Neuronal Populations Involved in Motor Function Show Prominent Expression of Sbno1 During Postnatal Brain Development.

Human genome studies have suggested that strawberry notch homologue 1 () is crucial for normal brain development, with mutations potentially contributing to neurodevelopmental disorders. In a previous study, we observed significant developmental abnormalities in the neocortex of as early as one week after birth. In the present study, we conducted an extensive analysis of Sbno1 postnatal expression in the brain of C57BL/6 mice using a newly developed in-house polyclonal antibody against Sbno1.

Brachial-Ankle Pulse Wave Velocity Reflects Regional Arterial Stiffness and Distensibility in Patients with Abdominal Aortic Aneurysm.

We investigated the association between brachial-ankle pulse wave velocity (PWV) and arterial stiffness and distensibility in the aneurysmal sac of abdominal aortic aneurysm (AAA). Data from 49 patients with AAA from June 2020 to November 2022 at Tokyo Medical University Hospital were retrospectively analyzed. Brachial-ankle PWV (cm/s) was obtained via an automated oscillometric method.

Prediction of Aneurysm Sac Shrinkage After Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Introduction: A simple risk stratification model to predict aneurysm sac shrinkagein patients undergoing endovascular aortic repair (EVAR) for abdominal aortic aneurysms (AAA) was developed using machine learning-based decision tree analysis.

Methods: One hundred nineteen patients with AAA who underwent elective EVAR at Tokyo Medical University Hospital between November 2013 and July 2019 were included in the study. Predictors of aneurysm sac shrinkage identified in univariable analysis (P < 0.

Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Background: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-risk patients, is crucial. The aim of this study was to determine whether machine learning (ML)-based decision tree analysis (DTA), a subset of artificial intelligence, could predict patient outcomes by identifying complex patterns in data.

Development and validation of Japanese version of alternative food neophobia scale (J-FNS-A): association with willingness to eat alternative protein foods.

Introduction: Food neophobia (FN) is a psychological trait that inhibits one's willingness to eat unfamiliar foods. It is related to the acceptance of insect foods and cultured meat, which are major protein alternatives to conventional meat, and is an important personality trait for understanding the near-future food industry. However, the factor structure of Pliner and Hobden's FN scale (FNS) is unstable due to respondents' cultural backgrounds.