ArticleBMC systems biology2013
Computational modelling of the regulation of Insulin signalling by oxidative stress.
Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 38 citations in OpenAlex.
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- The Nrf2 Pathway Alleviates Overloading Force-Induced TMJ Degeneration by Downregulating Oxidative Stress Reactions.Journal of inflammation research · 2023Article
- Computational Models on Pathological Redox Signalling Driven by Pregnancy: A Review.Antioxidants (Basel, Switzerland) · 2022Review
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- Benchmarking optimization methods for parameter estimation in large kinetic models.Bioinformatics (Oxford, England) · 2019Article
- A Tale of Two Concepts: Harmonizing the Free Radical and Antagonistic Pleiotropy Theories of Aging.Antioxidants & redox signaling · 2018Review
- Systems modelling ageing: from single senescent cells to simple multi-cellular models.Essays in biochemistry · 2017Review
- Modelling the molecular mechanisms of aging.Bioscience reports · 2017Review
- Computational Modeling in Liver Surgery.Frontiers in physiology · 2017Review
- Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks.PLoS computational biology · 2017Article
- Computational Models of Reactive Oxygen Species as Metabolic Byproducts and Signal-Transduction Modulators.Frontiers in pharmacology · 2016Review
- Quasi-Steady-State Analysis based on Structural Modules and Timed Petri Net Predict System's Dynamics: The Life Cycle of the Insulin Receptor.Metabolites · 2015Article
- Quantitative Analysis of Robustness of Dynamic Response and Signal Transfer in Insulin mediated PI3K/AKT Pathway.Computers & chemical engineering · 2014Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundExisting 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.
resultsInsulin 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.
conclusionOur 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.