Arginase 1 genetic variation is associated with the risk of vascular complications in type 2 diabetes.

Objective: This study aims to explore the association between arginase 1 (ARG1) genetic variation and susceptibility to type 2 diabetes (T2DM) vascular complications, a primary cause of morbidity and mortality in diabetics.

Methods: ARG1, a risk gene for cardiovascular disease, was identified from GEO datasets GSE22255 and GSE58294. The ENCODE database identified four candidate single-nucleotide polymorphism (SNP) loci.

Associations between serum total bilirubin and overactive bladder from the National Health and Nutrition Examination Survey.

Background: The relationship between serum total bilirubin (STB) concentrations and the risk of overactive bladder (OAB) remains uncertain. This study aims to explore the potential connection between STB and OAB.

Method: We utilized data from the National Health and Nutrition Examination Survey (NHANES) database for the years 2001-2020.

Inverse design of promising electrocatalysts for CO reduction via generative models and bird swarm algorithm.

Directly generating material structures with optimal properties is a long-standing goal in material design. Traditional generative models often struggle to efficiently explore the global chemical space, limiting their utility to localized space. Here, we present a framework named Material Generation with Efficient Global Chemical Space Search (MAGECS) that addresses this challenge by integrating the bird swarm algorithm and supervised graph neural networks, enabling effective navigation of generative models in the immense chemical space towards materials with target properties.

Targeting extracellular matrix components to attenuate microglia neuroinflammation: A study of fibulin-2 and CSPGs in a model of multiple sclerosis.

The extracellular matrix (ECM) plays an important role in the central nervous system (CNS), shaping tissue structure and functions as well as contributing to the pathology of chronic diseases such as multiple sclerosis (MS). ECM components, including fibulin-2 (FBLN2) and chondroitin sulfate proteoglycans (CSPGs), may impact neuroinflammation and remyelination. We investigated the capacity of FBLN2 to modulate immune responses and evaluated its interaction with CSPGs in experimental autoimmune encephalomyelitis (EAE), a common model for MS.

A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition.

Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human-computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. First, Discrete Wavelet Transform (DWT) is applied to extract five brain rhythms, i.