Responsiveness of glycyrrhetinic acid modified liposome toward secretory phospholipase A and its growth inhibitory in Colo205 cells.

This study aimed to design a novel liposome containing GA modified phosphatidylcholine lipid (GA-PC Lip) and determine its susceptibility to tumor over-expressed secretory phospholipase A (sPLA) and its anti-cancer effect compared to conventional liposomes (Convention Lip). The liposomes were characterized for size, drug loading, encapsulation efficiency, and stability. A 6-CF release assay was conducted to assess the sensitivity of the liposomes to the tumor-overexpressed secretory phospholipase A (sPLA).

Medial orbitofrontal cortex structure, function, and cognition associates with weight loss for laparoscopic sleeve gastrectomy.

Objective: The objective of this study was to investigate underlying mechanisms of long-term effective weight loss after laparoscopic sleeve gastrectomy (LSG) and effects on the medial orbitofrontal cortex (mOFC) and cognition.

Methods: A total of 18 individuals with obesity (BMI ≥ 30 kg/m) underwent LSG. Clinical data, cognitive scores, and brain magnetic resonance imaging scans were evaluated before LSG and 12 months after LSG.

Trajectories of general and central obesity beyond middle age in relation to late-life cognitive decline and dementia.

Objective: The objective was to evaluate the longitudinal patterns of central and general obesity, identify their genetic and behavioral risk determinants, and investigate the association of distinct obesity trajectories beyond middle age with subsequent cognitive decline and the risk of developing dementia in late life.

Methods: Using a nationally representative, longitudinal, community-based cohort, we examined trajectory patterns of obesity over a 14-year span beyond middle age employing latent mixture modeling. We then evaluated their relationship with subsequent cognitive decline through linear mixed models and with the risk of developing dementia using Cox models, adjusting for confounding variables.

Gesture recognition from surface electromyography signals based on the SE-DenseNet network.

Objectives: In recent years, significant progress has been made in the research of gesture recognition using surface electromyography (sEMG) signals based on machine learning and deep learning techniques. The main motivation for sEMG gesture recognition research is to provide more natural, convenient, and personalized human-computer interaction, which makes research in this field have considerable application prospects in rehabilitation technology. However, the existing gesture recognition algorithms still need to be further improved in terms of global feature capture, model computational complexity, and generalizability.

Investigation of Pyrrole Analogues Inhibition on Mpro by Spectroscopic Analysis, Molecular Docking and Enzyme Activity.

The main protease (Mpro) is a cysteine enzyme and represents a vital target for antiviral drug screening. In this work, Twenty-five pyrrole derivatives were synthesized and screened by enzyme activity experiments. Results indicate that six pyrrole derivatives can bind to Mpro and have inhibitory effect on Mpro.

Engineering Oxygen Intermediates Adsorption on Amorphous NiFe Alloys for Highly Active and Selective Electrochemical Biomass Conversion.

Electrochemical 5-hydroxymethylfurfural (HMF) oxidation reaction (HMFOR) offers a promising route to transform biomass into value-added chemicals. However, the competing oxygen evolution reaction (OER) greatly limits the HMFOR selectivity. Herein, we report a facile doping strategy to engineer oxygen intermediates adsorption on amorphous NiFe alloys to boost highly selective electrochemical HMF oxidation to produce 2,5-furandicarboxylic acid (FDCA), among which, amorphous Mn-doped NiFeB alloy displays a low HMFOR onset potential of 1.

Generation of novel bpm6 and dmr6 mutants with broad-spectrum resistance using a modified CRISPR/Cas9 system in Brassica oleracea.

Using an optimized CRISPR/Cas9 system to knock out the BTB-POZ and MATH domain gene BoBPM6 and the DOWNY MILDEW RESISTANCE 6 gene in Brassica oleracea resulted in new lines with broad-spectrum disease resistance.

Density Functional Theory Study on Reconstruction and Reversible Transformation Processes of the ZZ57 Edge Structure in Carbon Materials: Effect of Na, K, and Ca.

The edge structures of carbonaceous materials exhibit temperature-dependent behavior on the atomic scale, with variations in the relative ratios of zigzag, reconstructed 5-7 zigzag (ZZ57), and armchair edges observed at different temperatures. Nevertheless, the mechanisms underlying the interconversion of these edge structures and the influence of the surrounding metals remain unclear. This study investigates the reconstruction and reversible transformation processes of ZZ57 edge structures in carbon materials and examines the effects of different metal atoms (Na, K, and Ca) by using density functional theory.

Di Huang Yi Zhi Fang improves cognitive function in APP/PS1 mice by inducing neuronal mitochondrial autophagy through the PINK1-parkin pathway.

Background: Alzheimer's disease (AD) is an irreversible age-related neurodegenerative condition characterized by the deposition of amyloid-β (Aβ) peptides and neurofibrillary tangles. Di Huang Yi Zhi (DHYZ) formula, a traditional Chinese herbal compound comprising several prescriptions, demonstrates properties that improve cognitive abilities in clinical. Nonetheless, its molecular mechanisms on treating AD through improving neuron cells mitochondria function have not been deeply investigated.

Preparation and Adsorption Properties of Sodium Trimetaphosphate Crosslinked Porous Corn Starch.

The crosslinked porous corn starch was prepared by two steps: the native corn starch was hydrolyzed by α-amylase and glucoamylase, then the porous corn was crosslinked by sodium trimetaphosphate (STMP). The morphology and size of granules, spherulites, crystal type, molecular structure, swelling properties, thermal stability and adsorption properties of the crosslinked porous starch were investigated. The results indicated that a lot of holes formed in the porous starch, and the particle size of starch granules decreased.

PET-Based Dual-Modal Probes for In Vivo Imaging.

Molecular imaging has significantly advanced the detection and analysis of in vivo metabolic processes, while single-modal techniques remain limited. Dual-modal imaging, particularly positron emission tomography (PET)-based combinations has emerged as a powerful solution, offering enhanced capabilities through integration with magnetic resonance imaging (MRI) or near-infrared fluorescence (NIRF) imaging. This review highlights recent progress in PET-based dual-modal imaging, focusing on the development of various bimodal probes derived from antibodies, nanoparticles, and peptides, and key applications including image-guided surgery and disease assessment.

The optimised model of predicting protein-metal ion ligand binding residues.

Metal ions are significant ligands that bind to proteins and play crucial roles in cell metabolism, material transport, and signal transduction. Predicting the protein-metal ion ligand binding residues (PMILBRs) accurately is a challenging task in theoretical calculations. In this study, the authors employed fused amino acids and their derived information as feature parameters to predict PMILBRs using three classical machine learning algorithms, yielding favourable prediction results.

GDFold2: A fast and parallelizable protein folding environment with freely defined objective functions.

An important step of mainstream protein structure prediction is to model the 3D protein structure based on the predicted 2D inter-residue geometric information. This folding step has been integrated into a unified neural network to allow end-to-end training in state-of-the-art methods like AlphaFold2, but is separately implemented using the Rosetta folding environment in some traditional methods like trRosetta. Despite the inferiority in prediction accuracy, the conventional approach allows for the sampling of various protein conformations compatible with the predicted geometric constraints, partially capturing the dynamic information.

Solvent-Free Artificial Light-Harvesting System in a Fluid Donor with Highly Efficient Förster Resonance Energy Transfer.

Multi-step Förster resonance energy transfer (FRET) plays a vital role in photosynthesis. While the energy transfer efficiency (Φ) of a naturally occurring system can reach 95%, that of most artificial light-harvesting systems (ALHSs) is still limited. Herein, we propose a strategy to construct highly efficient ALHSs using a blue-emitting, supercooled ionic compound of naphthalimide (NPI) as the donor, a green-emitting BODIPY derivate as a relay acceptor, and a commercially available, red-emitting dye [rhodamine B (RhB)] as the final acceptor.

Topological Supramolecular Complexation of Metal-Organic Polyhedra for Tunable Interconnected Hierarchical Microporosity in Amorphous Form.

The precise engineering of microporosity is challenging due to the interference at sub-nm scale from unexpected structural flexibility and molecular packing. Herein, the concept of topological supramolecular complexation is proposed for the feasible fabrication of hierarchical microporosity with broad tunability in amorphous form. The 2.

Sabatier Principle Inspired Bifunctional Alloy Interface for Stable and High-Depth Discharging Zinc Metal Anodes.

Achieving stable Zn anodes is essential for advancing high-performance Zn metal batteries. Here, we propose a Sabatier principle inspired bifunctional transition-metal (TM) interface to enable homogeneous Zn dissolution during discharging and dendrite-free Zn deposition during charging. Among various TM-coated Zn (TM@Zn) electrodes, Cu@Zn exhibits the highest reversibility and structural stability, attributed to the optimal interaction between Cu and Zn.

Dengue Virus Replicative-Form dsRNA Is Recognized by Both RIG-I and MDA5 to Activate Innate Immunity.

RIG-I like receptors (RLRs) are a family of cytosolic RNA sensors that sense RNA virus infection to activate innate immune response. It is generally believed that different RNA viruses are recognized by either RIG-I or MDA5, two important RLR members, depending on the nature of pathogen-associated molecular patterns (PAMPs) that are generated by RNA virus replication. Dengue virus (DENV) is an important RNA virus causing serious human diseases.

A Rare Case of Anomalous Pulmonary Venous Return.

This manuscript presents a rare case of a complex pulmonary venous malposition with an intact atrial septum and ventricular septum. The study demonstrates the diagnostic utility of echocardiography and computed tomography in the evaluation of complex congenital heart disease.

Nanoclay-Mediated Crystal-Phase Engineering in Biofunctions to Balance Antibacteriality and Cytotoxicity.

The crystalline phase of metal oxides is a key determinant of the properties and functions of the nanomaterials. Traditional approaches have focused on replicating bulk-phase structures, with limited exploration of phase diversity due to challenges in controlling the crystal morphology. Here, we introduce a nanoclay-mediated strategy for crystal-phase engineering, using talc to modulate the morphology and phase of manganese oxide (MnOx) nanoparticles.

The Impact of Intelligent Delivery Systems and Automated Rail Logistics on the Efficiency and Safety of Clinical Item Transportation: A Observational Studies.

This paper aims to establish an intelligent delivery system integrated with track logistics and explores its impact on the clinical transportation of goods. The study analyzed hospital delivery items before and after the implementation of an intelligent delivery system combined with automated track logistics in 2023. Delivery conditions prior to the system's activation served as the control group, while those post-implementation formed the observation group.