Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: MTBLS174
PROVIDER: PRJNA198657 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:With an estimated prevalence of about 30% in western countries non-alcoholic fatty liver disease (NAFLD) is a major public health issue [PMID: 18956290]. NAFLD is associated with the metabolic syndrome of insulin resistance, obesity, glucose intolerance. Although many studies are pointing to an induction of insulin resistance by NAFLD causality between both phenotypes is not fully clarified. Furthermore, mechanisms leading to strongly differing progression of NAFLD have to be elucidated which range from mild steatosis up to severe steatohepatitis. Steatohepatitis might even result in liver cirrhosis and hepatocellular carcinoma. Additional complexity is introduced into the understanding of the disease by recent studies providing evidence for a direct development of carcinoma from steatosis without the formerly assumed intermediary phase of cirrhosis. Here, we investigate liver samples from patients with varying severities of steatosis in an integrative approach employing transcriptomics, serum biomarker profling, metabolomics data and systems biology models. Total RNA obtained from hepatocytes derived from nine obese patients with distinct grades of steatosis. This dataset is part of the TransQST collection.
2015-11-01 | E-GEOD-46300 | biostudies-arrayexpress
Project description:FLORINASH - The role of intestinal microflora in non-alcoholic fatty liver disease (NAFLD) EU FP7-HEALTH, project number 241913<br>Florinash examined the role on the gut microbiota in NAFLD. Metagenomic, proteomic, metabolomic and transcriptomic data were integrated to give provide a systems biology approach to disease-associated studies. Liver biopsies were obtained from patients undergoing bariatric surgery; one was used to diagnose NAFLD, the other was used to examine the host transcriptome in NAFLD. This dataset is part of the TransQST collection.
2018-03-15 | E-MTAB-4856 | biostudies-arrayexpress
Project description:Nuclear receptor-mediated alleviation of alcoholic fatty liver by polyphenols contained in alcoholic beverages
2015-07-31 | E-GEOD-52644 | ExpressionAtlas
Project description:Expression data from human non-alcoholic fatty liver disease stages
2025-01-24 | E-GEOD-63067 | ExpressionAtlas
Project description:Systems biology approaches reveal low-dose effects of nanoparticles
2025-01-23 | E-MTAB-2397 | ExpressionAtlas
Project description:Non-alcoholic fatty liver disease (NAFLD) is a consequence of sedentary life style and high fat diets with an estimated prevalence of about 30% in western countries. It is associated with insulin resistance, obesity, glucose intolerance and drug toxicity. Additionally, polymorphisms in, e.g. APOC3, PNPLA3, NCAN and PPP1R3B, correlate with NAFLD. Several studies have already investigated later stages of the disease. This study characterizes and stratifies distinct grades of the early steatosis stages of the disease with the aim of identifying mechanisms underlying the etiology of the disease. We analyzed liver biopsies and serum samples from patients with distinct grades of steatosis (also pre-disease states) employing transcriptomics, serum biomarkers, metabolomics, and proteomics. We unveiled distinct transcriptome, proteome and metabolome profiles in patients with high-grade and low-grade steatosis. In line with previously reported causes of steatosis and insulin resistance our observed expression differences in the levels of cytokines, in the IGF-axis, in fat metabolism and branched chain amino acids provide a comprehensive image of the deregulated biological system underlying the disease.
2015-12-07 | MTBLS174 | MetaboLights
Project description:With an estimated prevalence of about 30% in western countries non-alcoholic fatty liver disease (NAFLD) is a major public health issue [PMID: 18956290]. NAFLD is associated with the metabolic syndrome of insulin resistance, obesity, glucose intolerance. Although many studies are pointing to an induction of insulin resistance by NAFLD causality between both phenotypes is not fully clarified. Furthermore, mechanisms leading to strongly differing progression of NAFLD have to be elucidated which range from mild steatosis up to severe steatohepatitis. Steatohepatitis might even result in liver cirrhosis and hepatocellular carcinoma. Additional complexity is introduced into the understanding of the disease by recent studies providing evidence for a direct development of carcinoma from steatosis without the formerly assumed intermediary phase of cirrhosis. Here, we investigate liver samples from patients with varying severities of steatosis in an integrative approach employing transcriptomics, serum biomarker profling, metabolomics data and systems biology models.
2015-11-01 | GSE46300 | GEO
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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MODEL1402200003.
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2005-01-01 | MODEL1402200003 | BioModels
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
2011-07-12 | E-MEXP-3291 | biostudies-arrayexpress
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.
2015-01-23 | E-GEOD-65220 | biostudies-arrayexpress