{"database":"BioModels","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Txt":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=curation_notes.txt"],"Pdf":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345.pdf"],"Owl":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345-biopax3.owl","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345-biopax2.owl"],"Svg":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345.svg"],"Xml":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345_url.xml","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=manifest.xml"],"Other":["https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345.m","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345.sci","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345_url.sedml","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345-octave.m","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345-matlab.m","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345.ode","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=metadata.rdf","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=curation_image.jpeg","https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000345?filename=BIOMD0000000345.png"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"submitter":["Ishan Ajmera"],"curationStatus":["Manually curated"],"modellingApproach":["ordinary differential equation model"],"disease":["Diabetes Mellitus"],"levelVersion":["L2V4"],"full_dataset_link":["https://www.ebi.ac.uk/biomodels/BIOMD0000000345"],"publication_pubmed":["18477391"],"isPrivate":["false"],"repository":["BioModels"],"omics_type":["Models"],"modelFormat":["SBML"],"tokenised_name":["Koschorreck2008 InsulinClearance"],"publication_year":["2008"],"submissionId":["MODEL1108040000"],"first_author":["Markus Koschorreck"],"publication_authors":["Markus Koschorreck, Ernst Dieter Gilles"],"publication":["18477391,\n                            <h4>Background</h4>Analyzing the dynamics of insulin concentration in the blood is necessary for a comprehensive understanding of the effects of insulin in vivo. Insulin removal from the blood has been addressed in many studies. The results are highly variable with respect to insulin clearance and the relative contributions of hepatic and renal insulin degradation.<h4>Results</h4>We present a dynamic mathematical model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. The model describes renal and hepatic insulin degradation, pancreatic insulin secretion and nonspecific insulin binding in the liver. Hepatic insulin receptor activation by insulin binding, receptor internalization and autophosphorylation is explicitly included in the model. We present a detailed mathematical analysis of insulin degradation and insulin clearance. Stationary model analysis shows that degradation rates, relative contributions of the different tissues to total insulin degradation and insulin clearance highly depend on the insulin concentration.<h4>Conclusion</h4>This study provides a detailed dynamic model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. Experimental data sets from literature are used for the model validation. We show that essential dynamic and stationary characteristics of insulin degradation are nonlinear and depend on the actual insulin concentration.. null, 2.\n                            Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr, 1, 39106 Magdeburg, Germany. koschorreck@mpi-magdeburg.mpg.de"],"submitter_mail":["ajmera@ebi.ac.uk"],"submitter_affiliation":["EMBL-EBI"],"publicationId":["BIOMD0000000345"],"pubmed_abstract":["<h4>Background</h4>Analyzing the dynamics of insulin concentration in the blood is necessary for a comprehensive understanding of the effects of insulin in vivo. Insulin removal from the blood has been addressed in many studies. The results are highly variable with respect to insulin clearance and the relative contributions of hepatic and renal insulin degradation.<h4>Results</h4>We present a dynamic mathematical model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. The model describes renal and hepatic insulin degradation, pancreatic insulin secretion and nonspecific insulin binding in the liver. Hepatic insulin receptor activation by insulin binding, receptor internalization and autophosphorylation is explicitly included in the model. We present a detailed mathematical analysis of insulin degradation and insulin clearance. Stationary model analysis shows that degradation rates, relative contributions of the different tissues to total insulin degradation and insulin clearance highly depend on the insulin concentration.<h4>Conclusion</h4>This study provides a detailed dynamic model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. Experimental data sets from literature are used for the model validation. We show that essential dynamic and stationary characteristics of insulin degradation are nonlinear and depend on the actual insulin concentration."],"pubmed_title":["Mathematical modeling and analysis of insulin clearance in vivo."],"pubmed_authors":["Koschorreck Markus M, Gilles Ernst Dieter ED"],"additional_accession":[]},"is_claimable":false,"name":"Koschorreck2008_InsulinClearance","description":"\n      \n        \n      This model is from the article:\n      \n         Mathematical modeling and analysis of insulin clearance in vivo.\n\n        \nKoschorreck M, Gilles ED.\n      BMC Syst Biol. 2008 May 13;2:43.\n          18477391,\n      \n        Abstract:\n        \nBACKGROUND:\n\nAnalyzing the dynamics of insulin concentration in the blood is necessary for a comprehensive understanding of the effects of insulin in vivo. Insulin removal from the blood has been addressed in many studies. The results are highly variable with respect to insulin clearance and the relative contributions of hepatic and renal insulin degradation.\nRESULTS:\n\nWe present a dynamic mathematical model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. The model describes renal and hepatic insulin degradation, pancreatic insulin secretion and nonspecific insulin binding in the liver. Hepatic insulin receptor activation by insulin binding, receptor internalization and autophosphorylation is explicitly included in the model. We present a detailed mathematical analysis of insulin degradation and insulin clearance. Stationary model analysis shows that degradation rates, relative contributions of the different tissues to total insulin degradation and insulin clearance highly depend on the insulin concentration.\nCONCLUSION:\n\nThis study provides a detailed dynamic model of insulin concentration in the blood and of insulin receptor activation in hepatocytes. Experimental data sets from literature are used for the model validation. We show that essential dynamic and stationary characteristics of insulin degradation are nonlinear and depend on the actual insulin concentration. \n        This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.\nFor more information see the terms of use.\nTo cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.\n      \n    \n  ","dates":{"last_modification":"2024-08-21","publication":"2024-09-02","submission":"2011-08-04"},"accession":"BIOMD0000000345","cross_references":{"reactome":["REACT_3518.1","REACT_4536.1","REACT_3057.1","REACT_3854.1","REACT_599.1","REACT_3809.1","REACT_4836.1"],"pubmed":["18477391"],"biomodels__db":["MODEL1108040000","BIOMD0000000345"],"go":["GO:1900076","GO:0005009","GO:0038016","GO:0005899","GO:0016088","GO:0043559","GO:0038020","GO:0030073","GO:0005102","GO:0016310","GO:0006897"],"taxonomy":["9606"],"bto":["BTO:0000575","BTO:0000089"],"uniprot":["P06213","P01308"]}}