Search Results (10,955)

Since chemical anti-allergic compounds have adverse effects, many investigators pay attention to relatively safe natural products. Twenty-four newly crossbred rosebuds were extracted with 80% ethanol and analyzed for polyphenols, flavonoids, tannins, proanthocyanidins, and pyrogallol (1,2,3-benzenetriol). The extracts’ antioxidative, anti-allergic, and anti-inflammatory activities were assessed in vitro and in vivo. Among candidates, Lover Shy, Pretty Velvet, Ice Wing, Red Perfume, Onnuri, Jaemina Red, and Hanggina were found to possess high concentrations of antioxidant components and antioxidative activity. By comparison, Pretty Velvet, Red Perfume, Jaemina Red, Hanggina, Onnuri, and Ice Wing were highly effective in anti-allergic and anti-inflammatory activities in vitro, in parallel with their concentrations of pyrogallol. Their anti-allergic effects were confirmed in mice: The six extracts protected against Compound 48/80-induced mortality and scratching behaviors in a dose-dependent manner. The allergen-induced increases in serum IgE and histamine, as well as inflammatory cytokines, tumor-necrosis factor-α, and interleukin-1β, were remarkably attenuated following treatment with the rosebud extracts. These findings suggest that the extracts and active ingredients from cross-bred rosebuds exert anti-allergic and anti-inflammatory activities through their high levels of pyrogallol and antioxidants, and that they could be promising candidates to overcome allergic responses such as atopic dermatitis. 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

Pertussis is a highly contagious respiratory infection caused by Bordetella pertussis and remains a persistent global health challenge despite widespread vaccination. This review aims to analyze the immune pathogenesis of B. pertussis infection and to identify key immunological limitations of current acellular pertussis vaccines that contribute to ongoing transmission. A narrative review of the literature was conducted, focusing on mechanisms of host–pathogen interaction, immune evasion, and vaccine-induced immunity. Evidence indicates that although acellular vaccines effectively reduce disease severity, they fail to prevent nasopharyngeal colonization and transmission, largely due to insufficient induction of mucosal immunity, T helper 1 (Th1) and T helper 17 (Th17) responses, and airway tissue-resident memory T cells. In contrast, natural infection induces broader immune responses, including secretory IgA production and robust cellular immunity, which are associated with improved bacterial clearance. Emerging next-generation vaccine strategies, including mucosal, outer membrane vesicle-based, and live-attenuated platforms, demonstrate enhanced ability to reduce bacterial colonization in preclinical and clinical models. In conclusion, effective control of pertussis transmission will require vaccine approaches that replicate infection-induced immunity at the respiratory mucosa, emphasizing the need for redesigned immunization strategies. Full article

Internet Gaming Disorder (IGD) has emerged as an increasingly prevalent behavioral health concern among late adolescent university students, a vulnerable population with emotional distress due to the developmental changes and academic pressures. This research explored the direct correlations between IGD and Mental Health Disorder (MHD), such as depression, anxiety, and stress in Saudi Arabia (SA) with study discipline as a moderator. A total of 480 students participated in the developed self-structured questionnaire, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze the obtained data. The results showed that IGD can exert a positive and significant association with all three aspects of MHD. Moreover, the PLS-SEM slope analysis indicated that study discipline can significantly moderate the link from IGD to both anxiety and depression, with university students in health, science, and engineering fields displaying higher symptoms of depression and anxiety as compared to their peers in humanities and social sciences. However, study discipline failed to moderate the link from IGD to stress. These findings can be interpreted through maladaptive coping mechanisms and behavioral addiction, whereby extreme IG can contribute to social withdrawal, reduce sleep quality, and worsen stress regulation, specifically during the late adolescence period. The results extend current research on IGD by emphasizing the disciplinary differences in mental health vulnerability and offering more empirical evidence from a Middle Eastern context. The study highlighted the urgent need for discipline-oriented mental health screening and targeted proactive interventions to deal with unsettled IG attitude within a higher education context. Full article

Background/Objectives: Extraintestinal pathogenic Escherichia coli (ExPEC) is a major pathogen that causes septicemia, meningitis, and polyserositis in pigs. The increasing prevalence of antimicrobial resistance and the diverse serotypes of ExPEC highlight the urgent need for broadly protective vaccines. Methods and Results: In this study, an OmpC epitope vaccine based on the T4 phage display system was developed and evaluated. Two B-cell epitopes (OmpC-1 and OmpC-2) were identified by bioinformatic analysis and displayed on recombinant T4 phages. Immunization induced strong antigen-specific IgG responses, with the OmpC-1-T4 group showing significantly higher antibody titers than the OmpC protein group. In the O11 serotype PCN033 challenge model, survival rates reached 100% in the OmpC-1-T4 group, 60% in the OmpC-2-T4 group, and approximately 80% in the OmpC protein group. In the O18 serotype 2103 challenge model, both recombinant phage groups had survival rates of approximately 60%, whereas all the mice in the OmpC protein group died within three days. OmpC-1-T4 immunization also significantly reduced bacterial loads in lung and brain tissues after PCN033 infection and decreased TNF-α and IL-6 expression in lung tissues, accompanied by reduced inflammatory infiltration and tissue damage. Conclusions: Overall, the T4 phage-displayed OmpC epitope vaccine induced strong humoral immunity and provided protection against different ExPEC serotypes. Among the candidates, OmpC-1-T4 showed superior immune protection, bacterial clearance, and inflammation control, supporting its potential as a vaccine candidate against porcine ExPEC infection. Full article

Anisakis simplex allergens are highly resistant to conventional processing, posing a health risk that limits the use of infested fish both for human consumption and for animal feed. To assess the safety and nutritional value of viscera silage, hake (Merluccius merluccius) viscera were processed with formic acid and stored for four months. Two experimental diets were prepared—one containing silage and another with untreated viscera—alongside a commercial control feed. Juvenile gilthead seabreams (Sparus aurata) were fed these diets for 86 days, and growth performance, muscle composition, and allergenicity were analysed. All groups achieved more than 20% weight gain, and the silage-fed fish showed the lowest residual allergenicity (15.3%), compared to the fish fed untreated viscera (24%) and commercial feed (21.9%). Silage processing caused extensive protein hydrolysis, reducing high-molecular-weight proteins, though some IgE-reactive fragments remained. Proteomic analysis detected only seabream structural and metabolic proteins, with no confirmed Anisakis allergens. These findings indicate that silage produced from Anisakis-infested viscera should not pose a higher risk to consumers than the fishmeal used in aquaculture feeds and could support the valorisation of currently discarded fish viscera. Full article

Objectives: The World Health Organization (WHO) goal of eradicating hepatitis C virus (HCV) infection by 2030 has encouraged healthcare providers to implement proactive strategies to improve diagnosis and treatment. The aims of this retrospective cohort study were to assess a program designed to improve the HCV care cascade and facilitate access to treatment, within a national healthcare provider in Israel, Maccabi Healthcare Services (MHS). Methods: Included were adult patients newly diagnosed with HCV infection before and after the implementation of a screening and care optimization program. Patients diagnosed in 2017 served as the reference group (RG), while those diagnosed in 2019 (following the program implementation) comprised the intervention group (IG). Study outcomes included completion of HCV laboratory testing, time to consultation with gastroenterologist/hepatologist (GE), and initiation of treatment with direct-acting antivirals (DAAs). Results: The study sample included 356 HCV Ab+ patients in the RG (median age = 46 years; 41% females), and 328 in the IG (median age = 48 years; 39% females). Compared to RG, IG demonstrated higher rates of patient visiting GE visit (78.1% vs. 63%) and initiating DAA treatment (66.3% vs. 35.5%). Conclusions: Implementation of a restructured HCV care cascade was associated with a greater proportion of patients receiving expert consultation and higher DAA treatment uptake, important steps towards HCV eradication. Full article

Since coming into full operation in 2020, the BeiDou-3 Navigation Satellite System (BDS-3) has provided global users with positioning, navigation and time-synchronization services. Satellite clock bias is a key factor that affects real-time precise point positioning (PPP), precise orbit determination and the optimization of navigation message parameters; high-precision prediction of clock bias is therefore critical for improving the accuracy and reliability of BDS-3. To further enhance the prediction accuracy and stability of satellite clock bias, we propose a hybrid model based on Mamba-LSTM. This combined model leverages the strengths of the Multimodal Adaptive Model Building Algorithm (Mamba) and the Long Short-Term Memory neural network (LSTM) to predict satellite clock bias. Using precise BDS-3 satellite clock bias data from the International GNSS Service (IGS), we carried out prediction experiments. First, we compared the proposed model’s predictive performance with that of the Mamba and LSTM models. In short-term (6 h) and long-term (24 h) prediction scenarios, the average prediction RMSE of Mamba-LSTM improved by approximately 41.7% and 48% relative to Mamba, and by approximately 50.4% and 54.7% relative to the LSTM results, respectively. Next, we ran comparison experiments against traditional neural networks—the BP model and the CNN model. In mid-term (12 h) and long-term (24 h) prediction scenarios, the average prediction RMSE of Mamba-LSTM improved by approximately 59.6% and 63.1% compared with BP, and by approximately 52.4% and 56.2% compared with CNN, respectively. The results indicate that the Mamba-LSTM hybrid model can significantly improve the accuracy and stability of satellite clock bias prediction. Full article

Background and Clinical Significance: Chromothripsis represents a catastrophic genomic event in plasma cell myeloma (PCM) associated with poor prognosis. We report a case of newly diagnosed PCM with complex cytogenetic abnormalities indicative of genomic instability. Case Presentation: A 67-year-old man presented with acute dyspnea and was found to have severe acute kidney injury, anemia, hypercalcemia, and IgG lambda monoclonal gammopathy. Bone marrow biopsy revealed plasma cell infiltration. Comprehensive FISH analysis demonstrated a complex pattern with gain of 1q, monosomy 13, and multiple numeric and structural abnormalities affecting chromosomes 5, 9, and 15, suggestive of a chromothripsis-like pattern. Despite requiring hemodialysis, the patient achieved complete renal recovery and >99% reduction in serum-free light chains after one cycle of CyBorD plus daratumumab, which was continued for four cycles. Follow-up bone marrow evaluation at three months confirmed complete histologic, flow cytometric, and cytogenetic remission, allowing for preparation for autologous stem cell transplantation. Conclusions: This case demonstrates that exceptional clinical responses can be achieved in high-risk disease with contemporary quadruplet regimens. While the long-term durability of such responses in genomically unstable cases remains uncertain, this case highlights the importance of comprehensive cytogenetic characterization to identify and monitor genomic instability in PCM. Full article

Background and Objectives: Healthcare workers are at heightened risk of SARS-CoV-2 infection. Understanding the duration and protective value of vaccine-induced immunity is critical to inform booster strategies. This study investigates longitudinal dynamics of anti-SARS-CoV-2 receptor-binding domain IgG (anti-RBD IgG) antibodies and their association with infection risk among vaccinated healthcare workers. Materials and Methods: A prospective cohort study was conducted at Vilnius University Hospital Santaros Klinikos, Lithuania. A total of 1778 healthcare workers who completed a primary COVID-19 vaccination series were followed. Blood samples were collected every three months to measure anti-RBD IgG levels. Participants also received up to three booster doses. COVID-19 was identified by PCR, antigen tests, or positive anti-nucleocapsid IgG. For serologically detected cases, infection timing was assigned to the interval between study visits. Antibody dynamics were analyzed across vaccination stages, time, age groups, and circulating SARS-CoV-2 variants. Results: Anti-RBD IgG titers peaked in the first quarter after primary vaccination (mean 7904 AU/mL), declined sharply by quarters 2–3, and rose substantially after booster doses. Following the first booster, titers increased to ~12,598 AU/mL in quarter 1 and continued rising through quarter 3. The highest levels were observed after the second booster (24,456 AU/mL in Q1), followed by gradual decline. A high-titer plateau persisted from quarters 6 to 9 (~21,000 AU/mL), followed by decline in quarters 10–11 and partial rebound in Q12. Approximately 49.6% of participants experienced COVID-19 during follow-up. Antibody response patterns were similar across age groups, with only minor transient differences. Conclusions: COVID-19 booster doses significantly enhance and prolong humoral immunity in healthcare workers compared with the primary vaccination series. However, antibody waning over time emphasizes the need for timely boosters, particularly during periods of variant circulation. These findings support continued booster vaccination and monitoring of long-term immune protection, although anti-RBD IgG should be interpreted as a surrogate marker of humoral rather than overall immunity. Full article

Exposure to airborne pollen allergens is a major trigger of respiratory allergy, whose prevalence continues to rise throughout Europe. In southern Portugal, the Mediterranean climate and extensive vegetation diversity promote high pollen loads, particularly from the Amaranthaceae family. This retrospective observational study aimed to characterise the sensitisation profiles of patients with positive skin prick tests (SPTs) to Chenopodium album and/or Salsola kali, the dominant Amaranthaceae species in the region. Data from 346 patients were analysed, including demographic and clinical characteristics, SPT results, and specific IgE sensitisation to molecular allergens. Of these, 35% were positive for C. album only, 13% for S. kali only, and 51% for both. In molecular testing, 54% of S. kali-sensitised patients were positive to Sal k 1, whereas only 4% of C. album-sensitised patients were positive to Che a 1. Sensitisation to panallergens such as profilins and Ole e 1-like proteins was frequent, suggesting extensive IgE cross-reactivity between these taxa. A significant correlation in wheal size (r = 0.53, p < 0.0001) further supports shared allergenic determinants. Despite higher SPT positivity to C. album, S. kali is likely the predominant sensitising source in this population. These findings highlight the importance of molecular-based diagnostics to distinguish genuine sensitisation from cross-reactivity in Mediterranean settings. Full article

Background: Measles remains a significant occupational hazard in healthcare settings. In the context of the 2017–2018 measles outbreak in Greece and amid an outbreak at the study hospital, this seroprevalence study aimed to identify gaps in measles serologic status among healthcare workers in a tertiary hospital in central Greece. Methods: We conducted a seroprevalence study among hospital employees between February and December 2017. Blood samples and data on sociodemographic and work-related characteristics were collected from a convenience sample of participants. Measles IgG and IgM antibodies were measured using the ELISA method to determine seropositivity. The 95% CIs for measles IgG seronegativity proportions were calculated using the Clopper–Pearson exact method. Associations between participant characteristics and measles antibody status were assessed using Firth’s penalized logistic regression models. Results: A total of 336 healthcare workers participated in the study (response rate: 24.9%). Overall, 5.4% (95% CI: 3.2–8.3) tested negative for measles IgG antibodies. No significant associations were observed between participants’ characteristics and measles IgG antibody status. Male participants had 15.8 times higher adjusted odds of testing positive for measles IgM antibodies compared with female participants (aOR: 15.8; 95% CI: 2.33–107.54; p = 0.005). Conclusions: Our results indicate a low—but not negligible—proportion of IgG measles seronegativity among participants. The detection of seronegative individuals born prior to 1970 challenges the assumption of universal natural immunity based solely on year of birth. Given the recent rise in measles outbreaks and the limited seroprevalence data among healthcare workers in Greece, these findings provide valuable data to support ongoing efforts to achieve full vaccination coverage in this group. Further research is warranted to investigate the observed sex differences in susceptibility to measles infection. Full article

Background: Atopic dermatitis (AD) is a chronic inflammatory skin disease linked to epidermal barrier dysfunction, Th2-skewed immune polarization, and disrupted gut microbiota homeostasis. While probiotic interventions show promise in managing AD, the mechanisms governing strain-specific efficacy—particularly systemic modulation via the “gut–skin axis”—remaining to be fully elucidated. Methods: This study systematically compared the oral therapeutic effects of three Lacticaseibacillus rhamnosus strains (MG-A047, MG-A054, and LGG) in a 2,4-dinitrochlorobenzene (DNCB)-induced AD mouse model. Results: By integrating behavioral, histopathological, and serological assessments with 16S rRNA-based gut microbiota profiling and in vitro functional assays, this study offers a multidimensional evaluation of the strain-specific advantages and potential therapeutic mechanisms of three L. rhamnosus strains. The results demonstrate that MG-A054 most effectively alleviated cutaneous inflammation and pruritus, significantly reduced serum IgE and IL-4 levels, and attenuated epidermal hyperplasia and inflammatory cell infiltration (including mast cells and eosinophils). Mechanistically, this strain may directly inhibit hyaluronidase activity and mast cell degranulation, and specifically remodel the gut microbiota structure, thereby promoting a shift toward a healthier functional profile. Conclusions: These findings suggest that the superior efficacy of MG-A054 may be achieved through coordinated modulation of the gut–skin axis and related pathways. This study offers new mechanistic clues for understanding the strain-specific actions of probiotics and lays a preclinical foundation for the further development of MG-A054 as a potential targeted microecological therapy for AD. Full article

This study was conducted to investigate the effects of dietary supplementation with rumen-protected arginine (RP-Arg) on growth performance, rumen fermentation parameters, microbial diversity, and blood physiological and biochemical indices in fattening Altay sheep. A total of 24 healthy, 6-month-old Altay male lambs were randomly assigned to three groups, with eight replicates per group. The control group received a basal diet, while the experimental groups were supplemented with either 0.50% or 1.00% RP-Arg on a dry matter basis, respectively. The results indicated that RP-Arg supplementation had no significant effect on feed intake, growth performance, or slaughter performance of the lambs (p > 0.05), whereas backfat thickness decreased linearly (p < 0.05). With increasing RP-Arg levels, serum low-density lipoprotein cholesterol, leptin, and catalase activity increased linearly (p < 0.05), while blood ammonia, alanine aminotransferase, and Ig M exhibited a significant quadratic increase (p < 0.05). RP-Arg supplementation led to a linear decrease in ruminal propionate and valerate concentrations (p < 0.05). Analysis of bacterial diversity revealed that the class Vampirivibrionia and the order Gastranaerophilales were biomarkers for the 0.50% RP-Arg group, while several taxa within the phyla Proteobacteria and Thermoplasmatota served as biomarkers for the 1.00% RP-Arg group. In summary, although supplementation of a forage-based diet with RP-Arg partially modified rumen microbial composition and fermentation profile, and regulated several blood biochemical parameters, it did not translate into any beneficial effects on growth performance. Larger-scale studies are therefore warranted to further elucidate the role of RP-Arg in fattening lambs. Full article

Satellite clock bias (SCB) is a critical error source affecting the positioning and timing accuracy of Global Navigation Satellite Systems (GNSSs). The conventional back propagation neural network (BP) model, when applied to SCB prediction, is prone to local optima and exhibits rapid error divergence. To address these limitations, this study proposes and investigates two enhanced BP models: one optimized by the genetic algorithm (GA) and another by the mind evolutionary algorithm (MEA). A comprehensive comparative analysis is conducted against the standard BP model. Experiments utilize precise clock products from the International GNSS Service (IGS), with data from six representative satellites featuring different atomic clock types (IIR, IIR-M, IIF rubidium, and cesium clocks). The models are trained on 24 h of historical data and evaluated by forecasting clock biases for 2, 6, 12, and 24 h ahead. Prediction accuracy is assessed using root mean square error (RMS), range, and mean error. The results demonstrate that optimization algorithms significantly improve the BP neural network’s performance. The genetic algorithm optimized back propagation neural network (GABP) model demonstrates comprehensive superiority, achieving the highest accuracy across all forecast horizons and satellite types. For instance, in 24 h predictions, the average RMS error of the GABP model (6.516 ns) is merely 10.9% of the standard BP model’s error. Notably, for the cesium clock on satellite G24, the GABP model’s 24 h RMS (1.600 ns) is approximately 23 times lower than that of the mind evolutionary algorithm optimized back propagation neural network (MEABP) model. The GABP model also shows strong adaptability, maintaining high precision for both rubidium and cesium clocks and exhibiting gradual error growth with extended forecast duration, indicating excellent generalization and resistance to overfitting. To further evaluate generalization across different seasons and time periods, additional experiments were conducted using data from February–March, June, and October 2021 on six different satellites. The results consistently show that GABP outperforms MEABP and BP across all tested conditions. While the MEABP model outperforms the standard BP, it shows limitations in long-term forecasts, particularly for cesium clocks, due to tendencies for premature convergence and sensitivity to data noise. In conclusion, the GABP model, leveraging the robust global optimization capability of the genetic algorithm is validated as a highly effective and reliable solution for high-accuracy short- and long-term satellite clock bias prediction. Full article