Objective To analyze the factors influencing occupational health literacy (OHL), work-related musculoskeletal disorders (WMSDs), and occupational stress in medical staff, and to investigate the potential associations between OHL and WMSDs as well as occupational stress. Methods A total of 880 medical staff members from 18 medical institutions were selected as the study subjects using a probability proportional method. Data on OHL, WMSDs, and occupational stress were investigated using the National Key Populations Occupational Health Literacy Surveillance Individual Questionnaire (including the Musculoskeletal Disorders Questionnaire and the Core Occupational Stress Scale), and the influencing factors and potential relationships were analyzed. Results The OHL level was 63.1%, the prevalence of WMSDs was 88.1%, and the detection rate of occupational stress was 24.0% in the study subjects. Multivariable logistic regression analysis showed that female medical staff had lower OHL levels than males (P<0.05). Medical staff with higher education levels and those working in higher-level medical institutions had higher OHL levels (all P<0.05). Medical staff working >40-<49 hours per week and those working ≥49 hours per week had higher OHL levels than those working ≤40 hours per week (all P<0.01). Medical staff with higher education levels or longer working hours had a higher risk of WMSDs (all P<0.05). Medical staff with lower monthly personal income, longer weekly working hours, and lower OHL levels had a higher risk of occupational stress (all P<0.05), and those working night shifts had a higher risk of occupational stress than those who did not (P<0.01). Conclusion The study participants had a relatively high level of OHL, a high prevalence of WMSDs, and a low detection rate of occupational stress. It is recommended that medical institutions effectively implement occupational health promotion and support measures to improve the OHL level of medical staff, to reduce the risk of WMSDs and occupational stress.

As an extension of the central nervous system, the retina is the only tissue in the body that allows direct in vivo observation of both neural and vascular structures, offering a unique non-invasive window for the assessment of cerebral neurovascular diseases. Recent studies have shown that multimodal imaging techniques—such as fundus photography, optical coherence tomography(OCT), and OCT angiography(OCTA)—enable quantitative analysis of retinal indicators including vascular caliber, fractal dimension, retinal nerve fiber layer thickness, and microvascular density. These metrics can, to some extent, reflect the severity and progression risk of cerebrovascular and neurodegenerative diseases such as stroke, Alzheimer's disease, and Parkinson's disease. Consequently, retinal imaging holds promise as a powerful tool for early screening, risk stratification, and treatment monitoring. This article systematically reviews the application of retinal imaging technologies in the diagnosis and management of cerebral neurovascular disorders, with a particular focus on the important role of artificial intelligence(AI)-driven image analysis in enhancing screening efficiency, improving risk assessment accuracy, and promoting multidisciplinary collaborative care, thereby providing insights for clinical translation.

Osteoporosis is a common senile bone metabolism disease， clinically characterized by decreased bone mass， destruction of bone microstructure， increased bone fragility， and easy fracture. It tends to occur in the elderly and postmenopausal women， seriously threatening the quality of life and physical and mental health of the elderly. At present， the treatment of osteoporosis is mainly based on oral western medicines， such as calcium， Vitamin D， and bisphosphonates. Still， there are drawbacks such as a long medication cycle and many adverse reactions. In recent years， due to the advantages of multi-component， multi-pathway， and multi-target， some traditional Chinese medicines and effective ingredients can regulate the osteogenic and osteoclastic differentiation process in both directions and are widely used in the prevention and treatment of osteoporosis. Hippophae rhamnoides is a commonly used herbal medicine， and its fruits are rich in flavonoids， polyphenols， fatty acids， vitamins， and trace elements， which have been proven to have a good anti-osteoporosis effect. Isorhamnetin is the main effective ingredient of Hippophae rhamnoides fruits， which has many pharmacological effects such as anti-inflammation， anti-oxidative stress， anti-aging， and anti-tumor. Studies have shown that isorhamnetin can participate in the regulation of bone metabolism and has a good anti-osteoporosis effect. However， the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis have not been systematically summarized. Therefore， this paper reviewed the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis by referring to relevant literature to provide more basis for the development and application of isorhamnetin.

Objective To identify co-expressed genes and potential comorbidity mechanisms between Alzheimer's disease(AD)and epilepsy with publicly available single-cell transcriptome sequencing data from human brains,fol-lowed by functional validation in APP/PS1 double transgenic AD mouse models expressing the chimerical Mo/HuAPP695swe amyloid precursor protein and mutant PS1-dE9 presenilin 1.Methods The single-cell transcriptome sequencing data of brain tissue from AD and epilepsy patients were collected from gene expression omnibus(GEO)database followed by cell clustering,differential expression analysis and gene ontology(GO)func-tional enrichment analysis using R-based tools such as Seurat and cluster Profiler and video electroencephalogram (vEEG)monitoring and Western blot experiments.Results A total of eight major brain cell types were identified,with neurons and glial cells exhibiting shared differentially expressed genes between AD and epilepsy.These co-ex-pressed genes were significantly clustered in pathways related to metal ion homeostasis,synaptic transmission,oxi-dative stress,and immune activation,which suggested common pathological mechanisms involving in synaptic dys-function and neuro-inflammation in both disorders.The vEEG recordings of APP/PS1 mouse model of AD showed 30％of mice exhibited high-frequency epileptic seizures,while 70％showed low-frequency seizure activity.Subse-quent validation in the prefrontal cortex of AD mice confirmed up-regulated expression of key molecular markers(HES5,c-FOS,and RPL10A)identified through single-cell sequencing analysis.Conclusions AD and epilepsy share gene co-expression profiles and functional pathways in specific cell types.The results of research provide a theoretical support for further elucidating their comorbidity mechanisms and developing targeted therapeutic strategy.

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome elements in type 2 diabetes mellitus （T2DM） patients based on maximum body mass index （maxBMI） and explore their association with complication risks. MethodsA retrospective cross-sectional study was used to collect clinical data from hospitalized T2DM patients， extracting age， gender， smoking history， alcohol consumption history， duration of disease， HbA1c level， complications， and TCM syndromes， and extracting the syndrome elements of disease location and disease nature based on their TCM syndromes. MaxBMI was calculated by telephone survey of patients' self-reported maximum body weight； patients with maxBMI ≥24 kg/m² were classified into spleen-heat syndrome group， and those with maxBMI ＜24 kg/m² were classified into consumptive-heat syndrome group. The distribution of TCM syndrome types and syndrome elements of patients in the two groups were analysed. Then the propensity score matching method was used to balance the baseline characteristics between the two groups and compare the differences in the distribution of syndrome types and syndrome elements and the risk of macrovascular and microvascular complications between the two groups. ResultsAmong the 1178 T2DM patients， syndrome elements in spleen-heat patients （1034 cases） were primarily located in the spleen （351 cases， 33.95%）， liver （240 cases， 23.21%）， and stomach （139 cases， 13.44%）， while in consumptive-heat patients （144 cases）， they were concentrated in the spleen （57 cases， 39.58%）， liver （34 cases， 23.61%）， and kidneys （17 cases， 11.81%）； regarding syndrome elements of disease nature， spleen-heat patients were predominantly characterized by qi deficiency （481 cases， 46.52%）， phlegm （353 cases， 22.73%）， and dampness （241 cases， 23.31%）， whereas consumptive-heat patients showed more qi deficiency （84 cases， 58.33%） and yin deficiency （44 cases， 30.56%）. After propensity score matching， 132 cases were included in each group， and no statistically significant differences were observed in the distribution of syndrome elements of disease location between the two groups （P＞0.05）， but the phlegm element was significantly more prevalent in spleen-heat patients than in consumptive-heat patients （P = 0.006）. Regarding the risk of complications， spleen-heat patients had a significantly higher risk of developing macrovascular complications compared to consumptive-heat patients （OR=2.04， P=0.010）， while no significant differences were found between groups in the occurrence of microvascular complications （P＞0.05）. ConclusionThe spleen-heat T2DM patients show a more frequent syndrome element of disease nature of phlegm， and a higher risk of developing macrovascular complications compared to consumptive-heat patients.

Objective:To understand the incidence trend of brucellosis over time in Shandong Province from 2004 to 2023, and provide evidence for the prevention and control of brucellosis.Methods:The incidence data of brucellosis in Shandong from 2004 to 2023 were collected from China Disease Prevention and Control Information System. The annual change percentage (APC) and annual average change percentage (AAPC) of the incidence rate were calculated by using Joinpoint regression model. A age-period-cohort model was used to analyze changes in brucellosis incidence with age, period, and birth cohort.Results:The average annual incidence of brucellosis was 1.76/100 000 in Shandong from 2004 to 2023. The Joinpoint regression analysis results showed that the reported incidence of brucellosis increased by an average of 92.0% and 18.9% each year from 2004 to 2010 and from 2010 to 2014, respectively, and decreased by an average of 0.2% each year from 2014 to 2023. The results of APC model showed that the incidence of brucellosis increased first and then decreased with age ( χ2=176.92, P<0.001), and incidence of brucellosis showed slow increase and rapid increase first, then decrease ( χ2=2 921.03, P<0.001) over time. The risk for brucellosis reached peak in 2016 ( RR=5.29, 95% CI: 4.96-5.65) and became the lowest in 2006 ( RR=0.24, 95% CI: 0.21-0.28). The incidence increased in later birth cohort ( χ2=348.88, P<0.001), the AAPCs of all the age groups were between 15.0% and 40.0%, and the older the age, the greater the risk ( χ2=348.77, P<0.001). Conclusions:From 2004 to 2023, the reported incidence of brucellosis in Shandong showed a significant age-period-cohort effect, which increased first and then decreased, first increased and then decreased with age, increased slowly and rapidly first, then decreased over time, and increased in later birth cohort. It is necessary to conduct targeted prevention and control, health education to reduce the risk for brucellosis.

Objective:To investigate the gender differences in the causal relationship between testosterone-related hormones and type 2 diabetes mellitus(T2DM), and to analyze the mediating role of blood lipids in this relationship.Methods:Using two-sample Mendelian randomization(TSMR) and two-step Mendelian randomization(MR) methods, we explored the causal associations between testosterone-related hormones, T2DM, and blood lipids in different genders. The potential mediating role of blood lipids between testosterone-related hormones and T2DM was quantitatively assessed using multivariate Mendelian Randomization(MVMR).Results:In males, each standard deviation( SD) increase in genetically predicted total testosterone(TT) was associated with lower odds of T2DM( OR=0.90, 95% CI 0.82-0.97, P=0.009) and higher high-density lipoprotein-cholesterol(HDL-C) level( β=0.08 SD, 95% CI 0.03-0.13, P=0.002). In women, each SD rise in genetically predicted bioavailable testosterone(Bio-T) was associated with higher odds of T2DM( OR=1.24, 95% CI 1.10-1.40, P<0.001), lower HDL-C level( β=-0.13 SD, 95% CI -0.21--0.05, P<0.001). Mediation analysis revealed that HDL-C played a mediating role(7.83%) between Bio-T and T2DM in women. However, HDL-C showed no mediating effect between SHBG and TT levels on T2DM, and low-density lipoprotein-cholesterol(LDL-C) showed no mediating effect between TT levels on T2DM in men. Conclusions:Lower levels of TT and SHBG in men, and high levels of Bio-T in women may increase the risk of T2DM. In women, regulating HDL-C levels may offer a potential strategy for the prevention and treatment of T2DM related to Bio-T disorders.

Objective:To explore the movement patterns and factors influencing lung tumors tracked using the M6 cyberknife stereotactic radiotherapy(SRT)system and to provide a reference for the implementation of precise stereotactic radiotherapy for lung tumors.Method:A retrospective analysis was conducted on 29 patients with lung tumors who were treated using x-sight lung tracking technology and the M6 cyberknife SRT system at Tianjin Medical University Cancer Institute&Hospital,from January 2022 to August 2024.The tumor location and volume,irradiation dose,isodose line,and number of divisions were recorded.Lung tumor location and SPSS 26.0 software were used to analyze the movement amplitude of tumors in the left and right(LFT/RGT,LR)directions,the anterior-posterior(ANT/POS,AP)direction,and the superior-inferior(SUP/INF,SI)direction.The results are expressed as the mean±standard deviation((x)±s)mm,and a t-test was used for inter-group comparisons.Multiple linear regression was used to analyze the effects of factors such as age,gender,tumor location(upper and lower lungs),and tumor volume on the amplitudes of the lung tumor movements.Result:The average motion amplitudes in the LR direc-tions,AP direction,and SI direction of the tumor target areas were(3.5±1.8)mm,(5.3±1.7)mm,and(7.3±5.4)mm for the upper lung,based on 19 cases,and(3.1±1.6)mm,(4.5±2.2)mm,and(12.2±4.4)mm for the lower lung,based on 10 cases,respectively.There was a statistic-ally significant difference(P=0.015 3)in the amplitude of movements between the lower and upper lung tumors in the SI direction.The lung tumor movement amplitude in the SI direction was influenced by tumor location(P=0.035),and the movement amplitudes in the LR direc-tions and the AP direction were not related to factors such as gender,age,tumor location,and tumor volume.Conclusions:The lung tumor movement amplitudes for the different locations varied depending on the respiratory movement shown by the patient.In the SI direction,the movement amplitude of the lower lung tumors was greater than that of upper lung tumors,and this was due to tumor location effects.The movement amplitudes of the lower and upper lung tumors were similar in the LR directions and AP directions.Furthermore,movement amplitude was not affected by gender,age,tumor location,and tumor volume.

Objective:To investigate the drug resistance gene characteristics, plasmid characteristics and genome tracing of Shigella sonnei causing a bacillary dysentery outbreak in Shandong Province. Methods:Sixty-five Shigella sonnei strains isolated from a 2021 outbreak in a county of Shandong Province were analyzed using antimicrobial susceptibility testing, whole genome sequencing (WGS), characterization of resistance and virulence genes, plasmid profiling, core genome multilocus sequence typing (cgMLST), and single nucleotide polymorphism (SNP) analysis. Results:All isolates had the same resistance phenotype and genotypes and were multidrug-resistant ESBL-producing Shigella sonnei, carrying important virulence genes. Plasmid analysis revealed a conserved genetic arrangement, pil( M/ N/ O2/ P)-tra( F/ H/ J/ K/ N/ O/ P/ Q)-IS Ecp1- blaCTX-M-14-Tn 903- yub( J/ I/ F/ G/ E/ D), and shared across strains from diverse regions and bacterial species. The cgMLST and SNP analyses demonstrated concordant clustering, with all 65 outbreak-related strains forming a single cluster alongside human-derived strains from Guangxi. Conclusion:The ESBL-producing Shigella sonnei responsible for the outbreak shares a homologous relationship with Guangxi human-derived strains, and the detected resistance plasmids and virulence genes underscore the need to strengthen drug resistance surveillance and genome tracing.

As the cornerstone of modern medical diagnosis,pathology is facing multiple challenges such as workforce shortages,strong diagnostic subjectivity,and inefficient workflows.With advantages in image recognition,pattern analysis,and big data processing,artificial intelligence(AI)is increasingly being integrated into the field of pathological diagnosis,driving its transition toward digitization and intelligence.This article systematically reviews the development of AI in pathology,from early supervised learning validation to weakly supervised learning overcoming annotation bottlenecks,and the recent rise of self-supervised and multimodal foundation models.It demonstrates the broad applications of AI in improving diagnostic consistency,optimizing workflows,and predicting molecular features and prognoses.AI not only enhances the objectivity and efficiency of pathological diagnosis but also promotes the development of emerging interdisciplinary fields such as computational pathomics,providing strong support for precision medicine.Although challenges such as data standardization and regulatory approval remain in clinical implementation,the deep integration of AI and pathology is ushering in a new era of human-machine collaboration and intelligent diagnostics.