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Grass carp reovirus (GCRV) infections and hemorrhagic disease (GCHD) outbreaks are typically seasonally periodic and temperature-dependent, yet the molecular mechanism remains unclear. Herein, we depicted that temperature-dependent IL-6/STAT3 axis was exploited by GCRV to facilitate viral replication via suppressing type â IFN signaling. Combined multi-omics analysis and qPCR identified IL-6, STAT3, and IRF3 as potential effector molecules mediating GCRV infection. Deploying GCRV challenge at 18 °C and 28 °C as models of resistant and permissive infections and switched to the corresponding temperatures as temperature stress models, we illustrated that IL-6 and STAT3 expression, genome level of GCRV, and phosphorylation of STAT3 were temperature dependent and regulated by temperature stress. Further research revealed that activating IL-6/STAT3 axis enhanced GCRV replication and suppressed the expression of IFNs, whereas blocking the axis impaired viral replication. Mechanistically, grass carp STAT3 inhibited IRF3 nuclear translocation via interacting with it, thus down-regulating IFNs expression, restraining transcriptional activation of the IFN promoter, and facilitating GCRV replication. Overall, our work sheds light on an immune evasion mechanism whereby GCRV facilitates viral replication by hijacking IL-6/STAT3 axis to down-regulate IFNs expression, thus providing a valuable reference for targeted prevention and therapy of GCRV.
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Carpas , Doenças dos Peixes , Interferon Tipo I , Interleucina-6 , Infecções por Reoviridae , Reoviridae , Fator de Transcrição STAT3 , Transdução de Sinais , Replicação Viral , Animais , Doenças dos Peixes/imunologia , Doenças dos Peixes/virologia , Interleucina-6/genética , Interleucina-6/imunologia , Interleucina-6/metabolismo , Infecções por Reoviridae/imunologia , Infecções por Reoviridae/veterinária , Reoviridae/fisiologia , Carpas/imunologia , Carpas/genética , Fator de Transcrição STAT3/genética , Fator de Transcrição STAT3/metabolismo , Fator de Transcrição STAT3/imunologia , Transdução de Sinais/imunologia , Interferon Tipo I/imunologia , Interferon Tipo I/genética , Proteínas de Peixes/genética , Proteínas de Peixes/imunologia , Imunidade Inata/genéticaRESUMO
INTRODUCTION: The aim of this study was to investigate the causal relationship between Parkinson's disease (PD) and myocardial infarction (MI), atrial fibrillation and flutter (AF), and venous thromboembolism (VTE) by Mendelian randomization (MR) analysis. METHODS: By using data from publicly available genome-wide association studies from databases, single nucleotide polymorphisms were screened as instrumental variables, and the MR analysis was finished by inverse-variance weighted (IVW), MR-egger, weighted median methods. RESULTS: The primary IVW method showed a negative association between genetically predicted PD and risk of MI (OR = 0.9989; 95% CI: 0.9980-0.9998; p = 0.02). However, PD was not significantly associated with AF or VTE. CONCLUSION: This study suggests a negative association between PD with MI, which implies that PD has a protective effect on MI.
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Doença de Parkinson , Doenças Vasculares , Tromboembolia Venosa , Humanos , Estudo de Associação Genômica Ampla , Análise da Randomização Mendeliana , Doença de Parkinson/complicações , Doença de Parkinson/genética , Polimorfismo de Nucleotídeo Único/genéticaRESUMO
BACKGROUND: Promoting patient participation stands as a global priority in nursing care. Currently, there is a lack of a standardized tool to assess the culture of patient participation from the perspective of nurses in China. AIMS: To translate and examine the validity and reliability of the Patient Participation Culture Tool for healthcare workers (PaCT-HCW) on general hospital wards in Chinese nursing context. METHODS: A cross-sectional research study was conducted among 812 nurses. Brislin's recommendations were adhered to during the translation of the scale. Validity was assessed using construct validity, content validity, and face validity. Split-half reliability, test-retest reliability, and internal consistency reliability were used to evaluate dependability. The study was guided and reported following the STROBE checklist and recommendations for reporting the results of studies of instrument and scale development and testing. RESULTS: The Chinese version of PaCT-HCW (the PaCT-HCW-C) exhibits good face validity and content validity. A rigorous exploratory factor analyse verified a six-factor (competence, support, perceived lack of time, information sharing and dialogue, response to questions and acceptance of a new role) scale structure with a cumulative variance contribution of the factors with 44 items of 68.840%. With a Cronbach's α coefficient of 0.962, split-half reliability of 0.866, and intraclass correlation coefficients of 0.989, the instrument demonstrates great reliability. Confirmatory factor analysis results validated the consistency of the six factors with the structure of the PaCT-HCW-C scale. CONCLUSIONS: The 44-item PaCT-HCW-C is a valid and reliable instrument with satisfactory psychometric properties. It could serve as a tool for assessing the effectiveness of international programs aimed at fostering patient participation from the perspective of nurses, while also providing insights from China's practical experiences.
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OBJECTIVE: To synthesize the effects of educational intervention on the screening rate of first-degree relatives of cancer patients. METHODS: A total of eight Chinese and English databases were searched (PubMed, Embase, Cochrane Library, CINAHL, Web of Science, Scopus, Medline and China Biology Medicine disc) from the time of library establishment to June 2023, for randomized controlled trials investigating the effects of educational intervention on screening rate of first-degree relatives of cancer patients. Two researchers independently screened and evaluated the quality of studies. RevMan 5.3 software was used to calculate the pooled effect size. RESULTS: Thirteen studies involving 5628 participants were chosen to include in the meta-analysis. The results revealed that health education can increase screening rate of first-degree relatives of cancer patients (RR = 1.39, 95% CI = 1.16-1.65, P = 0.0002). The effect shown after short-term follow-up (≤6 months) was insignificant in terms of improving screening rate (RR = 1.46, 95% CI = 0.94-2.26, P = 0.09), but after long-term follow-up (ï¼6 months) the improvement was greater (RR = 1.37, 95% CI = 1.13-1.65, P = 0.002). CONCLUSION: Health education is effective in increasing the screening rate of first-degree relatives of cancer patients. The effect is more evident after long-term than short-term follow-up.
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Detecção Precoce de Câncer , Família , Educação em Saúde , Neoplasias , Humanos , Neoplasias/genética , Neoplasias/diagnóstico , Detecção Precoce de Câncer/métodos , Detecção Precoce de Câncer/estatística & dados numéricos , Ensaios Clínicos Controlados Aleatórios como Assunto , Programas de Rastreamento/estatística & dados numéricos , Programas de Rastreamento/métodosRESUMO
Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the most common cause of dementia in the elderly worldwide. The exact etiology of AD, particularly its genetic mechanisms, remains incompletely understood. Traditional genome-wide association studies (GWAS), which primarily focus on single-nucleotide polymorphisms (SNPs) with main effects, provide limited explanations for the "missing heritability" of AD, while there is growing evidence supporting the important role of epistasis. In this study, we performed a genome-wide SNP-SNP interaction detection using a linear regression model and employed multiple GPUs for parallel computing, significantly enhancing the speed of whole-genome analysis. The cerebrospinal fluid (CSF) phosphorylated tau (P-tau)/amyloid-[Formula: see text] (A[Formula: see text]) ratio was used as a quantitative trait (QT) to enhance statistical power. Age, gender, and clinical diagnosis were included as covariates to control for potential non-genetic factors influencing AD. We identified 961 pairs of statistically significant SNP-SNP interactions, explaining a high-level variance of P-tau/A[Formula: see text] level, all of which exhibited marginal main effects. Additionally, we replicated 432 previously reported AD-related genes and found 11 gene-gene interaction pairs overlapping with the protein-protein interaction (PPI) network. Our findings may contribute to partially explain the "missing heritability" of AD. The identified subnetwork may be associated with synaptic dysfunction, Wnt signaling pathway, oligodendrocytes, inflammation, hippocampus, and neuronal cells.
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Doença de Alzheimer , Humanos , Idoso , Doença de Alzheimer/genética , Doença de Alzheimer/líquido cefalorraquidiano , Epistasia Genética , Endofenótipos , Peptídeos beta-Amiloides/genética , Peptídeos beta-Amiloides/líquido cefalorraquidiano , Estudo de Associação Genômica Ampla , Proteínas tau/genética , Proteínas tau/líquido cefalorraquidiano , Biomarcadores/líquido cefalorraquidiano , Fragmentos de Peptídeos/genéticaRESUMO
Millions of tons of plastics enter the oceans yearly, and they can be fragmented by ultraviolet and mechanical means into nanoplastics. Here, we report the direct observation of nanoplastics in global ocean water leveraging a unique shrinking surface bubble deposition (SSBD) technique. SSBD involves optically heating plasmonic nanoparticles to form a surface bubble and leveraging the Marangoni flow to concentrate suspended nanoplastics onto the surface, allowing direct visualization using electron microscopy. With the plasmonic nanoparticles co-deposited in SSBD, the surface-enhanced Raman spectroscopy effect is enabled for direct chemical identification of trace amounts of nanoplastics. In the water samples from two oceans, we observed nanoplastics made of nylon, polystyrene, and polyethylene terephthalate-all common in daily consumables. The plastic particles have diverse morphologies, such as nanofibers, nanoflakes, and ball-stick nanostructures. These nanoplastics may profoundly affect marine organisms, and our results can provide critical information for appropriately designing their toxicity studies.
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Thin-film optical diodes are important elements for miniaturizing photonic systems. However, the design of optical diodes relies on empirical and heuristic approaches. This poses a significant challenge for identifying optimal structural models of optical diodes at given wavelengths. Here, we leverage a quantum annealing-enhanced active learning scheme to automatically identify optimal designs of 130 nm-thick optical diodes. An optical diode is a stratified volume diffractive film discretized into rectangular pixels, where each pixel is assigned to either a metal or dielectric. The proposed scheme identifies the optimal material states of each pixel, maximizing the quality of optical isolation at given wavelengths. Consequently, we successfully identify optimal structures at three specific wavelengths (600, 800, and 1000 nm). In the best-case scenario, when the forward transmissivity is 85%, the backward transmissivity is 0.1%. Electromagnetic field profiles reveal that the designed diode strongly supports surface plasmons coupled across counterintuitive metal-dielectric pixel arrays. Thereby, it yields the transmission of first-order diffracted light with a high amplitude. In contrast, backward transmission has decoupled surface plasmons that redirect Poynting vectors back to the incident medium, resulting in near attenuation of its transmission. In addition, we experimentally verify the optical isolation function of the optical diode.
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OBJECTIVES: To examine whether patients who had a stroke with high recurrence risk perception would have healthier behaviour and to explore whether perceived social support would function as a mediator. DESIGN: A cross-sectional study. SETTING: The study was conducted in a public tertiary hospital in China. PARTICIPANTS: A total of 254 patients with stroke were invited to participate, and 250 patients with stroke completed questionnaires validly. PRIMARY AND SECONDARY OUTCOME MEASURES: Questionnaires were administered offline to collect data, consisting of four parts: general demographics and scales related to recurrence risk perception, perceived social support, and health behaviour. A path analysis and correlation analysis were used to analyse the data. RESULTS: Out of 250 patients with stroke, 78.4% had moderately low health behaviour. The majority (70.8%) of these patients were elderly. High recurrence risk perception and high perceived social support were significantly associated with better health behaviour (all p<0.001). Perceived social support mediated the relationship between recurrence risk perception and health behaviour after controlling for age, gender, education and monthly income in the regression model (95% CI 0.263 to 0.460) and the effect value was 0.360. It was also confirmed that perceived social support had the highest mediation effect with a proportion of mediation up to 59.31%. CONCLUSIONS: Recurrence risk perception and perceived social support were influential factors in promoting health behaviour. Moreover, the impact of recurrence risk perception on health behaviour was partially mediated by perceived social support. Therefore, to enhance the sustainability of health behaviour, it is crucial to inform patients with stroke about the risk of recurrence. Patients with more perception of recurrence risk can improve their recovery confidence and thus perceive more social support.
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Comportamentos Relacionados com a Saúde , Acidente Vascular Cerebral , Humanos , Idoso , Estudos Transversais , Apoio Social , Percepção , China , Inquéritos e QuestionáriosRESUMO
Understanding the dynamics of surface bubble formation and growth on heated surfaces holds significant implications for diverse modern technologies. While such investigations are traditionally confined to terrestrial conditions, the expansion of space exploration and economy necessitates insights into thermal bubble phenomena in microgravity. In this work, we conduct experiments in the International Space Station to study surface bubble nucleation and growth in a microgravity environment and compare the results to those on Earth. Our findings reveal significantly accelerated bubble nucleation and growth rates, outpacing the terrestrial rates by up to ~30 times. Our thermofluidic simulations confirm the role of gravity-induced thermal convective flow, which dissipates heat from the substrate surface and thus influences bubble nucleation. In microgravity, the influence of thermal convective flow diminishes, resulting in localized heat at the substrate surface, which leads to faster temperature rise. This unique condition enables quicker bubble nucleation and growth. Moreover, we highlight the influence of surface microstructure geometries on bubble nucleation. Acting as heat-transfer fins, the geometries of the microstructures influence heat transfer from the substrate to the water. Finer microstructures, which have larger specific surface areas, enhance surface-to-liquid heat transfer and thus reduce the rate of surface temperature rise, leading to slower bubble nucleation. Our experimental and simulation results provide insights into thermal bubble dynamics in microgravity, which may help design thermal management solutions and develop bubble-based sensing technologies.
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This study investigated host responses to long COVID by following up with 89 of the original 144 cohorts for 1-year (N = 73) and 2-year visits (N = 57). Pulmonary long COVID, characterized by fibrous stripes, was observed in 8.7% and 17.8% of patients at the 1-year and 2-year revisits, respectively, while renal long COVID was present in 15.2% and 23.9% of patients, respectively. Pulmonary and renal long COVID at 1-year revisit was predicted using a machine learning model based on clinical and multi-omics data collected during the first month of the disease with an accuracy of 87.5%. Proteomics revealed that lung fibrous stripes were associated with consistent down-regulation of surfactant-associated protein B in the sera, while renal long COVID could be linked to the inhibition of urinary protein expression. This study provides a longitudinal view of the clinical and molecular landscape of COVID-19 and presents a predictive model for pulmonary and renal long COVID.
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Objective: To provide both empirical support and a theoretical framework for systematically improving and optimizing the cognitive capabilities of college students through physical activity, while considering the mediating and regulating impacts of self-efficacy and negative emotion. Methods: The study employed an overall random sampling method, examining 500 college students from five universities in Jiangsu Province using the Physical Activity Rating Scale (PARS-3), Adult Executive Function Scale (ADEXI), Positive and Negative Emotion Scale (PANAS), and General Self-Efficacy Scale (GSES). Results: The findings indicated that the average age of the participants was 18.41 ± 0.73 years, encompassing 215 male students (43%), and 185 female students (57%). Engagement in physical activity was significantly and positively correlated with executive function (ß = 0.246, p < 0.01), inversely associated with negative emotion (ß = -0.137, p < 0.01), and demonstrated a significant positive predictive impact on self-efficacy (ß = 0.183, p < 0.01). Self-efficacy was observed to partially mediate the relationship between executive function and physical activity. In addition, negative mood was identified as playing a partial mediating and modifying role in the relationship between executive function and physical activity. Conclusion: Increasing college students' daily physical activity participation not only benefits their executive function, self-efficacy, and confidence levels but also exerts a limited positive impact on negative mood, with the potential to regulate the intensity of negative emotion.