ArticleMolecular genetics and metabolism2015
Mathematical modeling of the insulin signal transduction pathway for prediction of insulin sensitivity from expression data.
Article in Molecular genetics and metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Structure, Mutation, Functional Domain Roles and Medical Implications of Glycerol Kinase.The protein journal · 2026Review
- Expression and characterisation of human glycerol kinase: the role of solubilising agents and molecular chaperones.Bioscience reports · 2023Article
- Insulin Signaling Pathway Model in Adipocyte Cells.Current pharmaceutical design · 2023Article
- High triglyceride-glucose index is associated with poor cardiovascular outcomes in Chinese acute coronary syndrome patients without diabetes mellitus who underwent emergency percutaneous coronary intervention with drug-eluting stents.Frontiers in endocrinology · 2023Article
- Physiological significance of bistable circuit design in metabolic homeostasis: role of integrated insulin-glucagon signalling network.Molecular biology reports · 2022Review
- Pancreatic ductal adenocarcinoma progression is restrained by stromal matrix.The Journal of clinical investigation · 2020Article
- Computational Analysis of Insulin-Glucagon Signalling Network: Implications of Bistability to Metabolic Homeostasis and Disease states.Scientific reports · 2019Article
- Reduced expression of Twist 1 is protective against insulin resistance of adipocytes and involves mitochondrial dysfunction.Scientific reports · 2018Article
- A simple method for identifying parameter correlations in partially observed linear dynamic models.BMC systems biology · 2015Article
- Gestational Diabetes Associated with a Novel Mutation (378-379insTT) in the Glycerol Kinase Gene.Molecular genetics and metabolism reports · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Mathematical models of biological pathways facilitate a systems biology approach to medicine. However, these models need to be updated to reflect the latest available knowledge of the underlying pathways. We developed a mathematical model of the insulin signal transduction pathway by expanding the last major previously reported model and incorporating pathway components elucidated since the original model was reported. Furthermore, we show that inputting gene expression data of key components of the insulin signal transduction pathway leads to sensible predictions of glucose clearance rates in agreement with reported clinical measurements. In one set of simulations, our model predicted that glycerol kinase knockout mice have reduced GLUT4 translocation, and consequently, reduced glucose uptake. Additionally, a comparison of our extended model with the original model showed that the added pathway components improve simulations of glucose clearance rates. We anticipate this expanded model to be a useful tool for predicting insulin sensitivity in mammalian tissues with altered expression protein phosphorylation or mRNA levels of insulin signal transduction pathway components.
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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.