Dataset Information

Molecular mechanisms for alcoholic hepatitis based on analysis of gene expression profile.

ABSTRACT: BACKGROUND:Alcoholic hepatitis (AH) is an acute manifestation of alcoholic liver disease with high mortality rates. OBJECTIVES:Our aim was to study the molecular mechanisms of AH. MATERIALS AND METHODS:The differentially expressed genes (DEGs) in liver between AH and control cases were identified by analyzing the GSE28619 microarray data using t-test. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) enrichment analyses were performed using DAVID online tool. The protein-protein interaction (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING) and the subnetwork was identified by BioNet. Both PPI network and subnetwork were visualized using the Cytoscape software. RESULTS:Total 908 DEGs (551 up- and 357 down-regulated DEGs) were obtained. The up-regulated DEGs were significantly enriched in 15 pathways and 112 GO biological processes. The down-regulated DEGs were significantly enriched in 22 pathways and 84 GO biological processes. The PPI network with 608 nodes and 2878 interactions was constructed and the subnetwork with 53 nodes and 131 interactions was also identified. The hub DEGs (TSPO, PPIB, NME1 and NME2) were extracted in this subnetwork. CONCLUSIONS:TSPO might contribute to the liver damage and AH progression induced by mitochondrial dysfunction through oxidative stress of liver. TSPO interacted with PPIB might play important roles in liver damage in AH. The interaction between NME1 and NME2 might contribute to the transformation from AH to hepatocellular carcinoma.

SUBMITTER: Liu M

PROVIDER: S-EPMC4451276 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Molecular mechanisms for alcoholic hepatitis based on analysis of gene expression profile.

Liu Minghui M Dou Yuchang Y Sun Ran R Zhang Yonggui Y Liu Yansong Y

Hepatitis monthly 20150523 5

<h4>Background</h4>Alcoholic hepatitis (AH) is an acute manifestation of alcoholic liver disease with high mortality rates.<h4>Objectives</h4>Our aim was to study the molecular mechanisms of AH.<h4>Materials and methods</h4>The differentially expressed genes (DEGs) in liver between AH and control cases were identified by analyzing the GSE28619 microarray data using t-test. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) enrichment analyses were performed using ...[more]

PMID: 26045708

Similar Datasets

Project description:Metastasis is the main cause of breast cancer‑related mortalities. The present study aimed to uncover the relevant molecular mechanisms of breast cancer metastasis and to explore potential biomarkers that may be used for prognosis. Expression profile microarray data GSE8977, which contained 22 stroma samples (15 were from normal breast and 7 were from invasive ductal carcinoma tumor samples), were obtained from the Gene Expression Omnibus database. Following data preprocessing, differentially expressed genes (DEGs) were selected based on analyses conducted using the linear models for microarray analysis package from R and Bioconductor software. The resulting data were used in subsequent function and pathway enrichment analyses, as well as protein‑protein interaction (PPI) network and subnetwork analyses. Transcription factors (TFs) and tumor‑associated genes were also identified among the DEGs. A total of 234 DEGs were identified, which were enriched in immune response, cell differentiation and cell adhesion‑related functions and pathways. Downregulated DEGs included TFs, such as the proto‑oncogene SPI1, pre‑B‑cell leukemia homeobox 3 (PBX3) and lymphoid enhancer‑binding factor 1 (LEF1), as well as tumor suppressors (TSs), such as capping actin protein, gelsolin like (CAPG) and tumor protein p53‑inducible nuclear protein 1 (TP53INP1). Upregulated DEGs also included TFs and tumor suppressors, consisting of transcription factor 7‑like 2 (TCF7L2) and pleiomorphic adenoma gene‑like 1 (PLAGL1). DEGs that were identified at the hub nodes in the PPI network and the subnetwork were epidermal growth factor receptor (EGFR) and spleen‑associated tyrosine kinase (SYK), respectively. Several genes crucial in the metastasis of breast cancer were identified, which may serve as potential biomarkers, many of which were associated with cell adhesion, proliferation or immune response, and may influence breast cancer metastasis by regulating these function or pathways.

Project description:BackgroundDiabetic nephropathy (DN) is the major complication of diabetes mellitus, and leading cause of end-stage renal disease. The underlying molecular mechanism of DN is not yet completely clear. The aim of this study was to analyze a DN microarray dataset using weighted gene co-expression network analysis (WGCNA) algorithm for better understanding of DN pathogenesis and exploring key genes in the disease progression.MethodsThe identified differentially expressed genes (DEGs) in DN dataset GSE47183 were introduced to WGCNA algorithm to construct co-expression modules. STRING database was used for construction of Protein-protein interaction (PPI) networks of the genes in all modules and the hub genes were identified considering both the degree centrality in the PPI networks and the ranked lists of weighted networks. Gene ontology and Reactome pathway enrichment analyses were performed on each module to understand their involvement in the biological processes and pathways. Following validation of the hub genes in another DN dataset (GSE96804), their up-stream regulators, including microRNAs and transcription factors were predicted and a regulatory network comprising of all these molecules was constructed.ResultsAfter normalization and analysis of the dataset, 2475 significant DEGs were identified and clustered into six different co-expression modules by WGCNA algorithm. Then, DEGs of each module were subjected to functional enrichment analyses and PPI network constructions. Metabolic processes, cell cycle control, and apoptosis were among the top enriched terms. In the next step, 23 hub genes were identified among the modules in genes and five of them, including FN1, SLC2A2, FABP1, EHHADH and PIPOX were validated in another DN dataset. In the regulatory network, FN1 was the most affected hub gene and mir-27a and REAL were recognized as two main upstream-regulators of the hub genes.ConclusionsThe identified hub genes from the hearts of co-expression modules could widen our understanding of the DN development and might be of targets of future investigations, exploring their therapeutic potentials for treatment of this complicated disease.

Project description:BACKGROUND: Alcohol-related liver disease ranges from silent alcoholic steatohepatitis (sASH), an asymptomatic and compensated phenotype, to life- threatening alcoholic hepatitis (AH). A systematic comparative study of the clinical, histological and molecular features of these subtypes is lacking. METHODS : Two large cohorts of patients were recruited in an international, observational multi-center study: a retrospective cohort of patients with sASH (n=110) and a prospective cohort of patients with AH (two subgroups with n=121 and 104). sASH and AH were compared by doing clinical, analytical, immunohistochemistry and hepatic RNA microarray analysis. FINDINGS: Age and mean alcohol intake were similar in patients with sASH vs AH. AH showed lower mean arterial pressure than sASH. AH patients had greater aspartate amino transferase/alanine amino transferase ratio and lower gamma- glutamyl transferase levels than AH. Individuals with AH demonstrated profound liver failure, lower blood pressure and increased mortality. Histologically, the grade of steatosis, ballooning and pericellular fibrosis were similar in both groups, while advanced fibrosis, Mallory-Denk bodies, bilirubinostasis, severe neutrophil infiltration and progenitor cell expansion were more frequent among AH patients. One-year mortality was 10% in sASH and 50% in AH. Transcriptome analysis revealed a profound gene dysregulation within both phenotypes when compare to controls. Globally, AH patients exhibited changes in 4,921 genes, while the number of dysregulated genes in sASH patients was less pronounced -1,327-. While sASH was characterized by deregulated expression of genes involved in matrisome and immune response, the development of AH resulted in a marked deregulation of genes involved in hepatocyte reprogramming and bile acid metabolism. INTERPRETATION: Despite comparable daily alcohol intake, AH patients presented with worse liver function and hemodynamic status compared to sASH. Bilirubinostasis, severe fibrosis and progenitor cell expansion were prominent features of AH. AH patients exhibited a more profound deregulation of gene expression compared to sASH.

Dataset Information

Molecular mechanisms for alcoholic hepatitis based on analysis of gene expression profile.

Publications

Molecular mechanisms for alcoholic hepatitis based on analysis of gene expression profile.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets