Development and Validation of a Nomogram for Predicting Hyperuricemia in Perimenopausal Women.

Objective: To develop and validate a nomogram model for predicting the risk of hyperuricemia (HUA) in perimenopausal women.

Methods: In this study, physical examination information of perimenopausal women was collected at the First Affiliated Hospital of University of Science and Technology of China. We utilized the Least Absolute Shrinkage and Selection Operator (Lasso) and binary logistic regression to investigate the risk factors of HUA among perimenopausal women.

Nanomaterials Application for STING Pathway-Based Tumor Immunotherapy.

The STING pathway has emerged as a therapeutic target in tumor immunotherapy due to its ability to induce interferon responses, enhance antigen presentation and activate T cells. Despite its therapeutic potential, STING pathway-based tumor immunotherapy has been limited by challenges in poor cellular delivery, rapid degradation of STING agonists, and potential systemic toxicity. Recently, advancements in nanotechnology have tried to overcome these limitations by providing platforms for more accurate and efficient targeted delivery of agonists, more moderate sustained STING pathway activation, and more efficient immune presentation and anti-tumor immune response.

MEDT insights into the mechanism and selectivity of the (3 + 2) cycloaddition of ()--methyl--(2-furyl)-nitrone with but-2-ynedioic acid and the bioactivity of the reaction products.

In this contribution, Molecular Electron Density Theory (MEDT) is employed to investigate the (3 + 2) cycloaddition reaction between ()--methyl--(2-furyl)-nitrone 1 and but-2-ynedioic acid 2. DFT calculations at the M06-2X-D3/6-311+G(d,p) level of theory under solvent-free conditions at room temperature show that this reaction proceeds CA3-Z diastereoselectivity, with the formation of the CA3-Z cycloadduct being both thermodynamically and kinetically more favoured than the CA4-Z one. Reactivity parameters obtained from CDFT calculations reveal that compound 1 predominantly behaves as a nucleophile with moderate electrophilic features, in contrast to compound 2, which demonstrates strong electrophilicity and limited nucleophilic ability.

A new paradigm for valorization of waste poly(glycolic acid): facile coupling with epoxides and synthesis of copolyesters with enhanced performance.

Poly(glycolic acid) (PGA) is one of the most widely used biodegradable polyesters, but its efficient valorization presents a long-standing challenge. Herein, we report the first facile PGA valorization strategy by utilizing epoxides to upcycle PGA into fused lactones under mild conditions (<100 °C), and subsequent copolymerization to produce copolyesters with wide potential tunability and enhanced performance. In the presence of epoxides and a chromium-based catalyst, PGA was efficiently transformed into fused lactones with a wide range of potential structural adjustability.

A barcode-specific immobilization interface for microfluidics-assisted uniform spatially barcoded microarray analysis.

Microfluidics-assisted spatially barcoded microarray technology offers a high-throughput, low-cost approach towards spatial transcriptomic profiling. A uniform barcoded microarray is crucial for spatially unbiased mRNA analysis. However, non-specific adsorption of barcoding reagents in microchannels occurs during liquid transport, causing non-uniform barcoding in the chip's functional regions.

Continuous Flow Photocatalysis Boosting C─N Coupling for Sustainable High-Efficiency Formamide Synthesis.

The construction of C─N bonds from simple precursors under ambient conditions is a fundamental challenge in green chemistry, especially when it comes to avoiding energy-intensive protocols. Here, we present a continuous flow photocatalytic platform that enables the efficient coupling of C─N bonds between methanol and ammonia at ambient temperature and pressure. By synergistically engineering a Pd clusters-decorated TiO photocatalyst (1Pd/TiO) and a mass transfer-enhanced gas-liquid-solid Taylor flow reactor, the system achieves a remarkable formamide productivity of 256.

Daucosterol ameliorates acute inflammation and fibrosis following myocardial infarction via regulation of the ZBTB16 protein.

Background And Purpose: Myocardial infarction (MI) is accompanied by acute release of numerous inflammatory factors, leading to fibrosis and ultimately cardiac dysfunction. Daucosterol (DAU), a natural sterol compound, has been demonstrated to have anti-inflammatory properties and the ability to mitigate liver fibrosis. This study aims to investigate the therapeutic potential of DAU in MI and explores the underlying mechanisms.

A Flexible, Wear-Resistant, Ultrablack Coating Modified by an Antireflective Layer Prepared with a Dry-Wet Hybrid Deposition Methodology.

The development of ultrablack coatings with exceptional absorption (>98%) has historically faced significant scientific and engineering challenges, primarily due to limitations in material selection, structural design, and practical durability. Considering the difficulties in practical applications of ultrablack materials with micro/nano structures and the limitations of planar ultrablack coatings in optical performance, we introduce an innovative integration of conventional planar ultrablack coatings with a specifically engineered trilayer antireflection architecture. This hybrid system incorporates a refractive index distribution (1.

Position-correlated biphoton wavefront sensing for quantum adaptive imaging.

Quantum imaging with spatially entangled photons offers advantages such as enhanced spatial resolution, robustness against noise, and counterintuitive phenomena, while a biphoton spatial aberration generally degrades its performance. Biphoton aberration correction has been achieved by using classical beams to detect the aberration source or scanning the correction phase on biphotons if the source is unreachable. Here, a new method named position-correlated biphoton Shack-Hartmann wavefront sensing is introduced, where the phase pattern added on photon pairs with a strong position correlation is reconstructed from their position centroid distribution at the back focal plane of a microlens array.

Fast-hyperspectral imaging remote sensing: Emission quantification of NO and SO from marine vessels.

Marine vessels play a vital role in the global economy; however, their negative impact on the marine atmospheric environment is a growing concern. Quantifying marine vessel emissions is an essential prerequisite for controlling these emissions and improving the marine atmospheric environment. Optical imaging remote sensing is a vital technique for quantifying marine vessel emissions.

Enhancing CO Adsorption Capacity through FeO/CaO Ratio Engineering in Simulated Fly Ash-Derived Zeolite Synthesis through Gradient Oxide Modulation.

Zeolite synthesis from fly ash offers recycling and environmental benefits for carbon dioxide capture, but varying fly ash composition from different sources has different compositions, leading to inconsistent adsorption results. To achieve high CO adsorption performance and stability in zeolite synthesis from fly ash systems, this study established an element-controlled simulated fly ash system with Ca/Fe gradient differences. Hydrothermal synthesis yielded zeolites with optimized oxide ratios for CO adsorption.

Single-cell and spatial transcriptomics identify dihydrolipoic acid succinyltransferase as a promoter of tumor invasion via vascular pathways in cutaneous melanoma.

Melanoma is the most aggressive and lethal form of skin cancer, posing significant challenges for prognosis assessment and treatment. Recently, metabolic reprogramming and epigenetic regulation have gained attention for their roles in cancer progression. The role of the key metabolic enzyme dihydrolipoic acid succinyltransferase (DLST) in cancer is currently unclear.

Dual-synergistic molybdenum disulfide and molybdenum carbide cocatalyst integrated with graphitic carbon nitride for efficient photocatalytic hydrogen production.

Heterojunctions have garnered significant attention in the field of photocatalysis due to their exceptional ability to facilitate the separation of photogenerated charge carriers and their high efficiency in hydrogen reaction. However, their overall photocatalytic performance is often constrained by electron transport rates and suboptimal hydrogen adsorption/desorption kinetics. To address these challenges, this study develops a g-CN/MoS@MoC dual-effect synergistic solid-state Z-type heterojunction, synthesized through the in-situ sulfurization of MoC combined with ultrasonic self-assembly technique.

Transient mixed-valent Ni active sites boost urea electrooxidation.

The utilization of synergistic multivalent active sites holds potential in addressing the inherent sluggish kinetics of electrocatalytic reactions. Herein, we prepared au uNPs/Ni-NDC (NDC = 1,4-Naphthalenedicarboxylic acid) and leveraged the localized surface plasmon resonance (LSPR) effect to drive hot electron transfer from au nanoparticles to the Ni substrate, thereby generating multivalent active sites to boost the urea oxidation reaction (UOR). Under exciting light, au uNPs/Ni-NDC exhibited a twofold increase in UOR current accompanied by a significant negative shift in onset potential.

High-throughput screening identifies a dual-activity inhibitor of OXCT1 for hepatocellular carcinoma therapy.

3-Oxoacid CoA-transferase 1 (OXCT1) plays a crucial role in hepatocellular carcinoma (HCC) progression through its ketolytic and succinyltransferase activities. Despite its potential as a therapeutic target, no small molecules have been developed to inhibit the dual enzymatic activities of OXCT1 specifically. In this study, our structural analysis revealed that the active sites for both enzymatic functions of OXCT1 are located in the same pocket.

Tumor-associated neutrophils promote breast cancer progression via RLN2/RXFP1-C6orf99-STAT3 axis.

Tumor-associated neutrophils (TANs) play a critical role in breast cancer progression. This study demonstrated that high CD66b TANs infiltration correlated with poor disease-free survival (DFS) and promoted proliferation, migration, and invasion of breast cancer cells in vitro. Conversely, the immune-related long non-coding RNA C6orf99 was downregulated in breast cancer and associated with favorable DFS.

Directed message passing neural networks enhanced graph convolutional learning for accurate polymer density prediction.

Polymer density is a critical factor influencing material performance and industrial applications, and it can be tailored by modifying the chemical structure of repeating units. Traditional polymer density characterization methods rely heavily on domain expertise; however, the vast chemical space comprising over one million potential polymer structures makes conventional experimental screening inefficient and costly. In this study, we proposed a machine learning framework for polymer density prediction, rigorously evaluating four models: neural networks (NNs), random forest (RF), XGBoost, and graph convolutional neural networks (GCNNs).

Structure of Organoboron Dyes and Multiphoton Absorption: Insights from Theory.

Computer simulations play an essential role in the interpretation of experimental multiphoton absorption spectra. In addition, models derived from theory allow for the establishment of "structure-property" relationships. This work contributes to these efforts and presents the results of an analysis of two- and three-photon absorptions for a set comprising 450 conjugated molecules performed at the CAM-B3LYP/aug-cc-pVDZ level.

A Universal Strategy for BBB Transport Mediated by an Inflammatory Receptor Antagonist for Neuroprotection in Ischemic Stroke.

Delivering therapeutics across the blood-brain barrier (BBB) remains a major challenge in ischemic stroke therapy. Ischemic stroke induces upregulation of various inflammatory membrane receptors on brain endothelial cells, offering potential entry points for receptor-mediated transcytosis. This study proposes a universal targeting strategy by employing inflammatory pathway antagonists as targeting ligands, which broadens the spectrum of available ligands beyond traditional receptor-binding molecules.

Establishment and validation of a nomogram for predicting acute exacerbation of chronic obstructive pulmonary disease based on the C-reactive protein-triglyceride-glucose index.

The C-reactive protein-triglyceride-glucose index (CTI) is becoming a new indicator for the comprehensive evaluation of inflammation and insulin resistance severity. This study aimed to analyze the correlation between CTI and the risk of acute exacerbation in chronic obstructive pulmonary disease (COPD), as well as its influencing factors, and construct and validate a risk prediction nomogram. We selected 447 COPD patients who visited the First People's Hospital of Mengcheng County from January 2020 to May 2024, among whom 266 were acute exacerbation patients.

Green Synthetic Amide-Modified Hyper-Cross-Linked Adsorption Resin for Efficiently Separating Chlorogenic Acid From Eucommia ulmoides Extracts.

Eucommia ulmoides Oliver leaf is rich in chlorogenic acid, which has antioxidant, antiviral, and anti-inflammatory activities. In this work, a new and green strategy for functional hyper-crosslinked adsorption resin based on Friedel-Crafts reaction of pendant vinyl groups in divinylbenzene with anhydrous ethanol and acrylamide grafting polymerization was developed, and the obtained HCREt-AM resin had excellent performance on chlorogenic acid separation from Eucommia ulmoides Oliver leaf extract. Adsorption isotherm and kinetics study showed the adsorption process fitted by Langmuir adsorption isotherm and pseudo-second-order kinetic equation.

Biphenylite with an Ultrahigh Capacity of Hexafluorophosphate Anions as a Promising Electrode Material in Dual-Ion Batteries.

Dual-ion batteries (such as alkali metal ion-hexafluorophosphate anion systems) have demonstrated an excellent performance; however, identifying suitable cathode materials with superior electrochemical properties remains a major challenge impeding their advancement. In this work, the feasibility of biphenylite as a dual-ion battery cathode material is investigated systematically by first-principles calculations. The calculated result indicates that biphenylite has an ultrahigh cathode specific capacity for PF anions (107.

Artificial intelligence in wearable biosensing: Enhancing data analysis and decision-making.

The convergence of artificial intelligence (AI) and wearable biosensors is revolutionizing personalized healthcare, enabling continuous monitoring, early detection of health issues, which enhances the efficiency of data processing and real-time decision-making. Multimodal Large Language Models (MLLMs) play a pivotal role in this ecosystem by offering advanced capabilities in analyzing complex health data, understanding nuanced health contexts, and generating tailored health recommendations instantaneously. This study provides insights into how machine learning, deep learning algorithms, and MLLM can work together to facilitate the analysis of physiologic data for real-time monitoring and early warning systems as well as complex decision support mechanisms.

Tunable Superlinear Gallium Oxide Gate-All-Around Deep-Ultraviolet Phototransistor for Near-Field Imaging.

Superlinear photodetectors hold significant potential in intelligent optical detection systems, such as near-field imaging. However, their current realization imposes stringent requirements on photosensitive materials, thereby limiting the flexibility of the device integration for practical applications. Herein, a tunable superlinear GaO deep-ultraviolet gate-all-around (GAA) phototransistor based on a p-n heterojunction has been proposed.