Dataset Information

Mardinoglu2014 - Genome-scale metabolic model (HMR version 2.0) - human hepatocytes (iHepatocytes2322)

ABSTRACT: Mardinoglu2014 - Genome-scale metabolic model (HMR version 2.0) - human hepatocytes (iHepatocytes2322) This model is described in the article: Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease. Mardinoglu A, Agren R, Kampf C, Asplund A, Uhlen M, Nielsen J. Nat Commun 2014; 5: 3083 Abstract: Several liver disorders result from perturbations in the metabolism of hepatocytes, and their underlying mechanisms can be outlined through the use of genome-scale metabolic models (GEMs). Here we reconstruct a consensus GEM for hepatocytes, which we call iHepatocytes2322, that extends previous models by including an extensive description of lipid metabolism. We build iHepatocytes2322 using Human Metabolic Reaction 2.0 database and proteomics data in Human Protein Atlas, which experimentally validates the incorporated reactions. The reconstruction process enables improved annotation of the proteomics data using the network centric view of iHepatocytes2322. We then use iHepatocytes2322 to analyse transcriptomics data obtained from patients with non-alcoholic fatty liver disease. We show that blood concentrations of chondroitin and heparan sulphates are suitable for diagnosing non-alcoholic steatohepatitis and for the staging of non-alcoholic fatty liver disease. Furthermore, we observe serine deficiency in patients with NASH and identify PSPH, SHMT1 and BCAT1 as potential therapeutic targets for the treatment of non-alcoholic steatohepatitis. This model is hosted on BioModels Database and identified by: MODEL1402200003. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

SUBMITTER: Adil Mardinoglu

PROVIDER: MODEL1402200003 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Publications

Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease.

Mardinoglu Adil A Agren Rasmus R Kampf Caroline C Asplund Anna A Uhlen Mathias M Nielsen Jens J

Nature communications 20140101

Several liver disorders result from perturbations in the metabolism of hepatocytes, and their underlying mechanisms can be outlined through the use of genome-scale metabolic models (GEMs). Here we reconstruct a consensus GEM for hepatocytes, which we call iHepatocytes2322, that extends previous models by including an extensive description of lipid metabolism. We build iHepatocytes2322 using Human Metabolic Reaction 2.0 database and proteomics data in Human Protein Atlas, which experimentally val ...[more]

PMID: 24419221

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Project description:Non-alcoholic fatty liver disease (NAFLD) is gaining evermore importance due to rapidly rising incidence rates especially in western countries. As the disease progresses, it can develop into hepatocellular carcinoma. Related metabolic changes have been extensively studied in the past. However, the molecular mechanisms responsible for the development of fatty liver disease remain uncovered. Here we show that the basal phosphorylation of the MET receptor can be used as an indicator for hepatocyte dysregulation in fatty liver disease. Using primary hepatocytes isolated from a preclinical model fed with high-fat, high-sugar diet (Western diet; WD) or standard diet (SD), we find a strong downregulation of the PI3K-AKT pathway and upregulation of the MAPK pathway in the WD derived hepatocytes. By developing a mathematical model of HGF-induced signal transduction, calibrated with quantitative time-resolved measurements of both PI3K-AKT and MAPK pathways, we resolve molecular mechanisms responsible for these alterations. Thereby, we identify the basal MET phosphorylation rate as main driver for the altered signal transduction in WD hepatocytes that even leads to an increased proliferation behavior of the usually quiescent hepatocytes in the absence of growth factors. The adaptation of the dynamic pathway model of HGF signal transduction to patient-derived hepatocytes reveals a patient-specific variability of basal MET phosphorylation levels, which correlates with the clinical outcome of patients after liver surgery. These findings suggest that the dysregulated basal MET phosphorylation could be exploited to assess the health status of the liver and thereby inform estimation of the risk of a patient to suffer from liver failure after surgery.Non-alcoholic fatty liver disease (NAFLD) is gaining evermore importance due to rapidly rising incidence rates especially in western countries. As the disease progresses, it can develop into hepatocellular carcinoma. Related metabolic changes have been extensively studied in the past. However, the molecular mechanisms responsible for the development of fatty liver disease remain uncovered. Here we show that the basal phosphorylation of the MET receptor can be used as an indicator for hepatocyte dysregulation in fatty liver disease. Using primary hepatocytes isolated from a preclinical model fed with high-fat, high-sugar diet (Western diet; WD) or standard diet (SD), we find a strong downregulation of the PI3K-AKT pathway and upregulation of the MAPK pathway in the WD derived hepatocytes. By developing a mathematical model of HGF-induced signal transduction, calibrated with quantitative time-resolved measurements of both PI3K-AKT and MAPK pathways, we resolve molecular mechanisms responsible for these alterations. Thereby, we identify the basal MET phosphorylation rate as main driver for the altered signal transduction in WD hepatocytes that even leads to an increased proliferation behavior of the usually quiescent hepatocytes in the absence of growth factors. The adaptation of the dynamic pathway model of HGF signal transduction to patient-derived hepatocytes reveals a patient-specific variability of basal MET phosphorylation levels, which correlates with the clinical outcome of patients after liver surgery. These findings suggest that the dysregulated basal MET phosphorylation could be exploited to assess the health status of the liver and thereby inform estimation of the risk of a patient to suffer from liver failure after surgery.

Dataset Information

Mardinoglu2014 - Genome-scale metabolic model (HMR version 2.0) - human hepatocytes (iHepatocytes2322)

Publications

Genome-scale metabolic modelling of hepatocytes reveals serine deficiency in patients with non-alcoholic fatty liver disease.

Similar Datasets

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