lifespan

Project description:The causal relationships between insulin levels, insulin resistance, and longevity are not fully elucidated. Genetic down-regulation of insulin/insulin-like growth factor 1 (Igf1) signaling components can extend invertebrate and mammalian lifespan, but insulin resistance, a natural form of decreased insulin signaling, is associated with greater risk of age-related disease in mammals. We compared Ins2+/- mice to Ins2+/+ littermate controls, on a genetically stable Ins1-null background. Proteomic and transcriptomic analyses of livers from 25 week-old mice suggested potential for healthier aging and altered insulin sensitivity in Ins2+/- mice. Halving Ins2 lowered circulating insulin by 25-34% in aged female mice, without altering Igf1 or circulating Igf1. Remarkably, decreased insulin led to lower fasting glucose and improved insulin sensitivity in aged mice. Moreover, lowered insulin caused significant lifespan extension, observed across two diverse diets. Our study indicates that elevated insulin contributes to age-dependent insulin resistance, and that limiting basal insulin levels can extend lifespan.

2017-05-31 | GSE99440 | GEO

The dynamic clustering of insulin receptor underlies its signaling and is disrupted in insulin resistance

Project description:Insulin receptor (IR) signaling is central to normal metabolic control and is dysregulated in metabolic diseases such as type 2 diabetes. We report here that IR is incorporated into dynamic clusters at the plasma membrane, in the cytoplasm and in the nucleus of human hepatocytes and adipocytes. Insulin stimulation promotes further incorporation of IR into these dynamic clusters in insulin-sensitive cells but not in insulin-resistant cells, where both IR accumulation and dynamic behavior are reduced. Treatment of insulin-resistant cells with metformin, a first-line drug used to treat type 2 diabetes, can rescue IR accumulation and the dynamic behavior of these clusters. This rescue is associated with metformin’s role in reducing reactive oxygen species that interfere with normal dynamics. These results indicate that changes in the physico-mechanical features of IR clusters contribute to insulin resistance and have implications for improved therapeutic approaches.

2022-12-05 | MTBLS6505 | MetaboLights

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data