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.

Microorganisms are closely associated with human health, and their pathogenicity is a key factor in various infectious diseases, particularly in dentistry, where they contribute to common conditions such as dental caries, periodontitis, and oral mucosal diseases. Accurate and rapid microbial detection is crucial for early diagnosis, targeted therapy, and disease prevention. Conventional methods, including bacterial culture and molecular biological assays, offer specificity but are limited by long detection cycles, complex procedures, and dependence on laboratory conditions. Terahertz (THz) spectroscopy has emerged as a promising tool in microbial detection due to its non-ionizing nature, high sensitivity, and specific responses to water molecules and biomacromolecules. Integrating THz time-domain spectroscopy, near-field imaging, and metamaterial-enhanced techniques, studies have demonstrated the ability of this approach to effectively distinguish bacteria, fungi, and yeast, differentiate gram-positive and gram-negative bacteria, and even assess bacterial viability. Machine learning has further enhanced feature extraction and classification accuracy, and THz-based methods have shown notable advantages in multi-class microbial identification, detection of antibiotic-resistant strains, and quantitative analysis of microbial concentrations. However, current THz technologies are still constrained by strong water absorption, limited penetration depth, and the lack of standardized spectral databases. Future efforts should focus on mitigating water background interference, improving detection in complex samples, and establishing unified microbial spectral standards. This review systematically summarizes the latest advances of THz technologies in microbial detection, analyzes their mechanisms, advantages, and translational challenges, and proposes directions for future research.

Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.

ObjectiveTo investigate the association of serum exosomal microRNAs （miRNAs） with hepatic inflammatory injury and histological outcomes in patients with chronic hepatitis B （CHB）. MethodsPeripheral serum samples were collected from six healthy adults and six patients with CHB， and size exclusion chromatography was used to extract exosomes. Small RNA sequencing and transcriptomic analysis were used to identify the serum exosomal miRNAs associated with liver inflammatory injury and fibrosis， and quantitative real-time PCR was used for validation in a mouse model of acute liver injury induced by lipopolysaccharide/D-galactosamine， a rat model of liver fibrosis induced by carbon tetrachloride， and 84 CHB patients undergoing liver biopsy twice before and after treatment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups； an analysis of variance was used for comparison between multiple groups， and the Tukey test was used for further comparison between two groups. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the Kruskal-Wallis H test was used for comparison between multiple groups， and the Dunn test was used for further comparison between two groups. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The univariate and multivariate Logistic regression analyses were used to investigate influencing factors. ResultsAbnormal expression of serum exosomal miR-122-5p was observed in patients with CHB， and it was downregulated in patients with confluent necrosis and advanced fibrosis. In the mouse model of acute liver injury and the rat model of liver fibrosis， compared with the control group， the model group had a significant reduction in the expression level of miR-122-5p in the liver （P=0.048 and 0.014）， and compared with the patients with mild liver injury， the patients with severe confluent necrosis and advanced fibrosis showed a significant reduction in the expression level of miR-122-5p in liver tissue （P<0.05）. Among the 84 CHB patients， the patients with severe hepatic confluent necrosis or advanced liver fibrosis had a significantly lower expression level of serum exosomal miR-122-5p than those with mild liver injury （P<0.001 and P=0.003）. The multivariate Logistic regression analysis showed that the expression level of miR-122-5p was an independent influencing factor for confluent necrosis （odds ratio ［OR］=0.001， 95% confidence interval ［CI］： 0.000‍ ‍—‍ ‍0.037， P=0.005） and liver fibrosis degree （OR=0.568， 95%CI： 0.331‍ ‍—‍ ‍0.856， P=0.019）. In addition， compared with the patients with low expression of miR-122-5p， the patients with high expression of miR-122-5p before treatment had a significantly higher reversal rate of liver fibrosis after 72 weeks of antiviral therapy （64.3% vs 38.1%， P=0.029）. ConclusionSerum exosomal miR-122-5p in CHB patients is closely associated with the progression of hepatic confluent necrosis and fibrosis， and the reduction in the expression level of miR-122-5p may aggravate hepatic confluent necrosis， promote the progression of fibrosis， and affect the histological outcome of CHB patients after antiviral therapy.

Objective To propose a whole-life cycle management model for valvular heart disease (VHD), systematically elucidate its underlying logic and implementation pathways, and concurrently review and analyze its preliminary application outcomes. Methods Since 2020, West China Hospital of Sichuan University has established a management system encompassing "assessment-decision-intervention-follow-up", including: (1) a risk-stratified, tiered management pathway; (2) six core functions ("promotion, screening, prevention, diagnosis, treatment, and rehabilitation") coordinated by disease-specific managers; (3) an intelligent decision support information platform; and (4) a collaborative network of multidisciplinary teams and regional academic alliances. To evaluate the effectiveness of this management model, we retrospectively included three cohorts: (1) the population screened by echocardiography from 2020 to 2024, analyzing the detection rate of aortic valve disease and risk stratification; (2) patients enrolled in the whole-life cycle management from April 2021 to December 2024, assessing follow-up outcomes, hospital satisfaction, and changes in quality of life; (3) patients who underwent transcatheter aortic valve replacement (TAVR) from January 2022 to January 2024, evaluating the one-year all-cause mortality rate, perioperative complications, and improvements in New York Heart Association (NYHA) classification. Results Between 2020 and 2024, a total of 583 874 individuals underwent echocardiographic screening. A total of 48 089 patients with aortic valve disease were identified, including 3 401 (7.1%) high-risk patients, 18 657 (38.8%) moderate-risk patients, and 26 031 (54.1%) low-risk patients. Among them, 2 417 patients were enrolled in whole-life cycle management. Patient satisfaction scores showed a yearly increase, rising from 73.89 points before 2020 to 93.74 points in 2024. The 1-year mortality rate in the TAVR cohort decreased to 5.3%, significantly lower than the 8.2% observed under early standard management between 2014 and 2019 (P<0.01). Conclusion Through process optimization and resource integration, the VHD whole-life cycle management model has demonstrated significant effectiveness in standardizing diagnostic and follow-up procedures, enhancing patient satisfaction and quality of life, and reducing mortality. These outcomes highlight its practical value for broader implementation in China.

Objective To investigate the protective effects of paeonol(PAE)on autophagy in human neuroblastoma cells(SH-SY5Y)induced by overexpression of α-synuclein(α-Syn),and to explore its related mechanism.Methods SH-SY5Y cells served as control group,while those induced with A53T-α-Syn mutation were used as model group.Additional groups included PAE(150 μg/ml)group,3-MA(1 mmol/L)group,and PAE(150 μg/ml)+3-MA(1 mmol/L)group.Cell viability was assessed using CCK-8 method,cell morphology was observed under an optical microscope,and protein expressions of α-Syn,LC3-Ⅱ,p62,Beclin-1,phosphorylated c-Jun N-terminal kinase(p-JNK),and p-Bcl-2 were determined by Western blotting.Results Compared with control group,model control exhibited decreased cell survival(P＜0.01),increased α-Syn expression(P＜0.001),reduced expression of autophagy-related proteins LC3-Ⅱ and Beclin-1(P＜0.01,P＜0.05),elevated autophagy substrate protein p62(P＜0.05),and decreased expression of autophagy pathway-related proteins p-JNK and Bcl-2(P＜0.05,P＜0.01).Compared with model group,PAE group showed increased cell survival(P＜0.01),decreased α-Syn and p62 protein expression(P＜0.01,P＜0.05),and increased expression of LC3-Ⅱ,Beclin-1,p-JNK and Bcl-2(P＜0.05).Compared with PAE group,3-MA+PAE group demonstrated increased α-Syn expression(P＜0.05).Conclusions PAE could attenuate the injury of SH-SY5Y cells induced by A53T-α-Syn and eliminate over-expressed α-Syn by activating autophagy pathway,which may be associated with the upregulation of JNK/Bcl-2 mediated autophagy pathway.

Objective To explore the enzymatic reaction kinetics of metoprolol tartrate in an in vitro human liver microsome incubation experiment and to explore the effect of famotidine on the metabolism of metoprolol tartrate.Methods An LC-MS/MS method was developed to accurately measure the concentration of metoprolol tartrate in a human liver microsomal incubation system.A human liver microsome incubation system was established to determine the optimal incubation time and protein concentration;using the substrate depletion method,the enzymatic reaction kinetics parameters of metoprolol tartrate(such as Vmax and Km).Series concentrations of famotidine were co-incubated with metoprolol tartrate,and the concentration of metoprolol tartrate was measured to evaluate the effect of famotidine on its metabolism.Results The optimal incubation time for metoprolol tartrate in human liver microsomes was found to be 60 minutes,with an optimal protein concentration of 1.0 mg/mL.The enzymatic reaction kinetics parameters were Vmax=0.07 μmol/min/mg protein and Km=7.84 μmol/L.Conclusion The results indicated that famotidine did not produce a significant inhibitory effect on the metabolism of metoprolol tartrate in human liver microsome incubation system,suggesting that the combination of these two drugs may be relatively safe.

ObjectiveTo identify key factors influencing cognitive function in the elderly, including traditional Chinese medicine (TCM) constitutional classification, and to rank their relative importance.MethodsWe used cross-sectional data from seven geographical regions across mainland China. The Changsha version of the Montreal Cognitive Assessment was used to assess cognitive function. A “least absolute shrinkage and selection operator” (LASSO) model, multivariate linear regression analysis, and random forest (RF) model were used. Subgroup analyses were performed to examine the correlation between key TCM constitution types and cognitive function in different population subgroups.ResultsA total of 24 803 individuals aged 60 and above were included in the study. We selected 18 influential factors using the LASSO model. Higher education, being married, and having insurance were positively correlated with cognitive function in the elderly (all P .05). In contrast, poor sleep, vision impairment, hearing impairment, basic activities of daily living disability, instrumental activities of daily living disability, depression, hypertension, coronary heart disease, diabetes, stroke, yang-deficiency constitution (YADC), yin-deficiency constitution (YIDC), qi deficiency constitution (QDC), and blood stasis constitution (BSC) were negatively correlated with cognitive function (all P .05). YIDC and BSC affected all dimensions of cognitive function (all P .05). YADC mainly affected attention, language, abstraction (verbal analogies), memory, and orientation to time and place dimensions (P .001). QDC mainly affected language and abstraction (verbal analogies) dimensions (P .05). The negative correlations between BSC, YADC, YIDC, and QDC scores and cognitive function revealed statistically significant differences across most subgroups. The RF model identified education, BSC, and poor sleep quality as the three most influential factors in our study.ConclusionBSC, YADC, YIDC, and QDC were associated with cognitive decline in the elderly. Our findings provide new perspectives and significant references for interventions for early-stage cognitive disorders.

Objective:To investigate the influence of different ratios of contrast agent(CA)to saline on image quality of coronary computed tomography angiography(CCTA)in dual-flow injection technique.Methods:A prospective study included 102 patients who were clinically diagnosed as suspected coronary heart disease(CHD)to undergo CCTA scan at Beijing Friendship Hospital,Capital Medical University,between March 2024 and October 2024.Ultimately,90 patients were enrolled,who adopted CA injection protocol of dual-flow injection technique.Patients were randomly divided into three groups using a random number table,with 30 patients in each group.The different ratios of CA to saline were adopted,which were respectively Group A(1:9),Group B(2:8),and Group C(3:7).For the reconstructed images,the computed tomography(CT)values of heart-related anatomical structures,which included superior vena cava,right atrium,right ventricle,left atrium,left ventricle,interventricular septum and each segment of the coronary artery,were measured respectively.At the same time,two radiologists,who possessed over 10 years of diagnostic experience of CCTA examination,conducted subjective evaluations for image quality.For the cases of disagreement,the consensus between them was reached through discussion.Results:In three groups,the total CA doses were respectively(42.75±5.22)ml,(47.08±5.83)ml and(50.64±6.29)ml,and the differences of that among the three groups was statistically significant(F=13.964,P<0.05).The differences of CT values of superior vena cava,right atrium,right ventricle,left atrium,left ventricle and aorta among three groups were significant(F=29.141,24.194,39.308,9.643,8.178,6.881,P<0.05).There were significant differences in the CT values of the proximal,mid,and distal segments of the left anterior descending(LAD),and the proximal and mid segments of the left circumflex(LCx)and right coronary artery(RCA)among three groups(F=7.114,9.106,3.851,6.075,4.025,7.349,5.756,P<0.05).However,there was not statistically significant difference was found among the three groups in the CT value of the distal segments of the LCx and RCA(P>0.05).There were significant differences in the subjective scores for the superior vena cava,right atrium and right ventricle among the three groups(H=8.939,29.105,32.180,P<0.05).The number of cases with 3-4 points at the superior vena cava,right atrium and right ventricle were respectively 25(83.3%),29(96.7%)and 30(100%)in group B,there was no case with 1 point.In addition,the imaging quality of right heart in group B was better than that in group A and C.There were no significant differences at left atrium,left ventricle,and each segment of coronary artery among three groups(P>0.05).Conclusion:For patients with clinically non-extreme body weight,the selection of the ratio(2:8)of CA to saline can effectively show relevantly anatomic structures of heart,and coronary artery vessels,including the right heart system,which belongs to the optimal solution.

Objective To explore the risk factors for premature delivery after transvaginal cervical cerclage,construct and validate a predictive model.Methods A total of 209 single-tonsus cervicitis patients who underwent McDonald cervical ring ligation at the Third Affiliated Hospital of Zhengzhou University from January 2022 to December 2024 were selected as subjects,and they were divided into preterm group(n=86)and full-term group(n=123)according to the postoperative pregnancy outcomes.LASSO regression analysis was used to screen variables,and the prediction model was constructed by multivariate Logistic regression.The performance of the model was evaluated by receiver operating characteristic curve,calibration curve and decision curve.Results Body mass index,amniotic sac protrusion,preoperative white blood cell,and cervical length before cerclage＜25mm were identified as independent risk factors for preterm birth(P＜0.05).The prediction model demonstrated an area under the curve of 0.823(95％CI:0.765-0.881),with sensitivity of 77.91％and specificity of 77.24％.Both the calibration curve and decision analysis confirmed the model's strong consistency and clinical net benefit.Conclusion The predictive model constructed in this study has a good predictive effect and can be used as a reference for the stratification of preterm risk after cervical cerclage.