Objective: To explore the network structure of middle school students basic psychological needs and psychological behavioral problems, and identify the core nodes within the network, as well as examine demographic subgroup differences, so as to provide support for targeted mental health interventions for adolescents. Methods: In September and October of 2023, a total of 2 000 junior and senior high school students were selected with multistage cluster random sampling from 8 schools in Jiaojiang District and Tiantai County, Taizhou City. An online self administered questionnaire was used to assess emotional and behavioral problems, perceived autonomy, self awareness, loneliness, and social support. The instruments included the Strengths and Difficulties Questionnaire (SDQ), Perceived Choice and Awareness of Self Scale (PCASS), Mental Health Literacy Questionnaire (MHLQ), University of California,Los Angeles Loneliness Scale (UCLA-LS), and the Multidimensional Scale of Perceived Social Support (MSPSS). A network analysis approach was employed to construct a network representing adolescents basic psychological needs and psychological behavioral problems, focusing on centrality measures and demographic subgroup differences. Results: A total of 418 students (20.9%) reported abnormal emotional and behavioral problems. Perceived autonomy and competence were negatively correlated with emotional problems (weights: 0.12, 0.14) and hyperactivity (weights: 0.10, 0.16). Social support showed negative correlation with peer relationship issues, hyperactivity, and conduct problems (weights: 0.16, 0.13, 0.10). Loneliness was positively correlated with emotional symptoms and peer relationship problems (weights: 0.28, 0.18). In the overall network, perceived relationships (social support and loneliness), emotional symptoms, and hyperactivity emerged as central nodes. Significant differences in network structure were observed between gender subgroups ( P =0.02). Girls internalizing issues were more influenced by loneliness and perceived autonomy frustration, while social support exhibited higher centrality in boys. Conclusions Perceived relationships, emotional problems, and hyperactivity are key nodes in the network of adolescents basic psychological needs and psychological behavioral problems. Loneliness demonstrates a prominent influence within the network, and the overall network exhibits gender differences.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Objective: To investigate the prevalence and influencing factors of the co-occurrence of elevated blood pressure and depressive symptoms among junior and senior high school students in Anhui Province, so as to provide evidence for comprehensive interventions on physical and mental health among adolescents. Methods: From September to December 2024, a multi stage random cluster sampling method was used to select 103 225 junior and senior high school students from 16 prefecture level cities in Anhui Province. Data were collected through questionnaire surveys and physical measurements. Elevated blood pressure was determined according to the Reference of Screening for Elevated Blood Pressure among Children and Adolescents Aged 7-18 Years. Depressive symptoms among middle school students were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Chi-square test, Chi-square test for trend, and multivariate Logistic regression model were used to analyze the risk factors for the co-occurrence of elevated blood pressure and depressive symptoms. Results: The detection rate of elevated blood pressure was 15.22%, the detection rate of depressive symptoms was 18.56%, and the co-occurrence rate of the two conditions was 2.67% among junior and senior high school students. Multivariate Logistic regression analysis showed that after controlling for gender, school stage, household registration, and overweight and obesity status,compared with those who don t drink sugary drink and eat fried food, and get enough sleep, sugar sweetened beverage intake <1 and ≥1 time/d( OR =1.28,1.61), fried food consumption ≥1 time/d( OR =1.37), and insufficient sleep ( OR =1.54) were all associated with an increased risk of the co-occurrence of elevated blood pressure and depressive symptoms(all P <0.05). Daily fresh vegetable intake ≥1 time/d( OR =0.78) and fresh fruit intake ≥1 time/d( OR =0.85) were both associated with a decreased risk of the co-occurrence(both P <0.05). Compared with students who did not eat breakfast, students who ate breakfast sometimes and every day ( OR =0.62,0.36) had a lower co-occurrence risk(both P < 0.05). Junior and senior high school students with daily outdoor activity duration≥1 h ( OR =0.81) had a lower risk of the co-occurrence of elevated blood pressure and depressive symptoms ( P <0.05). Conclusions Sugar sweetened beverage drink and fried food consumption, inadequate consumption of fresh vegetables, fruits and breakfast, lack of outdoor activity, and insufficient sleep are risk factors for the co-occurrence of elevated blood pressure and depressive symptoms among junior and senior high school students in Anhui Province. It is necessary to establish school health promotion strategies integrating nutrition, exercise and sleep management as intervention targets to reduce the co-occurrence risk of elevated blood pressure and depressive symptoms among junior and senior high school students.

Tuberculosis (TB), a chronic infectious disease caused by Mycobacterium tuberculosis, is primarily airborne and remains a global health problem, especially in resource-limited countries and regions. The emergence of drug resistance in M. tuberculosis has rendered the existing means ineffective in the treatment of TB. Therefore, research in new therapeutic directions has become imperative. In this review, we outline functional peptides in terms of the mechanisms of action, anti-TB attempts, advantages and disadvantages, and latest advances, aiming to analyze the research progress in anti-TB peptides. Furthermore, we investigate the potential applications of bioactive compounds found in traditional Chinese Medicine within the context of peptides.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

Objective:To evaluate the clinical utility of dual-layer detector CT integrated with virtual monoenergetic imaging (VMI) and an orthopedic metal artifact reduction (O-MAR) algorithm in improving the image quality of patients after lumbar pedicle screw fixation surgery, and to analyze its impact on different types of artifacts and image quality of different tissues.Methods:The study was a prospective study, The study enrolled patients who underwent lumbar pedicle screw fixation at West China Hospital of Sichuan University between March and September 2024. All patients underwent lumbar CT scans using a dual-layer detector system, and four image sets were reconstructed. CLumbar routine scans were performed using dual-layer detector CT, and four image sets were reconstructed:onventional images (CI non-O-MAR), conventional images with O-MAR (CI O-MAR), virtual monoenergetic images (VMI non-O-MAR), and VMI with O-MAR (VMI O-MAR). Objective metrics including artifact index (AI), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were quantified, alongside subjective image quality assessment. One-way ANOVA or Friedman test were used to compare the objective evaluation indicators of image quality between VMI non-O-MAR and VMI O-MAR at different energy levels. Paired t-test or Wilcoxon signed-rank test was used for CI non-O-MAR/VMI non-O-MAR versus CI O-MAR/VMI O-MAR comparisons. Results:A total of 30 patients were included, and all underwent internal fixation with titanium alloy pedicle screws. Objective analysis revealed that in both high-and low-density artifact regions, the AI values of the VMI O-MAR group decreased with the increase of energy levels, and were significantly lower than those of the corresponding VMI non-O-MAR group, with a statistically significant difference (all P<0.001). When the energy level≥140 keV, the AI value of the VMI O-MAR group was simultaneously lower than that of the CI non-O-MAR group and the CI O-MAR group, with statistically significant differences (all P<0.05). The SNR and CNR on the vertebral bodies in the VMI non-O-MAR group and the VMI O-MAR group showed a decreasing trend with increasing energy levels, and were always lower than those in the CI group at high energy levels (100-180 keV) (all P<0.05). At high energy levels (100-180 keV), the SNR of VMI O-MAR in the intervertebral disc and intraspinal tissues was higher than that of the VMI non-O-MAR group, with statistically significant differences (all P<0.05). Compared to other groups, subjective analysis indicated that the 140 keV VMI combined with O-MAR group received the highest image quality scores ( P<0.05). Conclusions:The combined application of VMI and O-MAR technology effectively reduces metal artifacts in post-lumbar fixation CT images. The 140 keV VMI with O-MAR reconstruction provides superior image quality and enhances diagnostic confidence.

Objective To explore the home rehabilitation experience of individuals with fully magnetically levitated left ventricular assist device,and to provide a basis for developing scientific nursing intervention plans and follow-up strategies for clinical practice.Methods Using phenomenological research methods,a semi-structured interview was conducted on 13 patients with fully maglev left ventricular assist device implantation in a tertiary A comprehensive hospital in Wuhan from September to October 2022.Colaizzi's 7-step analysis method was used to analyze the data and extract themes.Results A total of 3 themes and 9 subthemes were extracted,including complex emotions in home rehabilitation(challenges for new characters,anxieties and concerns,regaining new life and full of confidence),difficulties in home self-management(lack of professional knowledge,insufficient exercise,difficulty in managing pump cable bag wounds,weak ability to recognize and respond to external controller alarms),and needs for home rehabilitation(need for continuity of care,desire for more social support).Conclusion Complex emotional experiences and many difficulties and needs exist in the home rehabilitation process of patients after implantation of full magnetic levitation left ventricular assist device.Healthcare professionals should actively pay attention to the postoperative psychological changes of patients,strengthen pre-discharge training to improve patients'self-management ability,and actively build a multi-party Internet home rehabilitation management platform to improve the rehabilitation quality of patients.

Malignant tumors (commonly referred to as cancer) represent a major global public health challenge and contribute significantly to the worldwide disease burden. Early screening plays a critical role in improving detection rates, enabling timely intervention, and enhancing patient survival rates. However, current cancer screening guidelines primarily focus on site-specific screening, which may not fully address the need for comprehensive early detection. A scientifically rational, multi-cancer screening approach offers several advantages: it optimizes the use of biological samples, reduces time costs for participants, enhances the efficiency and comprehensiveness of screening, and minimizes overall expenses. Such an approach also facilitates the rational allocation of healthcare resources, ultimately helping to reduce the societal burden of cancer. To address this need, the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China. This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and international researches on cancer screening, early detection, and treatment for prevalent malignancies. Drawing upon China's unique demographic and healthcare context, as well as practical screening experiences, the consensus provides evidence-based recommendations on target populations, screening technologies, and procedural workflows for multi-cancer screening. These guidelines align with the principles and methodologies established by the World Health Organization (WHO), aiming to enhance the effectiveness of combined cancer screening in China, improve early detection rates, and provide a scientific foundation for national cancer prevention and control strategies.

Purpose The study aimed to analyze the relationship between MET gene variants and clinicopathologi-cal features in patients with non-small cell lung cancer(NSCLC).Methods Next-generation sequencing technology was used to detect MET gene variants in NSCLC specimens.The association between MET gene variant status and clini-copathological features was then analyzed.Results Among 1 633 cases of NSCLC,the overall MET mutation rate was 4.53％(74/1 633).Variants were mainly observed in male patients,never-smokers,those older than 60 years,ade-nocarcinoma histology,and patients with TNM stage Ⅲ+Ⅳ disease(P＜0.05).MET gene variant status showed no significant assocication with patient age,sex,smoking history,or pathological subtype(P＞0.05),but was statistical-ly correlated with clinical stage and presence of distant metastasis(P＜0.05).The two major variant types were MET exon 14 skipping and MET amplification,which together accounted for 71.62％of all variants.In addition,MET am-plification was positively correlated with EGFR(P=0.003,rs=0.340)and TP53 mutations(P=0.002,rs=0.362),but showed no correlation with KRAS or ALK gene mutations.In contrast,MET exon 14 skipping was nega-tively correlated with EGFR gene mutations(P＜0.001,rs=-0.409),and showed no significant correlation with KRAS,ALK,or TP53 mutations.Conclusion Different types of MET gene variants(amplification,exon 14 skip-ping,fusion,and others)are significantly associated with clinical advanced clinical stage and distant metastasis in NSCLC,but are independent of patient age,sex,smoking history,and pathological subtype.MET amplification fre-quently co-occur with EGFR and TP53 co-mutations.