BackgroundAnxiety disorder is a common mental disorder， with its prevalence showing a continuous upward trend， significantly affecting the quality of life and social function of patients. Due to the lack of objective and reliable biomarkers in clinical practice， the early identification and treatment of anxiety disorder have been somewhat limited. Plasma proteins have the potential to serve as biomarkers for mental diseases， however， the causal relationship between them and anxiety disorder remains unclear. ObjectiveTo identify the plasma proteins that have a causal relationship with anxiety disorders， and to elucidate the associated biological pathways， in order to provide references for the search for biomarkers of anxiety disorders and the exploration of potential therapeutic targets. MethodsBased on the protein quantitative trait locus （pQTL） data of 4 907 plasma proteins covering 35 559 Icelandic individuals from the deCODE database， and the genome-wide association studies （GWAS） data of 50 486 patients with anxiety disorders and 330 460 healthy controls， the inverse-variance weighted （IVW） method was used as the main analysis method， supplemented by MR-Egger method， weighted median method， simple model method， and weighted model method for bidirectional Mendelian randomization analysis. Enrichment analysis of gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathways was conducted for the related proteins. Sensitivity analysis was performed using Cochran's Q test， MR-Egger intercept test， MR-PRESSO test， and leave-one-out analysis to evaluate the robustness of the results. ResultsA total of 10 plasma proteins were identified as significantly associated with anxiety disorders. Among these， SPATA9 （OR=0.856， 95% CI： 0.784–0.934， P<0.01） and PDE5A （OR=0.911， 95% CI： 0.864–0.961， P<0.01） were identified as protective factors， while CRYGD （OR=1.209， 95% CI： 1.095–1.334， P<0.01）， BTN3A3 （OR=1.045， 95% CI： 1.018–1.073， P<0.01）， SERPINB13 （OR=1.102， 95% CI： 1.040–1.168， P<0.01）， ERBB4 （OR=1.283， 95% CI： 1.109–1.484， P<0.01）， LSAMP （OR=1.096， 95% CI： 1.037–1.158， P<0.01）， ICOSLG （OR=1.283， 95% CI： 1.104–1.490， P<0.01）， DNAJB11 （OR=1.172， 95% CI： 1.076–1.277， P<0.01）， and TREML1 （OR=1.115， 95% CI： 1.054–1.179， P<0.01） were identified as risk factors. The sensitivity analysis showed that the results were robust， with no heterogeneity （Cochran's Q test P>0.05） or pleiotropy （MR-Egger intercept test P>0.05）. Enrichment analysis indicated that these plasma proteins were enriched in biological processes such as T-cell signal transduction， lymphocyte proliferation， cell membrane structure and synaptic function， as well as the intestinal immune network that produces IgA and the ErbB signaling pathway. ConclusionThis study identified 10 plasma proteins associated with anxiety disorders. The functions of these plasma proteins involve multiple biological processes such as neural development and immune regulation.

Objective: To explore human papillomavirus (HPV) and vaccination related knowledge and vaccination willingness of college students in Guizhou Province and their related factors, so as to provide a basis for formulating targeted intervention strategies. Methods: From May to June 2025, by applying convenience sampling method,4 567 college students were selected from 8 universities in Guizhou Province to conduct a questionnaire survey. Awareness of HPV and vaccination related knowledge, vaccination willingness as well as related factors among college students were also analyzed. The t test and Chi square test were used for comparison between groups, and multifactor Logistic regression was employed to analyze the related factors of HPV vaccination willingness among college students. Results: The HPV and vaccine knowledge score of college students in Guizhou Province was ( 10.50 ±2.09), and the score of girls (10.81±1.82) was higher than that of boys (10.19±2.30) ( t=10.09, P <0.01). The HPV vaccination willingness rate of college students was 65.6%, and the rate was higher in girls than in boys (67.1%,64.1%, χ 2=4.75, P <0.05). Multi factor Logistic regression analysis showed that ethnicity and HPV testing were related factors that affected college students willingness to vaccinate (minority: OR boy =1.23, OR girl =1.35; previous HPV testing: OR boy =0.56, OR girl =0.59); boys willingness to vaccinate was related to the number of sexual partners ( OR =0.60), family history of cancer ( OR =0.65), and sexual behavior related HPV knowledge scores ( OR =0.89), while girls willingness to vaccinate was related to bisexual sexual orientation ( OR =0.59), previous HIV testing ( OR =0.60), and HPV and vaccine basic knowledge scores ( OR =0.86) (all P <0.05). Conclusions College students in Guizhou Province have higher HPV vaccine related knowledge scores and are more willing to vaccinate, and those above are higher in girls than in boys. Health education content should be optimized based on gender differences, and promote the willingness and behavior of HPV vaccination among college students.

Objective: To investigate the mediating role of vaccine literacy between vaccine knowledge and vaccine hesitancy and the moderating role of parental education level, so as to provide references for adjusting vaccination strategies. Methods: From May to December 2024, a stratified random sampling method was used to select 10 community hospitals in Guiyang and Zunyi City, Guizhou Province. A total of 1 401 parents of children aged 0-6 years were surveyed regarding their socio demographic characteristics, vaccine knowledge, vaccine literacy, and vaccine hesitancy levels. Data were analyzed using common method bias tests, Spearman correlation analysis, mediation and moderation effects tests. Results: The mean score for vaccine knowledge, vaccine literacy and vaccine hesitancy were (2.96±1.11, 14.25±2.64, 39.12±4.93) among the 1 401 participants. Mediating effect analysis showed that both parental vaccine knowledge ( β =1.28, 95% CI =1.08-1.49) and vaccine literacy ( β =0.75, 95% CI =0.66-0.84) positively predicted vaccine hesitancy (both P <0.01). Meanwhile, vaccine literacy accounted for 28.1% of the total effect of mediation between knowledge and vaccine hesitancy. In the moderated effects analysis, education level positively predicted vaccine literacy ( β =0.40, 95% CI =0.24-0.57), and education level moderated the pathway of vaccine knowledge on vaccine hesitancy ( β = 0.28 , 95% CI =0.05-0.52) (both P <0.01). Conclusions Vaccine literacy partially mediates the relationship between vaccine knowledge and vaccine hesitancy. Parental education level positively moderates the prediction of vaccine knowledge on vaccine hesitancy score.

BackgroundGenetic factor plays an important role in the pathogenesis of panic disorder. Previous studies have revealed that immune system dysregulation is closely related to mental disorders such as panic disorder， while the relationship between panic disorder and immune-related gene expression remains unclear. ObjectiveTo explore the relationship between the expression of CXCL8， IL6R， JUN， PTGS2， TGFBR1， TLR2， CCR4 genes and panic disorder， providing references for the diagnosis and treatment of panic disorder. MethodsA total of 52 patients who met the diagnostic criteria for panic disorder according to the Diagnosed and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） were enrolled at the Psychosomatic Medicine Center of Sichuan Provincial People's Hospital from January 2020 to March 2021. Another 72 healthy individuals matched for age and gender from Chengdu were concurrently recruited as control group. The Panic Disorder Severity Scale （PDSS） was used to assess the severity of symptoms in panic disorder patients. Quantitative real-time polymerase chain reaction （PCR） was used to detect gene expression levels in two groups. Spearman correlation analysis was adopted to determine the correlation between PDSS score and immune-related gene expression in research group. ResultsThe expression of the JUN， PTGS2 and TGFBR1 genes were significant higher in panic disorder patients than those in control group （Z=-4.172， -2.086， -3.018， P<0.05 or 0.01）. After false discovery rate （FDR） correction for multiple testing， the differential expression of JUN and TGFBR1 genes remained statistically significant between two groups （P<0.05）. There was no significant difference in the expression of CCR4， CXCL8， IL6R and TLR2 genes between two groups （P>0.05）. Correlation analysis revealed that the expression of the JUN gene in panic disorder patients was positively correlated with PDSS score （r=0.360， P<0.01）， while the CCR4， CXCL8， IL6R， PTGS2， TGFBR1 and TLR2 genes showed no statistically significant correlation with the PDSS score （P>0.05）. ConclusionThe expression of the JUN and TGFBR1 genes may be associated with panic disorder， and the expression of the JUN gene correlated with the severity of panic disorder. ［Funded by Science and Technology Plan Project of Sichuan Provincial Department of Science and Technology （number， 2021YJ0440）］

ObjectiveTo analyze the on-site technical evaluation results of the provincial-level health enterprises in Shandong Province. Methods A total of 88 provincial-level health enterprises in Shandong Province in 2021 were selected as the research subjects using the convenient sampling method. The scores of on-site technical assessments were analyzed. Results The total score of on-site technical evaluations for the 88 provincial health enterprises was (942.1±21.8) points. The scores for the first-level indicators, including management system, health environment, health management and services, and health culture, were (193.7±4.7), (191.6±5.2), (414.4±16.4), and (142.3±6.7) points, respectively. The score for health culture in large-sized enterprises was higher than that in medium-sized and below enterprises (P<0.05). State-owned enterprises had higher total scores than private enterprises and joint-stock enterprises (both P<0.05). The score for health management and services in the mining industry was higher than that in the manufacturing industry (P<0.05). Enterprises with high total investment in health promotion had higher scores for health culture than those with low investment (P<0.05). There were no significant differences in the scores for indicators of management system and health environment among enterprises of different sizes, natures, industries, and total investments in health promotion (all P>0.05). Conclusion The overall score of these 88 enterprises was higher than the standard for provincial health enterprises. Except for management systems and general environment, there were some differences in the scores for health management and services, and health culture assessments among enterprises of different sizes, natures, industries, and total investments in health promotion.

Background Heavy metals may play an important role in environmental risk factors associated disorders of activities of daily living (ADL) in older adults. Objective To investigate the associations between plasma levels of six heavy metals (zinc, arsenic, cadmium, lead, manganese, and copper) and ADL disorders in older adults. Methods A cross-sectional survey was conducted from 2018 to 2019 among 1412 rural elderly people in Gongcheng Yao Autonomous County, Guangxi Zhuang Autonomous Region. The plasma metal concentrations were detected by inductively coupled plasma mass spectrometry (ICP-MS), and subsequently classified into three groups (T1-T3) based on tertiles, with the T1 group as the reference. The samples were assessed for ADL disorders using the ADL scale. Logistic regression and restricted cubic spline model (RCS) were used to estimate the odds ratio (OR) and 95% confidence interval (CI) to assess the associations between heavy metals and the prevalence of reporting ADL disorders. Results The mean age of the study population was (68.52 ± 5.92) years, 825 (58.4%) female and 587 (41.6%) male. Of these, 372 (26.34%) subjects reported ADL disorders, and most of them were female (74.30%). The results of logistic regression showed that the participants in the cadmium T2 group (0.15-0.25 µg·L⁻¹) had a higher risk of ADL disorders compared to the T1 group (≤0.15 μg·L⁻¹) (OR=1.552, 95%CI: 1.086, 2.134). After stratification by sex, the relative risk of ADL disorders was lower in the plasma copper T3 group (>1019.58 µg·L⁻¹) compared to the T1 group (≤868.12 μg·L⁻¹) in men (OR=0.481, 95%CI: 0.232, 0.998). The relative risk of ADL disorders was higher in the plasma cadmium T2 group (0.15-0.25 µg·L⁻¹) compared to the T1 group (≤0.15 μg·L⁻¹) in women (OR=1.758, 95%CI: 1.182, 2.616). The RCS results showed that the risk of ADL disorders in men was nonlinearly associated with copper (P_nonlinear=0.011, P_overall<0.05). Conclusion High levels of cadmium are positively associated with the risk of reporting ADL disorders, while high levels of copper are negatively associated with the risk of reporting ADL disorders in men.

Background Mercury, as a global heavy metal pollutant, poses a serious threat to human health. The toxicity of mercury depends on its chemical form. Distinguishing the forms of mercury in the environment is of great significance for mercury management and reducing human mercury exposure risks. Objective To establish a non-targeted metallomics method based on synchrotron radiation X-ray fluorescence (SRXRF) spectroscopy combined with machine learning to screen inorganic mercury (IHg) or methylmercury (MeHg) exposed rice plants. Methods Rice seeds were exposed to ultra-pure water (control group), 0.1 mg·L⁻¹ IHg (IHg group) or MeHg (MeHg group) solutions, respectively. After germination, the seedlings were cultured for 21 d, and rice leaves were collected, dried, weighed, and pressed. The content of metallome in rice leaves was determined by SRXRF. Machine learning models including soft independent modeling cluster analysis (SIMCA), partial least squares discriminant analysis (PLS-DA), and logistic regression (LR) were used to classify the SRXRF full spectra of different groups and find the best model to distinguish rice exposed to IHg or MeHg. Besides, characteristic elements were selected as input parameters to optimize the model by improving computing speed and reducing model calculation. Results The SRXRF spectral intensities of the control group, IHg group, and MeHg group were different, indicating that exposure to IHg and MeHg can interfere the homeostasis of metallome in rice leaves. The results of principal component analysis (PCA) of SRXRF spectra showed that the control group could be well distinguished from the mercury exposed groups, but the IHg group and the MeHg group were mostly overlapped. The accuracy rates of the three models (PLS-DA, SIMCA, and LR) were higher than 98% for the training set, higher than 95% for the validation set, and higher than 94% for the cross-validation set. Besides, the accuracy of the LR model was higher than that of the PLS-DA model and the SIMCA model. Furthermore, the accuracy was 92.05% when using characteristic elements K, Ca, Mn, Fe, and Zn selected by LR to distinguish the IHg group and the MeHg group. Compared with the full spectra model, although the prediction accuracy of the characteristic spectral model decreased, the input parameters of the model decreased by 99.51%, and precision, recall, and F1 score were above 84.48%, indicating that the model could distinguish rice exposed to different mercury forms. Conclusion Non-targeted metallomics method based on SRXRF and machine learning can be applied for high-throughput screening of rice exposed to different forms of mercury and thus decrease the risks of people being exposed to mercury.

AIM:To study whether glycyrrhizic acid(GL)can resist the ototoxicity of cisplatin(CDDP)in mice and its molecular mechanism.METHODS:Male C57BL/6J mice were divided into 5 groups:control group,DMSO(5%)group,CDDP(4 mg/kg)group,CDDP+low-dose(50 mg/kg)GL group,and CDDP+high-dose(100 mg/kg)GL group(n=14).Auditory brainstem response(ABR)was used to detect hearing changes of mice.HE staining was used to observe the morphological change of cochlear stria vascular in mice.Evans blue(EB)staining was used to observe the per-meability change of the blood-labyrinth barrier(BLB).Immunohistochemical technique was used to detect the expression and distribution of adhesion protein VE-cadherin and tight junction protein ZO-1 on the cochlear stria.ELISA assay and immunofluorescence technology were employed to detect the expression of tumor necrosis factor-α(TNF-α)and interleu-kin-1β(1L-1β).RESULTS:In CDDP group,ABR waveforms of all frequencies were disturbed,the hearing threshold was significantly increased,and I wave latency was prolonged(P＜0.05).In CDDP+GL group,ABR waveforms of various frequencies were well differentiated,the hearing threshold was significantly decreased,and the latency of I-wave was shortened(P＜0.01).The disordered morphology and more vacuoles in the stria vascularis were observed by HE staining in CDDP group.The GL alleviated CDDP-induced damage in the stria vascularis.In EB staining,CDDP caused an increase in per-meability of BLB(P＜0.01),which was improved by GL treatment(P＜0.01).Immunohistochemical results showed that the expression of VE-cadherin and ZO-1 in CDDP group were decreased(P＜0.01),which was restored in CDDP+GL group(P＜0.01).The ELISA and immunofluorescence results showed that the expression of IL-1β and TNF-α was in-creased after CDDP treatment(P＜0.01),which was restored in CDDP+GL group(P＜0.01).CONCLUSION:The GL alleviates CDDP-induced hearing loss in mice by inhibiting CDDP-induced inflammation and reducing the permeability of BLB.

Objective To analyze and compare the clinical manifestations and imaging features of children with secondary massive cerebral infarction after acute subdural hematoma(ASDH),and to evaluate its potential risk factors in order to provide evidence for the prevention,early diagnosis and early treatment of secondary massive cerebral infarction after ASDH.Methods The clinical data of children with ASDH aged 4～12 years were retrospectively studied.All the children received routine operation.The diagnosis of post-traumatic secondary massive cerebral infarction(MCI)was based on low-density areas on CT images and clinical signs.Clinical and radiographic findings related to patient outcomes were reviewed and statistically compared.Univariate and multifactor Cox regression analysis was used to evaluate the MCI after operation to obtain the factors affecting MCI.Results A total of 67 cases were included in the study,with 32 cases included in the MCI group and 35 cases included in the non-MCI group.There were significant differences between MCI and non-MCI groups in age(t=2.016,P= 0.048),body mass(t=2.389,P=0.020),multiple injuries(χ2=11.121,P=0.001),GCS(Z=-4.730,P＜0.001),hematoma volume(χ2=12.890,P=0.002),MLS(χ2=12.261,P=0.002)and perioperative shock(χ2= 14.417,P＜0.001).GCS(OR=0.322,P=0.002),perioperative shock(OR=10.992,P=0.007),multiple injury(OR= 6.547,P=0.046)and MLS score(OR= 46.974,P=0.025)were major risk factors for MCI in children with ASDH.Conclusion Perioperative shock,multiple injuries,low GCS and MLS greater than 10mm are risk factors for MCI.The incidence of MCI is significantly increased in children with multiple risk factors.