Search Results (58,890)

Cancer remains a major global health challenge, characterized by abnormal cell growth and metastasis. Current limitations of conventional therapies, particularly non-specific toxicity harming healthy cells, highlight the need for more targeted approaches. Nanotechnology offers a revolutionary solution, utilizing nanoparticles (NPs) for precise drug delivery to tumor sites while minimizing off-target effects. These nanometer-scale particles enable superior binding to cancer cell membranes, the tumor microenvironment, or nuclear receptors, facilitating significantly higher local concentrations of therapeutic agents. NPs, synthesized via physical, chemical, or biological methods, are categorized as organic (organic material-based) or inorganic (metallic particle-based). Key delivery mechanisms include the Enhanced Permeability and Retention (EPR) effect and Active Transport and Retention (ATR). This review specifically examines NP applications for the most prevalent cancers in the US (2025): breast, prostate, and lung. Gold and magnetic NPs show significant promise for early breast cancer detection. For lung cancer, polymeric NPs like PCL, PLA, and PLGA are effective carriers for peptides, proteins, and nucleic acids. BIND-014, a docetaxel-loaded NP formulation, represents an emerging strategy for prostate cancer. Clinically established examples include liposomal doxorubicin and albumin-bound paclitaxel. We comprehensively discuss the synthesis methods, delivery mechanisms, and the current landscape of NPs in research and clinical trials for these cancers. This analysis underscores the potential of nanotechnology to provide more effective and targeted therapeutic options for cancer patients in the future. A distinctive feature of this review is its comparative cancer-specific analysis of NP platforms in breast, prostate, and lung cancers. Unlike previous generalized reviews, this work integrates synthesis strategies, delivery mechanisms, translational challenges, and clinically relevant formulations to provide a bench-to-bedside perspective on the future of nanomedicine in oncology. Full article

Background: Elevated anticardiolipin IgG (aCL IgG) has been reported in end-stage renal disease (ESRD), but its association with specific etiologies of kidney failure remains unexplored. The unique pathophysiology of diabetic–hypertensive nephropathy may be associated with a microenvironment that could potentially contribute to antiphospholipid antibody production and thrombotic complications. This study aimed to investigate whether aCL IgG elevation in hemodialysis (HD) patients is associated with combined diabetes–hypertension (DM + HTN) etiology and thrombocytopenia, thereby identifying a clinically distinct potential high-risk subgroup. In this hypothesis-generating study, we focused on within-HD patient comparisons rather than healthy controls. Methods: We enrolled 242 participants: 150 healthy controls (included only to establish local reference ranges) and 92 patients with maintenance HD. The study was conducted from 01 September to 20 November 2025 in Madinah, Saudi Arabia. Serum aCL IgG was measured by chemiluminescence immunoassay (positive ≥ 12 GPL units). Comprehensive hematological and biochemical parameters were analyzed. Multivariable logistic regression identified predictors of aCL positivity. Results: In the HD cohort, 21% demonstrated aCL positivity; this represents a substantially higher rate than the 2% observed in local healthy controls (p < 0.001). This elevation was not uniform across etiologies. Strikingly, 94.7% (18/19) of aCL-positive HD patients had DM + HTN aetiology, compared with only 17.8% of aCL-negative patients (p < 0.001). Thrombocytopenia was significantly more severe in aCL-positive patients (median platelets: 100 vs. 191 × 10⁹/L, p < 0.001). In multivariable analysis, DM + HTN etiology (HTN-alone vs. DM + HTN odds ratio [OR]: 0.0013, 95% confidence interval [CI]: 0.00002–0.0999, p = 0.003; confirmed by Firth’s penalized logistic regression sensitivity analysis, and lower platelet count (OR: 0.92 per 1 × 10⁹/L increase, 95% CI: 0.87–0.98, p = 0.006) independently predicted aCL positivity. Conclusions: These hypothesis-generating findings suggest a potential association between metabolic–vascular disease and antiphospholipid immunity in ESRD. Causality cannot be inferred from this cross-sectional design. At present, routine aCL screening is not recommended outside of research protocols; prospective studies are needed to confirm these associations. Full article

This study aimed to detect growth stress at the individual-tree level in chestnut (Castanea crenata Sieb. et Zucc.) plantations using UAV-based RGB orthomosaic and multispectral imagery and to determine an optimal NDVI threshold for stress classification. UAV surveys were conducted over a 21 ha chestnut orchard located in Gongju, Chungcheongnam-do, Republic of Korea. NDVI was calculated and analyzed at the individual-tree level using multispectral imagery. Based on field observations, 100 healthy trees and 23 stressed trees were selected for statistical analysis. The mean NDVI value was 0.900 ± 0.012 for healthy trees and 0.816 ± 0.013 for stressed trees, showing a highly significant difference (p < 0.001). ROC analysis showed excellent classification performance with an AUC of 1.00. The optimal NDVI threshold determined using Youden’s index was 0.855. Independent validation in another chestnut plantation approximately 1 km away achieved high classification accuracy using the same threshold. These results indicate that UAV-based multispectral imagery combined with NDVI analysis provides an effective approach for early detection of growth stress and precision monitoring at the individual-tree level in chestnut plantations. This study provides a practical and efficient approach for the early detection of growth stress at the individual-tree level, enabling early intervention against potential declines in tree vitality and proactive management in chestnut orchards. The proposed NDVI threshold-based method offers a simple yet robust tool that can be readily applied in precision forestry and smart agriculture to support large-scale monitoring and informed management decisions for maintaining orchard productivity, enabling cost-effective early intervention at the individual-tree level, which is difficult to achieve using conventional ground-based surveys in complex mountainous orchards. Full article

Background: Platelet concentrates (PCs) are vital for treating hematologic disorders and thrombocytopenia, yet their short shelf life (3–5 days) is limited by platelet storage lesion (PSL)—a process involving biochemical and structural deterioration that reduces post-transfusion efficacy. This study aimed to characterize alterations in platelet surface receptors and RNA content during storage to better understand PSL mechanisms. Methods: Platelet-rich plasma (PRP) and platelet-poor plasma (PPP) were prepared from healthy donors and stored PCs. Flow cytometry was used to assess the expression of GPIbα, GPVI, Integrin αIIbβ3, and CD9. Thiazole orange (TO) staining evaluated RNA content to distinguish young from aged platelets, while soluble GPVI (sGPVI) levels were quantified by ELISA. Data were analyzed using one-way ANOVA and Student’s t-test (p < 0.05). Results: Baseline receptor profiles were established from fresh donor platelets. Stored PCs showed a progressive decline in GPIbα and GPVI expression from day 6, with significant reductions by day 11 (p < 0.05). αIIbβ3 expression decreased early (day 6) and stabilized thereafter, whereas CD9 remained unchanged. TO staining indicated a gradual loss of RNA-rich platelets, signifying aging. ELISA revealed increased sGPVI levels from day 6 to day 14, inversely correlating with surface GPVI loss. Conclusions: Prolonged storage leads to receptor degradation and platelet senescence, notably affecting GPIbα, GPVI, and αIIbβ3. Elevated sGPVI levels and reduced RNA content reflect progressive PSL. Flow cytometry and ELISA offer reliable monitoring tools, and sGPVI may serve as a biomarker for platelet quality during storage. Full article

Background/Objectives: Nutritional vulnerability (NV) describes the interaction of diet quality, access to food, health status and socioeconomic factors and may differ between neighborhoods. Nevertheless, there is still a limited amount of evidence regarding local NV variations in contrasting resource landscapes. The purpose of this study was to operationalize NV in Windham, Connecticut and conduct an analysis of its spatial distribution and the differences between neighborhoods for NV and specifically diet quality. Methods: NV was measured with four indicators, including two diet quality measures (liking-based DQI and short food frequency-based sHEI), food security, obesity, and SNAP participation. Areas of vulnerable concentration were determined through spatial mapping. Indicators related to each other were measured by Spearman correlation. To compare the contrasting neighborhoods (resource-dense vs. resource-limited), contextual differences were studied and differences in NV indicators, sociodemographic and movement factors were compared with the help of chi-square tests. Diet quality measures were jointly examined for concordance (both measures low or high) and discordance. Results: Area-level comparisons showed significant differences in mobility-related and sociodemographic characteristics, including vehicle access and education level (p < 0.05). High diet quality (measure concordance) was reported by individuals living in high-resourced regions; low diet quality (measure concordance) by individuals in low-resourced regions. Conclusions: The NV Map illustrated focal patterns of vulnerability determined by the interplay of sociodemographic disadvantage and mobility-related limitations and not by distance to food resources. These results give practical spatial data to promote specific nutrition and resource intervention. Full article

Deciphering the dynamic fracture evolution of rock masses, particularly the interaction between dynamic stress waves and localised weak interlayers, is essential for optimising dynamic rock excavation in mining engineering. To systematically explore how these structural planes halt propagating cracks and generate a dynamic shielding effect, this study integrated Split Hopkinson Pressure Bar experiments, Digital Image Correlation techniques, and computational modeling. The findings demonstrate that altering the geometric orientation of the soft layer dictates the ultimate failure pattern. While an orthogonal interface (i.e., an interface with 0° inclination perpendicular to the loading direction) allows a tension-driven crack to cleave directly through the entire composite specimen, introducing an inclined obliquity of 15° forces the advancing fracture to deviate and permanently halt inside the soft stratum. Macroscopically, this barrier capability is validated by a rapid decrease in fracture speed, which drops abruptly by 75.5% upon encountering the inclined zone. Microscopic numerical evaluations confirm that this fracture arrest originates from wave mode conversion at the misaligned boundary. The angled interface forces incoming compressional pulses to transform into intense shear stresses, promoting extensive fracture. Substantial energy dissipation within the interlayer fully deprives the primary crack of the tensile stress required for propagation, effectively confining the stress-propagated hard rock within an energy shadow zone and suppressing further fragmentation. Full article

In tunnel engineering, the integration of aseismic materials and structural designs has become a prevalent strategy to reduce earthquake-induced damage. However, previous studies on the seismic performance of tunnel structures predominantly employed deterministic methods, overlooking the spatial variability of the surrounding rock mass. This oversight often leads to an overestimation of structural performance, posing potential risks to the project. This study develops a probabilistic framework based on random field theory to evaluate the aseismic performance of tunnel linings incorporating a rubber–sand–concrete (RSC) constrained damping layer. The analysis systematically evaluates the aseismic performance of RSC across varying peak ground acceleration (PGA) levels and tunnel depth conditions. The findings are compared with results from traditional deterministic approaches. The probabilistic analysis indicates the following: (1) a reduction of approximately 70% in the dispersion of maximum principal stresses across various PGAs; (2) a decrease in RSC’s aseismic performance with greater burial depths, though it remains substantial overall, and (3) a reduction in the failure probability from 31.8% to 16.3% at PGA = 1.2 g. Furthermore, deterministic methods tend to produce overly optimistic estimates of tunnel aseismic performance, highlighting the need for probabilistic analysis. Full article

Background: Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system and is the leading cause of neurological disability. Currently, the main strategy for MS therapy is the use of disease-modifying therapies (DMTs). If low-efficacy DMTs are ineffective, patients are transferred to high-efficacy DMTs, which possess more severe side effects associated with immunosuppression. Therefore, the search for new add-on therapies for MS that can enhance the effect of low-efficacy DMTs is relevant. Curcumin, being a natural polyphenol, has immunoregulatory properties and a favorable safety profile. In addition, micellar forms of curcumin can increase its bioavailability. We studied the effect of micellar curcumin on clinical and laboratory parameters in patients with MS receiving low-efficacy DMTs (IFN-β). Methods: Sixty patients with MS and a suboptimal response to IFN-β were randomized (1:1) into two groups: the IFN-CUR group, which received add-on therapy with micellar curcumin (containing curcumin and Tween 80 as a solubilizer) for 6 months, and a control group (IFN group), which received IFN-β alone. The 6-month treatment period was followed by a subsequent 6-month follow-up off curcumin treatment (DMTs only). Results: The proportion of patients without relapses in the curcumin add-on group increased significantly after 6 months (from 57% to 90%, p = 0.007), and the risk of exacerbation was significantly lower compared to the control group (HR = 0.2; p = 0.03). The treatment was associated with EDSS score stabilization, a positive effect on depression (p = 0.05), and a reduction in plasma IFN-γ levels (p = 0.02). A decreasing trend in MRI lesion activity and reductions in specific microbiota-related markers, including the Eggerthella lenta-associated marker (i16a), were also observed. In ex vivo cultures, curcumin significantly inhibited IL-6 production in macrophages derived from patients with multiple sclerosis (MS) and healthy donors. Conclusions: Add-on therapy with micellar curcumin may enhance the efficacy of IFN-β, improving clinical outcomes and modulating inflammatory and microbial parameters in MS patients with a suboptimal response to IFN-β treatment. Full article

Lumbosacral and thoracolumbar kinematics are key risk factors for lifting-related low back pain, yet their measurement is typically restricted to motion capture laboratories. Inertial measurement units (IMUs) offer the potential to quantify spine kinematics in more naturalistic settings, but the validity of IMU-based processing pipelines relative to optical motion capture (OMC) remains unclear. Nine healthy participants performed stoop, squat, free, and asymmetric lifting tasks while IMU and OMC data were simultaneously collected to evaluate the concurrent validity of two IMU pipelines: the proprietary MVN Analyze pipeline and an OpenSense pipeline using a validated OpenSim biomechanical model for lifting. Joint angles from both pipelines were compared against OMC-derived joint angles calculated using the same validated OpenSim model with one-way repeated-measures statistical parametric mapping (SPM) (α = 0.05), Bland–Altman analysis with Limits of Agreement (LoA) and 95% Confidence Intervals (CIs), and Concordance Correlation Coefficients (CCCs) with 95% CIs. Xsens MVN Analyze consistently overestimated flexion-extension at both spinal levels across all lift types (lumbosacral: RMSE ≤ 9.8◦, bias ≤ −14.5◦, LoA ≤ ±10◦; thoracolumbar: RMSE ≤ 5.4◦, bias ≤ −8.3◦, LoA ≤ ±5◦), with SPM confirming significant differences during the lifting and lowering phases of all lifting cycles. In contrast, processing Xsens data with OpenSense using the same biomechanical model as the OMC data yielded excellent agreement with OMC (RMSE ≤ 2.9◦, bias ≤ 3◦, LoA ≤ ±10◦). CCC was poor to moderate, specifically in lateral bending and axial rotation planes, likely reflecting limited between-participant ROM variability. These results suggest that discrepancies are driven primarily by biomechanical model differences rather than sensor or sensor fusion limitations. Ultimately, when paired with an appropriate biomechanical model, XSens sensors show promise for practical field-based assessment of lifting biomechanics, potentially requiring only sensors at the chest and pelvis. Full article

Thailand is facing a rapidly aging society, raising concerns about how retiring workers will maintain their quality of life. Insured persons in the social security system—especially voluntary members under Section 40 of the Social Security Act B.E. 2533 (1990), who are often informal workers—frequently lack formal retirement plans, underscoring the need for interventions that address financial security and subjective well-being (SWB) in later life. This study aimed to develop and evaluate a retirement planning program designed to enhance subjective well-being and improve the quality of life for pre-retirees in Songkhla Province. A Research and Development (R&D) design was employed in four phases. Phase 1 (R1) involved a needs assessment: survey data from 500 insured individuals (ages 40–60) were collected to identify gaps between current and desired retirement preparedness. Phase 2 (D1) utilized the needs assessment results and theoretical frameworks to design a Subjective Well-being Retirement Planning Program, encompassing financial, health, and psychosocial components. Content-relevance experts validated the draft program. Phase 3 (R2) involved implementing the program with 15 volunteer participants over four weekly workshops (each 3 h long) and evaluating its short-term pilot outcomes using pretest-posttest measures of subjective well-being. Phase 4 (D2) refined the program based on evaluation findings and expert feedback. Results indicated that following participation in the program, participants’ overall subjective well-being and all sub-dimensions (life satisfaction, positive and negative affect balance, sense of meaning, social connectedness, security, and health) were significantly higher than before (p < 0.001). Additionally, the proportion of participants classified as inadequately prepared for retirement (high-risk due to low planning) decreased markedly, suggesting increased readiness within the pilot group. Expert evaluations of the program design reflected a high content validity index and strong agreement on the program’s accuracy, appropriateness, and usefulness for the target group. In conclusion, the developed retirement planning program was associated with short-term improvements in subjective well-being and quality-of-life indicators among insured pre-retirees. This theory-informed program, developed through an R&D process, offers a model for supporting aging workers in the social security system, with implications for policymakers and practitioners seeking to promote healthy, happy, and secure retirements in an aging society. Full article

Background/Objectives: Integrons are genetic platforms that allow bacteria to acquire antimicrobial resistance (AMR) genes, making them a focal point for many AMR studies and surveillance programs. This study investigated how the prevalence of integrons (intI and attI genes) in third-generation cephalosporin-resistant E. coli (3GCR-Ec) varied across three different sources (i.e., healthy children, domestic animals and urinary tract infections). The study aimed to determine how different classes of AMR genes vary among 3GCR-Ec with integrons present versus those where integrons are absent. Methods: We analyzed 3GCR-Ec isolates collected from semirural parishes of Eastern Quito, Ecuador, that included: (1) 3GCR-Ec from healthy children (n = 946), (2) 3GCR-Ec from domestic animal species (n = 673), and 3GCR-Ec from patients with urinary tract infections (UTIs) (n = 138). Genomic analyses were performed for all 1757 sequences to determine how the presence and absence of integrons was associated with AMR gene carriage. Results: Among the total sequences of 3GCR-Ec evaluated across all datasets, nearly one-third (31%) were integron-negative. 3GCR-Ec from UTI patients, however, had a higher percentage containing integrons (79%). Across all sets of 3GCR-EC, integron-positive isolates carried an average of 10.3 (±3.0 SD) AMR genes versus 4.8 (±2.5 SD) AMR genes in integron-negative isolates. This study found that between 21% to 33% of 3GCR-Ec across the three different sources lacked integrons but maintained the ability to carry diverse classes of AMR genes, including beta-lactams, aminoglycosides, tetracyclines, and multidrug resistance mechanisms (e.g., general-purpose efflux pumps). Conclusions: While integrons were associated with greater AMR genes on average, the study highlights that solely relying on integrons for tracking drug-resistant bacteria misses a substantive portion of AMR that is present in integron-negative strains. Full article

Measles remains a major global public health challenge as declining vaccination coverage fuels outbreaks worldwide. Although pneumonia is the most recognized respiratory complication, spontaneous air leak syndrome—including pneumomediastinum, subcutaneous emphysema, and pneumoperitoneum—is rarely documented. We report the case of a 9-year-old previously healthy girl with no documented measles–rubella vaccination who presented with fever, maculopapular exanthem, Koplik spots, and persistent cough. Measles was confirmed by both immunoglobulin M enzyme-linked immunosorbent assay and real-time reverse transcription polymerase chain reaction. She developed sudden cervicothoracic swelling and chest pain. Chest radiography revealed pneumomediastinum and subcutaneous emphysema; computed tomography confirmed extensive air leak including pneumoperitoneum. Flexible bronchoscopy and upper gastrointestinal endoscopy excluded structural airway and esophageal injury. Laboratory evaluation revealed elevated hepatic transaminases, gamma-glutamyl transferase, lactate dehydrogenase, and D-dimer. Conservative management with high-flow supplemental oxygen and clinical surveillance led to progressive resolution. The patient was discharged on hospital day three, asymptomatic and breathing room air. This case highlights the spectrum of air leak complications in measles and supports conservative management in hemodynamically stable pediatric patients when structural injury has been excluded. Full article

Background/Objectives: Aging is associated with physiological, biochemical, and psychosocial changes that can significantly affect nutritional status and overall health. In Sub-Saharan Africa (SSA), older adults face unique age-related challenges that may compromise healthy aging, yet evidence remains fragmented. This systematic review synthesized the existing literature on the nutritional status, age-related challenges, and strategies to promote healthy aging of older adults in SSA. Methods: A systematic literature search was conducted on PubMed, Scopus, ScienceDirect, and Cochrane Library to identify relevant studies published up to 10 December 2025. Results: Fifty-five studies met the inclusion criteria, with most of the studies coming from South Africa, Ghana, and Nigeria. Amongst community-dwelling populations, approximately 30–65% of the older adults were either malnourished or at risk of malnutrition, while hospital-based studies reported markedly higher burdens, with malnutrition prevalence exceeding 70% in some settings. Undernutrition, micronutrient deficiencies, and the coexistence of overweight and obesity were frequently observed, reflecting the region’s ongoing nutrition transition. Frailty emerged as the predominant age-related challenge, with prevalence ranging around 10–60%. Other common challenges included sarcopenia, reduced muscle strength, functional disability, cognitive impairment, and dysphagia, all of which were closely related to poor nutritional status, food insecurity, multimorbidity, and reduced quality of life. Few studies reported on healthy aging strategies, with the limited evidence suggesting that nutrition education, physical activity, and psychosocial interventions may enhance nutritional and functional outcomes. Conclusions: The need for context-specific, nutrition-sensitive interventions, and stronger health and social support systems is warranted to promote healthy aging in SSA older adults. Full article

Although prebiotics and postbiotics support gastrointestinal health, evidence for their combined effects in dogs remains limited. This study evaluated a novel prebiotic and postbiotic supplement in healthy dogs undergoing a dietary transition. Thirty-six healthy adult dogs were randomly assigned to control group (CON, high-protein basal diet with placebo chew) or treatment group (TRT, the same basal diet with chew containing prebiotics [baobab fruit pulp and acacia gum] and postbiotics [inactivated Lactobacillus acidophilus and selected yeast fractions]) for a 28-day formal trial following a 7-day adaptation period. The primary outcomes evaluated included clinical fecal scores, specific biomarkers of intestinal barrier function and inflammation, fecal short-chain fatty acids, and microbiota structure. Following the 7-day adaptation, formal trial baseline, fecal scores were already within the healthy range and remained optimal without differing between groups throughout the study. Compared with CON, the TRT group showed lower fecal calprotectin and serum diamine oxidase levels, and higher fecal butyrate (p < 0.05). Metagenomic analysis revealed increased abundances of Bacteroidota, Oscillospiraceae, Prevotellaceae, and Prevotella in TRT (p < 0.05). Overall, in healthy dogs, this supplementation was associated with favorable microbiota modulation and modulated biomarkers of intestinal barrier and inflammation within normal ranges, without altering clinical fecal endpoints. Full article

Background/Objectives: This study analyzes the relationship between obesity phenotypes and sleep apnea risk in the Korean population. Methods: This study utilized data from the Korean National Health and Nutrition Examination Survey (KNHANES) collected between 2019 and 2021 (n = 10,970 adults; age ≥ 40 years). Obesity phenotypes were classified into four groups based on body mass index (BMI) and the presence of metabolic syndrome: metabolically healthy normal weight (MHNW), metabolically abnormal normal weight (MANW), metabolically healthy obese (MHO), and metabolically abnormal obese (MAO). Sleep apnea risk was assessed using the STOP-Bang questionnaire, and multivariate logistic regression analyses were performed to evaluate the association between obesity phenotypes and sleep apnea. Results: Among the 10,970 participants, the phenotypes were as follows: MHNW, 51.1%; MANW, 10.3%; MHO, 15.8%; and MAO, 21.8%. Baseline characteristics differed significantly across phenotypes, with the metabolically unhealthy groups (MANW and MAO) being older and exhibiting more cardiometabolic risk factors than the metabolically healthy groups. The prevalence of STOP-Bang questionnaire components differed significantly across phenotypes (all p < 0.001), and the mean STOP-Bang score increased from MHNW to MAO. In multivariate logistic regression analyses, the odds (adjusted odds ratio [95% CI]) of high sleep apnea risk were significantly elevated in all non-MHNW phenotypes: MAO (10.27 [7.71–13.68]), MHO (6.17 [4.35–8.75]), and MANW (1.91 [1.22–2.98]). Notably, MAO conferred a significantly higher risk than MHO (OR 1.69 [1.34–2.13]), highlighting the synergy of obesity and metabolic dysfunction. Obesity phenotypes, defined by BMI and metabolic health status, were differentially associated with sleep apnea risk in Korean adults. The highest risk was observed in individuals with both obesity and metabolic syndrome, while metabolically abnormal normal-weight adults also showed a significantly increased risk. Conclusions: Metabolic dysfunction may contribute to sleep apnea risk beyond body size alone and may be considered in risk stratification strategies. Full article