The increase of long noncoding RNA Fendrr in hepatocytes contributes to liver fibrosis by promoting IL-6 production.

Liver fibrosis/cirrhosis is a pathological state caused by excessive extracellular matrix deposition. Sustained activation of hepatic stellate cells (HSC) is the predominant cause of liver fibrosis, but the detailed mechanism is far from clear. In this study, we found that long noncoding RNA Fendrr is exclusively increased in hepatocytes in the murine model of CCl- and bile duct ligation-induced liver fibrosis, as well as in the biopsies of liver cirrhosis patients.

Loss of EGFR contributes to high-fat diet-induced nonalcoholic fatty liver disease.

Using a murine model of high-fat diet (HFD)-induced nonalcoholic fatty liver disease (NAFLD), we found that the expression of the epidermal growth factor receptor (EGFR) significantly decreased in hepatocytes. In vitro, free fatty acid influx decreased EGFR in hepatocytes. In HFD-fed mice, ectopic expression of EGFR alleviated intrahepatic lipid accumulation and reduced serum triglyceride and cholesterol, whereas knockdown of EGFR aggravated hepatic steatosis.

Sox9/INHBB axis-mediated crosstalk between the hepatoma and hepatic stellate cells promotes the metastasis of hepatocellular carcinoma.

The activation of hepatic stellate cells (HSCs) and liver fibrosis in the peri-tumoral tissue contributes to the progression of hepatocellular carcinoma (HCC). However, the mechanisms underlying the crosstalk between hepatoma and peri-tumoral HSCs remain elusive. We found that the Sox9/INHBB axis is upregulated in HCC and is associated with tumor metastasis.

A Novel Sox9/lncRNA H19 Axis Contributes to Hepatocyte Death and Liver Fibrosis.

Sox9 has been previously characterized as a transcription factor responsible for the extracellular matrix production during liver fibrosis. However, the deregulation and functional role of hepatocyte Sox9 in the progression of liver fibrosis remains elusive. Here, we found a significant increase of Sox9 in the hepatocytes isolated from CCl4-induced fibrotic liver and showed that antisense oligoribonucleotides depletion of Sox9 was sufficient to attenuate CCl4-induced liver fibrosis.

Accelerated wound healing in diabetes by reprogramming the macrophages with particle-induced clustering of the mannose receptors.

The rate-limiting step in cutaneous wound healing, namely, the transition from inflammation to cell proliferation, depends on the high plasticity of macrophages to prevent inflammation in the wound tissues in a timely manner. Thus, strategies that reprogram inflammatory macrophages may improve the healing of poor wounds, particularly in the aged skin of individuals with diabetes or other chronic diseases. As shown in our previous study, KGM-modified SiO nanoparticles (KSiNPs) effectively activate macrophages to differentiate into the M2-type phenotype by inducing mannose receptor (MR) clustering on the cell surface.

TGF-β-induced hepatocyte lincRNA-p21 contributes to liver fibrosis in mice.

Hepatocyte death, as well as the following inflammatory and fibrogenic signaling cascades, is the key trigger of liver fibrosis. Here, we isolated hepatocytes from CCl-induced fibrotic liver and found that hepatocyte lincRNA-p21 significantly increased during liver fibrosis. The increase of hepatocyte lincRNA-p21 was associated with the loss of miR-30, which can inhibit TGF-β signaling by targeting KLF11.

Unraveling the hidden heterogeneities of breast cancer based on functional miRNA cluster.

It has become increasingly clear that the current taxonomy of clinical phenotypes is mixed with molecular heterogeneity, which potentially affects the treatment effect for involved patients. Defining the hidden molecular-distinct diseases using modern large-scale genomic approaches is therefore useful for refining clinical practice and improving intervention strategies. Given that microRNA expression profiling has provided a powerful way to dissect hidden genetic heterogeneity for complex diseases, the aim of the study was to develop a bioinformatics approach that identifies microRNA features leading to the hidden subtyping of complex clinical phenotypes.