Objective: To analyze respiratory syncytial virus(RSV) outbreaks surveillance results and the epidemiological characteristics in kindergarten and school in Shenzhen during 2017-2023 , so as to provide a scientific reference for control and prevention of RSV. Methods: Epidemiological data and surveillance results of RSV outbreaks in kindergarten and school from 2017 to 2023 were collected for descriptive analyses. Results: A total of 31 RSV outbreaks were identified in kindergarten and school in 2017-2023 in Shenzhen, 346 cases were reported, the average incidence rate was 22.02%. The most annual RSV outbreaks were reported in 2020 with 14 outbreaks, followed by 8 outbreaks in 2023. A total of 64.52% of RSV outbreaks were identified in kindergarten with rest occurring in primary school or middle school. The greatest monthly count of outbreak was 18 (58.06%) in September, followed by 3 outbreaks (9.68%) in March and October. A total of 244 swab samples were collected, 169 samples were positive for respiratory viruses, the positive rate was 69.26%, 121 samples were positive for RSV,from 31 respiratory syncytical virus outbreaks 57 and samples were positive for other respiratory viruses(9 samples were positive for two respiratory viruses). A toral of 14(45.16%) outbreaks are caused by RSV alone, 17 outbreaks (54.84%) were caused by RSV and other respiratory viruses. Conclusions Most RSV outbreaks in kindergarten and school are reported after 2020 in Shenzhen, most RSV outbreaks occur in kindergarten, peak seasons of RSV outbreaks are autumn and spring.

Objective To investigate how culture duration affects the expression of immune membrane proteins in human monocyte-derived dendritic cells (DCs) and their exosomes (DEXs). Methods Human monocytes were induced with recombinant granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin 4 (IL-4) to differentiate into DCs and were subsequently matured with tumor necrosis factor α(TNF-α). Exosomes were isolated by ultracentrifugation, and DEXs were identified by transmission electron microscopy and Amnis imaging flow cytometry, which were also used to quantify the expression of immune membrane proteins on DCs and DEXs. Results On the 10th day of culture, DCs displayed high surface expression of CD11c, CD80, CD86, major histocompatibility complex class I (MHC-I), and MHC-II. Expression peaked at day 18(CD11c: 78.66%±20.33%, CD80: 76.41%±10.02%, CD86: 96.43%±0.43%, MHC-I: 84.71%±2.96%, MHC-II: 80.01%±7.03%). After day 24, the overall expression showed a declining trend, with statistically significant differences observed for all markers except CD80 and MHC-II. By day 30, 80% of the DCs still expressed CD80, CD86, and MHC-II. The expression of immune membrane proteins on DEX surfaces also reached its peak on day 18, followed by an overall decline with prolonged culture time, with statistically significant differences observed for all markers except CD80. Correlation analysis revealed a significant positive relationship between the expression levels of immune membrane proteins on DC and DEX surfaces (CD11c: r=0.98; CD80: r=0.65; CD86: r=0.82; MHC-I: r=0.86; MHC-II: r=0.93). Conclusion Human monocyte-derived DCs in vitro express high expression of immune membrane proteins and maintain stable expression over a specific period. The exosomes secreted by these cells similarly demonstrate high surface expression of immune membrane proteins, with temporal trends aligned with those of the parent DCs.
Humans ; Dendritic Cells/immunology* ; Exosomes/immunology* ; Monocytes/metabolism* ; Cells, Cultured ; Time Factors ; B7-1 Antigen/metabolism* ; Membrane Proteins/immunology* ; Cell Culture Techniques/methods* ; B7-2 Antigen/metabolism* ; Cell Differentiation ; CD11c Antigen/metabolism* ; Granulocyte-Macrophage Colony-Stimulating Factor/pharmacology*

Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

Negative logarithm of the acid dissociation constant (pK _a) significantly influences the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of molecules and is a crucial indicator in drug research. Given the rapid and accurate characteristics of computational methods, their role in predicting drug properties is increasingly important. Although many pK _a prediction models currently exist, they often focus on enhancing model precision while neglecting interpretability. In this study, we present GraFpK _a, a pK _a prediction model using graph neural networks (GNNs) and molecular fingerprints. The results show that our acidic and basic models achieved mean absolute errors (MAEs) of 0.621 and 0.402, respectively, on the test set, demonstrating good predictive performance. Notably, to improve interpretability, GraFpK _a also incorporates Integrated Gradients (IGs), providing a clearer visual description of the atoms significantly affecting the pK _a values. The high reliability and interpretability of GraFpK _a ensure accurate pK _a predictions while also facilitating a deeper understanding of the relationship between molecular structure and pK _a values, making it a valuable tool in the field of pK _a prediction.

With the rapid development of population aging in various countries around the world,the health and elderly care industry has been paid high attention.The standardization of smart health and elderly care technology and services is particularly important.This paper firstly reviewed the policies related to healthy elderly care in China.By analyzing the industrial standards and provincial standards issued,this paper focused on the policies proposed by the Shanghai Municipal Government for the standardization of smart health and elderly care,as well as the researches on the standard system and the construction of standard families.Shanghai group standards in the field of smart health and elderly care were summarized,including the guidelines for the construction of standard systems,elderly care service platforms,community elderly cafeterias,portable health monitoring terminals,indoor sports services,and home-based elderly care safety monitoring.A series of case analyses of the standardized implementation of the above aspects were also provided.Through standardization research and practice in recent years,it has been fully demonstrated that the standard research plays an important leading role in the field of smart health and elderly care.

Negative logarithm of the acid dissociation constant(pKa)significantly influences the absorption,dis-tribution,metabolism,excretion,and toxicity(ADMET)properties of molecules and is a crucial indicator in drug research.Given the rapid and accurate characteristics of computational methods,their role in predicting drug properties is increasingly important.Although many pKa prediction models currently exist,they often focus on enhancing model precision while neglecting interpretability.In this study,we present GraFpKa,a pKa prediction model using graph neural networks(GNNs)and molecular finger-prints.The results show that our acidic and basic models achieved mean absolute errors(MAEs)of 0.621 and 0.402,respectively,on the test set,demonstrating good predictive performance.Notably,to improve interpretability,GraFpKa also incorporates Integrated Gradients(IGs),providing a clearer visual description of the atoms significantly affecting the pKa values.The high reliability and interpretability of GraFpKa ensure accurate pKa predictions while also facilitating a deeper understanding of the relation-ship between molecular structure and pKa values,making it a valuable tool in the field of pKa prediction.

Objective To understand the current status and influencing factors of patient perception for humanistic care in China hospitals,and to provide a basis for developing nursing humanistic care measures and improving the quality of nursing humanistic care services.Methods A total of 30,099 outpatients and inpatients from 107 hospitals in 30 provinces(autonomous regions and municipalities)from July to August 2022 as survey subjects.A general information questionnaire and the Relational Caring Questionnaire-Patient Form were used for a cross-sectional survey,and a single-factor analysis was used to analyze the influencing factors of patient relationship care.Results Finally,29 108 valid questionnaires were collected,and the effective questionnaire recovery rate was 96.7％.The patient evaluation of relationship care was(65.72±8.61)points.Single-factor analysis showed that gender,age,marital status,children's situation,education level,occupation,place of residence,average family income,medical insurance type,visiting department,and location of the visiting hospital,and whether or not surgery were influencing factors of patient relationship care(P＜0.05).Conclusion The evaluation score of caregiver-patient relationship care among Chinese hospital patients is above average,but there is still room for improvement in western and rural regions,seriously ill and outpatient patients,low-income and low-medical insurance reimbursement populations,and non-surgical patients.Medical institutions at all levels should optimize and improve nursing humanistic care services based on influencing factors,and further enhance patients'perception of nursing humanistic care.

Chronic obstructive pulmonary disease(COPD)is a group of lung diseases characterized by persistent airflow limitation, often accompanied by chronic hypoxia. This chronic hypoxia can lead to structural and functional changes in the walls of blood vessels throughout the body, causing vascular injury and altered vascular reactivity. The retina and choroid are key ocular structures with rich blood supply and are particularly prone to microstructural changes due to ischemia and hypoxia. Optical coherence tomography(OCT), an ideal tool for observing these microstructural changes, serves as a non-invasive method for assessing retinal microstructures and microvascular pathology. Currently, there is a lack of comprehensive reviews summarizing OCT-based morphological changes in the eyes of COPD patients. This paper provides an in-depth review of existing studies on ocular OCT in COPD patients, focusing on structural and blood flow changes in the retina and choroid. The primary goal of this review is to summarize the impact of COPD on ocular microstructures, explore the underlying mechanisms of these morphological changes, and offer new perspectives for assessing eye diseases in COPD patients.

Objective This study aims to investigate the impact of cultivation time on dendritic cells(DCs)and their derived exosomes′ expression of immune-related membrane proteins(CD80,MHC-Ⅰ,MHC-Ⅱ)and provides experimental evidence for future research.Methods Mouse bone marrow cells were induced to differentiate into DCs using GM-CSF and IL-4,followed by maturation stimulation withTNF-α.Exosomes were extracted using ultracentrifugation.Western blot and Amnis image flow cytometry were used to identify exosomes derived from mouse DCs.Amnis image flow cytometry was used to detect the expression of immune-related proteins CD80,CD11c,MHC-Ⅰ,and MHC-Ⅱ in mouse DCs and their exosomes.Results After 5 days of in vitro cultivation,more than 50%of dendritic cells expressed CD80,CD11c,MHC-Ⅰ,and MHC-Ⅱ,reaching the highest level on day 13.The positivity rates were as follows:CD80(97.29±0.63)%,CD11c(92.31±1.18)%,MHC-Ⅰ(97.91±0.49)%,and MHC-Ⅱ(97.91±0.49)%.The differences were statistically significant(P<0.001).The expression gradually decreased after day 13,but approximately 80%of DC cells still expressed MHC-Ⅰ and MHC-Ⅱ immune molecules on day 30.The expression levels of CD80,CD11c,and MHC-Ⅱ on the exosome membrane were highest on day 5 and then decreased overall with prolonged cultivation time,except for MHC-Ⅰ molecules.The differences were statistically significant(P<0.01).Conclusions In vitro-cultured mouse dendritic cells express high levels of immune-related membrane proteins and can be stably maintained for a long time under suitable culture conditions.The secreted exosomes also carry abundant immune-related membrane proteins,but no significant correlation was found between the immune-related proteins on the dendritic cell surface and the exosome membrane surface.

Atmospheric fine particulate matter (particulate matter 2.5,PM_2.5) is a major component of haze, and its potential hazards to human reproductive health have garnered widespread attention. Establishing appropriate animal models is crucial for in-depth research into the reproductive toxicity of PM_2.5 exposure and its underlying mechanisms. This paper, based on recent literature, summarizes current methods for establishing PM_2.5-exposed animal models and the evaluation criteria for reproductive toxicity research. The primary modeling methods for PM_2.5 exposure include whole-body inhalation exposure and intratracheal instillation exposure. While whole-body inhalation exposure effectively simulates real-life human inhalation environments, it requires sophisticated experimental equipment. Conversely, intratracheal instillation exposure is more cost-effective and easier to operate but faces challenges in accurately mimicking the distribution and deposition of PM_2.5 during natural inhalation. Therefore, researchers must carefully weigh these exposure methods to enhance model rigor and achieve the most realistic simulation of human exposure conditions. When summarizing the application evaluation indicators of PM_2.5-induced reproductive toxicity, this review finds that the main indicators of male reproductive toxicity include reduced sperm quality, testicular tissue damage, and hormonal imbalances. For female reproductive toxicity, the primary indicators are reduced ovarian reserve, endocrine dysfunction, endometrial damage, and adverse perinatal reactions. Additionally, this review highlights the need for detailed chemical composition analysis of PM_2.5, exploring the reproductive toxic targets and mechanisms of particles containing different chemical components, such as heavy metals and polycyclic aromatic hydrocarbons. Long-term studies are also necessary to assess the effects of PM_2.5 exposure on reproductive health and transgenerational effects, to predict potential long-term risks for humans. Additionally, interdisciplinary collaboration should be encouraged, involving cooperation between environmental science, toxicology, reproductive medicine, and other disciplines, to comprehensively assess the environmental health risks of PM_2.5 and provide scientific support for the development of integrated prevention and control strategies. This review summarizes animal modeling methods, evaluation criteria, and their applications, providing valuable methodological references for future reproductive toxicity research on PM_2.5.