ArticleAmerican journal of physiology. Endocrinology and metabolism2010
Computational model of cellular metabolic dynamics: effect of insulin on glucose disposal in human skeletal muscle.
Article in American journal of physiology. Endocrinology and metabolism, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Virtual metabolic human dynamic model for pathological analysis and therapy design for diabetes.iScience · 2021Article
- Mechanistic inferences on metabolic dysfunction in posttraumatic stress disorder from an integrated model and multiomic analysis: role of glucocorticoid receptor sensitivity.American journal of physiology. Endocrinology and metabolism · 2019Article
- Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.Journal of diabetes science and technology · 2015Article
- Simulation predicts IGFBP2-HIF1α interaction drives glioblastoma growth.PLoS computational biology · 2015Article
- Systems mapping of metabolic genes through control theory.Advanced drug delivery reviews · 2013Article
- Synergy in free radical generation is blunted by high-fat diet induced alterations in skeletal muscle mitochondrial metabolism.Biophysical journal · 2013Article
- Model analysis of the relationship between intracellular PO2 and energy demand in skeletal muscle.American journal of physiology. Regulatory, integrative and comparative physiology · 2012Article
- Computational Model of Cellular Metabolic Dynamics in Skeletal Muscle Fibers during Moderate Intensity Exercise.Cellular and molecular bioengineering · 2012Article
- Computational modeling of the metabolic States regulated by the kinase akt.Frontiers in physiology · 2012Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
Identifying the mechanisms by which insulin regulates glucose metabolism in skeletal muscle is critical to understanding the etiology of insulin resistance and type 2 diabetes. Our knowledge of these mechanisms is limited by the difficulty of obtaining in vivo intracellular data. To quantitatively distinguish significant transport and metabolic mechanisms from limited experimental data, we developed a physiologically based, multiscale mathematical model of cellular metabolic dynamics in skeletal muscle. The model describes mass transport and metabolic processes including distinctive processes of the cytosol and mitochondria. The model simulated skeletal muscle metabolic responses to insulin corresponding to human hyperinsulinemic-euglycemic clamp studies. Insulin-mediated rate of glucose disposal was the primary model input. For model validation, simulations were compared with experimental data: intracellular metabolite concentrations and patterns of glucose disposal. Model variations were simulated to investigate three alternative mechanisms to explain insulin enhancements: Model 1 (M.1), simple mass action; M.2, insulin-mediated activation of key metabolic enzymes (i.e., hexokinase, glycogen synthase, pyruvate dehydrogenase); or M.3, parallel activation by a phenomenological insulin-mediated intracellular signal that modifies reaction rate coefficients. These simulations indicated that models M.1 and M.2 were not sufficient to explain the experimentally measured metabolic responses. However, by application of mechanism M.3, the model predicts metabolite concentration changes and glucose partitioning patterns consistent with experimental data. The reaction rate fluxes quantified by this detailed model of insulin/glucose metabolism provide information that can be used to evaluate the development of type 2 diabetes.
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