This study aims to explore the impact of Fitness Qigong on depression in middle-aged and elderly, as well as the chain mediating role of mindfulness and sense of meaning in life.

The study utilized the International Physical Activity Questionnaire, the Meaning in Life Questionnaire (MLQ), the Mindful Attention Awareness Scale (MAAS), and the Patient Health Questionnaire-9 (PHQ-9). Taking middle-aged and elderly people in Guangxi Autonomous Region as the research subjects. A total of 1 000 questionnaires were distributed, with 956 valid responses returned, resulting in a 95.6%effective response rate. Descriptive statistics, correlation analysis, and regression analysis were conducted using SPSS 27.0. The Bootstrap method in the PROCESS V4.1 plug-in was used to test the mediating effect and verify the chain mediating role of mindfulness and meaning in life.

The depression detection rate among middle-aged and elderly people in Guangxi was 17.3%. Depression scores showed significant differences in terms of age, education level, marital status, and exercise intensity of Qigong. Fitness Qigong exercise has a significant direct negative effect on depression levels among middle-aged and elderly individuals (β=-0.30, P < 0.001). Mindfulness and meaning in life exhibited significant individual mediating effects in the relationship between Fitness Qigong exercise and depression, with effect values of -0.059 (95% CI: -0.087~-0.036) and-0.022(95% CI: -0.041~-0.005), accounting for 15.42% and 5.63% of the total effect，respectively. Additionally, the chain mediating effect was also significant, with an effect value of -0.008(95% CI: -0.017~-0.002), accounting for 2.16% of the total effect.

Fitness Qigong not only directly reduces depression levels in the elderly but also affects depression levels through the chain mediating effects of mindfulness and meaning in life.

To understand parents’ attitudes towards school food education, explore the impact of school food education on parents’ dietary beliefs, and whether it could have a positive effect on dietary behavior.

A stratified cluster random sampling method was used to collect data from parents whose children are from primary school in grades 3-5 in the food education districts and counties (Pingqiao District and Xin County) and the control county (Shangcheng County) in Xinyang City. A self-administered questionnaire was used to collect information on family background, frequency of food intake, and dietary attitudes and dietary beliefs. The differences between the two groups were compared using t test，χ² test and rank sum test, and the influencing factors of parents’ dietary beliefs were analyzed using a multivariable logistic model.

The survey included 2 601 research subjects, including 1 252 in the food education group and 1 349 in the control group. The proportion of students in the food education group who regularly shared health knowledge was 51.3%, which was higher than that of the control group (33.4%) (P<0.05). In the survey of intake frequency of 7 kinds of foods, the intake of 6 kinds of foods per day in the food education group was significantly higher than that in the control group. The proportion of parents in the food education group who were aware of suggesting their children to drink milk every day was 81.1%, which was higher than the control group's proportion of 66.9% (χ²=67.37, P<0.05). The proportion of the food education group which tried to provide a variety of foods for each meal was 59.8%, which was higher than the control group's proportion of 40.1% (χ²=100.40, P<0.05).

School food education can improve parents’ beliefs of healthy dietary, thereby improving household dietary intake.Children's sharing of health knowledge could play an important role as well.

To investigate the effect of proteasome activator PSME1 on proteasome function and antioxidant stress capacity in endothelial cells.

An adenoviral vector (Ad-PSME1) was used to transduce the target gene into human umbilical vein endothelial cells (HUVEC) to establish PSME1-overexpressing endothelial cells. Western blot was used to detect the expression levels of proteasome-related proteins; dot blot was employed to assess protein carbonylation levels; co-immunoprecipitation(Co-IP) was performed to examine the interaction between PSME1 and PSME2; fluorogenic substrate assays were used to determine proteasome activity;cycloheximide(CHX) chase experiments were conducted to evaluate protein degradation rates; pulse-chase assays were applied to measure the degradation rate of GFPu; and DNPH derivatization was used to detect protein carbonylation levels.

Overexpression of PSME1 in HUVECs increased the expression and prolonged the half-life of PSME2, enhanced chymotrypsin-like (β5) proteasome activity and ATP-dependent proteolytic function, and significantly shortened the half-life of misfolded protein GFPu(P<0.05). No significant effects were observed on the stability of endogenous UPS substrates(AKT, GATA4, and PTEN) or on the abundance of the 19S and 20S proteasome complexes (RPN2, RPT6, and PSMB5) (P>0.05). Additionally, PSME1 overexpression significantly reduced hydrogen peroxide-induced protein carbonylation levels and enhanced the antioxidant stress capacity of endothelial cells(P<0.05).

Overexpression of PSME1 stabilizes PSME2, enhances the function of the 11S regulatory particle, and improves the proteasome's ability to degrade misfolded and oxidatively damaged proteins, thereby protecting endothelial cells.

To investigate whether extreme light conditions alter the expression of RNA m6A methylation regulators in brain regions during anxiety- and depression-like behaviors in mice.

A total of 48 male C57BL/6J mice were randomly divided into control, constant light, and constant dark groups (n=8 per group) for 2- or 4-week interventions.Behavioral tests assessed anxiety- and depression-like behaviors. After completion of these assessments, the medial prefrontal cortex, hypothalamus, amygdala, and ventral hippocampus were collected for qRT-PCR analysis of m6A methyltransferases and reader proteins. Differences between groups were determined using one-way ANOVA with multiple comparisons.

Compared with the control group, after 2 weeks, constant dark exposure induced significant anxiety- and depression-like behaviors (P<0.01), while constant light showed no effect. After 4 weeks, both extreme light conditions caused behavioral abnormalities (P<0.01). Compared with the control group, qRT-PCR revealed that 2-week constant dark exposure significantly altered m6A regulators: increased Mettl3 in medial prefrontal cortex (P<0.05); decreased Mettl3 and YthdF1 in hypothalamus (P<0.05); increased FTO and ALKBH5 but decreased YthdC1 in ventral hippocampus (P<0.05); and increased ALKBH5/YthdC2 but decreased YthdC1 in amygdala (P<0.05).

Constant dark exposure more readily induces anxiety- and depression-like behaviors than constant light, and extreme light conditions modify the expression profile of RNA m6A methylation regulators in emotion-related brain regions.

To analyze the molecular characteristics and antimicrobial resistance of human-derived Salmonella strains from three cities in Henan during 2023 and 2024, providing a scientific basis for epidemiological surveillance and disease control.

Whole-genome sequencing was performed to analyze multilocus sequence typing (MLST), molecular serotyping, protein function, resistance genes, and virulence genes. Antimicrobial susceptibility was determined by the broth microdilution method.

A total of 53 human-derived Salmonella strains were collected from sentinel hospitals in Xuchang, Nanyang, and Zhoukou. The analysis revealed 16 ST types and 15 molecular serotypes, with Salmonella Enteritidis ST11 being the most prevalent (33.96%). Thirty-two virulence gene categories were identified, and all strains carried numerous genes associated with Salmonella pathogenicity islands. Fifteen classes of resistance genes were detected, with a multidrug resistance (MDR) rate of 67.92%. Minimum spanning tree clustering identified two clonal groups, and phylogenetic analysis showed a strong correlation between ST types and serotypes.

The 53 human-derived Salmonella strains harbored diverse resistance genes and highly pathogenic virulence genes, with Salmonella Enteritidis ST11 being the dominant strain.The high MDR prevalence warrants attention in disease prevention and control.

To investigate the epidemiology and influencing factors of pre-treatment drug resistance (PDR) and acquired drug resistance(ADR) in Hebei Province.

Plasma samples were collected from HIV-1-infected individuals who were ART-naive or experiencing ART failure in Hebei Province from January 2022 to December 2023 to determine drug resistance profiles. Multivariate logistic regression was used to analyze the influencing factors of drug resistance.

The overall prevalence of PDR were 9.19%, showing a moderate prevalence trend. The overall prevalence of ADR was 46.71%,presenting a high level of drug resistance and the phenomenon of cross drug resistance. Multivariate logistic regression analysis showed that start ART more than one year after diagnosis (OR=3.007, 95% CI: 1.185-7.633) and being infected with subtypes other than CRF07_BC, subtype B, and URFs (OR=3.227, 95% CI: 1.043-9.991) were risk factors for PDR. Non-farmer occupation(OR=1.787, 95% CI: 1.129-2.830) and 3-5 years treatment duration(OR=2.440, 95% CI: 1.422-4.185) were risk factors for ADR, while CD4+T-cell counts between 200-500 cells/μl (OR=0.382, 95% CI: 0.236-0.618) and above 500 cells/μl(OR=0.158, 95% CI: 0.083-0.299), second-line regimens containing LPV/r or BIC (OR=0.229, 95% CI: 0.083-0.629; OR=0.064,95% CI: 0.008-0.534), and CRF07_BC(OR=0.398, 95% CI: 0.245-0.647) were protective factors for ADR.

Monitoring of local PDR and ADR should be strengthened to know about the situation of drug resistance as early as possible, and targeted interventions should be taken to reduce the spread of HIV-1 drug-resistant strains.

To investigate the longitudinal association between the metabolic score for insulin resistance (METS-IR) and the risk of cardiovascular disease (CVD) and its subtypes (heart disease and stroke) in middle-aged and older adults.

This study used data from 4 567 participants in the China Health and Retirement Longitudinal Study (CHARLS) cohort. METS-IR levels measured in 2011 and 2015 were standardized, and K-means cluster analysis was used to classify participants into four categories (Class 1-4). Cumulative METS-IR exposure levels were calculated. Multivariable Cox regression models, adjusted for potential confounders, were used to evaluate the association between METS-IR and incident CVD. Restricted cubic spline analysis assessed the dose-response relationship between cumulative METS-IR exposure and CVD risk. Subgroup analyses explored heterogeneity by gender and age. The predictive performance of METS-IR for CVD was evaluated using time-dependent receiver operating characteristic (ROC) curves.

Over a median follow-up of 3 years, 531 CVD events occurred among 4 567 participants. Cox regression analysis showed that compared to Class 1 (lowest persistent METS-IR levels), Class 4(highest persistent METS-IR levels) was associated with a 77% increased risk of incident CVD (HR=1.77, 95%CI: 1.24-2.52), including a 67% increased risk of heart disease (HR=1.67, 95%CI: 1.10-2.54) and a significant 117% increased risk of stroke (HR=2.17,95%CI: 1.31-3.59). A significant linear dose-response relationship was observed between cumulative METS-IR exposure and CVD risk. ROC curve analysis indicated that cumulative METS-IR had the best predictive performance for CVD, with an area under the curve (AUC) of 0.613.

Persistently elevated longitudinal levels of METS-IR are associated with an increased risk of incident CVD. Dynamic monitoring of METS-IR levels is important for the prevention and treatment of CVD.

To analyze the trends of maternal, infant and neonatal mortality rates in Jiangxi Province from 2003 to 2020 in the aggregate and in urban and rural areas, and to predict the maternal mortality rate (MMR), infant mortality rate (IMR), and neonatal mortality rate (NMR) in the aggregate and in urban and rural areas in 2030, in order to provide a basis for the development and planning of the maternal and child health care industry in Jiangxi Province during the period of Healthy China 2030.

Based on the combined and urban-rural MMR, IMR, and NMR data of Jiangxi Province from 2003 to 2020, the Gray GM (1, 1), support vector machine (SVM), neural network auto-regression (NNAR), quadratic exponential smoothing (ES) models were established, and the optimal model was selected to predict the combined and urban-rural MMR, IMR, and NMR for the years 2021-2030. The already predicted aggregate mortality rates were then used to adjust the urban and rural MMR, IMR, and NMR.

In Jiangxi Province, the combined MMR, IMR, and NMR in 2025 and 2030 were 3.09/100 000, 2.52‰, 1.38‰, 1.67/100 000, 1.51‰, and 0.79‰. The urban MMR, IMR, and NMR in 2025 and 2030 were 2.44/100 000, 2.28‰, 1.28‰, and 1.22/100 000, 1.44‰, 0.75‰.And rural MMR, IMR, and NMR in 2025 and 2030 were 3.79/100 000, 2.81‰, 1.52‰,1.90/100 000, 1.63‰, and 0.89‰.

It is expected that Jiangxi Province will reach the targets set out in the “Healthy China 2030” Plan and other policies ahead of schedule in 2025 and 2030 in terms of MMR, IMR and NMR. Although the gap between urban and rural areas in terms of maternal, infant and neonatal mortality rates continues to narrow, the relevant indicators in rural areas are still higher than those in urban areas, an objective gap that indicates that the continued promotion of maternal and child health-care services in rural areas and the optimization of resource allocation at the grass-roots level are still the key directions of public health work.