LINC00461 SNPs rs933647 and rs201864123 modify the risk of adenoid hypertrophy susceptibility for children in South China.

Background: Adenoidal hypertrophy (AH) is commonly observed in childhood and closely linked to obstructive sleep apnea (OSA). Despite the high prevalence of AH, its pathophysiological mechanisms remain incompletely understood. We attempt to explore this issue from a genetic perspective.

Study on landslide hazard risk in Wenzhou based on slope units and machine learning approaches.

Landslides are a prevalent and devastating form of geological disaster. These events occur when gravity causes rock and soil masses to slide along specific surfaces or zones, often triggered by intense rainfall, seismic activity, or human engineering activities. Assessing landslide hazard risk is crucial for effective disaster management, yet traditional approaches often rely on administrative or grid units, which lack the granularity needed for site-specific hazard management.

Integrated Headband for Monitoring Chloride Anions in Sweat Using Developed Flexible Patches.

Flexible wearable potentiometric ion sensors for continuous monitoring of electrolyte cations have made significant advances in bioanalysis for personal healthcare and diagnostics. However, less attention is paid to the most abundant extracellular anion, chloride ion (Cl) as a mark of electrolyte imbalance and an important diagnostic indicator of cystic fibrosis, which has important significance for accurate monitoring in complex biological fluids. An all-solid-state Cl-selective electrode is constructed utilizing oxygen vacancies reinforced vanadium oxide with a nitrogen-doped carbon shield as the solid contact (VO@NC/Cl-ISE).

Virus-derived siRNA: Coronavirus and influenza virus trigger antiviral RNAi immunity in birds.

RNA interference (RNAi) is a key antiviral immune mechanism in eukaryotes. However, antiviral RNAi in vertebrates has only been observed in cells with poor interferon systems or in viral suppressors of RNAi (VSR) deficiency virus infections. Our research discovered that infecting macrophages with wild-type coronavirus (Infectious bronchitis virus, IBV) and influenza viruses (Avian influenza virus, AIV) can trigger RNAi antiviral immunity and produce a certain amount of virus-derived siRNA (vsiRNA).

Portable solvent-assisted thermal desorption ionization mass spectrometry for highly sensitive detection of illicit drugs in hair.

Portable mass spectrometers have played an important role in the rapid field detection of drugs; however, interference from matrix components, such as salts, solvents, and other metabolites, often leads to high rates of false positives and false negatives, making it challenging to meet the requirements for rapid field detection. To mitigate these challenges, a solvent-assisted thermal desorption ionization source has been developed, which enables rapid screening, improved accuracy and quantitative MS analysis. This ionization source is designed to allow the introduction of sample solution into the thermal desorption chamber with coaxial solvent and gas flows.

A double-edged sword in antiviral defence: ATG7 binding dicer to promote virus replication.

RNA interference (RNAi) and autophagy are two pivotal biological processes that regulate virus replication. This study explored the complex relationship between autophagy and RNAi in controlling influenza virus replication. Initially, we reported that influenza virus (H9N2) infection increases the viral load and the expression of autophagy markers while inhibiting the RNAi pathway.

The Identification of FN1 as an Early Diagnostic Marker for Recurrent Abortion by Single-Exosome Profiling.

Purpose: Recurrent abortion(RA) is a prevalent adverse pregnancy event. Exosomes, secreted by various body fluids, are known to play a role in disease diagnosis and serve as biomarkers through intercellular communication. This study aims to analyze single exosomes in patients with recurrent abortion to identify new biomarkers that may significantly contribute to recurrent abortion, providing new directions for its treatment.

Assessment of landslide susceptibility in watersheds during extreme rainfall using a complex network of slope units.

Rainfall-induced landslides present significant challenges in regional landslide prediction and management. Traditional regional landslide susceptibility assessment models often evaluate individual units in isolation, neglecting the hydrological connections between slope units within a watershed. This approach fails to account for the occurrence of landslides in groups.

Sequential Proteomic and N-Glycoproteomic Analyses of Bronchoalveolar Lavage Fluids for Potential Biomarker Discovery of Lung Adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological subtype of nonsmall-cell lung cancer. Herein, a multiomics method, which combined proteomic and N-glycoproteomic analyses, was developed to analyze the normal and cancerous bronchoalveolar lavage fluids (BALFs) from six LUAD patients to identify potential biomarkers of LUAD. The data-independent acquisition proteomic analysis was first used to analyze BALFs, which identified 59 differentially expressed proteins (DEPs).

MXene-based solvent-responsive actuators with a polymer-intercalated gradient structure.

Actuators based on electrically conductive and hydrophilic two-dimensional (2D) TiCT MXene are of interest for fast and specific responses in demanding environments, such as chemical production. Herein, TiCT -based solvent-responsive bilayer actuators were developed, featuring a gradient polymer-intercalation structure in the active layer. These actuators were assembled using negatively charged pristine TiCT nanosheets as the passive layer and positively charged polymer-tethered TiCT as the active layer.

Multimodal multiphasic preoperative image-based deep-learning predicts HCC outcomes after curative surgery.

Background And Aims: HCC recurrence frequently occurs after curative surgery. Histological microvascular invasion (MVI) predicts recurrence but cannot provide preoperative prognostication, whereas clinical prediction scores have variable performances.

Approach And Results: Recurr-NET, a multimodal multiphasic residual-network random survival forest deep-learning model incorporating preoperative CT and clinical parameters, was developed to predict HCC recurrence.

Dietary folate intake and all-cause mortality and cardiovascular mortality in American adults with non-alcoholic fatty liver disease: Data from NHANES 2003 to 2018.

Background: The relationship between dietary folate intake and prior mortality in adult patients with Non-alcoholic Fatty Liver Disease (NAFLD) has not been clearly studied. We aimed to examine the relationship between dietary folate intake and all-cause and cardiovascular (CVD) mortality in adult NAFLD patients in the US.

Methods: Using data from National Health and Nutrition Examination Survey (NHANES) 2003-2018 and associated mortality data we conducted a cohort study of US adult NAFLD subjects.

An improved cancer diagnosis algorithm for protein mass spectrometry based on PCA and a one-dimensional neural network combining ResNet and SENet.

Cancer is one of the most serious health problems worldwide. Because cancer has no specific symptoms in its early stages, it is often not diagnosed until it is in advanced stages, reducing the likelihood of successful treatment. Therefore, early diagnosis of cancer is a formidable challenge.

Supramolecular Crystals based Fast Single Ion Conductor for Long-Cycling Solid Zinc Batteries.

The solid polymer electrolytes (SPEs) used in Zn-ion batteries (ZIBs) have low ionic conductivity due to the sluggish dynamics of polymer segments. Thus, only short-range movement of cations is supported, leading to low ionic conductivity and Zn transference (t ). Zn-based supramolecular crystals (ZMCs) have considerable potential for supporting long-distance Zn transport; however, their efficiency in ZIBs has not been explored.

Predicting the Recurrence of Ovarian Cancer Based on Machine Learning.

Background: Recurrence is the main factor for poor prognosis in ovarian cancer, but few prognostic biomarkers were reported. In this study, we used machine learning methods based on multiple biomarkers to develop a specific prediction model for the recurrence of ovarian cancer.

Methods: A total of 277 ovarian cancer patients were enrolled in this study and randomly classified into training and testing cohorts.

A Closed-Loop Nanosystem Based on Piezoelectric Sensor and Pd-Nanoshell Photothermal Ablation for Renal Denervation to Treat Hypertension.

Renal sympathetic nerves play a crucial role in the pathogenesis of hypertension, and renal denervation (RDN) is a new solution for patients with refractory hypertension. However, current RDN techniques show inconsistent results in clinical application probably owing to incomplete endovascular ablation of the sympathetic nerves and a lack of measures to localize and assess efficacy. In this study, a closed-loop RDN system consisting of a sensing unit with a piezoelectric thin-film sensor (PTFS) and a treatment unit with a hollow Pd nanoparticle shell (PdNPS) with a diameter of 202.

Thermodynamics and explainable machine learning assist in interpreting biodegradability of dissolved organic matter in sludge anaerobic digestion with thermal hydrolysis.

Dissolved organic matter (DOM) is essential in biological treatment, yet its specific roles remain incompletely understood. This study introduces a machine learning (ML) framework to interpret DOM biodegradability in the anaerobic digestion (AD) of sludge, incorporating a thermodynamic indicator (λ). Ensemble models such as Xgboost and LightGBM achieved high accuracy (training: 0.

Three-Component Reaction of Cyclopropanols, DABSO, and -(Sulfonyl)acrylamides: Preparation of Sulfone-Bridged 1,7-Dicarbonyl Compounds.

A cascade reaction of cyclopropyl alcohols, DABSO (1,4-diazoniabicyclo[2.2.2]octane-1,4-disulfinate), and -(sulfonyl)acrylamides has been developed.

Fluorine Domains Induced Ultrahigh Nitrogen Solubility in Ionic Liquids.

Fluorinated ionic liquids (ILs) are well-known as electrolytes in the nitrogen (N) electroreduction reaction due to their exceptional gas solubility. However, the influence of fluorinated functional group on N solvation and solubility enhancement remains unclear. Massive molecular dynamics simulations and free energy perturbation methods are conducted to investigate the N solubility in 11 traditional and 9 fluorinated ILs.

Pt nanoshells with a high NIR-II photothermal conversion efficiency mediates multimodal neuromodulation against ventricular arrhythmias.

Autonomic nervous system disorders play a pivotal role in the pathophysiology of cardiovascular diseases. Regulating it is essential for preventing and treating acute ventricular arrhythmias (VAs). Photothermal neuromodulation is a nonimplanted technique, but the response temperature ranges of transient receptor potential vanilloid 1 (TRPV1) and TWIK-related K Channel 1 (TREK1) exhibit differences while being closely aligned, and the acute nature of VAs require that it must be rapid and precise.

Dorsal raphe nucleus-hippocampus serotonergic circuit underlies the depressive and cognitive impairments in 5×FAD male mice.

Background: Depressive symptoms often occur in patients with Alzheimer's disease (AD) and exacerbate the pathogenesis of AD. However, the neural circuit mechanisms underlying the AD-associated depression remain unclear. The serotonergic system plays crucial roles in both AD and depression.

Simulation study of a new racetrack FAIMS analyzer to achieve both high-resolution and high-sensitivity.

A new racetrack field-asymmetric waveform ion mobility spectrometry (r-FAIMS) analyzer was developed in this study by combining the existing planar FAIMS (p-FAIMS) and cylindrical FAIMS (c-FAIMS). The ion inlet and outlet regions of r-FAIMS were consisted of a half of c-FAIMS, respectively, and these c-FAIMS were further connected by two p-FAIMS to form a racetrack shaped FAIMS. With such FAIMS working electrode configuration, the ions entering the r-FAIMS can be focused and separated in the first c-FAIMS section, be further separated in the p-FAIMS section with high-resolution, be focused and separated again in the final c-FAIMS section and eventually enter the mass spectrometer or other analyzers for analysis.