Objective: To analyze the association between insufficient sleep and score of depressive symptoms among junior and senior high school students, so as to provide a scientific reference for targeted early intervention measures of adolescents depressive symptoms. Methods: From September to November 2023, a stratified cluster random sampling method was used to select 96 080 junior and senior high school students from 409 schools in 113 districts and counties in Shaanxi Province. A questionnaire survey was conducted using the 2023 Shaanxi Provincial Common Student Diseases and Health Influencing Factors Survey Form, and their height and weight were measured. Propensity score (PS) matched (1∶1) analysis was used to match participants with insufficient sleep to those sufficient sleep students. Through the gradual correction of the confounders, three multilevel linear models were established to analyze the association between insufficient sleep and depressive symptoms score, and subgroup analysis was conducted afterward. Results: A total of 70 135 (73.00%) students had insufficient sleep. After PS matching, 25 894 pairs were matched. Before PS matching, after adjusting for gender, educational stage, region, adolescent characteristics, boarding status, smoking, alcohol consumption, outdoor activities and body mass index grouping, linear regression analysis results showed that compared with students who got adequate sleep, students who lacked sleep had an increase of 1.39 scores ( B=1.39, 95%CI =1.28-1.51) in depressive symptoms; after PS matching, students with insufficient sleep got an increase of 1.32 scores ( B=1.32, 95%CI =1.17- 1.45 ) in depressive symptoms score compared with those who had adequate sleep (both P <0.05). Conclusions The insufficient sleep is associated with the increase of the depressive symptoms score of junior and senior high school students. It is recommended that junior and senior high school students should keep a good sleeping habit, so as to reduce the prevalence of depressive symptoms.

AIM:To investigate the current status of astigmatism and its associated factors among children and adolescents from kindergarten through senior high school in Yangpu District, Shanghai, and to provide scientific evidence for the prevention and control of refractive errors.METHODS:A cluster sampling method was employed. From September to November 2024, students from 14 randomly selected schools in Yangpu District, Shanghai, were enrolled as study subjects. Autorefraction and ocular biometry were performed under non-cycloplegic conditions, and questionnaire surveys were administered. Comparisons of astigmatism degree, detection rate, and axis were made across age groups, educational stages, and sexes. Multiple linear and logistic regression analyses were conducted to identify factors associated with astigmatism.RESULTS:A total of 7 233 students aged 4-18 y were enrolled including 3 731 males, 3 502 females, with the mean age 10.13±4.18 y, astigmatism -0.76±0.82 D, and the detection rate(≤-1.00 D)was 29.23%. Both the degree and detection rate of astigmatism were correlated with age and educational stage, peaking in senior high school, with the most pronounced changes observed during primary school. Besides age, astigmatic refractive power was influenced by spherical equivalent(β=0.105, P<0.001), mean keratometry(β=-0.118, P<0.001), sex(with boys as the reference, girls: β=0.054, P<0.001), frequent sustained near work for 30-40 min(with “almost never” as the reference, β=-0.030, P=0.038), preterm birth(β=-0.023, P=0.044), maternal myopia(β=-0.028, P=0.020), and homework completion time on rest days(β=-0.035, P=0.041). The detection rate of astigmatism was associated with maternal myopia(OR=1.130, P=0.039), male sex(OR=0.773, P<0.001), shorter sleep duration on school days(OR=0.909, P=0.028), shorter sleep duration on rest days(OR=0.937, P=0.046), preterm birth(OR=1.382, P=0.012), frequent excessive head lowering(OR=1.216, P=0.045), homework completion time on rest days(OR=1.043, P=0.046), higher spherical equivalent(OR=0.891, P<0.001), and higher mean keratometry(OR=1.188, P<0.001).CONCLUSION:The degree and detection rate of astigmatism among children and adolescents from kindergarten to senior high school in Yangpu District, Shanghai are correlated with educational stage, and primary school may represent a critical period for astigmatism prevention and control. Male sex, maternal myopia, preterm birth, high-intensity near work, and insufficient sleep and other factors may be associated with the onset and progression of astigmatism. It is recommended that education and health departments strengthen visual health screening during primary school, while promoting behavioral interventions such as scientific eye-use habits and adequate sleep across different educational stages to delay the onset and progression of astigmatism.

Booster vaccinations are highly recommended in combating the SARS-CoV-2 Omicron variant and its subvariants. However, the optimal booster vaccination strategies and related immune mechanisms with different prior vaccinations are under-revealed. In this study, we systematically evaluated the immune responses in mice and hamsters with different prime-boost regimens before their protective efficacies against Omicron were detected. We found that boosting with Ad5-nCoV, S_WT-2P or S_Omicron-6P induced significantly higher levels of neutralization activities against Omicron variants than CoronaVac and ZF2001 by eliciting stronger germinal center (GC) responses. Specifically, S_Omicron-6P induced even stronger antibody responses against Omicron variants in CoronaVac and Ad5-nCoV-primed animals than non-Omicron-specific vaccines but with limited differences as compared to Ad5-nCoV and S_WT-2P. In addition, boosting with a specific vaccine has the potential to remodel the existing immune profiles. These findings indicated that adenovirus-vectored vaccines and mRNA vaccines would be more effective than other types of vaccines as booster shots in combating Omicron infections. Moreover, the protective efficacies of the vaccines in booster vaccinations are highly related to GC reactions in secondary lymphatic organs. In summary, these findings provide timely important information on prime-boost regimens and future vaccine design.

Objective To construct a global model of cardiac surface motion based on average intensity projection(AIP)image.Methods The cine magnetic resonance imaging data were divided into training set and test set for model construction and validation.The datum points were obtained on the AIP surface point cloud,and the corresponding points of each cardiac phase surface point cloud were found based on surface features.Principal component analysis was used to extract feature information,establish the mapping relationship between the datum points and the corresponding points,and construct a model for predicting each temporal phase surface point cloud from the AIP surface point cloud.Results The RMSE of the model on test set for corresponding point prediction ranged from(0.209±0.020)mm to(0.841±0.074)mm,while the Euclidean distance for each time phase surface point cloud prediction ranged from(1.399±0.029)mm to(1.658±0.100)mm.Conclusion The proposed global model exhibit high accuracy and can provide a reference for image segmentation and clinical treatments.

Objective:To analyze the current situation and influencing factors of information need for cardiac rehabilitation of urban and rural patients with coronary heart disease, and explore the inequality of information need for cardiac rehabilitation among urban and rural patients with coronary heart disease and its influencing factors, so as to provide a scientific reference for formulating targeted cardiac rehabilitation programs.Methods:From June to July 2024, hospitalized patients with coronary heart disease from a Class A tertiary hospital in Suzhou City were selected by convenience sampling as the study subjects. A General Information Questionnaire, Information Need in Cardiac Rehabilitation Hospital Anxiety and Depression Scale, Health Literacy Management Scale, and Coronary Artery Disease Self-Management Scale were used to conduct a questionnaire survey. Multiple linear regression was used to analyze the influencing factors of the cardiac rehabilitation information needs and the oaxaca-blinder model was used to analyze the causes of unequal information needs in urban and rural patients.Results:A total of 254 hospitalized patients with coronary heart disease who met the inclusion and exclusion criteria were surveyed, included 127 males and 127 females, 182 of them were aged 60 years or older. The total cardiac rehabilitation information needs score of rural and urban patients with coronary heart disease were 168.00 (115.50, 255.00) and 213.00 (132.00, 255.00), respectively, the difference was significant ( U = 5 389.50, P<0.05). Multiple regression analysis showed that health literacy ( β = 0.871, P<0.05) was the influencing factor of cardiac rehabilitation information needs of rural coronary heart disease patients, and depression ( β = 0.719, P<0.05) and living status ( β = -0.186, P<0.05) was the influencing factor of cardiac rehabilitation information needs of urban coronary heart disease patients. Average monthly household income per capita (C = 14.50%) and health literacy (C = 88.30%) were the main causes of the difference in cardiac rehabilitation information needs between urban and rural patients with coronary heart disease. Conclusions:The information demand for cardiac rehabilitation of patients with coronary heart disease in rural area is lower than that in urban areas in Suzhou, mainly due to health literacy and monthly income. It is recommended to narrow the urban-rural gap by improving rural health literacy, optimizing medical insurance policies, and promoting a multi-level rehabilitation service network.

Objective To evaluate the diagnostic efficacy of sound touch viscoelastography(STVi)and shear wave elastography(SWE)in distinguishing between benign and malignant breast nodules.Methods A total of 104 breast nodules(52 benign and 52 malignant)from 102 patients scheduled for surgical treatment at Binzhou Medical University Hospital between October 2024 and February 2025 were prospectively enrolled.All nodules were pathologically confirmed through surgical excision or core needle biopsy.The viscosity coefficient and Young's modulus of both intranodular and perinodular tissues within a 2-mm range were measured using the Mindray Resona A20S ultrasound system.The diagnostic performance of each parameter,the correlation between elastic parameter values and the maximum nodule diameter,as well as the inter-correlation between the two parameters were systematically analyzed.Results The elasticity parameters were significantly higher in malignant nodules[maximum intranodular Viscosity coefficient(Vimax):5.93(4.33,8.47)Pa·s,maximum Young's modulus(Emax):81.18(58.31,120.33)kPa;maximum Viscosity coefficient of the surrounding 2-mm tissue(Vi2max):7.57(5.40,10.16)Pa·s,maximum Young's modulus(E2max):117.21(65.66,170.66)kPa]compared to benign nodules[Vimax:3.70(2.69,5.32)Pa·s,Emax:41.42(28.29,64.25)kPa;Vi2max:4.30(3.63,5.65)Pa·s,E2max:47.23(36.42,74.67)kPa](P<0.05).The diagnostic performance of the 2-mm perinodular tissue(Vi2max:0.78,E2max:0.81)surpassed that of intranodular tissue(Vimax:0.72,Emax:0.77)(P<0.05).The combined diagnostic model(Vi2+E2,Vi+E)achieved AUC values of 0.82 and 0.77,respectively,which outperformed STVi alone(P<0.05)and showed marginally better performance than SWE alone,although the difference was not statistically significant(P>0.05).The maximum nodule diameter showed a moderate correlation with the elasticity parameters,with E2max exhibiting the strongest correlation(r=0.510,P<0.05).Conclusions Both STVi and SWE show clinical value in distinguishing between benign and malignant breast nodules.Particularly,elasticity parameters obtained from the 2-mm perinodular tissue demonstrate better diagnostic performance than those measured within the nodule itself,and combining these parameters enhances the overall diagnostic accuracy of STVi.

OBJECTIVE To analyze the distribution and drug resistance of pathogenic bacteria in hospital-associat-ed infections for patients after renal transplantation,and to provide a reference for the rational selection of antibac-terial drugs for anti-infective treatment in such patients.METHODS Clinical data were collected from 89 hospital-ized patients who underwent renal transplantation and developed hospital-associated infection at Beidaihe Rehabili-tation and Recuperation Center(formerly known as 281 Hospital)from 2017 to 2021.The pathogenic bacteria de-tected in different types of hospital-associated infections and the drug resistance of the main pathogenic bacteria were analyzed.RESULTS A total of 89 pathogenic bacterial strains were isolated from the 89 patients with hospi-tal-associated infection,including 74 gram-negative bacterial strains(83.15％)and 15 gram-positive bacterial strains(16.85％).The predominant pathogenic bacterial strains were Klebsiella pneumoniae,Escherichia coli and Pseudomonas aeruginosa.Respiratory tract infection was the most common.E.coli showed severe drug re-sistance,with high drug resistance rates to various antibacterial drugs(complete drug resistance to piperacillin and ampicillin).K.pneumoniae was generally drug resistant to ampicillin.Enterobacter cloacae showed high sensitivi-ty to carbapenems,amikacin and enzyme inhibitor combinations.P.aeruginosa had low drug resistance rates to imipenem and meropenem.Staphylococcus aureus was completely drug resistant to antibacterial drugs such as penicillin,erythromycin and gentamicin,and no drug-resistant strains to vancomycin and linezolid were found.CONCLUSIONS The gram-negative bacteria are dominant among the bacteria isolated from the renal trans-planted patients with postoperative hospital-associated infections,with a high detection rate of E.coli and a severe drug resistance situation.Therefore,it is necessary to strengthen the monitoring of drug resistance in renal trans-plant recipients and make rational choices of antibacterial drugs.

China is a high-incidence region for gastric cancer globally. The disease is characterized by a high morbidity rate, low early diagnostic rate, and poor long-term outcomes, imposing a significant burden on both patients and society. Therefore, exploring the pathogenesis of gastric cancer, developing novel therapeutic strategies, and identifying new drug targets is of great importance. Telomerase expression is broadly associated with cancer cell targeting, and its up-regulation is one of the key factors driving the initiation and progression of gastric cancer. Additionally, telomerase is intricately involved in the regulation of autophagy and autophagy-associated cell death. While autophagy can induce chemoresistance, excessive autophagy may lead to cell death, which also constitutes one of the mechanisms of chemotherapy. Telomerase not only directly contributes to gastric cancer pathogenesis but also indirectly influences its development and treatment by modulating autophagy and autophagic cell death. Therefore, telomerase holds promise as a novel therapeutic target in gastric cancer.
Humans ; Stomach Neoplasms/genetics* ; Telomerase/genetics* ; Autophagy/physiology*

Objective To generate a dense granule protein 3 (GRA3) gene-deficient mutant of the Toxoplasma gondii ME49 strain and to test the virulence of the mutant. Methods Gene-deficient parasites were generated with the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (CRISPR/Cas9) system. Guide RNA (gRNA) was designed using the E-CRISPR software, and mutated on the pSAG1::Cas9-U6::sgUPRT plasmid using the Q5 site-directed mutagenesis kit to generate the pSAG1::Cas9-U6::sgGRA3 plasmid. A GRA3 donor plasmid containing GRA3 gene upstream sequences, pyrimethamine resistant gene dihydrofolate reductase-thymidylate synthase (DHFR-TS) and GRA3 gene downstream sequence was generated, and GRA3 donor DNA was amplified using PCR assay. The pSAG1::Cas9-U6::sgGRA3 plasmid and GRA3 donor DNA were electroporated into tachyzoites of the wild-type T. gondii ME49 strain. Then, parasite suspensions were inoculated into human foreskin fibroblast (HFF) cells and screened with pyrimethamine to yield pyrimethamine-resistant parasites for monoclonal screening. The GRA3 gene deficient monoclonal strain (ME49Δgra3) of T. gondii was identified using PCR and Western blotting assays, and the expression of GRA3 protein was determined in the T. gondii ME49Δgra3 strain using Western blotting. Subsequently, 1 000 freshly lysed tachyzoites of T. gondii ME49 and ME49Δgra3 strains were transferred to 12-well plates seeded with HFF cells, and incubated at 37 °C containing 5% CO₂ for 7 days, and the number of plaques was counted by staining with crystal violet solutions. HFF cells infected with tachyzoites of T. gondii ME49 and ME49Δgra3 strains were stained using Giemsa solutions, and the numbers of cells containing 1, 2, 4, and > 4 T. gondii parasitophorous vacuoles were counted. In addition, the survival rates of C57BL/6 mice infected with T. gondii ME49 and ME49Δgra3 strains were compared 35 days post-infection. Results PCR assay revealed successful amplification of both the upstream and downstream homologous arm bands of the DHFR-TS gene in the T. gondii ME49Δgra3 strain, and no corresponding bands were amplified in the ME49 strain. The GRA3 band was amplified in the ME49 strain, and the DHFR-TS band, rather than GRA3 band, was amplified in the ME49Δgra3 strain. Western blotting determined absence of GRA3 protein expression in the ME49Δgra3 strain. Crystal violet staining showed that the T. gondii ME49 strain produced more plaques than the ME49Δgra3 strain [(352.67 ± 26.39) plaques vs. (235.00 ± 26.29) plaques; t = 5.472, P < 0.01], and Giemsa staining revealed that the proportion of T. gondii parasitophorous vacuoles containing at least four T. gondii tachyzoites was higher in HFF cells infected with the ME49 strain than in those infected with the T. gondii ME49Δgra3 strain [(75.67 ± 2.52)% vs. (59.67 ± 2.31)%; t = 8.113, P < 0.01], and the proportion of T. gondii parasitophorous vacuoles containing at least 1 or 2 T. gondii tachyzoites was higher in HFF cells infected with the T. gondii ME49 strain than in those infected with the T. gondii ME49Δgra3 strain [(24.33 ± 2.52)% vs. (40.33 ± 2.31)%; t = −8.113, P < 0.01]. In addition, mice infected with the T. gondii ME49 and ME49Δgra3 strains started to die 8 and 9 days post-infection, and the 35-day mortality rates of mice infected with T. gondii ME49 and ME49Δgra3 strains were 10.00% and 70.00% post-infection (χ² = 6.762, P < 0.01). Conclusions The T. gondii ME49Δgra3 strain has been successfully generated, and GRA3 protein may increase the virulence of the T. gondii ME49 strain.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.