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.

While pooled CRISPR screens have revolutionized functional genomics by enabling genome-scale interrogation, they have long faced a fundamental compatibility challenge with high-resolution microscopy-based phenotypes. The core issue lies in the technical disconnect between pooled screening formats, where cells are typically analyzed in bulk populations, and microscopy approaches that require spatial resolution and single-cell visualization. This limitation has created a significant blind spot in functional genomics, preventing researchers from systematically linking genetic perturbations to detailed subcellular architectural changes. To bridge this critical technological gap, a recent landmark study published in Developmental Cell has unveiled an integrated microscopy-based CRISPR screening platform that represents a paradigm shift in the field. The most innovative breakthrough of the platform involves extending photoactivation-based labeling techniques to fixed, immunostained cells, thereby overcoming a key limitation of prior approaches that were restricted exclusively to live-cell reporter systems. This methodological advancement allows researchers to capture transient cellular states and preserve delicate subcellular structures that would otherwise be lost in live-cell imaging scenarios. By seamlessly integrating this enhanced labeling approach with sophisticated automated imaging workflows and high-content analysis pipelines, the system enables unprecedented high-throughput, organelle-level phenotypic profiling at true single-cell resolution. The platform’s capabilities were demonstrated through its application to a comprehensive genome-wide screen for regulators of cilium assembly, a complex cellular process involving intricate cytoskeletal dynamics and membrane remodeling events. The screening results validated the platform’s robustness by successfully recapitulating known ciliary machinery components while simultaneously uncovering novel regulatory factors. Most notably, the study identified SMIM27/TZMP1, a conserved transition zone microprotein, as a previously unrecognized regulator of ciliary function. This discovery provides crucial insights into the molecular mechanisms governing ciliary transition zone barrier formation and selectivity. This accessible and versatile framework effectively overcomes longstanding bottlenecks in microscopy-based screening technologies, offering a generalizable strategy for dissecting organelle biology and cellular architecture at scale. The platform’s ability to combine genome-wide screening power with detailed morphological analysis opens new avenues for investigating cellular responses to genetic perturbations across diverse biological contexts.

The prevention and treatment of chronic obstructive pulmonary disease （COPD） pose a major global challenge， with difficulties in effectively integrating holistic regulation and precise micro-intervention. The traditional Chinese medicine （TCM） theory of state-target pattern differentiation and treatment advocates the combination of state regulation and target intervention， offering a new paradigm for integrated TCM and Western medicine. This article systematically reviews the theoretical connotations of this theory and constructs a dynamic correspondence framework linking TCM pattern states， signaling pathways， and targeted interventions across different stages of COPD. At the acute exacerbation stage， the phlegm-heat obstructing the lung state is characterized by hyperactivation of the nuclear factor （NF）-κB/NOD-like receptor protein 3 （NLRP3） inflammation pathway， and formulas for clearing heat and resolving phlegm suppress the cytokine storm through multi-component synergy. At the stable stage， the lung-spleen Qi deficiency state is characterized by functional decompensation of the nuclear factor erythroid 2-related factor 2 （Nrf2）/Kelch-like ECH-associated protein 1 （Keap1） antioxidative stress pathway， and therapies for tonifying the lung and spleen repair the essence of Qi deficiency through antioxidative defense and energy metabolism. At the severe/very severe stable stage， the lung-kidney deficiency state is pathologically based on dysregulation of the transforming growth factor （TGF）-β/Wnt repair network and depletion of stem/progenitor cells， and therapies for tonifying the kidney and reinforcing Qi absorption achieve simultaneous regulation of deficiency and stasis by inhibiting aberrant fibrosis and guiding ordered regeneration. These three pathways are not isolated but exhibit dynamic shifts in dominance and cross-talk， constituting the molecular network basis of deficiency causing excess and intermingled deficiency and excess. Furthermore， this article points out the current shortcomings in quantitative evidence， objective syndrome standardization， and coverage of syndrome states， and proposes future directions including building multi-omics databases， conducting biomarker-stratified randomized controlled trials， and developing disease-pattern combined animal models， aiming to provide a theoretical perspective that integrates holism and micro-targeting for precision prevention and treatment of COPD.

The prevention and treatment of chronic obstructive pulmonary disease （COPD） pose a major global challenge， with difficulties in effectively integrating holistic regulation and precise micro-intervention. The traditional Chinese medicine （TCM） theory of state-target pattern differentiation and treatment advocates the combination of state regulation and target intervention， offering a new paradigm for integrated TCM and Western medicine. This article systematically reviews the theoretical connotations of this theory and constructs a dynamic correspondence framework linking TCM pattern states， signaling pathways， and targeted interventions across different stages of COPD. At the acute exacerbation stage， the phlegm-heat obstructing the lung state is characterized by hyperactivation of the nuclear factor （NF）-κB/NOD-like receptor protein 3 （NLRP3） inflammation pathway， and formulas for clearing heat and resolving phlegm suppress the cytokine storm through multi-component synergy. At the stable stage， the lung-spleen Qi deficiency state is characterized by functional decompensation of the nuclear factor erythroid 2-related factor 2 （Nrf2）/Kelch-like ECH-associated protein 1 （Keap1） antioxidative stress pathway， and therapies for tonifying the lung and spleen repair the essence of Qi deficiency through antioxidative defense and energy metabolism. At the severe/very severe stable stage， the lung-kidney deficiency state is pathologically based on dysregulation of the transforming growth factor （TGF）-β/Wnt repair network and depletion of stem/progenitor cells， and therapies for tonifying the kidney and reinforcing Qi absorption achieve simultaneous regulation of deficiency and stasis by inhibiting aberrant fibrosis and guiding ordered regeneration. These three pathways are not isolated but exhibit dynamic shifts in dominance and cross-talk， constituting the molecular network basis of deficiency causing excess and intermingled deficiency and excess. Furthermore， this article points out the current shortcomings in quantitative evidence， objective syndrome standardization， and coverage of syndrome states， and proposes future directions including building multi-omics databases， conducting biomarker-stratified randomized controlled trials， and developing disease-pattern combined animal models， aiming to provide a theoretical perspective that integrates holism and micro-targeting for precision prevention and treatment of COPD.

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 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.