ABSTRACT: Genome sequencing project for further understanding the molecular mechanisms of preventing non-alcoholic fatty liver disease Genome sequencing and assembly
Project description: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.
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Project description:Alcoholic liver diseases (ALDs) encompass a broad spectrum of clinical features of alcoholic fatty liver, alcoholic steatohepatitis and cirrhosis, and increased risk of hepatocellular carcinoma. While the toxic effects of alcohol likely result from complex interactions between genes and the environment, the molecular mechanisms of alcohol-induced liver damage remains undefined. Thus, a better understanding of the mechanisms regulating hepatic cell injury may lead to more effective therapeutic approaches for ALD. Here we compared the miRNA expression profile from tissues from control mice and mice receiving intragastric ethanol feeding. Four microarray hybridization studies were performed on three different pairs of liver-derived RNA from intragastric ethanol feeding and normal mice. The miRNAs differentially overexpressed in livers from ethanol fed mice.
Project description:Global gene expression patterns of 2 human steatosis and 9 human non-alcoholic steatohepatitis (NASH) together with their respective control patterns were analyzed to define the non-alcoholic fatty liver disease (NAFLD) progression molecular characteristics and to define NASH early markers from steatosis. Human liver samples of steatosis and non-alcoholic steatohepatitis were selected for RNA extraction and hybridization on Affymetrix microarrays. This dataset is part of the TransQST collection.
Project description:Global gene expression patterns of 2 human steatosis and 9 human non-alcoholic steatohepatitis (NASH) together with their respective control patterns were analyzed to define the non-alcoholic fatty liver disease (NAFLD) progression molecular characteristics and to define NASH early markers from steatosis.
Project description:Non-alcoholic fatty liver disease (NAFLD) comprises a collection of chronic liver disorders distinguished by the excessive accumulation of lipids within hepatocytes and the presence of steatosis. It covers a range of liver conditions that vary from simple steatosis (non-alcoholic fatty liver, NAFL) to non-alcoholic steatohepatitis (NASH). In this study, hepatic gene expression was compared among 6 patients with NAFL, 4 with NASH, and 6 healthy controls. All of these samples were collected prior to the liver transplantation procedure. Subsequently, differential genes were identified through comparative analysis of sequencing results, and target genes potentially related to the pathogenesis of NAFLD were further investigated. Numerous potential target genes and pathways have been identified in NAFLD, providing potential targets for therapeutic interventions.
Project description:Non-alcoholic fatty liver disease is continuum of disorders among which non-alcoholic steatohepatitis (NASH) is particularly associated with a negative prognosis. Hepatocyte lipotoxicity is one of the main pathogenic factors of liver fibrosis and NASH. However, the molecular mechanisms regulating this process are poorly understood. Here, we integrated transcriptomic and chromatin accessibility analyses from human liver and mouse hepatocytes to identify lipotoxicity-sensitive transcription factors. We found that several transcription factors that were activated in liver from NASH patients and by mouse hepatocyte lipotoxicity. Notably, the gene expression linked to lipotoxicity closely correlated with transcriptional patters in fibrosis progression in NASH patients. Collectively, our findings uncovered novel molecular insights into lipotoxicity-induced NASH.
Project description:Non-alcoholic fatty liver disease is continuum of disorders among which non-alcoholic steatohepatitis (NASH) is particularly associated with a negative prognosis. Hepatocyte lipotoxicity is one of the main pathogenic factors of liver fibrosis and NASH. However, the molecular mechanisms regulating this process are poorly understood. Here, we integrated transcriptomic and chromatin accessibility analyses from human liver and mouse hepatocytes to identify lipotoxicity-sensitive transcription factors. We found that several transcription factors that were activated in liver from NASH patients and by mouse hepatocyte lipotoxicity. Notably, the gene expression linked to lipotoxicity closely correlated with transcriptional patters in fibrosis progression in NASH patients. Collectively, our findings uncovered novel molecular insights into lipotoxicity-induced NASH.
Project description:Non-alcoholic fatty liver disease is continuum of disorders among which non-alcoholic steatohepatitis (NASH) is particularly associated with a negative prognosis. Hepatocyte lipotoxicity is one of the main pathogenic factors of liver fibrosis and NASH. However, the molecular mechanisms regulating this process are poorly understood. Here, we integrated transcriptomic and chromatin accessibility analyses from human liver and mouse hepatocytes to identify lipotoxicity-sensitive transcription factors. We found that the transcription factors MAFK and TCF4 were activated in liver from NASH patients and by mouse hepatocyte lipotoxicity. Genetic deletion of these transcription factors protected hepatocytes against saturated fatty acid oversupply. Notably, MAFK- and TCF4-regulated gene expression linked to lipotoxicity closely correlated with transcriptional patters in fibrosis progression in NASH patients. Collectively, our findings uncovered novel molecular insights into lipotoxicityinduced NASH, revealing the relevance and therapeutic potential of MAFK and TCF4 in human disease.
Project description:Non-alcoholic fatty liver (NAFL) has the potential to progress to non-alcoholic steatohepatitis (NASH) or to promote type 2 diabetes mellitus (T2DM). However, NASH and T2DM do not always develop coordinately. We established rat models of NAFL, NASH, and NAFL + T2DM to recapitulate different phenotypes associated with NAFLD and its progression. Microarrays were used to identify hepatic gene expression changes in each of these models. The goal is to identify a predictor of different NAFLD progressions. Non-alcoholic fatty liver disease (NAFLD) is recognized as a low-grade systemic inflammatory state with both hepatic and extra-hepatic manifestations. We aimed to identify common key regulators and adaptive pathways in different NAFLD phenotypes. NAFL, NASH and NAFL+T2DM rat models were used to represent simple fatty liver, fatty liver with severe hepatic manifestations, and fatty liver with severe metabolic manifestations, respectively. We applied microarray analysis to characterize the key regulators and adaptive pathways in different NAFLD phenotypes. There are 12 samples in our study which belonged to 4 groups, and each group contains 3 different samples.
Project description:Non-alcoholic fatty liver disease (NAFLD) is characterized by a series of pathological changes that can progress from simple fatty liver disease to non-alcoholic steatohepatitis (NASH). The objective of this study is to describe changes in global gene expression associated with the progression of NAFLD. This study is focused on the expression levels of genes responsible for the absorption, distribution, metabolism and excretion (ADME) of drugs. Differential gene expression between three clinically defined pathological groups; normal, steatosis and NASH was analyzed. The samples were diagnosed as normal, steatotic, NASH with fatty liver (NASH fatty) and NASH without fatty liver (NASH NF). Genome-wide mRNA levels in samples of human liver tissue were assayed with Affymetrix GeneChipM-. Human 1.0ST arrays