Baicalin ameliorates high fat diet-induced nonalcoholic fatty liver disease in mice via adenosine monophosphate-activated protein kinase-mediated regulation of SREBP1/Nrf2/NF-κB signaling pathways.

Nonalcoholic fatty liver disease (NAFLD) is a prevalent chronic liver disease around the world, imposing severe threats on human health. Unfortunately, no clinically approved drugs are available for use as yet. Baicalin (BA) is reported to have hepatoprotective effects, and it is not clear whether BA can treat NAFLD and how. Here, a high-fat diet (HFD)-induced NAFLD mouse model was established to explore the protective roles and mechanisms of BA against HFD-induced NAFLD. Physiochemical results showed that BA exhibited significantly protective effects against HFD-induced NAFLD in mice. Liver transcriptomic analysis revealed that BA attenuated HFD-induced NAFLD via activating AMPK pathway, which was confirmed by the AMPK inhibitor Compound C. Additionally, the expression changes of AMPK downstream genes demonstrated that BA exerted ameliorative effects against NAFLD through AMPK-mediated inhibition of SREBP1 and NF-κB pathways, and activation of Nrf2 pathway. Taken together, our study reveals the protective roles of BA against HFD-caused NAFLD through AMPK-mediated modulation of SREBP1/Nrf2/NF-κB pathways, suggesting that BA has potential drug development implications. Most importantly, our study creates a paradigm through the combination of molecular biology and bioinformatics for further studies of action mechanisms of biomolecules combating diseases.

Correlation between stress drop and applied strain as a biomarker for tumor detection.

This is the first study to measure the viscoelastic behavior of tumor tissues using stepwise compression-relaxation testing, and investigate the measured (Δσ-ε) relation between stress drop (Δσ) and applied strain (ε) as a biomarker for tumor detection. Stepwise compression-relaxation testing was implemented via a 2D tactile sensor to measure stress drop at each applied strain of a sample. Pearson correlation analysis was conducted to quantify the measured Δσ-ε relation as slope of stress drop versus applied strain (m=Δσ/ε) and coefficient of determination (R2). The measured results on soft materials revealed no dependency of coefficient of determination on the testing parameters and dependency of slope on them. Three groups of tissues: five mouse breast tumor (BT) tissues ex vivo, two mouse pancreatic tumor (PT) tissues in vivo and six normal tissues, were measured by using different testing parameters. Coefficient of determination was found to show significant difference among the center, edge and outside sites of all the BT tissues, and no difference between the BT outside sites and the normal tissues. Coefficient of determination also revealed significant difference between before and after treatment of the PT tissues, and no difference between the PT tissues after treatment and the normal tissues. Moreover, coefficient of determination of the PT tissues before treatment was found to be significantly different from that of the BT center sites, but slope failed to capture their difference. Dummy tumors made of silicon rubbers were found to behave differently from the native tumors. By removing the need of fitting the time-dependent data with a viscoelastic model, this study offered a time-efficient solution to quantifying the viscosity for tumor detection.