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AIMS: The study aims to find a new functional additive for diabetic liver injury. BACKGROUND: It is well-established that type 2 diabetes mellitus (T2DM) is a metabolic disease with multiple complications and places a significant health and economic burden on modern society. Linarin is a natural flavonoid isolated from Asteraceae and Lamiaceae, which has beneficial effects in preventing and treating metabolic diseases such as nonalcoholic steatohepatitis and diabetes. OBJECTIVE: We aimed to investigate the pharmacological effect and underlying mechanism of linarin on T2DM-associated liver injury in vivo and in vitro. METHODS: Using a high-glucose and high-palmitic acid-induced hepatocyte injury model and a type 2 diabetic rat model. Following linarin treatment, serum biochemical parameters, liver histology, and lipid profiles of rats were examined. Oxidative stress index and inflammatory response were detected in vivo and in vitro. The expression level of AKR1B1 in rat liver tissues and in vitro cells was detected by western blot and by real-time fluorescent quantitative PCR. RESULTS: The present study found that linarin could prevent oxidative stress and inflammation. In high-fat-fed diabetic rats, linarin administration (15, 30, and 60 mg/kg/day) reduced hepatic lipid accumulation, oxidative stress, and inflammation. Linarin (20 µM) significantly alleviated oxidative stress, inflammation, and apoptosis induced by high glucose combined with palmitic acid in LX-2 cells. Western blotting and overexpression experiments showed that these effects were related to AKR1B1 inhibition in vivo and in vitro. CONCLUSION: This study indicated that linarin could protect against liver injury in T2DM by alleviating oxidative stress and inflammation mediated by AKR1B1 and may be a promising additive for diabetic liver injury therapy.
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BACKGROUND: The competing endogenous RNA (ceRNA) network plays an important role in the occurrence and development of a variety of diseases. This study aimed to construct a ceRNA network related to exosomes in diabetic retinopathy (DR). METHODS: We explored the Gene Expression Omnibus (GEO) database and then analyzed the RNAs of samples to obtain differentially expressed lncRNAs (DELs), miRNAs (DEMs) and mRNAs (DEGs) alongside the progress of DR. Next, Gene Set Enrichment Analysis (GSEA) analysis of DEGs, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of up-DEGs were performed. In addition, a ceRNA network related to exosomes in DR was constructed on the base of DELs, DEMs and DEGs. Finally, the function of the ceRNA network was explored by GO and KEGG enrichment analysis. RESULTS: Through our analysis, 267 DELs (93 up and 174 down), 114 DEMs (64 up and 50 down) and 2368 DEGs (1252 up and 1116 down) were screened. The GSEA analysis results show that these genes were mainly related to cytokine-cytokine receptor interaction, hippo signaling pathway and JAK-STAT signaling pathway. The GO and KEGG results show that these up-DEGs were mainly enriched in viral gene expression, components of ribosomes, mineral absorption, Wntprotein binding, and TGF-ß signaling pathway. Besides, a ceRNA network, including 15 lncRNAs (e.g., C1orf145, FGF14-IT1, and PRNT), 3 miRNAs (miR-10a-5p, miR-1297 and miR-507) and 11 mRNAs (NCOR2, CHAC1 and LIX1L, etc.) was constructed. Those 5 lncRNAs were up-regulated, 1 miRNA was down-regulated and 5 mRNAs were up-regulated in DR, while 10 lncRNAs were downregulated, 2 miRNAs were up-regulated and 6 mRNAs were down-regulated in DR. CONCLUSION: The novel ceRNA network that we constructed will provide new insights into the underlying molecular mechanisms of exosomes in DR.
