A novel NIR iridium(III) complex-based probe for accurate imaging of mitochondrial biothiols in ferroptosis-mediated lung ischemia-reperfusion injury.

Background: Lung ischemia-reperfusion injury (LIRI) is a pathological condition characterized by aggravated oxidative-inflammatory tissue damage that occurs upon blood flow restoration after ischemia. LIRI can lead to severe complications, including primary graft dysfunction in lung transplants and multi-organ failure. However, current treatments remain limited.

Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning.

Accurate early prediction of epileptic seizures is crucial for improving patients' quality of life. However, existing seizure prediction methods often rely on large-scale labeled datasets and face challenges in generalization and real-time performance. To address these issues, this study proposes an efficient seizure prediction framework that achieves high performance even with limited labeled data, significantly reducing dependence on extensive annotations.

Theaflavins Inhibit Proliferation and Glycolysis of Colorectal Cancer Cells by Downregulating DDIT4.

Colorectal cancer (CRC) is a common malignancy often characterized by metastasis and poor prognosis. This study attempts to ascertain the anticancer impacts of theaflavin (TF) on CRC cells and examine the fundamental molecular mechanisms, focusing on the function of DDIT4 in CRC progression. This study utilized RNA sequencing for gene expression profiling, differential expression analysis, and Venn diagram analysis for overlapping genes.

Effects of nitrogen forms on growth and soil bacterial diversity of Cinnamomum camphora ct. citral seedlings.

The scarcity of natural citral has spurred interest in its alternative sources such as the essential oil-rich branches and leaves of citral balsam fir. This study assessed the impact of nitrate, ammonium, and amide nitrogen forms at varying concentrations on the growth, development, and soil bacterial diversity of 1-year-old Cinnamomum camphora ct. citral seedlings.

Genetic design of soybean hosts and bradyrhizobial endosymbionts reduces NO emissions from soybean rhizosphere.

Soybeans fix atmospheric N through symbiosis with rhizobia. The relationship between rhizobia and soybeans, particularly those with high nitrous oxide (NO)-reducing (NOR) activities, can be leveraged to reduce NO emissions from agricultural soils. However, inoculating soybeans with these rhizobia under field conditions often fails because of the competition from indigenous rhizobia that possess low or no NOR activity.

Identifying the Oxidase-like Behavior of N-Doped Carbon Nanozymes via Postsynthetic Modification for Colorimetric Sensing.

N-doped carbon nanomaterials (NCMs) have attracted significant interest as metal-free nanozymes for sensing due to their exceptional stability and biocompatibility. However, the controversial active sites and catalytic pathways severely hinder the application of NCM-based nanozymes. Here, postsynthetic modification methods have been developed to study the catalytic mechanism, including selective deactivation, chemical grafting, and surface doping.

Genetic and serological analyses of equine influenza viruses isolated in Kumamoto and Hokkaido, Japan in 2025.

In April and May 2025, outbreaks of equine influenza occurred for the first time in 17 years in Japan. Equine influenza virus (EIV) of the H3N8 subtype was mainly detected in heavy draft horse populations in Kumamoto Prefecture and the Tokachi area of Hokkaido. In total, 10 EIVs were isolated from infected horses and then were used for genetic and serological analyses.

Object detection model of vehicle-road cooperative autonomous driving based on improved YOLO11 algorithm.

To address the issues of low detection accuracy, false detection, and missing detection, as well as the challenge of modeling lightweight scenes caused by the overlapping occlusion of roadside targets and distant targets in autonomous driving scenarios, an improved small target detection algorithm for autonomous driving based on YOLO11 is proposed. Firstly, it embedded the Channel Transposed Attention in the C3k2 module, proposed the C3CTA module, and replaced the C3k2 module in the Backbone network to improve the feature extraction ability and strengthen the detection ability in the case of target occlusion. Secondly, the Diffusion Focusing Pyramid Network is introduced to improve the Neck part, enhance the understanding ability of small targets in complex scenes, and effectively solve the problem that it is difficult to extract vehicle target features.

Transcription factor ETV1 promotes angiogenesis after myocardial infarction via activation of the VEGFA/VEGFR2/eNOS pathway.

Background: In our previous study, through integrative transcriptomic and ChIP-seq analysis, we revealed that ETV1 is a potential transcription factor involved in ventricular remodeling in the early stage of MI. This study aims to investigate the regulatory roles of ETV1 and whether ETV1 regulates angiogenesis after MI.

Methods: In this study, MI model was induced by ligating the left anterior descending coronary artery.

Upright-Net+: Enhanced Learning of Upright Orientation for 3D Point Clouds.

Automatic 3D shape analysis is heavily influenced by the pose of input 3D models, as the continuous nature of pose space introduces complexities that usually exceed the encoding capacities of standard deep learning frameworks. To tackle this challenge, we present Upright-Net+, an enhancement of our previous model, Upright-Net, specifically developed for estimating upright orientation in 3D point clouds. Our approach is grounded in the design principle that "form ever follows function," treating the natural base of an object as a functional structure that stabilizes it in its typical pose, influenced by physical laws and geometric properties.

Effects of sediment deposition and interspecific competition on the growth and ecological stoichiometric characteristics of .

With as the competitor species, we set four sedimentation depths (0, 3, 6, and 12 cm) and four competition treatments (no competition, full competition, aboveground competition, and belowground competition) to assess the growth and stoichiometric traits of , a representative wetland plant in Dongting Lake. The results showed that both sedimentation and competition significantly affected the total biomass of . Moderate sedimentation (3-6 cm) facilitated biomass accumulation, whereas excessive sedimentation (12 cm) suppressed growth.

High-Fidelity Profiling of Multiple Nearby Mutations via Cooperative Recognition.

Detection methods with single-nucleotide specificity are essential tools for nucleic acid analysis in diverse clinical and biological settings. However, both hybridization-based and enzyme-based methods are only effective for discriminating single-nucleotide mutations at certain positions, making it difficult to detect nucleic acid targets having multiple nearby mutations. Herein, we describe the design of cooperative recognition probes (CRPs) that integrate both hybridization and ligation-based recognition mechanisms and thus are highly effective for discriminating mutations throughout all positions.

Selenized neural stem cell-derived exosomes: A neotype therapeutic agent for traumatic injuries of the central nervous system.

Oxidative damage and neuroinflammation are the key features of central nervous system (CNS) injury. Inspired by the neuroprotective properties of neural stem cell-derived exosomes (NExo) and the reactive oxygen species (ROS) scavenging ability of selenium, we develop an advanced NExo bearing ultrasmall nano-selenium (∼3.5 nm) via lipid-mediated nucleation (SeNExo).

YOLOv8-Seg with Dynamic Multi-Kernel Learning for Infrared Gas Leak Segmentation: A Weakly Supervised Approach.

Gas leak detection in oil and gas processing facilities is a critical component of the safety production monitoring system. Non-contact detection technology based on infrared imaging has emerged as a vital real-time monitoring method due to its rapid response and extensive coverage. However, existing pixel-level segmentation networks face challenges such as insufficient segmentation accuracy, rough gas edges, and jagged boundaries.

Fe-Modulated In Situ Formation of Hydrogels with Tunable Mechanical Properties.

Fe-incorporated hydrogels are particularly valuable for wearable devices due to their tunable mechanical properties and ionic conductivity. However, conventional immersion-based fabrication fundamentally limits hydrogel performance because of heterogeneous ion distribution, ionic leaching, and scalability limitations. To overcome these challenges, we report a novel one-pot strategy where controlled amounts of Fe are directly added to polyacrylamide-sodium acrylate (PAM-SA) precursor solutions, ensuring homogeneous ion distribution.

Targeting ROCK2 to Restore Epileptic Synaptic Networks via Mitophagy Activation: Insights from Translational Imaging of SV2A In Vivo.

Temporal lobe epilepsy (TLE) is increasingly recognized as a network-level disorder, with contemporary strategies shifting focus from localized epileptic lesions to targeting dysfunctional epileptogenic networks. Leveraging recent advancements in neuroimaging genetics and the growing understanding of brain network remodeling in epilepsy, partial least squares regression is employed to integrate the altered synaptic connectome in TLE patients with a human transcriptomics dataset. The findings reveal a strong association between disruptions in synaptic density similarity networks and the spatial transcriptional profiles of TLE risk genes, identifying Rho-associated protein kinase 2 (ROCK2) as a pivotal gene.

Dual-Terminal Molecular Strategy for Robust and Reversible Supramolecular Adhesion.

Achieving strong yet reversible adhesion via minimalist molecular design remains a critical challenge for next-generation supramolecular materials. Here, a dual-end modular adhesion strategy is presented based on a small organic molecule incorporating carboxylic acid and triphenylphosphonium terminals linked by a flexible alkyl spacer. This design enables synergistic noncovalent interactions-including hydrogen bonding, dipole-dipole interactions, and electrostatic forces-to construct a thermally reconfigurable supramolecular network.

Investigation on the Inhibitory Mechanism of Chai Hu Hua Ji Tang on Liver Cancer Based on a Network Pharmacology Analysis.

Hepatocellular carcinoma (HCC) poses a serious threat to human health due to its high incidence and mortality rates. In recent years, the application of traditional Chinese medicine (TCM) in the comprehensive treatment of liver cancer has gained increasing attention. Clinical practices have demonstrated the mighty efficacy of Chai Hu Hua Ji Tang (CHHJT) in liver cancer treatment, yet its underlying mechanism remains unexplored.

Clinical Assessment of Next-Generation Sequencing Probe Reproducibility in Short-Read Sequencing (ClinRay) Using Digital Twins.

Short-read next-generation sequencing is widely used for clinical diagnosis but faces limitations in accurately detecting variants in complex genomic regions, such as segmental duplications, guanine-cytosine rich areas, and repeat sequences. These challenging regions comprise only 3% to 5% of the exome, yet their stochastic library preparation and bioinformatics analysis impacts variant detection reproducibility. Evaluating reproducibility is time-consuming, and variants in these regions require validation through sequencing replicates and using orthogonal methods like long-range PCR or Sanger sequencing, thereby increasing costs and turnaround times for clinical laboratories.

Targeted urinary metabolomics combined with machine learning to identify biomarkers related to central carbon metabolism for IBD.

Introduction: Inflammatory bowel disease (IBD), comprising Crohn's disease (CD) and ulcerative colitis (UC), is a chronic and relapsing inflammatory disorder of the gastrointestinal tract. Current diagnostic approaches are invasive, costly, and time-consuming, underscoring the need for non-invasive, accurate diagnostic methods.

Methods: We conducted a targeted metabolomic analysis of 49 metabolites related to central carbon metabolism in urinary samples from individuals with IBD and control group.

Link between Parkinson's disease and melanoma: insights into the influence of the gene family.

Parkinson's disease (PD) is a common neurodegenerative disorder characterized by damage to dopaminergic neurons within the substantia nigra region of the midbrain. Melanoma, on the other hand, is a malignant skin tumor formed by the abnormal proliferation of melanocytes, often linked to genetic predisposition and ultraviolet exposure. Emerging evidence confirms a significant association between PD and melanoma, with individuals afflicted with PD displaying a higher susceptibility to melanoma development.

Mesangial Cells in Diabetic Kidney Disease: From Mechanisms to Therapeutic Implications.

Diabetic kidney disease (DKD) is a serious diabetic complication, the morbidity and mortality of which has rapidly increased worldwide. As known, the pathogenesis of DKD is complex and includes mesangial cell (MC) proliferation and hypertrophy, mesangial expansion, glomerular basement membrane thickening, podocyte detachment, and tubulointerstitial damage. Thus, the role of MCs cannot be underestimated, as their exclusive positioning and diverse physiological functions are crucial for preserving the glomerular filtration membrane's composition and functionality.

Efficacy and safety of cAMP-biased GLP-1 receptor agonist ecnoglutide versus dulaglutide in patients with type 2 diabetes and elevated glucose concentrations on metformin monotherapy (EECOH-2): a 52-week, multicentre, open-label, non-inferiority, randomised, phase 3 trial.

Background: Ecnoglutide is a novel biased GLP-1 receptor agonist that preferentially activates the cAMP pathway over β-arrestin recruitment. We aimed to assess both non-inferiority and superiority of ecnoglutide versus dulaglutide, also a GLP-1 receptor agonist, in patients with type 2 diabetes.

Methods: We conducted a 52-week, open-label, active-controlled, phase 3 trial at 52 hospitals in China.

Cross-modal adaptive reconstruction of open education resources.

Matching vast online resources to individual learners' needs remains a major challenge, especially for adults with diverse backgrounds. To address this challenge, we proposed a Dynamic Knowledge Graph-enhanced Cross-Modal Recommendation model (DKG-CMR) to solve the problem. This model utilizes a dynamic knowledge graph-a structure organizing information and relationships-that continuously updates based on learner actions and course objectives.

Peroxisomal lipid metabolism inhibits Pimozide-induced cancer cell death by regulating ATP homeostasis.

Antipsychotic drugs have been shown to suppress tumor growth and induce cell death, but their clinical application remains limited. Pimozide, an FDA-approved antipsychotic, holds significant potential for cancer treatment. However, the mechanisms underlying tumor cell responses to Pimozide remain unclear.