Predictors for Achieving Textbook Outcomes After Endoscopic Resection of Giant Submucosal Tumors in the Esophagus and Cardia.

Background And Aims: Endoscopic resection for submucosal tumors (SMTs) in the esophagus and cardia is challenging with hazards of adverse events and the exploration of its achieving textbook outcome (TO) was unknown. We aim to investigate the predictors of TO for giant SMTs with a long diameter ≥ 7 cm or a transverse diameter ≥ 3.5 cm.

High-temperature stress impairs the intestinal functional homeostasis of Litopenaeus vannamei by altering mucosal integrity, immune signaling, and microbial community.

High-temperature (HT) is a critical influencing factor in shrimp aquaculture and serves as a key trigger for frequent disease outbreaks in shrimp. As a core organ for digestion, absorption and immune defense, the intestine's functional homeostasis is the key foundation for shrimp health. Therefore, in this study, the shrimp Litopenaeus vannamei were continuously exposed to HT stress at 33 °C for 7 days, after which the changes in intestinal functional homeostasis were investigated based on the mucosal integrity, immune signaling, and microbial community.

Aloperine ameliorates radiation enteritis by driving the TAS2R138-PLCβ/GAPDH axis-mediated glucose metabolic reprogramming to inhibit ferroptosis in intestinal epithelial cells.

Radiation enteritis (RE) is a common side effect of radiotherapy, with no specific therapeutic agents available. Sophora alopecuroides L. (KDZ) has been used in China for many years to treat gastrointestinal disorders, and matrine, oxymatrine, and aloperine (ALO) are its main alkaloid components.

5-HT regulates resistance to aumolertinib by attenuating ferroptosis in lung adenocarcinoma.

Resistance to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) remains a critical clinical challenge in EGFR mutant lung adenocarcinoma (LUAD). Therefore, it is urgent to explore personalized treatment strategies based on distinct resistance mechanisms to reverse EGFR-TKI resistance. Herein, we found that HER2 S310F mutation contributes to third-generation EGFR-TKI resistance, driven by the accumulation of neurotransmitter 5-hydroxytryptamine (5-HT).

Improved image quality and diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve with super-resolution deep learning reconstruction.

Background: Super-resolution deep learning reconstruction (SR-DLR) algorithm has emerged as a promising image reconstruction technique for improving the image quality of coronary computed tomography angiography (CCTA) and ensuring accurate CCTA-derived fractional flow reserve (CT-FFR) assessments even in problematic scenarios (e.g., the presence of heavily calcified plaque and stent implantation).

Heterogeneity-optimized method for predicting immune checkpoint blockade response.

Interpatient tumor heterogeneity manifests as multimodal distributions across genomic, transcriptomic, and microenvironmental profiles. This fundamentally violates the unimodal assumption of conventional machine learning models, impairing immune checkpoint blockade (ICB) response prediction. To resolve this limitation, we propose a heterogeneity-optimized framework that applies K-means clustering to stratify patients into biologically distinct hot-tumor and cold-tumor subgroups, demonstrating superiority over hierarchical/DBSCAN clustering.

Coordination-driven immobilization of his-tagged superoxide dismutase fusion protein on UIO-66-NH for enhanced photocatalytic hydrogen peroxide production.

Efficiently enhancing hydrogen peroxide (HO) production via photocatalysis remains challenging. This study employed genetic engineering to express His-tagged superoxide dismutase (His-SOD), which was selectively anchored onto the coordinatively unsaturated metal sites of etched UIO-66-NH₂ (UIO-66-NH) through coordination-driven assembly. The synergistic effect between His-SOD and UIO-66-NH significantly enhanced both the stability and substrate affinity of the enzyme, while simultaneously boosting the photocatalytic activity of the MOF.

CRISPR-SDA: an integrated isothermal amplification and CRISPR-Cas12a biosensing platform for sensitive detection of microRNA-21.

MicroRNA-21 (miRNA-21), a critical oncogenic biomarker, poses detection challenges due to low abundance and limitations of conventional methods. Herein, we developed a novel CRISPR-SDA biosensing platform by integrating strand displacement amplification (SDA) with CRISPR-Cas12a, leveraging SDA's efficient isothermal amplification of miRNA-21 and Cas12a's precise target recognition and -cleavage activity for signal amplification. Optimized conditions achieved high sensitivity with a detection limit of 10.

Activity-dependent phosphorylation of CDYL by CDK5 regulates fear memory in mice.

Fear memory is crucial for animals to effectively respond to dynamic environments and survive dangerous stimuli. However, aberrant fear memory contributes to various psychiatric disorders, such as post-traumatic stress disorder (PTSD). Despite its importance, the precise molecular mechanisms underlying fear memory remain insufficiently understood.

Virtual noncontrast images of adrenal lesions: a photon-counting CT prospective study.

Background: The value of virtual noncontrast (VNC) images from photon-counting computed tomography (PCCT) for evaluating adrenal lesions and diagnosing adrenal adenomas remains to be clarified.

Materials And Methods: Participants with adrenal masses who underwent unenhanced and portal venous phase PCCT were prospectively included. Portal-venous phase images were reconstructed using conventional VNC (VNC) and PureCalcium VNC (VNC).

Identification of novel hub genes and pathways predictive of fibrosis progression in cancer-related lymphedema through integrated multi-omics.

Background: Cancer-related lymphedema (CRL) is a common chronic complication following cancer treatment, characterized by impaired lymphatic drainage, interstitial fluid retention, and progressive fibrosis. Although the mechanisms of hypertrophic scar (HTS) fibrosis have been extensively investigated, the molecular drivers of fibrosis in CRL remain unclear. Identification of reliable biomarkers and novel therapeutic targets is essential for enabling early intervention.

Catalytic-Assembly of Nanoparticle Supercrystals by a pH-Controlled DNA Strand-Displacement Circuit.

DNA-directed "bonding" of nanoparticle "atoms" has led to highly ordered 3D superlattices of nanomaterial units with programmable crystalline orders. However, it remains a great challenge for the system to avoid being trapped in disordered metastable states toward long-range-ordered nanoparticle arrays. In this work, we present a pH-responsive, enthalpy-mediated strategy to address this dilemma by incorporating a CG-C triplex DNA structure into a strand-displacement circuit that programs the catalytic assembly of DNA-grafted gold nanoparticles.

Frequent Missed Opportunities for Earlier HIV Diagnosis in a Routine Opt-out Testing Environment in Atlanta.

Background: Routine, opt-out HIV testing strategies aim to diagnose HIV earlier and decrease ongoing transmission. We report missed opportunities (MO) and missed testing opportunities (MTO) for earlier HIV diagnosis in a safety-net healthcare system using routine opt-out testing.

Methods: This retrospective study analyzed adults diagnosed with HIV between 2015 and 2022 with eligible encounters 30-365 days before diagnosis.

Three-Dimensional Non-Stationary MIMO Channel Modeling for UAV-Based Terahertz Wireless Communication Systems.

Terahertz (THz) wireless communications can support ultra-high data rates and secure wireless links with miniaturized devices for unmanned aerial vehicle (UAV) communications. In this paper, a three-dimensional (3D) non-stationary geometry-based stochastic channel model (GSCM) is proposed for multiple-input multiple-output (MIMO) communication links between the UAVs in the THz band. The proposed channel model considers not only the 3D scattering and reflection scenarios (i.

Microfluidic Nanobiosensor Detection of Botulinum Neurotoxin Serotype A.

Botulinum neurotoxin (BoNT) poses a significant threat to public health as the most potent toxin known to humans. BoNT intoxication can lead to botulism, a life-threatening disease that may result from ingesting food contaminated with biologically active BoNT. The gold standard method for BoNT detection, the mouse bioassay, is time-consuming and raises ethical concerns regarding the use of laboratory animals.

A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI.

Introduction: Breast cancer is the leading cause of cancer-related death among women, with metastasis accounting for the majority of these deaths. Sentinel lymph node (SLN) status is crucial for staging and treatment planning. This study aims to develop a non-invasive preoperative model for predicting SLN metastasis using clinical data and preoperative MRI.

The Impact of Childhood Abuse on Anxiety and Depression in Chinese Adolescents: A Transdiagnostic Model.

Anxiety-depression comorbidity in adolescents has become an urgent public health problem, and childhood abuse has been proven to be associated with it. However, the mechanisms that drive this association are still relatively underexplored. This study investigated the cognitive and emotional mechanisms underlying this association, and whether these are moderated by teacher and peer support.

A Novel Lymphosome-Based Long-Lasting Rat Tail Model of Lymphedema.

Secondary extremity lymphedema is a chronic and progressive condition caused by obstructed lymphatic drainage, commonly following lymphadenectomy, infection, or trauma. Rodent models are preferred for experimental lymphedema research due to cost-effectiveness and reproducibility. Currently, rat tail models encounter limitations due to transient swelling and their inability to fully replicate the comprehensive pathophysiology of lymphedema, particularly concerning the effects of lymph node removal.

Flat-panel laser displays through large-scale photonic integrated circuits.

Laser-based displays are highly sought after for their superior brightness and colour performance, especially in advanced applications such as augmented reality (AR). However, their broader use has been hindered by bulky projector designs and complex optical module assemblies. Here we introduce a laser display architecture enabled by large-scale visible photonic integrated circuits (PICs) to address these challenges.

Study on preparation, physicochemical properties and digestion of casein sol/gel induced by citric acid and heat.

Casein (CS) gels, valued for their functional properties, are widely utilized in food applications. In this study, CS sol/gels were prepared by citric acid and heat (85 °C) induction at varying pH values and protein concentrations, and their physicochemical properties and digestion characteristics were further evaluated in order to explore the gel mechanism and the potential application in controlled release of roselle anthocyanins (RA). Stable CS gels formed only at pH 2.

Research Progress on the Conceptual Evolution, Theoretical Modelling and Measurement Tools of Electronic Health Literacy.

Objective: This study aimed to collect and analyse electronic health (eHealth) and eHealth literacy (eHL)-related research, expound the development of eHL evaluation tools at home and abroad, provide reference for the theoretical and applied research of eHL in China and promote the improvement of eHL in the Chinese population.

Methods: By collating relevant research articles, the concept evolution, theoretical models and development of eHL at home and abroad were analysed and summarized; furthermore, the content, measurement performance and application of eHL were explored.

Results: The concept of eHL has not yet been generally recognized.

Application of deep learning reconstruction at prone position chest scanning of early interstitial lung disease.

Aim: Timely intervention of interstitial lung disease (ILD) was promising for attenuating the lung function decline and improving clinical outcomes. The prone position HRCT is essential for early diagnosis of ILD, but limited by its high radiation exposure. This study was aimed to explore whether deep learning reconstruction (DLR) could keep the image quality and reduce the radiation dose compared with hybrid iterative reconstruction (HIR) in prone position scanning for patients of early-stage ILD.

Analytical greenness metrics for metabolomics.

Background: Metabolomics is rapidly evolving, addressing analytical chemistry challenges in the qualification and quantitation of metabolites in extremely complex samples. Targeted metabolomics involves the extraction and analysis of target compounds, often present at extremely low concentrations, whilst untargeted metabolomics requires the use of sophisticated analytical techniques to deal with the simultaneous identification or quantitation of hundreds of compounds. Given the high energy consumption and excessive amounts of waste generated by metabolomics studies, greenness metrics are essential to account for sustainable development.