Quantitative assessment of the associations between MTR and MTRR gene polymorphisms and glioma risk.

Purpose: Previous research on the correlation between methionine synthase (MTR) and methionine synthase reductase (MTRR) gene polymorphisms and the susceptibility to glioma has yielded varied results. This study aims to elucidate the potential impact of MTR and MTRR polymorphisms as contributing factors in the development of glioma.

Patients And Methods: A comprehensive review of the relevant literature was conducted across several major databases, encompassing records from their inception through April 2025.

High-power excimer laser homogenization using dual-microlens arrays.

The high-power excimer laser is widely used in advanced lithography. To meet the high requirements for beam uniformity in lithography illumination systems, we researched excimer laser homogenization using microlens arrays. This paper proposes a tunable excimer laser model that more accurately reflects the conditions of practical light sources based on the far-field propagation characteristics of multi-Gaussian Schell-model partially coherent light.

Noninvasive Intracranial Pressure Prediction Using a Multimodal Ultrasound-Based Hemispheric Modeling Strategy: A Prospective Dual-Center Study.

Background: Accurate intracranial pressure (ICP) surveillance is a cornerstone of neurocritical care management, yet invasive monitoring still depends on neurosurgical expertise, specialized hardware, and continuous bedside resources-factors that restrict universal use even though insertion-related complications are relatively uncommon. Contemporary noninvasive ultrasound methods have limited predictive accuracy and seldom incorporate affected side information. We therefore preliminarily validated a multimodal, ultrasound-based hemispheric modeling approach that blends hemodynamic and structural indexes while emphasizing affected side specificity to enhance ICP prediction.

Moist-Exposed Burn Ointment Promotes Angiogenesis During Full-Thickness Wound Healing by Activating the SDF-1/CXCR4 Axis in a Hyperglycaemic Rat Model.

The mechanism by which moist-exposed burn ointment (MEBO) promotes wound healing in diabetic foot ulcers (DFUs) remains unclear. To elucidate this mechanism, we investigated the role of stromal cell-derived factor-1 (SDF-1) in MEBO's ability to enhance ulcer healing and neovascularisation using a full-thickness wound model in hyperglycaemic rats. On post-wounding days 3, 7, and 14, the wound healing rates were significantly higher in the MEBO group compared to the model group and Vaseline group (p < 0.

AI-enabled precise brain tumor segmentation by integrating Refinenet and contour-constrained features in MRI images.

Background: Medical image segmentation is a fundamental task in medical image analysis and has been widely applied in multiple medical fields. The latest transformer-based deep learning segmentation model, Segment Anything Model (SAM), has demonstrated outstanding performance in natural image segmentation tasks through large-scale pre-training, achieving zero-shot image semantic understanding and pixel-level segmentation. However, medical images present challenges such as style variability, ill-defined object boundaries, and feature ambiguities, limiting the direct applicability of the SAM to medical image segmentation tasks.

MamTrans: magnetic resonance imaging segmentation algorithm for high-grade gliomas and brain meningiomas integrating attention mechanisms and state-space models.

Background: Meningiomas and gliomas represent the most common benign and malignant brain tumors, where accurate segmentation is essential for clinical assessment and surgical planning. Although magnetic resonance imaging (MRI) serves as a crucial diagnostic tool, precise segmentation remains challenging due to significant morphological and structural variations between tumor types and surrounding complex soft tissues. While Mamba models demonstrate excellence in sequence processing and attention mechanisms show promising performance, both face limitations in feature extraction and computational efficiency, respectively.

Hypoxia Impairs Neuromuscular Function More Than Heat After Incremental Test to Exhaustion.

Heat stress and hypoxia impair athletic performance through inflammation, muscle injury, and neuromuscular dysfunction. This study examined these effects in 15 endurance athletes (13 males and 2 females, VO=59.5±3.

Search engines and short video apps as sources of information on acute pancreatitis in China: quality assessment and content assessment.

Background: Acute pancreatitis is a prevalent condition in China. A plethora of information pertaining to acute pancreatitis is readily available on the Internet, including on major search engines and various short video applications. The objective of this study was to evaluate and compare the quality, content completeness, and accuracy of information related to acute pancreatitis on web pages of the four major search engines and short videos on the two major short video platforms.

Multiple Single Cannulaton Technique for Puncturing Arteriovenous Fistulas: Randomized Comparison With Rope Ladder Technique Cannulation.

Objective: This study aims to evaluate the impact of multiple single cannulation technique (MuST) on complications associated with arteriovenous fistulas (AV fistulas) in hemodialysis patients.

Methods: Patients who initiated hemodialysis using AV fistulas at our hospital between August 2023 and December 2023 were selected using convenience sampling. Participants were randomly assigned to either the control group or the experimental group using a random number table, with odd-numbered patients placed in the control group and even-numbered patients in the experimental group.

BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers.

Background And Objective: Accurate diagnosis of brain tumors significantly impacts patient prognosis and treatment planning. Traditional diagnostic methods primarily rely on clinicians' subjective interpretation of medical images, which is heavily dependent on physician experience and limited by time consumption, fatigue, and inconsistent diagnoses. Recently, deep learning technologies, particularly Convolutional Neural Networks (CNN), have achieved breakthrough advances in medical image analysis, offering a new paradigm for automated precise diagnosis.

Characteristics of symptoms during athletes' COVID-19 infection and return to training: A descriptive study.

This study aims to analyze the symptom characteristics and changes in symptoms upon returning to training among athletes infected with the novel corona virus disease 2019 (COVID-19). The findings provide recommendations for training and medical support for athletes after infection. In-depth analysis was conducted on symptom data from 221 athletes who tested positive for COVID-19 between December 2022 and January 2023.

Effects of Heat and Hypoxia Training on the Fat Oxidation Capacity of Competitive Athletes.

This study aimed to evaluate the impact of a four-week heat and hypoxia training on the fat oxidation capacity of competitive athletes. Eight elite male modern pentathlon athletes completed a four-week aerobic endurance training program in three environments: normal (CON), high temperature and humidity (HOT), and hypoxia (HYP). Assessments were conducted in both the normal environment and the corresponding special environment before and after training.

The practice of a modified bubble CPAP therapy in a rural Sierra Leone SCBU-A pilot study.

Background: Continuous Positive Airway Pressure (CPAP) is an effective intervention for managing neonatal respiratory distress. However, its implementation encounters numerous challenges in resource-limited settings. It is imperative for healthcare professionals to devise highly practical and cost-effective modifications to CPAP systems to address these challenges.

Association of Admission Times on Mortality in Adult Patients with Severe Community-Acquired Pneumonia.

ObjectivesThe objective of this study was to examine the association between admission time and in-hospital mortality in patients with severe community-acquired pneumonia.Research DesignThe study population consisted of individuals who were enrolled between January 2019 and December 2023. These individuals were divided into two groups based on the time of admission: daytime admission from 8:00 am to 6:00 pm and nighttime admission from 6:00 pm to 8:00 am The primary endpoint of the study was in-hospital mortality.

Machine learning-based risk prediction model for arteriovenous fistula stenosis.

Background: Arteriovenous fistula stenosis is a common complication in hemodialysis patients, yet effective predictive tools are lacking. This study aims to develop an interpretable machine learning model for stenosis risk prediction.

Methods: Clinical data from 974 patients (55 features) undergoing arteriovenous fistula dialysis at The Central Hospital of Wuhan (2017-2024) were analyzed retrospectively.

Stratifying trigeminal neuralgia and characterizing an abnormal property of brain functional organization: a resting-state fMRI and machine learning study.

Objective: Increasing evidence suggests that primary trigeminal neuralgia (TN), including classical TN (CTN) and idiopathic TN (ITN), share biological, neuropsychological, and clinical features, despite differing diagnostic criteria. Neuroimaging studies have shown neurovascular compression (NVC) differences in these disorders. However, changes in brain dynamics across these two TN subtypes remain unknown.

The prognostic significance of FMR1 expression and its immunomodulatory implications in esophageal carcinoma.

Background: Esophageal carcinoma (ESCA) is deemed a highly lethal malignancy with a grim prognosis and stands as the fourth leading cause of cancer-related mortality. Recent research has revealed the potential crucial role of fragile X mental retardation 1 (FMR1) protein in tumor development and progression. However, the correlation between FMR1 and immune regulation in ESCA remains unclear.

PYGO2 as a novel prognostic biomarker and its correlation with immune infiltrates in liver cancer.

Objective: The PYGO2 gene plays a significant role in various cancers. However, its prognostic significance and involvement in immune infiltration in liver cancer remain unclear. This study aimed to comprehensively evaluate PYGO2 expression and its associations with prognosis and clinicopathological features in liver cancer.

MXene/VO@PMMA Composite Film Multi-responsive Actuator with Amphibious Motion.

This work introduces a novel composite film actuator with dual actuation mechanisms, responsive to four distinct stimuli, and featuring infrared stealth as well as amphibious locomotion capabilities. By encapsulating nanoscale VO phase-change materials with PMMA and coating them onto a thin film of micrometer-scale TiCT MXene, the composite film achieves efficient photothermal conversion, high electrical conductivity, and humidity-responsive actuation. The composite film is integrated into millirobots capable of crawling, grasping, oscillating, and achieving unrestricted movement on water surfaces.

The comparison of gut microbiota between different types of epilepsy in children.

Objective: To better understand the variations in gut microbiota in children with different types of epilepsy.

Methods: Thirty-seven children with epilepsy were included in the case group, which was further divided into focal (group A, n = 28) and generalized epilepsy groups (group B, n = 9) based on the origin and extent of the seizures. The focal epilepsy group was subdivided into the benign childhood epilepsy with centrotemporal spikes (BECT) (group C, n = 9) and non-BECT groups (group D, n = 19) based on the appearance of typical centrotemporal spikes or spike-wave complexes on the electroencephalogram (EEG).

Alterations of early-life gut microbiome in hospitalized infants with chemical pollutants exposure.

Exposure to chemical pollutants and their effects on the gut microbiome during early life are scarce, especially the effects of mixed exposures. Plasma pollutants levels were measured using gas chromatography -triple quadrupole mass spectrometer (GC-MS/MS) among 304 infants in the neonatal ward at Hunan Children's hospital, China, and gut microbiota was derived from 16S rRNA sequencing. We assessed exposure and alpha diversity using generalized linear models, and variation in beta diversity (Bray-Curtis), taxa abundance (MaAsLin2), and employed Bayesian kernel machine regression (BKMR) to investigate the association of pollutants mixture with alpha diversity and taxa.

Intracellular protein ligation and polyprotein synthesis using an asparaginyl endopeptidase core.

An intracellular protein ligation system using a truncated variant of AEP1 (AEP1 core) to ligate and polymerize Ig domains in is developed, enabling real-time polyprotein synthesis without enzyme activation and external ligation. This approach yields functional, mechanically stable polyproteins and expands AEP applications in synthetic biology and biomaterials.

Association of thallium exposure in early life with gut microbiota in neonates.

Previous research has found a correlation between heavy metals and gut microbiota in humans. However, there are few population-based studies examining the impact of early life thallium (Tl) exposure on neonatal microbiome. 342 newborns were recruited from Hunan Children's Hospital and subsequently divided into three groups (low, medium, and high) based on the 25th and 75th percentiles of serum Tl concentration.

Application and effect evaluation of microsurgical resection combined with intensity-modulated radiation therapy in the treatment of intracranial solitary fibrous tumor/hemangiopericytoma.

Intracranial solitary fibrous tumor (SFT) and hemangiopericytoma (HPC) are rare mesenchymal tumors with significant vascularization, often misdiagnosed as meningiomas. Surgical resection is the primary treatment, with postoperative radiotherapy increasingly recognized for its role in improving recurrence-free survival. However, standard radiotherapy regimens remain undefined.