High myopia(HM)is one of the leading causes of irreversible visual impairment, characterized by pathological changes such as axial elongation and multidimensional abnormalities in fundus biometric parameters. This review systematically summarizes the dynamic characteristics of fundus biometric parameters(including those of the retina, optic disc, macula, and choroid)in HM patients, as visualized via multimodal imaging techniques [e.g., optical coherence tomography(OCT)and optical coherence tomography angiography(OCTA)], and their association with HM progression and related complications. The article further highlights the strategies and advantages of multimodal imaging integration and discusses recent advances and challenges in combining artificial intelligence(AI)with these imaging modalities to automate fundus parameter analysis, lesion detection, risk stratification, and clinical decision-making for HM. This review aims to provide an evidence-based foundation for the early warning, precise intervention, and personalized management of HM, thereby facilitating a clinical paradigm shift from “reactive treatment” to “active health management”.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

Objective: To analyze the epidemiological characteristics of pulmonary tuberculosis (PTB) among college students in Yangzhou from 2020 to 2024, so as to provide a scientific basis for developing prevention and control strategies. Methods: An epidemiological investigation was conducted among 162 college students with PTB, and 7 134 of their contacts were screened. Data were obtained from the tuberculosis information management system and on campus screening records. Using descriptive epidemiological methods, trends in incidence, seasonal distribution, and bacteriological characteristics were analyzed. Results: From 2020 to 2024, the annual average incidence of pulmonary tuberculosis among college students in Yangzhou was 29.42 per 100 000, showing an overall fluctuating downward trend ( χ 2=12.36, P <0.01). Cases were mainly concentrated in summer and autumn, with the highest proportion in autumn (41.36%, 67/162), followed by summer (23.46%, 38/162). The proportion of etiologically positive cases increased from 37.21% in 2020 to 71.43% in 2024; among positive cases, the proportion of latent tuberculosis infection (LTBI) decreased from 66.67% (10/15) to 26.67% (4/15). The etiological positive rate was higher in females than in males ( χ 2= 11.76 , P <0.01). Comparison of screening methods showed that among index cases, the LTBI detection rate of the recombinant Mycobacterium tuberculosis fusion protein skin test (C-TST) was higher than that of the tuberculin skin test (TST), but the difference was not statistically significant ( χ 2=0.65, P =0.42); among close contacts, the detection rate of TST was higher than that of C-TST (15.1%,10.1%; χ 2=5.23, P <0.05). Conclusion From 2020 to 2024, the annual average incidence of pulmonary tuberculosis among college students in Yangzhou showed an overall fluctuating downward trend, with differences in TB infection screening methods and gender.

ObjectiveTo investigate the short-term efficacy and safety of different doses of Botulinum toxin type A (BTX-A) injected under ultrasound guidance combined with modified catheter-balloon localization for post-stroke cricopharyngeal dysfunction (CPD), and to explore a relatively appropriate dose. MethodsA total of 136 patients with post-stroke CPD admitted to Taizhou Hospital of Zhejiang Province from December, 2023 to February, 2026 were randomly assigned into control group, 50 U group, 70 U group and 100 U group, with 34 patients in each group. The control group received conventional rehabilitation, whereas the three BTX-A groups received conventional rehabilitation plus the corresponding dose of BTX-A injected under ultrasound guidance combined with modified catheter-balloon localization. Videofluoroscopic Swallowing Study (VFSS) scores, Functional Oral Intake Scale (FOIS) scores, Yale Pharyngeal Residue Severity Rating Scale (YPR-SRS) grades, Murray Secretion Severity Scale (MSS) grades and ultrasonographic parameters were compared before and two weeks after intervention. ResultsAfter intervention, FOIS scores improved significantly in all groups (|Z| > 2.843, P < 0.01), and YPR-SRS and MSS grades also showed significant improvements in all BTX-A groups (|Z| > 4.147, P < 0.001). Pairwise comparisons revealed that the order of improvement from best to worst for FOIS, YPR-SRS and MSS grades was the 100 U group, followed by 70 U group, and then 50 U group (P < 0.05). For VFSS scores, the effect of time, group and interaction were all significant (F > 9.68, P < 0.001); pairwise comparisons showed that 100 U group achieved the best outcomes (P < 0.001). Regarding the activity and velocity of the geniohyoid muscle, the effects of time, group and interaction were also significant (F > 7.34, P < 0.001); pairwise comparisons indicated that 100 U group outperformed the other groups in both activity and velocity (P < 0.001). For hyoid bone displacement distance and shortening rate, the effects of time and interaction were significant (F > 3.07, P < 0.05), and the main effects of time on duration and velocity were significant (P < 0.01); pairwise comparisons showed that the 100 U group had superior displacement distance and shortening rate compared to the other groups (P < 0.05). During the treatment and follow-up periods, no serious adverse event occurred in any group. ConclusionUltrasound-guided BTX-A injection assisted by modified catheter-balloon localization may further improve short-term swallowing function in patients with post-stroke CPD， with a dosage of 100 U.

Objective To compare the changes in biological indicators of human corneal epithe-lial(HCET)cells and rabbit corneas after exposure to different doses of ultraviolet B(UVB)radia-tion,so as to evaluate the impact of UVB radiation on corneal injury effects.Methods In cell exper-iment,HCET cells were divided into groups with radiation doses of 0,6,12,18,and 24 mJ/cm2.The effect of UVB radiation on HCET cell viability was detected using the CCK-8 assay,and the level of intracellular DNA damage was assessed by immunofluorescence.In the animal experiment,15 healthy New Zealand white rabbits(30 eyes)were randomly divided into groups with radiation doses of 0,1.35,2.16,4.32,and 6.48 J/cm2.The UVB exposure time for the radiation groups was 30 minutes per day for 3 consecutive days.Corneal injury was evaluated using methods such as slit-lamp microscopy,sodium fluorescein staining,central corneal thickness measurement,optical coherence tomography(OCT)imaging,and hematoxylin and eosin(HE)staining.Results Compared with the control group,cell viability in the radiation groups gradually decreased,and the level of DNA damage gradually increased with increasing radiation dose.As the radiation dose increased in the radiation groups,the degree of corneal opacity in rabbits gradually worsened,the central corneal area gradu-ally thickened,and OCT revealed high-intensity scattered light signals with the formation of shadow areas.Results from HE staining,immunohistochemistry,Western blot(WB),and sodium fluores-cein staining showed that the 1.35 J/cm2 group caused mild corneal injury,with damage reaching the corneal epithelial layer.In the 2.16 J/cm2 group,the corneal injury presented as dense punctate distribution,with damage extending from the epithelial layer to the superficial stroma.The number of ephrin type-A receptor 2(EphA2)protein-stained cells was relatively small,and the staining was light,showing a weak positive result.In the 4.32 J/cm2 and 6.48 J/cm2 groups,the corneal injury was irreversible,with damage gradually progressing from the corneal epithelial layer and superficial stroma to the endothelial layer.The number of EphA2 protein-stained cells was relatively large,and the staining was dark,showing a strong positive result.Conclusion This study comprehensively e-valuates the dose-dependent injury effects of UVB on HCET cells and New Zealand white rabbit cor-neas through cell and animal experiments.It elucidates that UVB radiation could induce corneal cell DNA damage,promote inflammatory responses,and trigger apoptosis by upregulating γ-phosphoryla-ted histone H2AX(γH2AX)and EphA2.The self-repair ability and process of corneal injury are preliminarily explored,providing a basis for further research on mechanisms of corneal injury caused by ultraviolet radiation and the development of protective drugs.

High intensity ultraviolet radiation exists in special military operation environments such as oceans,plateaus,polar regions and deserts,which is a leading contributor to eye damage and can lead to luminous keratitis,dry eyes,pterygium,cataract and macular degeneration.Ultraviolet radiation can cause acute and chronic injury to eyes by inducing DNA damage,oxidative stress and inflammatory reaction.The commonly used clinical drugs have played a role in relieving symptoms and promoting the repair of ocular tissues,but there are still limitations.The research on targeted therapeutic drugs,proteins and their derived peptides,vitamins and their coenzymes,as well as natural active ingredients of animals and plants has provided new ideas for the development of more effective drugs that can protect eyes from ultraviolet and for medical support to China's army in special environments.Based on the literature currently available,this paper reviews the eye injury caused by ultraviolet radiation and therapeutic drugs in terms of types of eye diseases,injury mechanisms,treatment strategies and drug development.

Hepatitis B virus (HBV) infection represents a significant global health challenge. Current therapeutic options, such as interferon and nucleoside analogues (NAs), are limited by issues including long-term medication toxicity, the virus's propensity to develop drug resistance, and the inability to eradicate covalently closed circular DNA (cccDNA). Core protein allosteric modulators (CpAMs), as an emerging class of anti-HBV drugs, target HBcAg to interfere with capsid assembly. This not only blocks viral nucleocapsid formation and inhibits viral replication but also indirectly destabilizes the cccDNA pool, while exhibiting a relatively high genetic barrier to resistance. This article systematically evaluates HBV drug resistance to CpAMs and proposes anti-resistance strategies, including the combination of nucleoside analogues with CpAMs, enhancing protein-drug interactions, targeting HBcAg degradation, designing multi-target inhibitors, and employing combination therapy. Looking ahead, the integration of structural biology, computational chemistry, and immunotherapy will offer innovative approaches for developing novel, highly effective, and low-resistance inhibitors, thereby advancing the functional cure of hepatitis B.

Liver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.
Liver Neoplasms/drug therapy* ; Animals ; Humans ; Xenograft Model Antitumor Assays/methods* ; Mice ; Disease Models, Animal

OBJECTIVES: Depression is a common negative emotion that can significantly impact physical and mental health. Due to their occupational characteristics, medical staff are more susceptible to depression compared to the general population. This study aims to explore the influence of future-oriented coping on depression among medical staff and the mediating roles of psychological resilience and perceived stress, providing theoretical guidance for depression intervention strategies in this group. METHODS: A cross-sectional survey was conducted among medical staff at a tertiary hospital using convenience sampling. Data were collected via the "Wenjuanxing" platform. A total of 754 questionnaires were distributed; after excluding invalid responses (e.g., duplicate IPs or insufficient completion time), 655 valid questionnaires were retained (valid response rate: 86.87%). Instruments included a demographic questionnaire, the Future-Oriented Coping Scale, the Connor-Davidson Resilience Scale, the Perceived Stress Scale, and the Self-Rating Depression Scale. All scales demonstrated high internal consistency (Cronbach's α>0.88) and validity. SPSS 27.0 was used for descriptive analysis, and PROCESS macro (Model 6) was used to test the chain mediation model. Harman's one-factor test was applied to control for common method bias. RESULTS: Descriptive analyses showed that future-oriented coping was positively correlated with psychological resilience and negatively correlated with perceived stress and depression. Mediation analysis revealed that future-oriented coping significantly predicted lower depression levels among medical staff (β=-0.283, P<0.001). Psychological resilience partially mediated the relationship (effect size=-0.329, accounting for 34.13% of the total effect), as did perceived stress (effect size=-0.099, 10.27%). A significant chain mediation path was identified: "future-oriented coping → psychological resilience → perceived stress → depression" (effect size=-0.253, 26.24%). The total indirect effect accounted for 70.64% of the overall effect, highlighting the substantial role of the mediating pathways. CONCLUSIONS Future-oriented coping can reduce depressive symptoms in medical staff, with psychological resilience and perceived stress serving as key mediators in a chain structure. These findings suggest that enhancing future-oriented coping strategies and psychological resilience may improve stress adaptation and reduce depression levels in this population.
Humans ; Adaptation, Psychological ; Resilience, Psychological ; Cross-Sectional Studies ; Depression/psychology* ; Surveys and Questionnaires ; Stress, Psychological/psychology* ; Male ; Female ; Adult ; Middle Aged ; Medical Staff/psychology* ; Occupational Stress/psychology*