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.

Chronic eczema has a high prevalence in China， significantly impacting patients’ quality of life. Leveraging the unique advantages of pattern identification/syndrome differentiation and treatment， along with a holistic approach， traditional Chinese medicine （TCM）， which integrates internal and external therapies， has been widely applied in the management of chronic eczema. It has demonstrated significant efficacy and distinctive strengths in alleviating symptoms， reducing recurrence rates， maintaining disease stability， and enhancing patients’ quality of life. Oral administration of TCM（e.g. modified Longdan xiegan decoction） can improve patients’ clinical symptoms through systemic regulation. External use of TCM can directly act on the skin lesion with the help of steaming and washing， hydropathic compress， ointment and other forms. At the same time， it can effectively relieve the clinical symptoms of chronic eczema by combining with non-drug therapies such as acupuncture， moxibustion， acupoint catgut embedding， blood-letting puncture and cupping. In addition， characteristic therapies such as oral administration of TCM combined with external treatment， a combination of various external treatments and a combination of Chinese and Western medicine have also demonstrated certain advantages in regulating immune function， alleviating skin lesions， and relieving itching symptoms. These therapies cooperate with each other， creating a synergistic effect that treats both the symptoms and the root cause simultaneously. It is suggested that more high-quality， large-scale clinical research should be conducted in the future to systematically confirm the therapeutic advantages of TCM and further explore the specific molecular mechanism of action.

Aromatherapy refers to the method of using the aromatic components of plants in appropriate forms to act on the entire body or a specific area to prevent and treat diseases. Essential oils used in aromatherapy are hydrophobic liquids containing volatile aromatic molecules， such as limonene， linalool， linalool acetate， geraniol， and citronellol. These chemicals have been extensively studied and shown to have a variety of functions， including reducing anxiety， relieving depression， promoting sleep， and providing pain relief. Terpenoids are a class of organic molecules with relatively low lipid solubility. After being inhaled， they can pass through the nasal mucosa for transfer or penetrate the skin and enter the bloodstream upon local application. Some of these substances also have the ability to cross the blood-brain barrier， thereby exerting effects on the central nervous system. Currently， the academic community generally agrees that products such as essential oils and aromatherapy from aromatic plants have certain health benefits. However， the process of extracting a single component from it and successfully developing it into a drug still faces many challenges. Its safety and efficacy still need to be further verified through more rigorous and systematic experiments. This article systematically elaborated on the efficacy of aromatic substances， including plant extracts and natural small molecule compounds， in antibacterial and antiviral fields and the regulation of nervous system activity. As a result， a deeper understanding of aromatherapy was achieved. At the same time， the potential of these aromatic substances for drug development was thoroughly explored， providing important references and insights for possible future drug research and application.

BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Establishing a one-stop diagnosis and treatment mode centered on patients and linked by diseases is of great significance for optimizing the medical process and improving the medical experience. In March 2024, a tertiary hospital integrated pediatric outpatient and emergency resources, established a pediatric diagnosis and treatment island through reasonable department settings, strengthened talent team construction, optimized diagnosis and treatment processes, and established supporting guarantee mechanisms. It was officially put into use in June of the same year, providing one-stop diagnosis and treatment services for children and achieving the goal of " not leaving the island for minor illnesses and not leaving the hospital for major illnesses". Before the operation of island (January May 2024), the complaint rate and waiting time for pediatric outpatient and emergency department were 39 cases per 100 000 patients and 15 to 30 minutes, respectively; After operation (June August 2024), the complaint rate and waiting time decreased to 17 cases per 100 000 people and 10 to 20 minutes respectively; The average monthly comprehensive income of outpatient and emergency departments increased by 33%. The pediatric diagnosis and treatment island mode could assist in the sustainable high-quality development of pediatrics in hospital, and provide references for optimizing outpatient and emergency department management in other tertiary public hospitals. In the future, we should further enrich the service content of the island and strengthen information technology construction.

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）］

Objective To investigate traditional Chinese medicine(TCM)syndrome characteristics associated with immunotherapy efficacy in cervical cancer using propensity score matching(PSM),aiming to identify the population benefiting from immunotherapy.Methods A retrospective analysis was conducted in 253 cervical cancer patients,who received the treatment with programmed death receptor 1(PD-1)inhibitors at Guang'anmen Hospital,China Academy of Chinese Medical Sciences from January 2020 to October 2024.Clinical data and TCM four-examination data were collected.After balancing the confounders via PSM(1∶1 matching)and with therapeutic efficacy as the dependent variable,multivariate logistic regression was performed to analyze the characteristics of TCM syndrome in the immunotherapy-response group and then a predictive model was constructed.Results(1)After matching with PSM,198 cases were included,99 cases in response group and 99 cases in non-response group.(2)Analysis of the distribution of TCM syndrome elements showed that the differences in the pathogenic syndrome elements of qi deficiency,qi stagnation,blood stasis,heat and phlegm between the two groups were statistically significant(P＜0.05 or P＜0.01),while there were no statistically significant differences in the disease-location syndrome elements of uterus,kidneys,lungs,spleen,liver,and heart,as well as in the pathogenic syndrome elements of blood deficiency,yin deficiency,yang deficiency,cold,and dampness(P＞0.05).The main pathogenic syndrome elements in the response group were qi deficiency,blood deficiency and heat,while those in the non-response group were qi stagnation,heat and phlegm.(3)The results of univariate regression analysis showed that targeted therapy(P=0.040),programmed cell death-ligand 1(PD-L1)expression level(P＜0.001),qi deficiency(P=0.009),blood deficiency(P＜0.001),yang deficiency(P＜0.001),yin deficiency(P＜0.001),qi stagnation(P=0.003),blood stasis(P＜0.001),cold(P＜0.001),cold(P＜0.001),heat(P＜0.001),phlegm(P＜0.001),and dampness(P＜0.001)were the factors associated with the efficacy of PD-1 inhibitors.(4)The results of multivariate logistic regression analysis showed that previous targeted therapy(OR=0.36,95%CI:0.16-0.83)and pathogenic syndrome elements of qi stagnation(OR=0.23,95%CI:0.10-0.49),phlegm(OR=0.28,95%CI:0.13-0.61)were the risk factors of associated with the efficacy of PD-1 inhibitors,while PD-L1 expression level(OR=15.27,95%CI:2.60-89.63),and pathogenic syndrome element qi deficiency(OR=2.90,95%CI:1.42-5.89)were the protective factors associated with the efficacy of PD-1 inhibitors in cervical cancer.(5)Receiver operating characteristic(ROC)curve analysis demonstrated that the area under the ROC curve(AUC)of the predictive model for evaluating PD-1 inhibitor efficacy in cervical cancer was 0.78(95%CI:0.71-0.84),indicating certain predictive value.Conclusion PD-L1 expression level and TCM pathogenic syndrome elements such as qi deficiency,qi stagnation,and phlegm are the independent factors influencing PD-1 inhibitor efficacy in cervical cancer,providing insights for optimizing integrated TCM-western medicine treatment strategies.

Space medicine,as a comprehensive discipline ensuring the safety,health,and efficient performance of astronauts during manned space missions,focuses on elucidating the underlying mechanisms of multi-system physiological effects induced by extreme space environments and developing corresponding protective strategies.With China's space program transitioning into an application and development phase,space medical experiments—a critical domain within space applications—face significant opportunities and challenges.This paper reviews the international development trend in the field of medical experiments and the progress in China from perspectives including platform system construction,utilization of novel technologies,and scientific discoveries.It further outlines the engineering framework,guiding ideology,and key research directions for space medical experiments under China's Space Station Application and Development Project.Deliberations and prospects center on the in-depth analysis of the adaptation law of life in space flight,the application of big data and artificial intelligence technology,the emerging challenges it faces,and the scientific research organization models.This work aims to provide a reference for the development of space medical experiment field in China.