Liver International · 2019 · 45 citations · 27 references
Life SciencesBioinformaticsMolecular BiologyGene ExpressionMetabolic RegulationTranscriptomicsHepatic PathophysiologyInsulin ResistanceLiver DiseaseMetabolic Liver DiseaseMicrorna BiologyMicrorna-mediated RegulationEr Stress SensorsHepatic Insulin ResistanceLiver ElastographyLuciferase Reporter AssaysLuciferase ReportersMicrorna Expression ProfilingMicrorna Gene RegulationMicrorna In Metabolism
BACKGROUND & AIMS: Insulin resistance is strongly associated with non-alcoholic fatty liver disease, a chronic, obesity-related liver disease. Increased endoplasmic reticulum (ER) stress plays an important role in the development of insulin resistance. In this study, we investigated the roles of miRNAs in regulating ER stress in the liver of rats with obesity. METHODS: We used miRNA microarray to determine the miRNA expression profiles in the liver of rats fed with a high fat diet (HFD). We used prediction algorithms and luciferase reporter assay to identify the target gene of miRNAs. To overexpress the miRNA miR-30b or inhibit miR-30b rats were injected with lentivirus particles containing PGLV3-miR-30b or PGLV3-miR-30b antimiR through tail vein. Hepatic steatosis was measured using transient elastography in human subjects. RESULTS: -ATPase 2b (SERCA2b), as a novel target of miR-30b. Overexpression of miR-30b induced ER stress and insulin resistance in rats fed with normal diet, whereas inhibition of miR-30b by miR-30b antimiR suppressed ER stress and insulin resistance in HFD-treated rats. Finally, our data demonstrated that there was a positive correlation between serum miR-30b levels and hepatic steatosis or homoeostasis model assessment of insulin resistance (HOMA-IR) in human subjects. CONCLUSIONS: Our findings suggest that miR-30b represents not only a potential target for the treatment of insulin resistance, but also a non-invasive disease biomarker of NAFLD.
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Endoplasmic Reticulum Stress Links Obesity, Insulin Action, and Type 2 Diabetes
Umut Özcan, Qiong Cao, Erkan Yılmaz et al. · Science · 2004 · 3.8K citations
Umut Özcan, Erkan Yılmaz, Lale Özcan et al. · Science · 2006 · 2.4K citations · Full text