Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019 (COVID-19) survivors, few studies have focused on the effect of post-COVID-19 sleep disturbance (PCSD) on cognitive function. This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition. This cross-sectional study was conducted via the web-based assessment in Chinese mainland. Neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment (ICA) and the Number Ordering Test (NOT). Propensity score matching (PSM) was utilized to match the confounding factors between individuals with and without PCSD. Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function. The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression. A total of 8692 individuals with COVID-19 diagnosis were selected for this study. Nearly half (48.80%) of the COVID-19 survivors reported sleep disturbance. After matching by PSM, a total of 3977 pairs (7954 individuals in total) were obtained. Univariate analyses revealed that PCSD was related to worse ICA and NOT performance (P<0.05). Underlying disease, upper respiratory infection, loss of smell or taste, severe pneumonia, and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals (P<0.05). Furthermore, aging, ethnicity (minority), and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals (P<0.05). PCSD was related to impaired neurocognitive performance. Therefore, appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.
Humans ; COVID-19/epidemiology* ; Male ; Female ; Sleep Wake Disorders/epidemiology* ; Propensity Score ; Middle Aged ; Cross-Sectional Studies ; Adult ; SARS-CoV-2 ; Aged ; Risk Factors ; China/epidemiology* ; Cognition ; Cognitive Dysfunction/etiology* ; Neuropsychological Tests

Objective To explore the effects of camellia honey on intestinal inflammation and injury induced by a high-fat diet(HFD)in Drosophila.Methods A HFD model group of fruit flies was created by feeding with standard culture medium containing 30％lard.Each camellia honey groups were fed the same high-fat medium containing different concentrations of camellia honey.The body mass,eclosion rate,climbing ability,size of lipid droplets,and levels of intestinal reactive oxygen species in adult flies were measured and analyzed.Results Compared with the model group,each camellia honey groups showed significant improvements.Specifically,camellia honey ameliorated the following HFD-induced alterations:decline in eclosion rate,increase in pupal volume,increase in adult average body mass,decrease in adult climbing ability,enlargement of the lipid droplet area,elevation in intestinal ROS levels,and intestinal damage.Conclusions Camellia honey improved the growth and development,intestinal inflammation,and injury induced by a HFD in Drosophila.

Objective Analyze the epidemiological characteristics of respiratory virus infections in Kunming area during 2023-2024,and explore the detection rates of different virus types and their distribution patterns across different time periods and age groups.Methods A total of 10354 nasopharyngeal swab or sputum samples were retrospectively collected from patients with acute respiratory infections who visited the Third People's Hospital of Kunming City between March 2023 and June 2024.Multiple pathogens were detected using real-time fluorescent quantitative polymerase chain reaction(RT-qPCR)technology.A retrospective analysis was then conducted on the clinical laboratory detection results,statistically analyzing the overall detection rates of various respiratory viruses,multiple infection phenomena,gender differences,age distribution,seasonal variations,infection site differences,and monthly infection situations.Results Among the 10354 patient respiratory samples tested,3368 pathogen infections were detected,with a detection rate of 32.53%(3368/10354).204 patients presented with mixed infections of≥2 pathogens,with a mixed detection rate of 6.06%(204/3368).The single detection rate for females was significantly higher than males(P<0.001),and the multiple infection detection rate for males is significantly higher than females(P<0.05),indicating that males may have a higher risk of concurrent infections.Among different age groups,the virus detection rate was highest in the 5-18 years age group at 55.87%.Significant differences were observed in the detection rates of FluA,FluB,and SIV-H3 across different disease types(P<0.05).In March 2023,the detection rate was highest at 54.27%(5619/10354),with Influenza A virus(FluA)and seasonal influenza H3 subtype(SIV-H3)being the most detected pathogens.Conclusion In acute respiratory infection(ARI)cases in the Kunming area,FluA,FluB,and SIV-H3 were the primary viral pathogens,with the region's viral epidemic characteristics closely related to patient age stages,seasonal changes,and infection site factors.

Extensive epigenetic reprogramming involves in memory CD8+ T-cell differentiation. The elaborate epigenetic rewiring underlying the heterogeneous functional states of CD8+ T cells remains hidden. Here, we profile single-cell chromatin accessibility and map enhancer-promoter interactomes to characterize the differentiation trajectory of memory CD8+ T cells. We reveal that under distinct epigenetic regulations, the early activated CD8+ T cells divergently originated for short-lived effector and memory precursor effector cells. We also uncover a defined epigenetic rewiring leading to the conversion from effector memory to central memory cells during memory formation. Additionally, we illustrate chromatin regulatory mechanisms underlying long-lasting versus transient transcription regulation during memory differentiation. Finally, we confirm the essential roles of Sox4 and Nrf2 in developing memory precursor effector and effector memory cells, respectively, and validate cell state-specific enhancers in regulating Il7r using CRISPR-Cas9. Our data pave the way for understanding the mechanism underlying epigenetic memory formation in CD8+ T-cell differentiation.
CD8-Positive T-Lymphocytes/metabolism* ; Cell Differentiation ; Chromatin/immunology* ; Animals ; Mice ; Immunologic Memory ; Epigenesis, Genetic ; SOXC Transcription Factors/immunology* ; NF-E2-Related Factor 2/immunology* ; Mice, Inbred C57BL ; Gene Regulatory Networks ; Enhancer Elements, Genetic

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective To explore the effects of camellia honey on intestinal inflammation and injury induced by a high-fat diet(HFD)in Drosophila.Methods A HFD model group of fruit flies was created by feeding with standard culture medium containing 30％lard.Each camellia honey groups were fed the same high-fat medium containing different concentrations of camellia honey.The body mass,eclosion rate,climbing ability,size of lipid droplets,and levels of intestinal reactive oxygen species in adult flies were measured and analyzed.Results Compared with the model group,each camellia honey groups showed significant improvements.Specifically,camellia honey ameliorated the following HFD-induced alterations:decline in eclosion rate,increase in pupal volume,increase in adult average body mass,decrease in adult climbing ability,enlargement of the lipid droplet area,elevation in intestinal ROS levels,and intestinal damage.Conclusions Camellia honey improved the growth and development,intestinal inflammation,and injury induced by a HFD in Drosophila.

Objective To analyze the epidemiological characteristics and temporal spatial clustering of hand, foot, and mouth disease in Hubei Province from 2010 to 2023, and to provide evidence for formulating prevention and control measures. Methods Descriptive epidemiological method was used to analyze the surveillance data of hand, foot, and mouth disease of Hubei Province from 2010 to 2023, and spatial clustering analysis was conducted at the district/county level using ArcGIS 10.5 software. Results A total of 1 007 600 cases of hand, foot, and mouth disease were reported from 2010 to 2023, and the average annual incidence rate was 123.60/100 000. Overall , it exhibited a cyclical pattern of high incidence every other year. Except for a few years, two peaks of incidence were observed each year, , with the first peak occurring between April to July and the second occurring in October to December, and the popular season was concentrated from April to July. Children aged < 5 years were primarily affected, with a high incidence in male patients (1.53:1). The incidence of hand, foot, and mouth disease showed a positive spatial autocorrelation（Moran's I was between 0.15 to 0.76, P<0.05）at the district/county level. The hot spots were concentrated in the northwest and southeast of Hubei Province, and the cool spots were concentrated in the east of central Hubei Province. Conclusion The incidence of hand, foot, and mouth disease has obvious seasonality and spatial clustering in Hubei Province. The key prevention and control areas are concentrated in the northwest and southeast of Hubei. Enhanced prevention and control measures should be targeted on children under 5 years old and key areas to effectively reduce the occurrence of cases.

Objective To explore the spatial-temporal characteristics of influenza epidemic in Hubei from 2009 to 2020, and make short-term prediction to provide reference for influenza prevention and control strategies. Methods Time series seasonal decomposition model and geographic spatial analysis method were used to analyze spatial-temporal evolution characteristics of influenza prevalence in Hubei during 2009-2020. LSTM neural network model was used to predict the monthly influenza incidence from 2020 to 2023. Results Influenza was mainly prevalent in the end of winter and the beginning of spring (December to March) were periods of high influenza incidence. In recent years, the influenza pandemic has shown an increasing trend. Influenza epidemic was characterized by significant spatial differentiation, with ^“A-shaped point-axis structure^” surrounding counties were more severe . The epidemic center of gravity experienced a spatial evolution process from west to east and from north to south. LSTM neural network model predicted that although the influenza incidence rate from January 2020 to December 2023 is lower than that in 2019, it is still at a high level, and shows a peak epidemic in winter and spring. Conclusion Influenza epidemic in Hubei is characterized by a high epidemic period in late winter and early spring, and the southeast of Hubei is the key epidemic area. It is suggested that publicity and prevention and control should be strengthened according to people, time and place, and key populations and areas should be encouraged to receive influenza vaccines in advance.

Objective To determine the serum IgM and IgG antibody levels post-COVID-19 vaccination， and provide scientific evidence for COVID-19 antibody response after vaccination. Methods A total of 980 healthy persons were included in Kunming Third People’s Hospital from July through August， 2021， which had been vaccinated with COVID-19 vaccines and then tested for anti-SARS-CoV-2 IgM and IgG antibodies. Results After the COVID-19 vaccination， 469 persons （positive rate， 47.86%） were positive for anti-IgG antibody. Of them， 75 were males with （positive rate， 39.06%）， and the average IgG level was 0.618 （0.180， 2.526） AU·mL^-1［M（Q₁，Q₃）］； 394 were females （50.00%）， and the IgG level was 0.999 （0.305， 3.334） AU·mL^-1. In addition， 53 persons （5.41%） were anti-IgM antibody positive. Of them， 14 were males （positive rate， 7.29%）， and the average IgM level was 0.057 （0.026， 0.195） AU·mL^-1； 39 were females （4.95%）， and the IgM level was 0.047 （0.027， 0.110） AU·mL^-1. The positive rate of anti-IgG antibody was highest in those aged ≤30 years， which was 51.02% in male （n=25） and 55.88% in female （n=133）. The anti-IgG response differed significantly by gender （χ²=7.401， D=0.135 1， P<0.05）， whereas the anti-IgM response was not significantly different （χ²=1.656， P>0.05）. Among the age groups， anti-IgG antibody level was higher in those aged ≤30 and 51-70 years， with 158 （55.05%） and 122 （52.36%） persons， respectively； the average antibody level was 1.209 （0.426， 4.386） AU·mL^-1 and 1.074 （0.191， 7.670） AU·mL^-1， respectively. The differences in the positive rates of IgG and IgM antibodies and the levels of IgG antibodies among different age groups were statistically significant （P<0.05）. Using Kruskal-Wallis test and Spearman correlation analysis， it showed a high correlation between the IgG and IgM antibodies （r=0.836 4， H=64.82， 20.09， P<0.05）. Conclusion The Anti-SARS-CoV-2 IgG antibody remains high six months post-COVID-19 vaccination， while anti-IgM antibody is low. The IgM and IgG response are higher in the young and elderly. The response differs by gender and age， demonstrating a correlation.