Human adipose insulin resistance
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Adipose Tissue
DISEASE(S): Insulin Insensitivity
SUBMITTER: 
Daniel Fazakerley
LAB HEAD: David James
PROVIDER: PXD006891 | Pride | 2018-02-09
REPOSITORIES: Pride
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Project description:Insulin resistance is a major risk factor for human metabolic diseases including type 2 diabetes, cardiovascular diseases and some cancers. We analysed the proteome analyses across in vitro and in vivo models of insulin resistance to find common features of insulin resistance and identified lower expression of enzymes within the mevalonate pathway. mitochondrial CoQ was lower in all models of insulin resistance. Specifically, the coenzyme Q (CoQ) biosynthetic proteins Coq 7 and 9 were decreased in adipose tissue from a mouse model of diet-induced obesity, and mitochondrial CoQ was lower in all models of insulin resistance. Moreover, the mitochondrial content of CoQ in adipose tissue correlated positively with insulin sensitivity in obese humans. Inhibition of CoQ biosynthesis induced insulin resistance, while replenishment of CoQ restored insulin sensitivity in cell culture models and in animals, demonstrating that loss of CoQ is both necessary and sufficient for adipocyte insulin resistance. Mechanistically, loss of CoQ increased mitochondrial peroxides. These findings place defective mitochondrial CoQ homeostasis upstream of increased mitochondrial oxidants in the induction of insulin resistance in adipocytes and highlight the CoQ biosynthetic pathway as an appealing therapeutic target to combat insulin resistance.
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Project description:Smith2013 - Regulation of Insulin Signalling by Oxidative Stress
The model describes insulin signalling (in rodent adipocytes), which includes in addition to the core pathway, the transcriptional feedback through the Forkhead box type O (FOXO) transcription factor and interaction with oxidative stress.
This model is described in the article:
Computational modelling of the regulation of Insulin signalling by oxidative stress.
Smith GR, Shanley DP.
BMC Syst Biol. 2013 May 24;7:41.
Abstract:
BACKGROUND:
Existing models of insulin signalling focus on short term dynamics, rather than the longer term dynamics necessary to understand many physiologically relevant behaviours. We have developed a model of insulin signalling in rodent adipocytes that includes both transcriptional feedback through the Forkhead box type O (FOXO) transcription factor, and interaction with oxidative stress, in addition to the core pathway. In the model Reactive Oxygen Species are both generated endogenously and can be applied externally. They regulate signalling though inhibition of phosphatases and induction of the activity of Stress Activated Protein Kinases, which themselves modulate feedbacks to insulin signalling and FOXO.
RESULTS:
Insulin and oxidative stress combined produce a lower degree of activation of insulin signalling than insulin alone. Fasting (nutrient withdrawal) and weak oxidative stress upregulate antioxidant defences while stronger oxidative stress leads to a short term activation of insulin signalling but if prolonged can have other effects including degradation of the insulin receptor substrate (IRS1) and FOXO. At high insulin the protective effect of moderate oxidative stress may disappear.
CONCLUSION:
Our model is consistent with a wide range of experimental data, some of which is difficult to explain. Oxidative stress can have effects that are both up- and down-regulatory on insulin signalling. Our model therefore shows the complexity of the interaction between the two pathways and highlights the need for such integrated computational models to give insight into the dysregulation of insulin signalling along with more data at the individual level.A complete SBML model file can be downloaded from BIOMODELS (https://www.ebi.ac.uk/biomodels-main) with unique identifier MODEL1212210000.Other files and scripts are available as additional files with this journal article and can be downloaded from https://github.com/graham1034/Smith2012_insulin_signalling.
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