A novel mouse model of upper tract urothelial carcinoma highlights the impact of dietary intervention on gut microbiota and carcinogenesis prevention despite carcinogen exposure.

Animal models of N-butyl-N-(4-hydroxy butyl) nitrosamine (BBN)-induced urothelial carcinoma (UC), particularly bladder cancer (BC), have long been established. However, the rare incidence of BBN-induced upper urinary tract UC (UTUC), which originates from the same urothelium as BC, remains elusive. The scarcity of animal models of UTUC has made it challenging to study the biology of UTUC.

Long-range enhancement for fluorescence and Raman spectroscopy using Ag nanoislands protected with column-structured silica overlayer.

We demonstrate long-range enhancement of fluorescence and Raman scattering using a dense random array of Ag nanoislands (AgNIs) coated with column-structured silica (CSS) overlayer of over 100 nm thickness, namely, remote plasmonic-like enhancement (RPE). The CSS layer provides physical and chemical protection, reducing the impact between analyte molecules and metal nanostructures. RPE plates are fabricated with high productivity using sputtering and chemical immersion in gold(I)/halide solution.

RNA-modifying enzyme Alkbh8 is involved in mouse embryonic development.

RNAs undergo more than 300 modifications after transcription. Aberrations in RNA modifications can lead to diseases; their involvement in fetal development has been suggested. This study explored the RNA modifications related to fetal development in mice.

Cutibacterium acnes-derived extracellular vesicles promote tumor growth in renal cell carcinoma.

Bacterial flora are present in various parts of the human body, including the intestine, and are thought to be involved in the etiology of various diseases such as multiple sclerosis, intestinal diseases, cancer, and uterine diseases. In recent years, the presence of bacterial 16S rRNA genes has been revealed in blood, which was previously thought to be a sterile environment, and characteristic blood microbiomes have been detected in various diseases. However, the mechanism and the origin of the bacterial information are unknown.

Sex estimation from maxillofacial radiographs using a deep learning approach.

The purpose of this study was to construct deep learning models for more efficient and reliable sex estimation. Two deep learning models, VGG16 and DenseNet-121, were used in this retrospective study. In total, 600 lateral cephalograms were analyzed.