AIM:To establish and validate a simple quantitative assessment method for nonalcoholic fatty liver disease (NAFLD) based on a combination of the ultrasound hepatic/renal ratio and hepatic attenuation rate. METHODS:A total of 170 subjects were enrolled in this study. All subjects were examined by ultrasound and 1 H-magnetic resonance spectroscopy ( 1 H-MRS) on the same day. The ultrasound hepatic/renal echointensity ratio and ultrasound hepatic echo-intensity attenuation rate were obtained from ordinary ultrasound images using the MATLAB program. RESULTS:Correlation analysis revealed that the ultrasound hepatic/renal ratio and hepatic echo-intensity attenuation rate were significantly correlated with 1 H-MRS liver fat content (ultrasound hepatic/renal ratio: r = 0.952, P = 0.000; hepatic echo-intensity attenuation r = 0.850, P = 0.000). The equation for predicting liver fat content by ultrasound (quantitative ultrasound model) is: liver fat content (%) = 61.519 × ultrasound hepatic/renal ratio + 167.701 × hepatic echo-intensity attenuation rate -26.736. Spearman correlation analysis revealed that the liver fat content ratio of the quantitative ultrasound model was positively correlated with serum alanine aminotransferase, aspartate aminotransferase, and triglyceride, but negatively correlated with high density lipoprotein cholesterol. Receiver operating characteristic curve analysis revealed that the optimal point for diagnosing fatty liver was 9.15% in the quantitative ultrasound model. Furthermore, in the quantitative ultrasound model, fatty liver diagnostic sensitivity and specificity were 94.7% and 100.0%, respectively, showing that the quantitative ultrasound model was better than conventional ultrasound methods or the combined ultrasound hepatic/renal ratio and hepatic echo-intensity attenuation rate. If the 1 H-MRS liver fat content had a value < 15%, the sensitivity and specificity of the ultrasound quantitative model would be 81.4% and 100%, which still shows that using the model is better than the other methods. CONCLUSION:The quantitative ultrasound model is a simple, low-cost, and sensitive tool that can accurately assess hepatic fat content in clinical practice. It provides an easy and effective parameter for the early diagnosis of mild hepatic steatosis and evaluation of the efficacy of NAFLD treatment. Key words: Non-alcoholic fatty liver disease; Ultrasound hepatic/renal ratio; Ultrasound hepatic echo-intensity attenuation rateCore tip: The quantitative ultrasound model is a simple, low-cost, and sensitive tool that can accurately assess hepatic fat content in clinical practice. It provides an easy and effective parameter for early diagnosis of mild hepatic steatosis and evaluation of the efficacy of Zhang B, Ding F, Chen T, Xia LH, Qian J, Lv GY. Ultrasound hepatic/renal ratio and hepatic attenuation rate for quantifying liver fat content.

G protein-coupled estrogen receptor (GPER) was identified as a new member of the estrogen receptor family in recent years. It has become apparent that GPER mediates the non-genomic signaling of 17β-estradiol (E2) in a variety of estrogen-related cancers. Our previous study has found that GPER was overexpressed in human epithelial ovarian cancer and was positively correlated with the expression of matrix metalloproteinase 9 (MMP-9), which suggested GPER might promote the metastasis of ovarian cancer. However, the mechanisms underlying GPER-dependent metastasis of ovarian cancer are still not clear. In the present study, estrogen receptor α (ERα)-negative/GPER-positive OVCAR5 ovarian cancer cell line was used to investigate the role of GPER in the migration and invasion of ovarian cancer. Wound healing assay and transwell matrigel invasion assay were performed to determine the potentials of cell migration and invasion, respectively. The production and activity of MMP-9 in OVCAR5 cells were examined by Western blot and gelatin zymography analysis. The results showed that E2 and selective GPER agonist G-1 increased cell motility and invasiveness, and upregulated the production and proteolytic activity of MMP-9 in OVCAR5 cells. Small interfering RNA (siRNA) targeting GPER and G protein inhibitor pertussin toxin (PTX) inhibited the migration and invasion of OVCAR5 cells, and also reduced the expression and activity of MMP-9. Our data suggested that GPER promoted the migration and invasion of ovarian cancer cells by increasing the expression and activity of MMP-9. GPER might play an important role in the progression of ovarian cancer.

G protein-coupled estrogen receptor (GPER) is identified as a critical estrogen receptor, in addition to the classical estrogen receptors ERα and ERβ. In ERα-negative ovarian cancer cells, our previous studies have found that estrogen stimulated cell proliferation and metastasis via GPER. However, the ligand-independent function of GPER in ovarian cancer cells is still not clear. Herein, we describe that GPER has a co-expression with ERα and ERβ, which are first determined in SKOV3 ovarian cancer cell line. In the absence of estrogen, GPER depletion by specific siRNA inhibits the proliferation, migration and invasion of SKOV3 cells. Whereas abrogation of ERα or ERβ by specific antagonist MPP and PHTPP has the opposite effects for stimulation of cell growth. Markedly, GPER knockdown attenuates MPP or PHTPP-induced cell proliferation, migration and invasion. Furthermore, GPER modulates protein expression of the cell cycle critical components, c-fos and cyclin D1 and factors for cancer cell invasion and metastasis, matrix metalloproteinase 2 (MMP-2) and MMP-9. These findings establish that GPER ligand-independently stimulates the proliferation, migration and invasion of SKOV3 cells. Knockdown of GPER attenuates the progression of ovarian cancer that caused by functional loss of ERα or ERβ. Targeting GPER provides new aspect as a potential therapeutic strategy in ovarian cancer.

With bio‐integrated electronics booming, stretchable, elastic, compliance, and biocompatible elastomers attract immense research interest due to their potential to integrate with electronic devices and soft tissues. In this work, a double network skin‐like elastomer based on hydrophobic‐polyacrylamide/silk fibroin (HSF) is synthesized. The addition of the fibroin in polyacrylamide hydrogel significantly improves its stretchability, resilience, and tear resistance. Specifically, the HSF elastomer demonstrates a tensile strain as high as 1000% with the corresponding tensile stress of 0.27 MPa and great resilience (550 cycles). Based on such HSF, a hybrid mechanoreceptor sensor is fabricated, which can simultaneously implement slow adaptive and fast adaptive pulses like human skin. This device realizes the detection of a variety of human movements such as joint movement, vocalization, or pulse and high‐frequency vibration signal recognition, which demonstrates its potential applications in bio‐integrated electronics.

G protein-coupled estrogen receptor (GPER) is recently identified as a membrane-associated estrogen receptor that mediates non-genomic effects of estrogen. Our previous immunohistochemistry study found an association between GPER and the proliferation of epithelial ovarian cancer. However, the contributions and mechanisms of GPER in the proliferation of ovarian cancers are not clear. We have examined the role of GPER in estrogen receptor α (ERα)-negative/GPER positive OVCAR5 ovarian cancer cell line. MTT assay was used to detect cell proliferation. BrdU incorporation assay was used to measure the cells in S-phase. Protein expression of marker genes of proliferation, cell cycle and apoptosis were examined by Western blot. The results showed that 17β-estradiol and selective GPER agonist G-1 stimulated the proliferation of OVCAR5 cells and increased the cells in S-phase. Both ligands upregulated the protein levels of c-fos and cyclin D1. Small interfering RNA targeting GPER or G protein inhibitor pertussin toxin (PTX) inhibited basal cell proliferation and attenuated 17β-estradiol- or G-1-induced cell proliferation. GPER mediated cell growth was also associated with the apoptosis of OVCAR5 cells. These findings suggest that GPER has an important function in the proliferation of ovarian cancer cells lacking ERα. GPER might be a promising therapeutic target in ovarian cancer.