Analysis of gene expression of Babesia gibsoni cultured with diminazene aceturate using RNA sequencing.

A comprehensive and quantitative method to compare gene expression may be useful for investigating the mechanisms responsible for diminazene aceturate (DA) resistance in Babesia gibsoni. Therefore, the gene expression of B. gibsoni cultured with DA was compared with those without DA using RNA sequencing (RNA-seq).

A novel mouse model for studies of burn wound conversion using a top hat-shaped brass template.

Introduction: The pathophysiology of burn wound conversion is not fully understood. Animal models are needed to elucidate the underlying mechanisms and develop treatments. Here, we established a new reproducible mouse model that simulates this process, thereby facilitating studies of burn wound conversion.

Successful treatment of anti-signal recognition particle antibody-positive myositis with intravenous cyclophosphamide: A case report.

Myositis-specific autoantibodies play an important role on the disease phenotype of idiopathic inflammatory myopathies (IIMs). Anti-signal recognition particle (SRP) antibody-positive patients with IIMs may present with severe myopathy and highly elevated serum creatine kinase levels. These patients are often resistant to immunosuppressive therapy, but there is no established treatment strategy.

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.