Objective To construct a universal influenza mRNA vaccine and evaluate its immunogenicity.Methods The antigen sequence of hemagglutinin(HA),nucleoprotein(NP)and matrix protein 2 ectodomain(M2e)in influenza A/California/04/2009 was optimized.HA,NP and 3 tandem M2e(3M2e)were cloned into pcDNA3.1 vector,respectively.Then the mRNAs were synthesized by linearization,in vitro transcription,enzymatic capping and enzymatic tailing,and named as mRNA-HA,mRNA-NP and mRNA-3M2e,respectively.The protein expression of the 3 kinds of mRNAs in 293T cells was detected by immunofluorescence assay.Comb-mRNA vaccine was prepared by enveloped mRNA-HA,mRNA-NP and mRNA-3M2e with lipid nanoparticles,respectively,and the particle size and potential were identified.Twenty-eight 6-week-old female BALB/c mice(18～22 g)were randomly divided into LNP group(n=14)and Comb-mRNA group(n=14).Hemagglutination inhibition(HI)method and microneutralization(MN)test were used to evaluate the serum antibody titer induced by Comb-mRNA vaccines.The mice were infected by 5LD50 wild-type H1 N1 influenza virus to evaluate the protective efficacy.Results The mRNA-HA,mRNA-NP and mRNA-3M2e were successfully constructed,and the 3 mRNAs could be expressed in 293T cells.The average size of mRNA encapsulated by lipid nanoparticles was 119.53±6.5 nm,and the average potential was-8.23±1.3 mV.The geometric mean titer(GMT)of HI and MN in the Comb-mRNA group were 179.6 and 201.6,compared with the LNP group.The ratio of IFN-γ+CD4+/CD8+Tcells was increased.The Comb-mRNA group could provide protection against 5LD50 wild type influenza H1 N1 virus after 2 weeks of booster immunization.Conclusion Comb-mRNA,an influenza vaccine candidate,can induce immune responses and protect mice from influenza virus challenge.

ObjectiveTo evaluate the supportive policies for caregivers issued in China, and analyze the structures and contents. MethodsThe national supportive policies for family caregivers in China within the past decade were text-mined using ROSTCM 6.0. Secondary indicators were established according to the Policy Modeling Consistency (PMC) index model combining with World Health Organization six blocks of health services. ResultsThe average PMC score was 7.38. There were seven good policies and three accepted policies. The policies covered well in publicity, recipients and functions, and needed to improve in incentive and restraint. ConclusionChina's policies have played a positive role in supporting family caregivers. It is needed to reduce the burden on family caregivers and improve their welfare.

Objective To investigate the effects of group identification on death anxiety among military medical students and the chain mediating effects of self-esteem and collective self-esteem.Methods Cluster sampling was conducted to survey the students in a military medical university in July,2021,and finally survey data from 360 participants were collected through WeChat Mini Program,Questionnaire Star.The Questionnaires included Templer Death Anxiety Scale(T-DAS),Organizational Identification Questionnaire,Rosenberg Self-Esteem Scale-Revised(RSES-R),Collective Self-Esteem Scale and a self-designed general information questionnaire.Results ①The score of death anxiety in the participants ranged from 1.00 to 4.33(M=2.60).②The scores of group identification,self-esteem and collective self-esteem were negatively correlated with death anxiety(r=-0.56～-0.21,P＜0.01).Significantly positive correlations were observed in any 2 scores among the above 3 scores(r=0.42～0.68,P＜0.01).③ Group identification significantly negatively predicted death anxiety(b=-0.21,SE=0.02,P＜0.001).④ There were 3 mediation effects between group identification and death anxiety:group identification→self-esteem→death anxiety,group identification→ collective self-esteem→ death anxiety,group identification→ self-esteem→collective self-esteem→death anxiety,with a total indirect effect of-017.Conclusion Group identification can negatively predict death anxiety among military medical students,and self-esteem and collective self-esteem play a chain mediating role between them.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.

Objective:To explore the application effect of medical science competition in nursing interns whocontribute to "healthy China" , and to improve their health education awareness, ability, method and self-confidence.Methods:A total of 205 nursing interns who worked in Union Hospital of Tongji Medical College of Huazhong University of Science and Technology from 2019 to 2020 were selected as the research objects. They were divided into the control group (105 cases) and the experimental group (100 cases) according to whether they participated in the medical science competition. The control group learned the form and method of health education in clinical rotation according to the traditional practice teaching plan. The experimental group volunteered to participate in the medical science competition, which required the dissemination of health knowledge through various forms. Before and after the competition, the health education ability assessment scale was used for comparison.Results:Before the medical science competition, there was no significant difference in the total score of assessment, planning, implementation, evaluation and health education between the control group and the experimental group ( t values were 0.765 - 1.749, all P>0.05). After the medical science competition, the total scores of assessment, planning, implementation, evaluation and health education ability of nursing interns in the experimental group were (24.38 ± 4.72), (17.98 ± 3.98), (25.16 ± 5.36), (12.57 ± 2.96) and (80.09 ± 15.65) respectively, while those in the control group were (22.45 ± 6.29), (16.61 ± 4.77), (23.04 ± 6.55), (11.31 ± 3.46) and (73.41 ± 19.69).The differences between the two groups were statistically significant ( t values were 2.226 - 2.795, all P<0.05). Conclusions:The medical science competition can improve the health education ability of assessment, planning, implementation, evaluation of nursing interns and contribute to "healthy China" .

Objective To investigate differential expression genes （DEGs） between Alzheimer’s disease （AD） and normal controls by bioinformatics analysis.Methods The microarray dataset GSE5281 was download from GEO database，which included brain tissue in AD and normal controls. The DEGs were obtained by R project.Analysis of DEGs based in DAVID database was used to obtain gene ontology（GO）and kyoto encyclopedia of genes and genomes （KEGG） pathway.The protein protein interaction network （PPI） was established using STRING database to identify hub genes. and core genes.Moreover，the existing drugs target to these core genes were screen to explore the therapeutic effect for AD.Results A total 863 DEGs were obtained，of which 246 genes were up-regulated and 617 genes were down-regulated in AD group.GO showed that DEGs were mainly involved in ATP binding，and KEGG pathway involved several neurodegenerative diseases including Parkinson’s disease and prion disease，long-term potentiation and axon guidance.5 core genes（PSMA7，PSMA3，PSMB7，PSMC5 and PSMC3） and 31 hub genes including 23 up regulated genes and 8 down-regulated genes were obtained by PPI analysis.Several existing drugs have targeted to core genes. Some common differential expression genes were obtained by paired comparison of 3 groups of gene microarrays.Conclusion Bioinformatics analysis based on GEO database showed that there were DEGs between Alzheimer’s disease（AD）and normal controls，and 8 existing drugs were identified.

Transposable elements (TEs) have no longer been totally considered as "junk DNA" for quite a time since the continual discoveries of their multifunctional roles in eukaryote genomes. As one of the most important and abundant TEs that still active in human genome, Alu, a SINE family, has demonstrated its indispensable regulatory functions at sequence level, but its spatial roles are still unclear. Technologies based on 3C (chromosome conformation capture) have revealed the mysterious three-dimensional structure of chromatin, and make it possible to study the distal chromatin interaction in the genome. To find the role TE playing in distal regulation in human genome, we compiled the new released Hi-C data, TE annotation, histone marker annotations, and the genome-wide methylation data to operate correlation analysis, and found that the density of Alu elements showed a strong positive correlation with the level of chromatin interactions (hESC: r = 0.9, P < 2.2 × 10(16); IMR90 fibroblasts: r = 0.94, P < 2.2 × 10(16)) and also have a significant positive correlation with some remote functional DNA elements like enhancers and promoters (Enhancer: hESC: r = 0.997, P = 2.3 × 10(-4); IMR90: r = 0.934, P = 2 × 10(-2); Promoter: hESC: r = 0.995, P = 3.8 × 10(-4); IMR90: r = 0.996, P = 3.2 × 10(-4)). Further investigation involving GC content and methylation status showed the GC content of Alu covered sequences shared a similar pattern with that of the overall sequence, suggesting that Alu elements also function as the GC nucleotide and CpG site provider. In all, our results suggest that the Alu elements may act as an alternative parameter to evaluate the Hi-C data, which is confirmed by the correlation analysis of Alu elements and histone markers. Moreover, the GC-rich Alu sequence can bring high GC content and methylation flexibility to the regions with more distal chromatin contact, regulating the transcription of tissue-specific genes.
Alu Elements ; genetics ; Base Composition ; Binding Sites ; Cell Line ; Chromatin ; chemistry ; genetics ; metabolism ; CpG Islands ; DNA ; metabolism ; Databases, Genetic ; Enhancer Elements, Genetic ; genetics ; Genome, Human ; Histones ; metabolism ; Humans ; Methylation