Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma.

Background: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. Interestingly, there have been no prior studies that have examined G3BP1 IHC staining using digital pathology.

Tumor-derived extracellular vesicle PD-1 promotes tumor immune evasion via disruption of peripheral T cell homeostasis.

The programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) axis mediates immune evasion of tumor, and targeting this axis has achieved some clinical benefits. The regulation of PD-1 expression in immune cells has been well studied. However, whether any other potential source of immune cell-expressed PD-1 exists remains unknown.

Online monitoring of water quality in industrial wastewater treatment process based on near-infrared spectroscopy.

Water quality monitoring is one of the critical aspects of industrial wastewater treatment, which is important for checking the treatment effect, optimizing the treatment technology and ensuring that the water quality meets the standard. Chemical oxygen demand (COD) is a key indicator for monitoring water quality, which reflects the degree of organic matter pollution in water bodies. However, the current methods for determining COD values have drawbacks such as slow speed and complicated operation, which hardly meet the demand of online monitoring.

A systematic study on composition and antioxidant of 6 varieties of highbush blueberries by 3 soil matrixes in China.

Blueberries are the most popular small berries, in order to solve the problem of unbalanced blueberry resources in different regions of China. In this study, 18 blueberries were analyzed by chromatography and mass spectrometry for 9 soil elements, 6 anthocyanins, 7 phenolic acids, 9 organic acids, and 12 flavonoids. The result showed that blueberry physico-chemical indicators were significantly variable across production regions by Wenn and volcano maps, chlorogenic acid, ascorbic acid, citric acid, catechin were the main antioxidant active components, soil pH was significantly correlated with low content of anthocyanins and organic acids, soil elements were not significantly correlated with fruits antioxidant activity by the network correlation analysis.