Publications by authors named "F Miyoshi"
Article Synopsis
- The central nervous system's glial cells are primarily made up of astrocytes, whose impairment is linked to various disorders.
- Researchers are trying to explore how to analyze astrocytes derived from induced pluripotent stem cells (iPSCs) to understand their roles in disease conditions.
- By modifying differentiation protocols and evaluating functions like cytokine release and calcium influx, the study developed a method to model astrocyte-related diseases, specifically Alexander disease, using iPSC-derived astrocytes.
Article Synopsis
- T peripheral helper (Tph) cells are linked to B cell activation and play a role in autoimmune diseases like systemic lupus erythematosus (SLE), with four defined subsets: Tph1, Tph2, Tph17, and Tph1-17.
- The Tph1 and Tph17 subsets show high production of IL21, indicating they help B cells, while Tph2 and Tph1-17 produce low amounts of IL21 but have features of cytotoxic T lymphocytes, such as high levels of CX3CR1 and GZMB.
- In SLE patients, Tph1 and Tph2 subsets are more frequent and linked to disease activity; Tph1
Purpose: This study aimed to identify the contribution of the common synaptic drives to motor units during obstacle avoidance, using coherence analysis between a-pair electromyography (EMG) signals (EMG-EMG coherence).
Materials And Methods: Fourteen healthy volunteers walked on a treadmill with and without obstacle avoidance. During obstacle gait, subjects were instructed to step over an obstacle with their right leg while walking that would randomly and unpredictably appear.
Background: Dynamic knee valgus (DKV) during dynamic activity is associated with patellofemoral pain, one of the most common sports disorders, especially in females. No studies have examined the factors that can lead to DKV in females as compared to males while addressing the influence of factors on each other.
Objective: To identify factors of pelvis and lower joints kinematics affecting DKV during single-leg squat (SLS) in females compared to males with multiple regression analysis.
To improve the decreased efficiency of drug discovery and development, drug repurposing (also called drug repositioning) has been expected, that it is a strategy for identifying new medical indications for approved, investigational or suspended drugs. Particularly, according to the rapid expansion of medical and life science data and the remarkable technological progress of AI technology in recent years, the approach of computational drug repurposing has been attracted as one of the applications in data-driven drug discovery. Computational drug repurposing is a method of systematical and strategical research for identifying novel indication candidates and prioritizing the indication candidates based on the various profiles of drugs, genes, and diseases.
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