Establishing a General Atomistic Model for the Stratum Corneum Lipid Matrix Based on Experimental Data for Skin Permeation Studies.

Understanding the permeation of drugs through the intercellular lipid matrix of the stratum corneum layer of skin is crucial for effective transdermal delivery. Molecular dynamics simulations can provide molecular insights into the permeation process. In this study, we developed a new atomistic model representing the multilamellar arrangement of lipids in the stratum corneum intercellular space for permeation studies.

The Impact of Targeted Therapies on Red Blood Cell Aggregation in Patients with Chronic Lymphocytic Leukemia Evaluated Using Software Image Flow Analysis.

Chronic lymphocytic leukemia (CLL), the most common type of leukemia, remains incurable with conventional therapy. Despite advances in therapies targeting Bruton's tyrosine kinase and anti-apoptotic protein BCL-2, little is known about their effect on red blood cell (RBC) aggregation in blood flow. In this study, we applied a microfluidic device and a newly developed Software Image Flow Analysis to assess the extent of RBC aggregation in CLL patients and to elucidate the hemorheological effects of the commonly applied therapeutics Obinutuzumab/Venetoclax and Ibrutinib.

Restoration of Genetic Code in Macular Mouse Fibroblasts via APOBEC1-Mediated RNA Editing.

RNA editing is a significant mechanism underlying genetic variation and protein molecule alteration; C-to-U RNA editing, specifically, is important in the regulation of mammalian genetic diversity. The ability to define and limit accesses of enzymatic machinery to avoid the modification of unintended targets is key to the success of RNA editing. Identification of the core component of the apoB RNA editing holoenzyme, APOBEC, and investigation into new candidate genes encoding other elements of the complex could reveal further details regarding APOBEC-mediated mRNA editing.

Decellularized Liver Matrices for Expanding the Donor Pool-An Evaluation of Existing Protocols and Future Trends.

Liver transplantation is the only curative option for end-stage liver disease and is necessary for an increasing number of patients with advanced primary or secondary liver cancer. Many patient groups can benefit from this treatment, however the shortage of liver grafts remains an unsolved problem. Liver bioengineering offers a promising method for expanding the donor pool through the production of acellular scaffolds that can be seeded with recipient cells.

: Precise Proteomics Technology for Mapping Receptor Protein Neighborhoods at the Cancer Cell Surface.

Cell surface receptors are pivotal to cancer cell transformation, disease progression, metastasis, early detection, targeted therapy, drug responses, and clinical outcomes. Since they coordinate complex signaling communication networks in the tumor microenvironment, mapping the physical interaction partners of cell surface receptors in vivo is vital for understanding their roles, functional states, and suitability as therapeutic targets. Yet traditional methods like immunoprecipitation and affinity purification-mass spectrometry often fail to detect key but weak or transient receptor-protein interactions.

Fingolimod and risk of skin cancer among individuals with multiple sclerosis: a population-based cohort study protocol.

Introduction: Long-term population-based safety studies, applying advanced causal inference techniques, including an active comparator with new-user design, are needed to investigate skin cancer outcomes among individuals with multiple sclerosis (MS) treated with fingolimod. This study aims to describe a protocol for investigating the relationship between fingolimod use and the incidence of skin cancer among individuals with MS.

Methods And Analysis: We will use population-based administrative health data from two Canadian provinces (British Columbia and Alberta) to conduct an observational cohort 'trial emulation' study with an active comparator and new-user design.

Wet adhesives for hard tissues.

The development of wet adhesives capable of bonding in aqueous environments, particularly for hard tissues such as bone, tooth, and cartilage, remains a significant challenge in material chemistry and biomedical research. Currently available hard tissue adhesives in clinical practice lack well-defined wet adhesion properties. Nature offers valuable inspiration through the adhesive mechanisms of marine organisms, advancing the design of bioinspired wet adhesives.

Breaking barriers in targeted Therapy: Advancing exosome Isolation, Engineering, and imaging.

Exosomes have emerged as promising tools for targeted drug delivery in biomedical applications and medicine. This review delves into the scientific advancements, challenges, and future prospects specifically associated with these technologies. In this work, we trace the research milestones that led to the discovery and characterization of exosomes and extracellular vesicles, and discuss strategies for optimizing the synthetic yield and the loading of these particles with various therapeutics.

Hypoxia-Targeted-Therapy: Mussel-inspired hollow polydopamine nanocarrier containing MoS nanozyme and tirapazamine with anti-angiogenesis property for synergistic tumor therapy.

Photothermal therapy (PTT) using thermal and tumor microenvironment-responsive reagents is promising for cancer treatment. This study demonstrates an effective PTT nanodrug consisting of hollow-structured, thermally sensitive polydopamine nanobowls (HPDA NB), molybdenum sulfide (MoS) nanozyme, and tirapazamine (TPZ; a hypoxia-responsive drug), with a structure of HPDA@TPZ/MoS NBs which is hereafter denoted as HPTZMoS NBs. With the Fenton-like activity, the HPTZMoS NBs in the presence of HO catalyze the formation of hydroxyl radicals, providing chemodynamic therapy (CDT) effect and deactivating glutathione.

BabyFM: Towards accurate 3D baby facial models using spectral decomposition and asymmetry swapping.

In this paper, we present the first publicly available 3D statistical facial shape model of babies, the Baby Face Model (BabyFM). Constructing a model of the facial geometry of babies entails specific challenges, such as occlusions, extreme and uncontrollable expressions, and data shortage. We address these challenges by proposing (1) a non-template dependent method that jointly estimates a 3D facial baby-specific template and the point-to-point correspondences; (2) a novel method to establish correspondences based on the spectral decomposition of the Laplace Beltrami Operator, which provides a more robust theoretical foundation than state-of-the-art methods; and (3) an asymmetry-swapping strategy to alleviate the shortage of large scale datasets by decoupling the identity-related and the asymmetry-related shape deformation fields.

Mature chromatin packing domains persist after RAD21 depletion in 3D.

Understanding chromatin organization requires integrating measurements of genome connectivity and physical structure. It is well established that cohesin is essential for TAD and loop connectivity features in Hi-C, but the corresponding change in physical structure has not been studied using electron microscopy. Pairing chromatin scanning transmission electron tomography with multiomic analysis and single-molecule localization microscopy, we study the role of cohesin in regulating the conformationally defined chromatin nanoscopic packing domains.

Bioprinted optoelectronically active cardiac tissues.

Electrical stimulation of existing three-dimensional bioprinted tissues to alter tissue activities is typically associated with wired delivery, invasive electrode placement, and potential cell damage, minimizing its efficacy in cardiac modulation. Here, we report an optoelectronically active scaffold based on printed gelatin methacryloyl embedded with micro-solar cells, seeded with cardiomyocytes to form light-stimulable tissues. This enables untethered, noninvasive, and damage-free optoelectronic stimulation-induced modulation of cardiac beating behaviors without needing wires or genetic modifications to the tissue solely with light.

Automating alloy design and discovery with physics-aware multimodal multiagent AI.

The design of new alloys is a multiscale problem that requires a holistic approach that involves retrieving relevant knowledge, applying advanced computational methods, conducting experimental validations, and analyzing the results, a process that is typically slow and reserved for human experts. Machine learning can help accelerate this process, for instance, through the use of deep surrogate models that connect structural and chemical features to material properties, or vice versa. However, existing data-driven models often target specific material objectives, offering limited flexibility to integrate out-of-domain knowledge and cannot adapt to new, unforeseen challenges.

Artificial Intelligence for Optical Coherence Tomography in Glaucoma.

Purpose: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of various DL models in enhancing OCT capabilities and addresses the challenges associated with their clinical implementation.

Methods: A review of articles utilizing DL models was conducted, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), autoencoders, and large language models (LLMs).

International Validation of a Novel PEACE Scale to Improve the Quality of Upper Gastrointestinal Mucosal Inspection During Endoscopy.

Introduction: The performance of a high quality esophagogastroduodenoscopy (EGD) is dependent on the mucosal cleanliness. Recently, the Polprep: Effective Assessment of Cleanliness in EGD (PEACE) scale was created to assess the degree of mucosal cleanliness during EGD. The aim of this study was to validate this scoring system in a cohort of international endoscopists.

Scanner-based real-time three-dimensional brain + body slice-to-volume reconstruction for T2-weighted 0.55-T low-field fetal magnetic resonance imaging.

Background: Motion correction methods based on slice-to-volume registration (SVR) for fetal magnetic resonance imaging (MRI) allow reconstruction of three-dimensional (3-D) isotropic images of the fetal brain and body. However, all existing SVR methods are confined to research settings, which limits clinical integration. Furthermore, there have been no reported SVR solutions for low-field 0.

A Comprehensive Review of Niobium Nanoparticles: Synthesis, Characterization, Applications in Health Sciences, and Future Challenges.

Niobium nanoparticles (NbNPs) have gained attention as promising materials in biomedical applications due to their exceptional biocompatibility, corrosion resistance, and versatility. These nanoparticles offer potential in drug delivery, imaging, and tissue engineering, where their nanoscale properties allow precise interactions with biological systems. Among niobium-based nanomaterials, niobium pentoxide (NbO) is the most extensively studied due to its chemical stability, bioactivity, and optical properties.

Comparative Sensitivity of MRI Indices for Myelin Assessment in Spinal Cord Regions.

Although multiple magnetic resonance imaging (MRI) indices are known to be sensitive to the noninvasive assessment of myelin integrity, their relative sensitivities have not been directly compared. This study aimed to identify the most sensitive MRI index for characterizing myelin composition in the spinal cord's gray matter (GM) and white matter (WM). MRI was performed on a deer's ex vivo cervical spinal cord.

Electrodepositing Ag on Anodized Stainless Steel for Enhanced Antibacterial Properties and Corrosion Resistance.

Antibacterial stainless steels have been widely used in biomedicine, food, and water treatment. However, the current antibacterial stainless steels face challenges in balancing corrosion resistance and antibacterial effectiveness, limiting their application range and lifespan. In this study, an oxide layer sealed with antibacterial Ag particles was constructed on the surface of 304 stainless steel through anodizing and electrodeposition, and the process parameters were optimized for achieving long-term antibacterial properties.

The Representational Challenge of Integration and Interoperability in Transformed Health Ecosystems.

: Health and social care systems around the globe are currently undergoing a transformation towards personalized, preventive, predictive, participative precision medicine (5PM), considering the individual health status, conditions, genetic and genomic dispositions, etc., in personal, social, occupational, environmental, and behavioral contexts. This transformation is strongly supported by technologies such as micro- and nanotechnologies, advanced computing, artificial intelligence, edge computing, etc.

Three-Dimensional Printable Magnetic Hydrogels with Adjustable Stiffness and Adhesion for Magnetic Actuation and Magnetic Hyperthermia Applications.

Stimuli-responsive hydrogels hold immense promise for biomedical applications, but conventional gelation processes often struggle to achieve the precision and complexity required for advanced functionalities such as soft robotics, targeted drug delivery, and tissue engineering. This study introduces a class of 3D-printable magnetic hydrogels with tunable stiffness, adhesion, and magnetic responsiveness, prepared through a simple and efficient "one-pot" method. This approach enables precise control over the hydrogel's mechanical properties, with an elastic modulus ranging from 43 kPa to 277 kPa, tensile strength from 93 kPa to 421 kPa, and toughness from 243 kJ/m to 1400 kJ/m, achieved by modulating the concentrations of acrylamide (AM) and FeO nanoparticles.

Fundamentals and Advances in Stimuli-Responsive Hydrogels and Their Applications: A Review.

This review summarizes the fundamental concepts, recent advancements, and emerging trends in the field of stimuli-responsive hydrogels. While numerous reviews exist on this topic, the field continues to evolve dynamically, and certain research directions are often overlooked. To address this, we classify stimuli-responsive hydrogels based on their response mechanisms and provide an in-depth discussion of key properties and mechanisms, including swelling kinetics, mechanical properties, and biocompatibility/biodegradability.

Nestin Forms a Flexible Cytoskeleton by Means of a Huge Tail Domain That Is Reversibly Stretched and Contracted by Weak Forces.

Nestin is a type VI intermediate filament protein and a well-known neural stem cell marker. It is also expressed in high-grade cancer cells, forming copolymerized filaments with vimentin. We previously showed that nestin inhibits the binding of vimentin's tail domain to actin filaments (AFs) by steric hindrance through its large nestin tail domain (NTD), thereby increasing three-dimensional cytoskeleton network mobility, enhancing cell flexibility, and promoting cancer progression.

Emerging Strategies for Revascularization: Use of Cell-Derived Extracellular Vesicles and Artificial Nanovesicles in Critical Limb Ischemia.

Critical limb ischemia (CLI) poses a substantial and intricate challenge in vascular medicine, necessitating the development of innovative therapeutic strategies to address its multifaceted pathophysiology. Conventional revascularization approaches often fail to adequately address the complexity of CLI, necessitating the identification of alternative methodologies. This review explores uncharted territory beyond traditional therapies, focusing on the potential of two distinct yet interrelated entities: cell-derived extracellular vesicles (EVs) and artificial nanovesicles.

Correlation between night sweats and season fluctuation in China.

Background: Night sweats are a condition in which an individual sweats excessively during sleep without awareness, and stops when they wake up. Prolonged episodes of night sweats might result in the depletion of trace elements and nutrients, affecting the growth and development of children.

Purpose: To investigate the relationship between sweat nights and season.