O-GlcNAcylation: A molecular switch linking brain health to neurodegeneration.

Neurodegenerative disorders are typically caused by harmful protein accumulation and nerve cell damage. A post-translational modification called O-linked N-acetylglucosamine ylation acts as a critical regulator in these disorders by controlling protein behavior, cell signaling, and energy balance. This modification is dynamically balanced through the cooperative actions of O-linked N-acetylglucosamine transferase and O-GlcNAcase.

GCAFlow: Multi-Scale Flow-Based Model with Global Context-Aware Channel Attention for Industrial Anomaly Detection.

In anomaly detection tasks, labeled defect data are often scarce. Unsupervised learning leverages only normal samples during training, making it particularly suitable for anomaly detection tasks. Among unsupervised methods, normalizing flow models have shown distinct advantages.

Aloe-Emodin Improves Mitophagy in Alzheimer's Disease via Activating the AMPK/PGC-1α/SIRT3 Signaling Pathway.

Background: Impaired mitophagy results in the accumulation of defective mitochondria that are unable to be cleared effectively in Alzheimer's disease (AD). Aloe-emodin (AE), a key component of the traditional Chinese medicine Rhubarb, exhibits neuroprotective effects against Alzheimer's disease, though the underlying mechanism remains unclear. Studying aloe-emodin's role in enhancing mitophagy is vital for improving cognitive function and reducing neuronal damage in Alzheimer's disease.

Medical image segmentation network based on a multisize convolutional kernel association strategy.

Background: Medical image segmentation plays a crucial role in clinical diagnosis and treatment planning by extracting essential information from tissue images.

Purpose: This research aims to address limitations in current medical image segmentation models by proposing a new CKASnet model that enhances adaptability and efficiency while maintaining segmentation accuracy.

Methods: The CKASnet model integrates a novel convolutional kernel association strategy (CKAS), which modifies and updates convolutional kernels to improve their receptive fields and adaptability.

The anti-Alzheimer's disease effects of ganoderic acid A by inhibiting ferroptosis-lipid peroxidation via activation of the NRF2/SLC7A11/GPX4 signaling pathway.

Alzheimer's disease (AD) is a degenerative disease of the central nervous system, characterized by a gradual decline in cognitive and memory abilities, social disorders, and behavioral abnormalities. Ferroptosis, an iron-dependent type of programmed cell death, is closely associated with the pathogenesis of AD. Ferroptosis is characterized by the accumulation of iron within cells, leading to increased oxidative stress, and ultimately lipid peroxidation and cell death.

A multi-scale information fusion medical image segmentation network based on convolutional kernel coupled updata mechanism.

Medical image segmentation is pivotal in disease diagnosis and treatment. This paper presents a novel network architecture for medical image segmentation, termed TransDLNet, which is engineered to enhance the efficiency of multi-scale information utilization. TransDLNet integrates convolutional neural networks and Transformers, facilitating cross-level multi-scale information fusion for complex medical images.

Photothermal-responsive nanocomposite injectable hydrogel capable of programed peroxidase-mimicking catalysis and immunomodulation and revascularization enables efficient drug-resistant bacterial elimination and comprehensive tissue regeneration.

Intractable infected wound caused by drug-resistant bacteria remains a severe healthcare problem. Reactive oxygen species (ROS)-based nanocatalytic therapy (ROS-NT) is harnessed to combat drug-resistant bacterial infection. However, it can also cause immune imbalance and excessive inflammatory responses, postponing subsequent wound healing process.

Ganoderic acid a alleviates Aβ-induced HT22 cell apoptosis through the ERK/MAPK pathway: a system pharmacology and in vitro experimental validation.

Alzheimer's disease (AD) is a neurodegenerative disorder that occurs with aging. Ganoderma lucidum (Curtis.) P.

CK-ATTnet: Medical image segmentation network based on convolutional kernel attention.

The medical image partition model has a wide range of application prospects in medical diagnosis and treatment and has become an important auxiliary method to improve the diagnostic level by medical imaging analysis. After the feature extraction ability of the convolutional neural network (CNN) reached a bottleneck, the form of feature extraction represented by Transformer has made significant achievements in the medical image domain in recent years. However, the structure of Transformer is relatively fixed, the cost of computer resources is large, and it is difficult to adjust the model structure according to the complex medical imaging segmentation task.

HBI: a hierarchical Bayesian interaction model to estimate cell-type-specific methylation quantitative trait loci incorporating priors from cell-sorted bisulfite sequencing data.

Methylation quantitative trait loci (meQTLs) quantify the effects of genetic variants on DNA methylation levels. However, most published studies utilize bulk methylation datasets composed of different cell types and limit our understanding of cell-type-specific methylation regulation. We propose a hierarchical Bayesian interaction (HBI) model to infer cell-type-specific meQTLs, which integrates a large-scale bulk methylation data and a small-scale cell-type-specific methylation data.

A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence.

Emotion perception is essential to affective and cognitive development which involves distributed brain circuits. Emotion identification skills emerge in infancy and continue to develop throughout childhood and adolescence. Understanding the development of the brain's emotion circuitry may help us explain the emotional changes during adolescence.

Ginsenoside Rb1 reduced ischemic stroke-induced apoptosis through endoplasmic reticulum stress-associated IRE1/TRAF2/JNK pathway.

The neuroprotective function of ginsenoside Rb1 (GRb1) in cerebral ischemia-reperfusion (I/R) was lately emphasized. However, whether GRb1 plays a regulatory role on endoplasmic reticulum (ER) stress-associated pathway in cerebral I/R damage is still unclear. The aim of this study is to explore the function of GRb1 in cerebral ischemia-induced ER stress and the underlying mechanism related to IRE1/TRAF2/JNK pathway.

Redirecting Tumor Evolution with Nanocompiler Precision for Enhanced Therapeutic Outcomes.

Precisely programming the highly plastic tumor expression profile to render it devoid of drug resistance and metastatic potential presents immense challenges. Here, a transformative nanocompiler designed to reprogram and stabilize the mutable state of tumor cells is introduced. This nanocompiler features a trio of components: 2-deoxy-d-glucose-modified lipid nanoparticles to inhibit glucose uptake, iron oxide nanoparticles to induce oxidative stress, and a deubiquitinase inhibitor to block adaptive protein profile changes in tumor cells.

Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.

Heritability and genetic covariance/correlation quantify the marginal and shared genetic effects across traits. They offer insights on the genetic architecture of complex traits and diseases. To explore how genetic variations contribute to brain function variations, we estimated heritability and genetic correlation across cortical thickness, surface area, and volume of 33 anatomically predefined regions in left and right hemispheres, using summary statistics of genome-wide association analyses of 31,968 participants in the UK Biobank.

[Ginsenoside Rg_1 ameliorates OGD/R-induced PC12 cell injury by inhibiting autography via IRE1-JNK-CHOP pathway].

This study investigated the protective effect of ginsenoside Rg_1(GRg_1) on oxygen and glucose deprivation/reoxygenation(OGD/R)-injured rat adrenal pheochromocytoma(PC12) cells and whether the underlying mechanism was related to the regulation of inositol-requiring enzyme 1(IRE1)-c-Jun N-terminal kinase(JNK)-C/EBP homologous protein(CHOP) signaling pathway. An OGD/R model was established in PC12 cells, and PC12 cells were randomly classified into control, model, OGD/R+GRg_1(0.1, 1, 10 μmol·L~(-1)), OGD/R+GRg_1+rapamycin(autophagy agonist), OGD/R+GRg_1+3-methyladenine(3-MA,autophagy inhibitor), OGD/R+GRg_1+tunicamycin(endoplasmic reticulum stress agonist), OGD/R+GRg_1+4-phenylbutyric acid(4-PBA, endoplasmic reticulum stress inhibitor), and OGD/R+GRg_1+3,5-dibromosalicylaldehyde(DBSA, IRE1 inhibitor) groups.

Laser direct overall water splitting for H and HO production.

Hydrogen (H) and hydrogen peroxide (HO) play crucial roles as energy carriers and raw materials for industrial production. However, the current techniques for H and HO production rely on complex catalysts and involve multiple intermediate steps. In this study, we present a straightforward, environmentally friendly, and highly efficient laser-induced conversion method for overall water splitting to simultaneously generate H and HO at ambient conditions without any catalysts.

Graph neural network recommendation algorithm based on improved dual tower model.

In this era of information explosion, recommendation systems play a key role in helping users to uncover content of interest among massive amounts of information. Pursuing a breadth of recall while maintaining accuracy is a core challenge for current recommendation systems. In this paper, we propose a new recommendation algorithm model, the interactive higher-order dual tower (IHDT), which improves current models by adding interactivity and higher-order feature learning between the dual tower neural networks.

Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data.

There is a growing interest in cell-type-specific analysis from bulk samples with a mixture of different cell types. A critical first step in such analyses is the accurate estimation of cell-type proportions in a bulk sample. Although many methods have been proposed recently, quantifying the uncertainties associated with the estimated cell-type proportions has not been well studied.

Spine MRI image segmentation method based on ASPP and U-Net network.

The spine is one of the most important structures in the human body, serving to support the body, organs, protect nerves, etc. Medical image segmentation for the spine can help doctors in their clinical practice for rapid decision making, surgery planning, skeletal health diagnosis, etc. The current difficulty is mainly the poor segmentation accuracy of skeletal Magnetic Resonance Imaging (MRI) images.

Chrysophanol improves memory impairment and cell injury by reducing the level of ferroptosis in A treated rat and PC12 cells.

Alzheimer's disease (AD) is a common age-related chronic and neurodegenerative disease that has become a global health problem. AD pathogenesis is complex, and the clinical efficacy of commonly used anti-AD drugs is suboptimal. Recent research has revealed a close association between AD-induced damage and the activation of ferroptosis signaling pathways.