Akkermansia muciniphila relieves inflammatory response in DSS-induced ulcerative colitis in mice through regulating macrophage polarization via SCFAs-SLC52A2/FFAR2 pathway.

Ulcerative colitis (UC) remains an intractable and relapsing disease featured by intestinal inflammation. The anti-UC activity of Akkermansia muciniphila (AKK), an intestinal microorganism, has been widely investigated. The current work is to explore the impacts of AKK on UC and its possible reaction mechanism.

Impact of EML4-ALK Variants and TP53 Status on the Efficacy of ALK Inhibitors in Patients With Non-small Cell Lung Cancer.

Background: The clinical implications of different EML4-ALK fusion variants remain poorly elucidated in the era of second-generation ALK inhibitors.

Methods: This was a retrospective cohort study, wherein patients diagnosed with locally advanced or metastatic non-small cell lung cancer harboring EML4-ALK fusion were stratified into two cohorts based on their first-line treatment: Cohort 1 received alectinib, while Cohort 2 received crizotinib. Statistical analysis was employed to investigate the impact of different EML4-ALK variants and TP53 status on the efficacy of first-line ALK-TKIs.

CAMKIIδ Reinforces Lipid Metabolism and Promotes the Development of B Cell Lymphoma.

The most prevalent types of lymphomas are B cell lymphomas (BCL). Newer therapies for BCL have improved the prognosis for many patients. However, approximately 30% with aggressive BCL either remain refractory or ultimately relapse.

Mapping the priority conservation areas for three endangered Cupressaceae plants under climate change in China.

The establishment of conservation areas is an important strategy for endangered species conservation. In this study, we investigated the distributions of suitable habitat areas for three level 1 endangered Cupressaceae plants (, , and ) in China and used the Marxan model to delineate the priority conservation areas for each species. The results showed that had the broadest suitable growing area under the current climate in China and is followed by , with an area of 91 × 10 km, and had the smallest suitable habitat areas at only 7 × 10 km.

Exploring new horizons in mid-to-far infrared nonlinear optical crystals: the significant potential of trigonal pyramidal [TeS] functional units.

Traditional tetrahedral-based mid-to-far infrared (MFIR) nonlinear optical (NLO) crystals often face limitations due to the optical anisotropy constraints imposed by their highly symmetric structures. In contrast, the relatively rare trigonal pyramidal [TeS] functional unit characterized by its asymmetric structure and stereochemically active lone pair (SCALP), offers improved optical anisotropy, hyperpolarizability and a broader IR transparency range. Despite its potential, synthetic challenges have hindered the development of MFIR NLO crystals that incorporate this unit, with only one example reported to date.

Titanium nanotubes modulate immunophenotyping and cytokine secretion of T cells via IL-17A: a bioinformatic analysis and experimental validation.

Object: We aim to explore the immunomodulatory properties of T cells on different titanium nanotubes and the key immunological factors involved in this process.

Methods: Transcriptome data from GEO database of healthy people and healthy implants were used to analyze cell infiltration and factor distribution of adaptive immune using bioinformatics tools. T cells from activated rat were cultured on titanium nanotubes that were prepared by anodization with different diameters (P-0, NT15-30 nm, NT40-100 nm, NT70-200 nm).

Application of MRI image segmentation algorithm for brain tumors based on improved YOLO.

Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.

Methods: The research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images.

Prediction and stratification for the surgical adverse events after minimally invasive esophagectomy: A two-center retrospective study.

Background: Minimally invasive esophagectomy (MIE) is a widely accepted treatment for esophageal cancer, yet it is associated with a significant risk of surgical adverse events (SAEs), which can compromise patient recovery and long-term survival. Accurate preoperative identification of high-risk patients is critical for improving outcomes.

Aim: To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with MIE.

Gut microbiota shifts in hepatitis B-related portal hypertension after transjugular intrahepatic portosystemic shunt: Mechanistic and clinical implications.

In this article, we provide commentary on the recent article by Zhao . We focus on the shifts in the gut microbiota of patients with hepatitis B virus (HBV)-associated cirrhosis/portal hypertension (PH) following transjugular intrahepatic portosystemic shunt (TIPS) and the implications for understanding the mechanisms, diagnosis, and treatment. By comparing the gut microbiota composition and dynamic changes before and after TIPS in patients with and without hepatic encephalopathy, the authors found an increase in non-probiotic bacteria in those who developed hepatic encephalopathy post-TIPS, with species present only in the hepatic encephalopathy group.

A cross-sectional study on the correlation between internal cerebral vein asymmetry and hemorrhagic transformation following endovascular thrombectomy.

Introduction: Hemorrhagic transformation (HT) is a severe complication in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO) after endovascular treatment (EVT). We hypothesize that asymmetry of the internal cerebral veins (ICVs) on baseline CT angiogram (CTA) may serve as an adjunctive predictor of HT.

Methods: We conducted a study on consecutive AIS-LVO patients from November 2020 to April 2022.

Global research trends in the application of artificial intelligence in oncology care: a bibliometric study.

Objective: To use bibliometric methods to analyze the prospects and development trends of artificial intelligence(AI) in oncology nursing from 1994 to 2024, providing guidance and reference for oncology nursing professionals and researchers.

Methods: The core set of the Web of Science database was searched for articles from 1994 to 2024. The R package "Bibliometrix" was used to analyze the main bibliometric features, creating a three-domain chart to display relationships among institutions, countries, and keywords.

An orphan viral genome with unclear evolutionary status sheds light on a distinct lineage of flavi-like viruses infecting plants.

Advancements in high-throughput sequencing and associated bioinformatics methods have significantly expanded the RNA virus repertoire, including novel viruses with highly divergent genomes encoding "orphan" proteins that apparently lack homologous sequences. This absence of homologs in routine sequence similarity search complicates their taxonomic classification and raises a fundamental question: Do these orphan viral genomes represent viruses? In 2022, an orphan viral genome encoding a large polyprotein was identified in alfalfa () and thrips (), and named Snake River alfalfa virus (SRAV). SRAV was initially proposed as an uncommon flavi-like virus identified in a plant host distantly related to family .

Application of artificial intelligence in the health management of chronic disease: bibliometric analysis.

Background: With the rising global burden of chronic diseases, traditional health management models are encountering significant challenges. The integration of artificial intelligence (AI) into chronic disease management has enhanced patient care efficiency, optimized treatment strategies, and reduced healthcare costs, providing innovative solutions in this field. However, current research remains fragmented and lacks systematic, comprehensive analysis.

Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net.

Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation.

Level measurement, regional variations, and the dynamic evolution of active aging in China-analysis based on CHARLS tracking data.

Introduction: Given the world's largest and increasingly serious aging population, China has elevated "positively responding to aging of population" to a national strategy. Exploring the current state and evolutionary trends of active aging over the past decade is a fundamental prerequisite and the primary task for implementing this strategy.

Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2018), this study primarily employs methods such as the entropy method, Gini coefficient, Moran index, and Kernel density estimation to analyze the development level, regional differences, and dynamic evolution of active aging in China.

NAFPD exacerbation by hyperlipidemia combined with hyperuricemia: a pilot rat experiment in lipidomics.

Background: Hyperuricemia and non-alcoholic fatty pancreas disease (NAFPD) are prevalent metabolic diseases, but the relationship between them remains underexplored.

Methods: Eighteen Sprague-Dawley rats were randomly assigned to three groups: normal (CON), high-fat (PO), and high-fat high-uric acid (PH). After 12 weeks, serum uric acid (SUA) and triacylglycerol levels were measured.

A double probe-based fluorescence sensor array to detect rare earth element ions.

There is a persistent need for effective sensors to detect rare earth element ions (REEIs) due to their effects on human health and the environment. Thus, a simple and efficient fluorescence-based detection method for REEIs that offers convenience, flexibility, versatility, and efficiency is essential for ensuring environmental safety, food quality, and biomedical applications. In this study, 6-aza-2-thiothymine-gold nanoclusters (ATT-AuNCs) and bovine serum albumin/3-mercaptopropionic acid-AuNCs (BSA/MPA-AuNCs) were utilized to detect 14 REEIs (Sc, Gd, Lu, Y, Ce, Pr, Yb, Dy, Tm, Sm, Ho, Tb, La, and Eu), resulting in the creation of a simple, sensitive, and multi-target fluorescence sensor array detection platform.

Nitrogen Modified Linear Polythiophene Derivatives with Polarized Charge Distribution for Red Light-Induced Photocatalysis.

Elevating the long-wavelength activation of photocatalysts represents a formidable approach to optimizing sunlight utilization. Polythiophene (PTh), although renowned for its robust light absorption and excellent conductivity, is largely overlooked for its potential as a photocatalyst due to the swift recombination of photogenerated charge carriers. Herein, we unveil that the strategic introduction of an aromatic ring containing varying nitrogen content into PTh instigates polarized charge distribution and facilitates the narrowing of the band gap, thereby achieving efficient photocatalytic activities for both hydrogen and hydrogen peroxide generation.

Efficiency enhancement in main path extraction in mRNA vaccine field: A novel approach leveraging intermediate patents, with shielding origin and terminus patent edges.

mRNA vaccines offer groundbreaking technological advantages and broad application potential. Their rapid advancement, particularly during the COVID-19 pandemic, is the result of decades of research and numerous technological breakthroughs. These discoveries build upon each other, forming dense, interconnected networks of progress.

Lanthanide-Porphyrin MOF as a Multifunctional Platform for Detection and Integrated Elimination of Cr(VI) and Ciprofloxacin.

Environmental concerns are driving the development of eco-friendly and effective methods for contaminant monitoring and remediation. In this study, a lanthanide porphyrin-based MOF with dual fluorescence sensing and photocatalytic properties was synthesized and applied for the detection and combined removal of Cr(VI) and ciprofloxacin (CIP). Using different excitation wavelengths, the material exhibited selective detection of Cr(VI) via fluorescence quenching and CIP through fluorescence enhancement.

Binary Metal Alloy Electrocatalyst Synergistically Accelerates the Bidirectional Polysulfide Conversions in Lithium-Sulfur Batteries.

The sluggish redox kinetics of polysulfides and the resulting shuttle effect remain significant challenges for the practical utilization of lithium-sulfur (Li-S) batteries. To address the unidirectional catalytic limitations of conventional electrocatalysts, we herein report a binary metal (CoNi) alloy embedded in a carbon matrix on carbon nanofibers (CoNi@C-CNFs) as a highly efficient electrocatalyst to accelerate bidirectional polysulfide conversions. Time-of-flight secondary ion mass spectrometry (TOF-SIMS) reveals a significantly improved catalytic effect of the CoNi alloy toward polysulfide conversions after introducing the Ni component.

Quantum Dot Luminescence Microspheres Enable Ultra-Efficient and Bright Micro-LEDs.

Quantum dot (QD)-converted micrometer-scale light-emitting diodes (micro-LEDs) are regarded as an effective solution for achieving high-performance full-color micro-LED displays because of their narrow-band emission, simplified mass transfer, facile drive circuits, and low cost. However, these micro-LEDs suffer from significant blue light leakage and unsatisfactory electroluminescence properties due to the poor light conversion efficiency and stability of the QDs. Herein, the construction of green and red QD luminescence microspheres with the simultaneously high conversion efficiency of blue light and strong photoluminescence stability are proposed.

Exploring PANoptosis Related Novel Diagnostic Biomarkers and Potential Drugs for Sarcopenia based on Machine Learning and Experimental Validation.

Background: Sarcopenia, an aseptic chronic inflammatory disease, is a complex and debilitating disease characterized by the progressive degeneration of skeletal muscle. PANoptosis, a novel proinflammatory programmed cell death pathway, has been linked to various diseases. However, the precise role of PANoptosis-related features in sarcopenia remains uncertain.

Lattice Distortions Promoting the In-Depth Reconstruction of Ni-Based Electrocatalysts with Enriched Oxygen Vacancies for the Electrochemical Oxidation of 5-Hydroxymethylfurfural toward 2,5-Furandicarboxylic Acid.

The electrocatalytic 5-hydroxymethylfurfural (HMF) oxidation reaction (HMFOR) toward 2,5-furandicarboxylic acid (FDCA) has been considered a promising approach for the substitution of the energy-consuming and hazardous oxygen evolution reaction and for the valorization of renewable biomass. However, it is limited by the susceptibility of HMF to the oxidative environment and requires efficient electrocatalysts. Herein, a NiMo complex (NiMo-N) is provided as the precatalyst for the HMFOR, exhibiting favorable performances with a current density of 450 mA·cm achieved at an anodic potential of 1.