Liquiritigenin regulates insulin sensitivity and ameliorates inflammatory responses in the nonalcoholic fatty liver by activation PI3K/AKT pathway.

Nonalcoholic fatty liver disease (NAFLD) is a prevalent long-term disease in the world. Liquiritigenin (LQ) is protective against a variety of hepatotoxins. Herein, we report the potential mechanism of LQ on a high-fat diet (HFD) induced NAFLD. NAFLD mice model was established by HFD for 12 weeks, and LQ treatment for 1 week. Commercially available assay kits measure liver triglycerides (TG) and total cholesterol (TC) levels. Plasm TC, TG, high-density-lipoprotein (HDL-C), and low-density-lipoprotein cholesterol (LDL-C) levels were also monitored by biochemistry. Enzyme linked immunosorbent assay (ELISA) kits were performed to analyze the pro-inflammatory factors, and intraperitoneal glucose tolerance test (IPGTT), insulin tolerance test (IPITT), and serum insulin were also determined. GO and KEGG pathway enrichment analysis was employed to analyze the overlapping genes of LQ targets and NAFLD development-related targets. Western blot was performed on key proteins of the enriched signaling pathway. HFD mice showed significant increases in hepatic TG and TC, and plasm TC, TG, and LDL-C in blood lipids, while HDL-C significantly decreased, and LQ treatment reversed their levels (p < 0.05). LQ also alleviated HFD-induced elevated levels of IPGTT, IPITT, and homeostasis model assessment of insulin resistance (HOMA-IR). And serum levels of the pro-inflammatory factor were also suppressed by LQ. PI3K/AKT pathway was enriched by KEGG pathway enrichment, and its key proteins p-PI3K and p-AKT were elevated after LQ treatment (p < 0.05). We found for the first time that LQ improves lipid accumulation, alleviates insulin resistance, and suppresses inflammatory responses in NAFLD mice, which might be associated with the activation of the PI3K/AKT pathway.

Construction of molecular subgroups in childhood systemic lupus erythematosus using bioinformatics.

BACKGROUND: Systemic lupus erythematosus (SLE) is a complex autoimmune disorder. In patients with childhood SLE (cSLE), the onset of the disease occurs before 18 years of age and accounts for a high proportion of childhood autoimmune diseases. Adult SLE and cSLE differ in terms of clinical manifestations, gene expression profiles, and treatment. Because current diagnostic methods do not meet clinical requirements, researchers currently use transcriptome analysis to investigate the characteristics of the cSLE genome. In the present study, we used bioinformatics methods to genotype cSLE and identify potential therapeutic targets. METHODS: The transcriptomes of 952 patients with cSLE and 94 normal controls were obtained from the Gene Expression Omnibus using unsupervised class learning to determine the genotypes in the microarray dataset, and the clinical characteristics, differentially expressed genes, and biological characteristics of the subtypes were analyzed. RESULTS: Patients with cSLE were accordingly classified into three subgroups. Subgroup I was associated with lupus nephritis, female patients, and a high SLE disease activity index, and the disease in this subgroup was more severe than that in other subgroups. The SLE disease activity index in subgroup II was low; this subgroup may be related to lupus vasculitis. Subgroup III mostly included male patients and was associated with neuropsychiatric manifestations of lupus. CONCLUSION: We divided patients with cSLE into three subgroups with different characteristics based on transcriptome data. Our findings provide molecular evidence for future diagnosis and individualized treatment of cSLE.