Dataset Information

Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis.

ABSTRACT: Non-alcoholic fatty liver disease (NAFLD) is a wide-spread chronic liver condition that places patients at risk of developing cardiovascular diseases and may progress to cirrhosis or hepatocellular carcinoma if untreated. Challenges in clinical and basic research are caused by poor understanding of NAFLD mechanisms. The purpose of current study is to describe molecular changes occurring in human liver during NAFLD progression by defining a reproducible gene expression signature. We conduct a systematic meta-analysis of published human gene expression studies on liver biopsies and bariatric surgery samples of NAFLD patients. We relate gene expression levels with histology scores using regression models and identify a set of genes showing consistent-sign associations with NAFLD progression that are replicated in at least three independent studies. The analysis reveals genes that have not been previously characterized in the context of NAFLD such as HORMAD2 and LINC01554. In addition, we highlight biomarker opportunities for risk stratification and known drugs that could be used as tool compounds to study NAFLD in model systems. We identify gaps in current knowledge of molecular mechanisms of NAFLD progression and discuss ways to address them. Finally, we provide an extensive data supplement containing meta-analysis results in a computer-readable format.

SUBMITTER: Ryaboshapkina M

PROVIDER: S-EPMC5617840 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis.

Ryaboshapkina Maria M Hammar Mårten M

Scientific reports 20170927 1

Non-alcoholic fatty liver disease (NAFLD) is a wide-spread chronic liver condition that places patients at risk of developing cardiovascular diseases and may progress to cirrhosis or hepatocellular carcinoma if untreated. Challenges in clinical and basic research are caused by poor understanding of NAFLD mechanisms. The purpose of current study is to describe molecular changes occurring in human liver during NAFLD progression by defining a reproducible gene expression signature. We conduct a sys ...[more]

PMID: 28955037

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Project description:Endoplasmic reticulum (ER) is the principal organelle for protein synthesis, such as hepatokines and transmembrane proteins, and is critical for maintaining physiological function. Dysfunction of ER is associated with metabolic disorders. However, the role of ER homeostasis as well as hepatokines in the progression of non-alcoholic fatty liver disease (NAFLD) remains to be elucidated. Here we comprehensively analyzed the RNA-seq profiles of liver biopsies from 206 NAFLD patients and 10 controls from dataset GSE135251. The co-expression modules were constructed based on weighted gene co-expression network analysis and six co-expression modules were identified, of which brown module stood out to be significantly associated with fibrosis stage and NAFLD activity score (NAS). Subsequently, cytoscape with cytoHubba plugin was applied to identify hub genes in the brown module. GO and KEGG enrichment analysis of the top 20 hub genes were performed and showed the involvement of extracellular matrix formation, collagen synthesis and decomposition, etc. Further, the expression of the top 20 hub genes were found to be a consistent increasing trend as the fibrosis stages and NAS increased, which have been validated both in HFD fed and HFHC fed mice. Among these genes, THY1, PTGDS, TMPRSS3, SPON1, COL1A2, RHBDF1, COL3A1, COL5A1, COL1A1 and IGFBP7 performed well in distinguishing fibrosis stage, while COL1A2, COL3A1, THY1, RHBDF1 and COL1A2 exhibited good capacity to discriminate NAS. Besides, RHBDF1, COL3A1, QSOX1, STING1, COL5A1, IGFBP7, COL4A2, COL1A1, FKBP10 and COL1A2 also showed a strong power in the diagnosis of NAFLD. In addition, COL1A1, COL1A2, COL3A1, COL8A2, IGFBP7, PGF, PTGDS, SPON1, THY1 and TIMP1 were identified as secretome genes from the top 20 hub genes. Of them, circulated THY1 and collagen III level were validated to be significantly elevated in the MCD diet-induced mice. Thus, we provided a systemic view on understanding the pathological roles and mechanisms of ER as well as secretome in NAFLD progression. THY1, COL1A1, COL1A2, COL3A1 and RHBDF1 could be served as candidate biomarkers to evaluate the progression of NAFLD.

Project description:BackgroundNon-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide. Autophagy plays a vital role in NAFLD development and progression. We aimed to establish a novel autophagy-related gene (ARG) signature as a therapeutic target in NAFLD patients based on high-throughput sequencing data.MethodsARGs obtained from the HAMdb and high-sequencing data obtained from the Gene Expression Omnibus (GEO) database were analyzed to identify differentially expressed ARGs (DEARGs) between normal and NASH tissues. Then, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed to explore potential biological and pathological functions of DEARGs. The protein-protein interaction (PPI) network of the DEARGs was established through the STRING website, and visualized by Cytoscape. In addition, hub genes were validated by an independent dataset GSE89632. Finally, we performed Gene Set Variation Analysis (GSVA) pathway-related analysis to identify the pivotal signaling pathways and genes for the progression of non-alcoholic fatty liver (NAFL) to non-alcoholic steatohepatitis (NASH).ResultsA total of 76 DEARGs were identified in the GSE126848 dataset, of which 45 genes were upregulated and 31 genes were downregulated. GO analysis showed that the biological functions of DEARGs focused primarily on autophagy, cellular response to external stimulus, fibroblast proliferation, late endosome, and ubiquitin protein ligase binding. KEGG pathway analysis showed that these DEARGs were mainly involved in the apoptosis, PI3K-Akt signaling pathway, and estrogen signaling pathway. Among DEGs, 9 most closely related genes were identified from the PPI network. Furthermore, NOS3, IGF1, VAMP8, FOS, and HMOX1 were verified in the GSE89632 dataset. At last, the MAPK signal pathway was identified as important pathway, and JUN was identified as a key gene involved in the progression from NAFL to NASH.ConclusionThis study may provide credible molecular biomarkers in terms of screening and diagnosis for NAFLD. Meanwhile, it also serves as a basis for exploring the molecular mechanisms underlying the progression of NAFL to NASH.

Dataset Information

Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis.

Publications

Human hepatic gene expression signature of non-alcoholic fatty liver disease progression, a meta-analysis.

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