Enhancing Proton Mobility in Silicophosphoric Acid by Replacing Si with Al.

Electrochemical devices that can operate at temperatures of 200-300 °C are expected to become the next-generation energy conversion devices in fuel cells and electrosynthesis, which are important for achieving carbon neutrality. Proton conductors based on phosphate glasses are being developed as candidate materials for such devices. We recently developed a glass proton conductor by using silicophosphoric acid based on the idea of solidifying phosphoric acid with silicon as a cross-linking glass framework.

Cyclosporine A Causes Gingival Overgrowth by Promoting Entry into the S Phase at the G1/S Cell Cycle Checkpoint in Gingival Fibroblasts Exposed to Lipopolysaccharide.

Objectives: Cyclosporine A promotes gingival fibrosis by enhancing the proliferation of gingival fibroblasts, leading to gingival overgrowth. The population of gingival fibroblasts is regulated by cell cycle machinery, which balances cell growth and inhibition. Cells that detect DNA damage pause at the G1/S checkpoint to repair the damage instead of progressing to the S phase.

Cyclosporine A causes gingival overgrowth via reduced G1 cell cycle arrest in gingival fibroblasts.

Gingival overgrowth caused by cyclosporine A is due to increased fibroblast proliferation in gingival tissues. Cell cycle system balances proliferation and anti-proliferation of gingival fibroblasts and plays a role in the maintenance of its population in gingival tissues. When cells detect and respond to abnormalities (e.

Development of a Novel Microphysiological System for Peripheral Neurotoxicity Prediction Using Human iPSC-Derived Neurons with Morphological Deep Learning.

A microphysiological system (MPS) is an in vitro culture technology that reproduces the physiological microenvironment and functionality of humans and is expected to be applied for drug screening. In this study, we developed an MPS for the structured culture of human iPSC-derived sensory neurons and then predicted drug-induced neurotoxicity by morphological deep learning. Using human iPSC-derived sensory neurons, after the administration of representative anti-cancer drugs, the toxic effects on soma and axons were evaluated by an AI model with neurite images.