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Target genes associated with lipid and glucose metabolism in non-alcoholic fatty liver disease.

ABSTRACT: BACKGROUND:Insulin resistance (IR) and lipid peroxidation are accepted as 'two-hit' hypothesis of Non-alcoholic fatty liver disease (NAFLD). However, there are few published research on identifying genes which connect lipid and glucose metabolism by gene microarray. OBJECTIVE:To identify target genes related to lipid and glucose metabolism that might be responsible for the pathogenesis of NAFLD. METHODS:A rat model of NAFLD was established by feeding male rats with high-fat diet and gene expression profiles of liver tissues were determined using Agilent DNA microarray. We then investigated differentially expressed genes (DEGs) and intersection of them by using Gene Ontology (GO) and Pathway Analyses. Target genes were verified by Real-time polymerase chain reaction (RT-PCR). RESULTS:Compared with control, 932 genes, including 783 up-regulated and 149 down-regulated, exhibited differences in expression. The up-regulated genes were involved in biosynthesis, cell development, cell differentiation and down-regulated genes contributed to biological metabolic process, adipokine metabolic pathway and insulin signaling pathway. We identified genes involved in insulin signaling pathway, Notch signaling pathway and lipid synthetic process to be closely related to liver fat accumulation and insulin resistance. Among them, IGFBP7, Notch1 and HMGCR were up-regulated (2.85-fold, 3.22-fold, and 2.06-fold, respectively, all P

SUBMITTER: Li T

PROVIDER: S-EPMC6894500 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Target genes associated with lipid and glucose metabolism in non-alcoholic fatty liver disease.

Li Ting T Yan Hua H Geng Yan Y Shi Haitao H Li Hong H Wang Shenhao S Wang Yatao Y Xu Jingyuan J Zhao Gang G Lu Xiaolan X

Lipids in health and disease 20191205 1

<h4>Background</h4>Insulin resistance (IR) and lipid peroxidation are accepted as 'two-hit' hypothesis of Non-alcoholic fatty liver disease (NAFLD). However, there are few published research on identifying genes which connect lipid and glucose metabolism by gene microarray.<h4>Objective</h4>To identify target genes related to lipid and glucose metabolism that might be responsible for the pathogenesis of NAFLD.<h4>Methods</h4>A rat model of NAFLD was established by feeding male rats with high-fat ...[more]

PMID: 31805951

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Project description:Background: Polycystic ovary syndrome (PCOS) is the most common metabolic and endocrinopathies disorder in women of reproductive age and non-alcoholic fatty liver (NAFLD) is one of the most common liver diseases worldwide. Previous research has indicated potential associations between PCOS and NAFLD, but the underlying pathophysiology is still not clear. The present study aims to identify the differentially expressed genes (DEGs) between PCOS and NAFLD through the bioinformatics method, and explore the associated molecular mechanisms. Methods: The microarray datasets GSE34526 and GSE63067 were downloaded from Gene Expression Omnibus (GEO) database and analyzed to obtain the DEGs between PCOS and NAFLD with the GEO2R online tool. Next, the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for the DEGs were performed. Then, the protein-protein interaction (PPI) network was constructed and the hub genes were identified using the STRING database and Cytoscape software. Finally, NetworkAnalyst was used to construct the network between the targeted microRNAs (miRNAs) and the hub genes. Results: A total of 52 genes were identified as DEGs in the above two datasets. GO and KEGG enrichment analysis indicated that DEGs are mostly enriched in immunity and inflammation related pathways. In addition, nine hub genes, including TREM1, S100A9, FPR1, NCF2, FCER1G, CCR1, S100A12, MMP9, and IL1RN were selected from the PPI network by using the cytoHubba and MCODE plug-in. Then, four miRNAs, including miR-20a-5p, miR-129-2-3p, miR-124-3p, and miR-101-3p, were predicted as possibly the key miRNAs through the miRNA-gene network construction. Conclusion: In summary, we firstly constructed a miRNA-gene regulatory network depicting interactions between the predicted miRNA and the hub genes in NAFLD and PCOS, which provides novel insights into the identification of potential biomarkers and valuable therapeutic leads for PCOS and NAFLD.

Dataset Information

Target genes associated with lipid and glucose metabolism in non-alcoholic fatty liver disease.

Publications

Target genes associated with lipid and glucose metabolism in non-alcoholic fatty liver disease.

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