Sintering Ag Nanoclusters on TiO Nanoparticles as an Efficient Catalyst for Nitroarene Reduction.

Polydispersed Ag species-modified TiO samples with abundant oxygen vacancies were successfully prepared through the calcination of atomically precise Ag nanocluster-loaded TiO at an optimal temperature under a nitrogen atmosphere. The ligands of the Ag nanoclusters are removed by extracting lattice oxygen from TiO during the calcination, leading to the formation of CO, SO, and HO vapor. This process simultaneously induces Ag species sintering on the surface of TiO.

Improved split prime editors enable efficient in vivo genome editing.

Efficient prime editor (PE) delivery in vivo is critical for realizing its full potential in disease modeling and therapeutic correction. Although PE has been divided into two halves and delivered using dual adeno-associated viruses (AAVs), the editing efficiency at different gene loci varies among split sites. Furthermore, efficient split sites within Cas9 nickase (Cas9n) are limited.

Simulating water and salt changes in the root zone of salt-alkali fragrant pear and the selection of the optimal surface drip irrigation mode.

Faced with the increasingly serious problem of water scarcity, developing precise irrigation strategies for crops in saline alkali land can effectively reduce the negative effects of low water resource utilization. Using a model to simulate the dynamic changes in soil water and salt environment in the root zone of fragrant pear trees in saline alkali land, and verifying them from a production practice perspective with comprehensive benefits as the goal, can optimize the irrigation amount and irrigation technology elements of saline alkali fruit trees, broaden the comprehensive evaluation perspective of decision-makers, and have important significance for improving the yield and production efficiency of forestry and fruit industry in arid and semi-arid areas worldwide. In this study, a two-year field experiment based on three irrigation levels (3000, 3750, and 4500 m·ha) and four emitter discharge rates (1, 2, 3, and 4 L·h) was conducted in Xinjiang, China.

Advances in biopharmaceutical products for hemophilia.

Hemophilia is caused by the deficiency of clotting factors due to a single genetic abnormality. Replacement therapies have evolved from plasma-derived to recombinant coagulation factor concentrates but continue to have certain limitations. Monoclonal antibodies are clinical prophylactic treatment options unaffected by inhibitors and have better compliance than coagulation factor concentrates for patients with hemophilia.

Model-informed precision dosing of quetiapine in bipolar affective disorder patients: initial dose recommendation.

Objective: Bipolar affective disorder (BAD) is a mood disorder with high morbidity and mortality. Quetiapine can be used in the treatment of patients with BAD; however, the precise administration regimen of quetiapine in these patients is still unknown. In this study, a population pharmacokinetic (PPK) model of quetiapine in patients with BAD was constructed based on model-informed precision dosing (MIPD) and real-world clinical data and an optimal initial dose of quetiapine in these patients was recommended.

microRNA and Hypertension.

Several microRNAs (miRNAs) strongly influence blood pressure and the development of hypertension by modulating vascular, renal, and other physiological mechanisms. In addition, miRNAs may contribute to the genetic regulation of blood pressure. Future research should focus on investigating select miRNAs with potent physiological effects, understanding cellular context-dependent mechanisms conferring specificity to miRNA action, and integrating miRNAs as powerful modulators into the molecular system that underlies the regulation of blood pressure and the development of hypertension.

Extract of (L.) Gaertn Leaves as a Novel Green Corrosion Inhibitor for Carbon Steel in Acidic Solution.

In this work, leaves of (L.) Gaertn were extracted by a one-step extraction method using ethanol as a solvent, and the (L.) Gaertn extract (SMGE) was firstly employed as a green corrosion inhibitor for carbon steel in 0.

Growth of sulfur-doped bismuth oxybromide nanosheets on carbon fiber cloth for photocatalytically purifying antibiotic wastewater.

Bismuth oxybromide (BiOBr) nanomaterials are well-known efficient powder-shaped photocatalyst for degrading antibiotic wastewater, but their practical applications have been limited by unsatisfactory photo-absorption, weak photocatalytic activity and poor recyclability. To address these issues, we demonstrate that the growing of S-doped BiOBr nanosheets on carbon fiber cloth (CFC) can lead to efficient photocatalysis with recyclable features. With carbon fiber cloth as the substrate, S-doped BiOBr (BiOBr-S) nanosheets (diameter: ∼500 nm, thicknesses: ∼5-90 nm) was prepared by solvothermal method with thiourea as dopant.

Belzutifan versus Everolimus for Advanced Renal-Cell Carcinoma.

Background: Belzutifan, a hypoxia-inducible factor 2α inhibitor, showed clinical activity in clear-cell renal-cell carcinoma in early-phase studies.

Methods: In a phase 3, multicenter, open-label, active-controlled trial, we enrolled participants with advanced clear-cell renal-cell carcinoma who had previously received immune checkpoint and antiangiogenic therapies and randomly assigned them, in a 1:1 ratio, to receive 120 mg of belzutifan or 10 mg of everolimus orally once daily until disease progression or unacceptable toxic effects occurred. The dual primary end points were progression-free survival and overall survival.

Effect of Colchicine on Coronary Plaque Stability in Acute Coronary Syndrome as Assessed by Optical Coherence Tomography: The COLOCT Randomized Clinical Trial.

Background: Colchicine has been approved to reduce cardiovascular risk in patients with coronary heart disease on the basis of its potential benefits demonstrated in the COLCOT (Colchicine Cardiovascular Outcomes Trial) and LoDoCo2 (Low-Dose Colchicine 2) studies. Nevertheless, there are limited data available about the specific impact of colchicine on coronary plaques.

Methods: This was a prospective, single-center, randomized, double-blind clinical trial.

Development of a UHPLC-MS/MS method for the quantification of Pristinamycin ⅠA and ⅡA in beagle dog plasma and its pharmacokinetic application.

The aim of this study was to develop and fully validate a sensitive and rapid ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method for simultaneous quantification of pristinamycin ⅠA (PⅠA) and pristinamycin ⅡA (PⅡA) in plasma of beagle dogs after oral administration of pristinamycin tablets. PⅠA, PⅡA and quinupristin (internal standard, IS) were separated on an Agilent Eclipse Plus C column (2.1 mm × 100 mm, 3.

Deep learning-based quantitative morphological study of anteroposterior digital radiographs of the lumbar spine.

Background: Morphological parameters of the lumbar spine are valuable in assessing lumbar spine diseases. However, manual measurement of lumbar morphological parameters is time-consuming. Deep learning has automatic quantitative and qualitative analysis capabilities.

Automatic measurement of anatomical parameters of the lumbar vertebral body and the intervertebral disc on radiographs by deep learning.

Background: Lumbar spine disorders are one of the common causes of low back pain (LBP). Objective and reliable measurement of anatomical parameters of the lumbar spine is essential in the clinical diagnosis and evaluation of lumbar disorders. However, manual measurements are time-consuming and laborious, with poor consistency and repeatability.

Artificial Intelligence and Machine Learning in Cancer Pain: A Systematic Review.

Background/objectives: Pain is a challenging multifaceted symptom reported by most cancer patients. This systematic review aims to explore applications of artificial intelligence/machine learning (AI/ML) in predicting pain-related outcomes and pain management in cancer.

Methods: A comprehensive search of Ovid MEDLINE, EMBASE and Web of Science databases was conducted using terms: "Cancer," "Pain," "Pain Management," "Analgesics," "Artificial Intelligence," "Machine Learning," and "Neural Networks" published up to September 7, 2023.

Association Between Different Inflammatory Markers and Generalized Abdominal Obesity: A Cross-Sectional Study.

Purpose: Inflammation is strongly correlated with obesity. However, very few studies have reported associations between novel inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), C-reactive protein (CRP), and C-reactive protein-to-albumin ratio (CAR), and different obesity types. Therefore, this study aimed to explore the associations of these inflammatory markers with generalized and abdominal obesity.

Predicting continuous amyloid PET values with CSF tau phosphorylation occupancies.

Introduction: Cerebrospinal fluid (CSF) tau phosphorylation at multiple sites is associated with cortical amyloid and other pathologic changes in Alzheimer's disease. These relationships can be non-linear. We used an artificial neural network to assess the ability of 10 different CSF tau phosphorylation sites to predict continuous amyloid positron emission tomography (PET) values.

Comparison of dual-energy computed tomography (DECT) polychromatic and monochromatic images with and without iterative metal artifact reduction algorithm in patients with dental implants.

Background: Dual-energy computed tomography (DECT) and iterative metal artifact reduction (iMAR) algorithms are valuable tools for reducing metal artifacts. Different parameters of these technologies and their combination can achieve different performance. This study compared various polychromatic and monochromatic images obtained via DECT with and without using iMAR algorithm to reduce artifacts in patients with dental implants.

Voxelated bioprinting of modular double-network bio-ink droplets.

Analogous of pixels to two-dimensional pictures, voxels-in the form of either small cubes or spheres-are the basic building blocks of three-dimensional objects. However, precise manipulation of viscoelastic bio-ink voxels in three-dimensional space represents a grand challenge in both soft matter science and biomanufacturing. Here, we present a voxelated bioprinting technology that enables the digital assembly of interpenetrating double-network hydrogel droplets made of polyacrylamide/alginate-based or hyaluronic acid/alginate-based polymers.

Location of Phosphorylation Sites within Long Polypeptide Chains by Binder-Assisted Nanopore Detection.

The detection and mapping of protein phosphorylation sites are essential for understanding the mechanisms of various cellular processes and for identifying targets for drug development. The study of biopolymers at the single-molecule level has been revolutionized by nanopore technology. In this study, we detect protein phosphorylation within long polypeptides (>700 amino acids), after the attachment of binders that interact with phosphate monoesters; electro-osmosis is used to drive the tagged chains through engineered protein nanopores.