Search Results (108)

Pharyngeal infection with high-risk human papillomavirus (HPV), particularly HPV16, is biologically distinct from cervical infection because it occurs within the specialized lymphoepithelial environment of Waldeyer’s ring. This review evaluates nanoparticle materials for the prevention, detection, and treatment of pharyngeal HPV, with an emphasis on structure–property–function relationships, mucosal performance, and translational feasibility. Lipid nanoparticle platforms, polymeric nanoparticle platforms, inorganic systems, and hybrid platforms are compared with respect to composition, particle size distribution, surface charge, colloidal stability, biodegradability, payload compatibility, release behavior, and manufacturing complexity. Evidence suggests that lipid and polymeric systems are the most credible near-future candidates for mucosal vaccination and localized nucleic acid delivery because they offer the best balance between controllable fabrication, analytical tractability, and biologically plausible performance in mucus-exposed tissue. By contrast, the development of inorganic theranostics and CRISPR-enabled platforms remains at an earlier stage because repeated mucosal dosing, retention in lymphoid tissue, and combined product regulation impose substantial burdens. A translational roadmap is proposed in which material selection is guided by clinically relevant quality attributes, standardized saliva- and mucus-relevant assays, human tonsil organoid testing, and early attention to manufacturability, safety, and regulatory strategy. The field is promising, but direct pharyngeal HPV data remain limited; accordingly, there is an urgent need for comparative studies that connect nanoparticle architecture to measurable outcomes such as tonsillar deposition, epithelial uptake, immune activation, and local tolerability. Full article

Banks must balance deposit stability, loan expansion, and regulatory compliance while operating under liquidity constraints and financial risks. This study presents a mathematical model to examine the dynamics of bank deposits and loans under the influence of liquidity mechanisms and regulatory policies. The model proceeds in three stages: a deterministic nonlinear model, a dynamic optimal control model, and a stochastic model. Under the deterministic model, deposit withdrawals are liquidity-dependent, leading to a feedback mechanism in which liquidity improves deposit stability while financing loan growth. The theoretical results demonstrate the model’s positive and bounded solutions and show the existence and local stability of equilibria. Several parameters are based on regulatory policies or calibrated from Indonesian banking data, while the unknown parameters are estimated using the particle swarm optimization (PSO) algorithm. The results show that the proposed model is capable of fitting and predicting the data and has slightly lower mean absolute percentage errors for in-sample and out-of-sample compared with the benchmark model, and achieves comparable directional forecasting performance based on the index of directionality. Sensitivity analysis shows that the capital adequacy ratio supports lending, whereas an increased reserve requirement limits lending. An optimal control approach is developed by considering the reserve and capital requirements as time-varying policy variables. By applying Pontryagin’s maximum principle, we establish the necessary conditions for optimality. Numerical experiments demonstrate that the optimal control regulation enhances financial ratios, particularly the loan-to-deposit and liquidity ratios, at a reasonable cost. Finally, the stochastic model accounts for random variations in withdrawals and credit risks. Simulation-based observations reveal that although the system becomes more volatile, the mean dynamics are close to the deterministic case. Our framework offers a data-based and analytically tractable approach for studying the dynamics of banking variables and the effects of regulatory policies. The proposed model provides a mathematical tool for assessing the long-term effects of regulatory policies on banking performance and can assist bank managers and regulators in designing strategies that balance lending activity and liquidity resilience. Full article

Dietary exposure to microplastics (MPs) has emerged as a significant concern; therefore, its implications for exposure characterization are presented in this study. The lack of standardized testing methods currently limits effective risk management. Determining how industrial operations contribute to the presence of these xenobiotics in the food supply chain is essential, even if environmental absorption is a recognized factor. The Food Microplastics Pyramid (FOMIC-Py), a novel hierarchical structure designed to correlate MP prevalence with industrial processing intensity, is presented in this study. The investigation suggests that technogenic inputs may represent important contributors to contamination by synthesising current literature and applying the model to regional food patterns, especially an Italian North-South scenario study. The method uses sensitivity analysis (Spearman’s ρ = 0.94) for statistical validation and classifies food items from primary commodities (Level 1) to ultra-processed items (Level 5). Mechanical abrasion and packaging interactions are recognized as the main vectors by the FOMIC-Py, which reveals a consistent accumulation of MPs across all five levels of industrial transformation. While FOMIC-Py reliably assesses particles over 1 µm, current analytical constraints regarding nanoplastics lead to a significant exposure underestimation. Consequently, rather than being an established predictive model of human target-organ dosage, the FOMIC-Py framework serves as a new exploratory, hypothesis-generating tool. The absolute exposure metrics should be evaluated cautiously owing to the underlying variability of worldwide MP extraction data, even if our statistical predictions indicate a consistent relative ranking hierarchy across contaminated food categories. These first screening criteria provide a uniform basis to direct future targeted sampling procedures and regulatory prioritization. Full article

Extracellular vesicles (EVs), particularly small extracellular vesicles (sEVs), are lipid bilayer-delimited particles involved in intercellular communication through the transfer of proteins, lipids, and nucleic acids; many products and studies in aesthetic medicine refer to these preparations as exosomes, although endosomal origin is not always demonstrated. This review examines current evidence on the mechanisms, clinical effectiveness, safety, therapeutic applications, and regulatory challenges of EV- and sEV-based interventions, complemented by an exploratory qualitative assessment of physicians’ perceptions regarding clinical implementation. A narrative review of studies indexed in Scopus and PubMed was conducted with emphasis on skin rejuvenation, hair restoration, wound healing, pigmentation disorders, and inflammatory dermatoses, and responses from 12 aesthetic physicians in Colombia were analyzed qualitatively. Available evidence suggests that EVs/sEVs may promote extracellular matrix remodeling, angiogenesis, immunomodulation, and tissue repair, with potential benefits across several aesthetic and regenerative indications. However, the literature remains heterogeneous and limited by variability in biologic sources, isolation and administration protocols, insufficient high-quality clinical trials, and unresolved regulatory issues. Reports of adverse reactions linked to unapproved products marketed as exosome-based formulations further highlight the need for stronger oversight. EVs, particularly sEVs, often referred to as exosomes in the aesthetic literature, remain a promising therapeutic platform, but safe clinical integration requires rigorous validation, technical standardization, and robust regulatory frameworks. Full article

The genus Naegleria comprises free-living amoebae characterized as amphizoic and ubiquitous microorganisms. Naegleria fowleri is the only species pathogenic to humans, causing primary amebic meningoencephalitis. The 26S proteasome represents the principal catalytic complex responsible for the degradation and recycling of intracellular proteins in eukaryotic cells. This complex consists of the 20S and 19S proteasome subunits, with the latter involved in the recognition and processing of ubiquitinated proteins and their delivery to the degradation site. Although the 26S proteasome has been characterized in various pathogenic protozoa, only the 20S proteasome has been studied within the genus Naegleria. The objective of this study was to demonstrate the presence of 19S subunits in N. fowleri. Bioinformatics analyses were employed to evaluate the presence and homology of non-ATPase subunits (Rpn10, Rpn11, and Rpn13) and ATPase subunits (Rpt2, Rpt3, and Rpt5). Additionally, the presence, localization, and correlation of 19S proteasome proteins with the 20S proteasome were assessed using experimental approaches. The results indicate that N. fowleri possesses proteins corresponding to the 19S proteasome, which, together with the 20S core particle, contribute to the formation of the 26S proteasome. Full article

Adoptive cell therapies, and more specifically, regulatory T cell (Treg) therapies, have shown significant therapeutic promise across multiple immune-mediated diseases including graft-versus-host disease (GvHD), solid organ transplant (SOT) rejection, and autoimmune diseases. One key challenge is the lack of insight into the biodistribution and fate of adoptively transferred T cells and Tregs in living organisms. These uncertainties delay progress on establishing optimal dosage(s), infusion timing and route, as well as investigations into off-target effects. Magnetic resonance imaging (MRI) cell tracking is particularly beneficial in this setting because it enables real-time, deep-tissue coverage without ionizing radiation. In this review, we compare existing MRI T cell tracking strategies using iron oxide particles and fluorinated agents. We describe preclinical and clinical applications of MRI for cell therapy tracking and provide a perspective on the potential impact on the field. Full article

Urban construction activities are recognized as significant contributors to particulate matter (PM) emissions; however, the accurate real-time monitoring of size-resolved PM fractions presents a formidable challenge. Traditional low-cost PM sensors predominantly report cumulative concentrations, which obscures the distinct health and regulatory significance of PM1, PM2.5, and PM10. This study systematically evaluates the performance of two low-cost sensors—PMS5003 and Sniffer4D—utilizing non-cumulative measurements obtained under controlled laboratory conditions designed to simulate construction PM generated from concrete slab drilling. Sensor performance was rigorously analyzed using Pearson correlation coefficients, standard deviation, and mean percentage differences. Six correction models—linear regression, polynomial regression, Random Forest (RF), XGBoost, Artificial Neural Network (ANN), and Kalman filter—were independently developed for each PM size fraction to enhance measurement precision. Findings reveal that RF and ANN consistently provided the most accurate corrections, particularly for PM1 and PM2.5, with RF achieving a coefficient of determination (R²) > 0.89 for PM1 and R² > 0.87 for PM2.5 at the 50 s duration. This investigation introduces a size-resolved correction framework specifically designed for construction environments, thereby advancing the capability of low-cost sensors to enable accurate particle-specific exposure assessments. Full article

Pseudomonas aeruginosa is an opportunistic Gram-negative pathogen frequently associated with chronic and biofilm-related infections, largely driven by quorum sensing (QS)-related genes/phenotypes. In this study, we investigated the antivirulence activity of an engineered M13-derived phage-display particle (P9b), selected for specific binding to P. aeruginosa, which acts as a non-lytic modulator of QS through specific binding to a bacterial surface target. P9b induced a transient delay in early planktonic growth, without affecting long-term proliferation. In contrast, P9b significantly reduced biofilm-associated metabolic activity and pyocyanin production, consistent with an effect on QS-regulated pathways. Transcriptional analysis revealed significant downregulation of key QS regulators (lasI, lasR, rhlI, and rhlR) and modulation of phenazine biosynthesis genes (phzM downregulation and phzS upregulation), suggesting interference with QS-dependent regulatory circuits. Notably, P9b retained binding capacity and antibiofilm activity across clinically relevant P. aeruginosa isolates. Overall, these findings indicate that P9b acts as a selective, non-lytic modulator of virulence-associated traits, attenuating QS-regulated phenotypes without bactericidal effects. This study supports the potential of engineered filamentous phages as targeted antivirulence platforms for the development of innovative strategies against persistent and biofilm-associated infections. Full article

Background/Objectives: Magnetic nanoparticles have emerged as powerful tools for biomedical imaging, targeted drug delivery, and hyperthermia therapy. Magnetic particle imaging (MPI) is among the most promising technologies built around its properties: a radiation-free, quantitative tomographic modality that detects superparamagnetic iron oxide nanoparticles (SPIONs) directly against a biologically silent background. This review synthesizes MPI’s physical principles, nanoparticle design strategies, and preclinical applications within the broader landscape of magnetic material engineering for biomedical use. Methods: A systematic review was conducted covering MPI signal generation and image reconstruction, nanoparticle core synthesis and surface coating approaches, and preclinical applications, spanning cell tracking, oncological imaging, vascular perfusion, neuroimaging, and MPI-guided theranostics. Studies were selected to provide quantitative benchmarks and direct comparisons with competing modalities where available. Results: MPI delivers signal-to-background ratios above 1000:1, iron-mass linearity at R² ≥ 0.99, regardless of tissue depth, and acquisition rates up to 46 volumes per second. Tracer architecture—encompassing single-core particles, multicore nanoflowers, and stimuli-responsive cluster designs—is the primary determinant of sensitivity, environmental robustness, and theranostic capability. Preclinical results include detection of cell populations in the low thousands, earlier ischaemia identification than diffusion-weighted MRI, real-time drug release quantification, and spatially confined tumour hyperthermia. Three translational bottlenecks are identified: the absence of a clinically approved tracer with optimal relaxation dynamics, hardware performance losses when scaling to human-bore systems, and overestimation of passive tumour accumulation in murine models. Conclusions: MPI illustrates how progress in magnetic material design directly expands clinical imaging and theranostic possibilities. Successful translation will require indication-driven, interdisciplinary development that integrates materials science, scanner engineering, and regulatory strategy in parallel. Full article

Mining practices and operating conditions are continually evolving, and the respirable fraction of coal mine dust is accordingly expected to change in composition and particle characteristics over time. Between the early 2000s and late 2010s, several regulatory and operational changes occurred in U.S. underground coal mining that could plausibly influence respirable coal mine dust (RCMD), including expanded rock-dusting practices, increased emphasis on respirable crystalline silica, and reductions in diesel emissions. This study evaluated temporal differences in RCMD by comparing samples collected in 2003–2005 and 2018–2020 using particle-level scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM–EDX). The most consistent temporal change observed was an increase in carbonate particles, consistent with expanded rock-dusting practices. Shifts in coal- and rock-strata-derived dust were observed but were not consistent across regions, and no consistent trend toward finer particle sizes was identified. These results demonstrate the value of particle-level analysis for evaluating changes in RCMD characteristics over time. Full article

As SARS-CoV-2 continues to evolve with increased transmissibility and immune evasion, the need for vaccines that provide broader and more durable protection has become increasingly urgent. The extensive research spurred by the pandemic has accelerated the development of diverse vaccine platforms, including mRNA, DNA, virus-like particles (VLPs), recombinant proteins, and mosaic mono- and polyvalent vaccines. While several of these platforms have reached regulatory approval and widespread clinical employment, others remain under evaluation or in various stages of clinical development. These vaccines have significantly reduced infection rates, severe disease, and hospitalizations, particularly among high-risk group. Nevertheless, the ongoing emergence of novel variants and subvariants has challenged the efficacy of both existing and newly developed vaccines. This evolving landscape underscores the urgent need for a universal SARS-CoV-2 vaccine platform capable of providing comprehensive and long-lasting immunity. In this review, we evaluate current and emerging strategies for SARS-CoV-2 universal vaccine development, with a focus on antigen design, breadth of immune protection, and clinical feasibility. Attention is given to various universal vaccine platforms such as the mosaic polyvalent spike construct, multi-epitope vaccines targeting the receptor-binding domain (RBD), and approaches centered on the conserved S2 subunit of the spike protein. We also discuss strategies leveraging additional conserved viral proteins and T helper (Th) and cytotoxic T lymphocyte (CTL) epitopes from across coronaviruses. By highlighting the advances in these areas, this review provides a framework to guide the rational design of next-generation universal vaccines capable of delivering broad and durable protection against SARS-CoV-2 variants. Full article

This study aims to clarify the influence mechanism of air–water–mineral three-phase flow behavior on separation efficiency in a graphite flotation column, addressing the issues of over-breaking of coarse graphite flakes and low recovery of fine particles caused by mismatched flow fields and operating parameters in traditional flotation columns. Using CFD numerical simulations based on the Eulerian multiphase flow model, the standard k-ε turbulence model, and scalable wall functions, the effects of feed velocity (0.8–2.4 m/s) and aeration velocity (1–5 m/s) on the flow field structure, gas holdup distribution, and weighted average bubble–particle collision probability inside the column were systematically analyzed. Key quantitative results show that under the synergistic condition of a feed velocity of 2 m/s and an aeration velocity of 3 m/s, an internal circulation flow field conducive to particle retention is formed. Under these conditions, the gas holdup in the collection zone reaches an optimal range (0.26–0.27), and the weighted average collision probability increases by approximately 22% compared to the baseline condition. Aeration velocity shows a significant positive correlation with gas holdup in the collection zone (~0.235 at 1 m/s, rising to ~0.285 at 5 m/s). While an increase in feed velocity reduces the overall gas volume fraction, it enhances turbulence and promotes uniform bubble dispersion through the spatial distribution of regions with high collision probability from the upper part to the upper–middle part of the column and improves the uniformity of distribution. The novelty of this study lies in being the first to quantitatively reveal, through CFD simulation, the coupled regulatory effects of feed velocity and aeration velocity on the stratified flow field structure and mineralization probability in a flotation column and to identify the key optimization threshold of “2 m/s feed velocity”. The practical significance is that it provides a clear theoretical basis and operational window for energy saving, consumption reduction, and process intensification in industrial flotation columns. It offers directly applicable parameter optimization strategies for the efficient recovery of fine-flake graphite and the protection of coarse flakes. Full article

Lipid nanoparticles (LNPs) have been widely utilized as carriers for nucleic acid drug delivery; however, their inherent heterogeneity impedes the accurate characterization of physicochemical and biological properties. Conventional analytical methods are inherently limited in resolving such heterogeneity. This study employed sucrose density gradient centrifugation (S-DGC) to separate LNP subpopulations of varying densities. It investigated the effects of lipid formulation parameters—including nitrogen-to-phosphorus (N/P) ratio, lipid composition, polyethylene glycol (PEG) concentration—and microfluidic preparation conditions (flow rate) on LNP heterogeneity and biological functionality. Formulation stability was assessed via freeze–thaw testing. The results demonstrated that S-DGC could effectively separate LNP subpopulations with divergent densities and physicochemical characteristics. Changes in the N/P ratio and lipid composition significantly modulate subphase distribution and properties. When cholesterol (Chol) and distearoylphosphatidylcholine (DSPC) are absent from the formulation, LNPs aggregate in the low-density layer (0–10% sucrose density layer). The concentration of PEGylated lipids serves as a critical regulatory factor. When the concentration increased from 0.5% to 2.5%, the LNP particle size decreased from approximately 202 nm to 118.7 nm. Furthermore, the S-DGC profile indicates that LNP transitions from an aggregated low-density distribution to a uniformly dense subpopulation concentrated within the 0–20% sucrose layer, where transfection efficiency is optimal. In freeze–thaw stability assessment, unprotected LNP exhibited a drastic decline in encapsulation efficiency to 5.3% after three freeze–thaw cycles at −80 °C. The S-DGC diagram revealed aggregation in the 20–30% high-density region. However, adding 5% sucrose maintained encapsulation efficiency above 96%. This study confirms that the S-DGC analytical platform serves as a potent tool for resolving LNP heterogeneity and correlating formulation structure with function. Based on these findings, this study contends that during the early prescription development of LNP-based nucleic acid therapeutics, formulation screening should not be confined to meeting overall particle size and encapsulation rate targets. Instead, S-DGC can be employed to proactively identify and minimize ineffective subpopulations (such as particles distributed in extremely high or low density zones), thereby enhancing product quality uniformity and predictability from the outset of R&D. Full article

Boron neutron capture therapy (BNCT) is experiencing a global resurgence driven by advances in boron pharmacology, accelerator-based neutron sources, and molecular imaging-guided theranostics. BNCT produces high linear energy transfer particles with micrometer-range energy deposition, enabling cell-selective irradiation confined to boron-enriched tumor cells in a geometrically targeted region by the neutron beam. This mechanism offers the potential for exceptionally high therapeutic ratios, provided two core requirements are met: sufficient differential tumor uptake of ¹⁰B and a neutron beam with appropriate energy and penetration. After early clinical attempts in the mid-20th century were hindered by inadequate boron agents and reactor-based neutron beams, recent technological breakthroughs have made BNCT clinically viable. The development of hospital-compatible accelerator neutron sources, next-generation boron delivery systems (such as receptor-targeted compounds and nanoparticles), advanced theranostic approaches (such as ¹⁸F-BPA positron emission tomography and boron-sensitive magnetic resonance imaging), and AI-driven biodistribution modeling now support personalized treatment planning and patient selection. These innovations have catalyzed modern clinical implementation, exemplified by Japan’s regulatory approval of BNCT for recurrent head and neck cancer and the rapid expansion of clinical programs across Asia, Europe, and South America. Building on these foundations, BNCT has transitioned from a predominantly academic experimental modality into an increasingly commercialized and industrially supported therapeutic platform. The emergence of dedicated BNCT companies, international collaborations between accelerator manufacturers and hospitals, and pharmaceutical development pipelines for next-generation boron carriers has accelerated clinical translation. Moreover, BNCT now occupies a unique position among radiation modalities due to its hybrid nature, namely combining the biological targeting of radiopharmaceutical therapy with the external-beam controllability of radiotherapy, thereby offering new therapeutic opportunities where competitive approaches fall short. Emerging evidence suggests therapeutic promise in glioblastoma, recurrent head and neck cancers, melanoma, meningioma, lung cancer, sarcomas, and other difficult-to-treat malignancies. Looking ahead, continued innovation in compact neutron source engineering, boron nanocarriers, multimodal theranostics, microdosimetry-guided treatment planning, and combination strategies with systemic therapies such as immunotherapy will be essential for optimizing outcomes. Together, these converging developments position BNCT as a biologically targeted and potentially transformative modality in the era of precision oncology. Full article

Silver-coated copper powder, possessing both excellent electrical conductivity and cost advantages, holds broad application prospects in electronic packaging and conductive materials. This study investigates the surface characteristics of copper powders produced by different methods and the effect of surface modification on electroless silver plating. It also analyses the regulatory role of silver content on coating structure and corrosion resistance. Results indicate varying responses to modifiers among different copper powders: contact angle decreased from 52.9° to 50.3° for physically modified copper powder and from 61.9° to 40.9° for chemically modified copper powder, demonstrating significantly improved surface wettability and enhanced silver layer coverage integrity. As silver content increased from 8 wt% to 15 wt%, the silver layer’s compactness increased, enhancing corrosion resistance. The self-corrosion current densities for physically and chemically modified copper powders decreased from 1.285 × 10⁻⁵ and 1.120 × 10⁻⁵ A·cm⁻² to 4.671 × 10⁻⁶ and 5.075 × 10⁻⁶ A·cm⁻², respectively. At 15 wt% silver content, the emergence of free silver particles on the powder surface led to reduced stability. This study elucidates the synergistic regulation mechanism between the properties of the copper powder matrix and the silver coating content on the silver-coated copper powder structure and its corrosion resistance. It provides experimental evidence for the design and application of high-performance silver-coated copper powders. Full article