Diagnostic Accuracy of Ambient Mass Spectrometry with Blood Plasma in a Murine Glioma Model Using Machine Learning.

Objective: Malignant glioma progresses rapidly and shows poor prognosis, but clinically applicable blood plasma-based biochemical tumor markers remain lacking. This study aimed to develop a diagnostic system using probe electrospray ionization mass spectrometry (PESI-MS) and a machine-learning logistic regression model to detect plasma changes at various time points in a murine glioma model.

Methods: We used a syngeneic intracranial orthotopic murine model with GL261 glioma cells.

The fly brain lands in Tokyo: A report on the 3rd Asia Pacific Drosophila Neurobiology Conference.

The third Asia Pacific Drosophila Neurobiology Conference (APDNC3) was held in the Wako Campus of RIKEN in Tokyo, Japan, from February 27th to March 1st, 2024. While APDNC2 was held in Taiwan in 2019, the global coronavirus pandemic enforced a long hiatus. Hence, APDNC3 was a much-anticipated meeting that attracted ~218 scientists from 18 different countries and regions, 154 from outside Japan.

Vitamin K2 sensitizes the efficacy of venetoclax in acute myeloid leukemia by targeting the NOXA-MCL-1 pathway.

Promising outcomes have been reported in elder patients with acute myeloid leukemia (AML) using combined therapy of venetoclax (VEN) and azacytidine (AZA) in recent years. However, approximately one-third of patients appear to be refractory to this therapy. Vitamin K2 (VK2) shows apoptosis-inducing activity in AML cells, and daily oral VK2 (menaquinone-4, GlakayR) has been approved for patients with osteoporosis in Japan.

A lightweight data-driven spiking neuronal network model of olfactory nervous system with dedicated hardware support.

Data-driven spiking neuronal network (SNN) models enable analysis of the nervous system at the cellular and synaptic level. Therefore, they are a key tool for elucidating the information processing principles of the brain. While extensive research has focused on developing data-driven SNN models for mammalian brains, their complexity poses challenges in achieving precision.