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 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.

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.

Immune checkpoint inhibitors (ICIs) are being widely applied in the treatment of various malignancies, significantly prolonging survival and improving quality of life. However, consequent immune-related adverse events have emerged as new clinical challenges. As a high-burden country for tuberculosis (TB), China faces particular concern regarding the impact of ICIs therapy on TB reactivation in cancer patients. Based on the detection principles of the TB interferon-γ release assay (TB-IGRA), this review explores its potential value in predicting ICIs efficacy and proposes a management algorithm for pulmonary TB patients undergoing ICIs treatment, aiming to maximize clinical benefits while ensuring safety.

BackgroundResident physicians represent a high-risk group for sleep disorders， exhibiting a significantly higher prevalence of such conditions compared with the general population， which severely impairs their physical and mental health. It is hypothesized that perceived stress negatively impacts sleep quality through psychological mechanisms， such as depleting self-control resources and triggering anxiety. However， this pathway warrants empirical validation. ObjectiveTo explore the mediating role of self-control and anxiety emotions in the association between perceived stress and sleep quality among resident physicians， and to elucidate the underlying psychological mechanisms， aiming at providing theoretical basis for developing targeted psychological interventions. MethodsA cross-sectional survey was conducted in April 2025. First- to third- year resident physicians at a hospital in Fuyang City were recruited as participants （n=372）. The Chinese Perceived Stress Scales （CPSS）， the Chinese version of the Dual-Mode of Self-Control Scale （DMSC-S）， the Pittsburgh Sleep Quality Index （PSQI）， and the Generalized Anxiety Disorder Scale-7 item （GAD-7） were used for group testing. The model 6 of the Process macro version 4.1 was ultilized to examine the mediating pathway of self-control and anxiety emotions between perceived stress and sleep quality. ResultsA total of 322 valid questionnaires were collected， yielding an effective responsive rate of 86.56%. Among the respondents， 146 （45.34%） reported poor sleep quality. The CPSS score and GAD-7 score of resident physicians were positively correlated with the PSQI score （r=0.727， 0.784， P<0.01）， while the DMSC-S score was negatively correlated with the PSQI score （r=-0.615， P<0.01）. Perceived stress directly and positively predicted poor sleep quality （B=0.124， P<0.01）， with the direct effect accounting for 31.39% of the total effect. Furthermore， perceived stress indirectly affected sleep quality through the independent mediating effects of self-control and anxiety emotions. The indirect effect values of 0.053 （95% CI： 0.019 - 0.091） and 0.192 （95% CI： 0.141 - 0.249）， accounting for 13.42% and 48.61% of the total effect， respectively. Perceived stress also impact sleep quality through the serial mediating effect of self-control and anxiety， with the indirect effect value of 0.026 （95% CI： 0.005 - 0.049）， accounting for 6.58% of the total effect. ConclusionThe perceived stress of resident physicians can influence sleep quality by impairing self-control， exacerbating anxiety， and through the serial mediation of both factors.

ObjectiveTo investigate the role of Ras-GTPase-activating protein SH3 domain-binding protein 2 （G3BP2） in regulating the activation， proliferation， and migration of hepatic stellate cells （HSCs）. MethodsThe mouse HSCs （JS-1 cell line） were treated with 5 μg/L transforming growth factor-beta 1（TGF-β1） for 24 hours to establish an HSC activation and proliferation model. A G3BP2 knockdown system was constructed using siRNA interference technology. The experiment was divided into four groups： Control， TGF-β1 treatment， TGF-β1+si-NC， and TGF-β1+ G3BP2-siRNA. The expression levels of key fibrosis indicators， including type I collagen （Collagen I）， α-smooth muscle actin （α-SMA）， and G3BP2， were detected by Western blot and RT-qPCR. Cell proliferation activity was assessed using the CCK-8 proliferation assay kit and EdU fluorescence labeling technology. Cell migration ability was analyzed by scratch wound healing assay and Transwell migration assay. The formation level of stress granules was quantified by immunofluorescence microscopy to investigate the effects of G3BP2 on stress granule formation in activated HSCs. ResultsStimulation with TGF-β1 upregulated the expression of G3BP2 in JS-1 cells （RT-qPCR： P0.000 1； Western blot： P0.000 1）， while a downward trend in its expression was observed in the G3BP2‑silenced group （RT-qPCR： P0.01； Western blot： P0.000 1）. Compared with the control group， the TGF-β1 group exhibited increased protein expression levels of α-SMA and Collagen I （RT-qPCR： both P0.01； Western blot： P0.01 and P0.05， respectively）， concomitant with an increased number of stress granules and enhanced cell proliferation and migration capacity （all P0.001）. The experimental results demonstrated that G3BP2 knockout effectively reversed the aforementioned phenotypes， with the G3BP2-silenced group showing reduced expression of fibrotic markers （all P0.01）， decreased stress granule formation （P0.01）， and reduced cell proliferation and migration capacity （all P0.05）， compared to the negative control group. ConclusionG3BP2 enhances the activation， proliferation， and migration of HSCs by promoting the formation of stress granules， thereby accelerating the pathological progression of liver fibrosis. This suggests that stress granules may serve as important regulators in controlling the activation， proliferation， and migration of HSCs.

BACKGROUND:Black phosphorus has a high degree of homology with human bone,so it has been extensively studied in the field of bone tissue engineering in recent years.Since 2014,two-dimensional black phosphorus materials have garned significant attention in the field of biomedicine due to their excellent exceptional physical,chemical,and biological properties. OBJECTIVE:To summarize the advancements made in black phosphorus-based nanomaterials for bone tissue engineering,focus on the synthesis methods,osteogenic characteristics,and applications in biomaterials pertaining to two-dimensional black phosphorus nanomaterials. METHODS:Chinese and English key words were"black phosphorus,bone tissue engineering,bone defect,bone regeneration,osteogenesis."Relevant articles in PubMed and CNKI databases from January 2014 to December 2023 were searched.After exclusion and screening,96 articles were analyzed. RESULTS AND CONCLUSION:Black phosphorus nanomaterials play an important role in bone tissue engineering due to their good biocompatibility,biodegradability,photothermal action,antibacterial ability,drug loading performance,and special osteogenic effect,and are ideal candidate materials for promoting bone regeneration.The preparation of black phosphorus nanomaterials is mainly a top-down top-layer stripping method.The main principle is to weaken the van der Waals force between the black phosphorus layers by physical or chemical means to obtain a single or less layer of phosphanse,that is,black phosphorus nanosheets or quantum dots.Black phosphate-based nanocomposites are mainly divided into hydrogels,3D printing scaffolds,composite scaffolds,electrospinning,bionic periosteum,microspheres,and bionic coatings.The research of nano-black phosphorus in bone tissue engineering is in its infancy,and still faces many challenges:the behavior of black phosphorus in vivo and the interaction mechanism with various biomolecules need to be further studied.The long-term potential toxicity of black phosphorus is unknown.The manufacturing process for black phosphorus is difficult to control.Therefore,how to develop uniform size,safe,reliable,and efficient nano black phosphorus and transform it into clinical application requires interdisciplinary research on modern biomedical technology,physicochemical technology,and precision manufacturing technology.

Objective To observe the value of MR 3D-T1WI and T2WI radiomics for diagnosing early and middle stage Parkinson disease(PD).Methods A total of 96 patients with early or middle stage PD(Hoehn-Yahr[H-Y]stage≤2.5)and 96 matched healthy adults were retrospectively collected and divided into training set(n=135,including 67 cases of PD and 68 healthy adults)and validation set(n=57,including 28 cases of PD and 29 healthy adults)at the ratio of 7∶3.The optimal radiomics features of left red nucleus(LRN),right red nucleus(RRN),left substantia nigra(LSN)and right substantia nigra(RSN)were extracted and screened from cranial 3D-T1WI and T2WI in training set.Then radiomics models of single MR sequence and combined MR sequences were constructed,respectively,the radiomics scores(Radscore)were obtained,the diagnostic efficacy of each model for diagnosing early and middle stage PD was validated using validation set,and the correlations of Radscore of each model and clinical scale scores of PD patients were analyzed.Results Based on LRN,RRN,LSN and RSN on 3D-T1WI and T2WI,15,14,11 and 14,and 15,12,14 and 12 optimal radiomics features were obtained,respectively.Then models of single sequence,including LRN3D-T1W,I RRN3D-T1W,I LSN3D-T1W,I RSN3D-T1W,I LRNT2W,I RRNT2W,I LSNT2WI and RSNT2W,I as well as models of combined sequences,including LRN3D-T1WI+T2WI,RRN3D-T1WI+T2WI,LSN3D-T1WI+T2WI and RSN3D-T1WI+T2WI were constructed.The AUC of models in training and validation sets based on 3D-T1WI were 0.75-0.86,of models based on T2WI in training and validation sets were 0.82-0.90,while of combined models were 0.85-0.93.The Radscore of LRN3D-T1WI model in PD patients was negatively correlated with Hamilton depression scale(HAMD)and Hamilton anxiety scale(HAMA)scores(rs=-0.255,-0.242,P=0.011,0.016),while of RSNT2WI model was negatively correlated with HAMD score(rs=-0.254,P=0.010).Conclusion 3D-T1WI and T2WI radiomics could be used to diagnose early and middle stage PD.

Bronchial asthma is a heterogeneous chronic inflammatory airway disease.Its pathogenesis is closely associated with abnormal immune responses within T-helper(Th)cell subsets,characterized by excessive effector Th cell activation and impaired immunosuppression by regulatory T cells.The concept of natural harmony of yin-yang epitomizes the understanding of traditional Chinese medicine(TCM)of the body's inherent capacity for autonomous regulation and homeostasis maintenance.Building upon the description in the Inner Canon of Yellow Emperor regarding asthma as"internal yin qi contention,external yang qi interference,"this study aims to bridge the TCM macro-level etiology and pathogenesis of"yin-yang disharmony"with the Western micro-level mechanism of loss of immune homeostasis control.The core pathogenesis of bronchial asthma involves yin-yang disorder in the body,leading to internal-external imbalance.Yang deficiency with a hidden yin pathogen and intermingled phlegm with blood stasis in the lungs is the root of pathogenesis.Pathogenic invading qi and yang hyperactivity induce bronchial asthma.These align with the Western medical concepts of imbalanced immunometabolic self-stabilization and defective immunotolerance.Based on the above content,corresponding therapeutic principles are proposed according to the disease stage.In the acute phase,dispelling wind pathogens and relieving cough are recommended.In chronic persistent asthma,calming yang disturbance and resolving the yin conflict are emphasized.In the clinical remission phase,kidney yang should be warmed and invigorated,thereby consolidating body resistance.The corresponding treatment methods are implemented based on the above content.In the acute phase,self-made Mahuang Qingyang Decoction is administered to dispel wind pathogens and ventilate lung qi.In chronic persistent asthma,self-made Qingfei Xiegan Decoction is administered to clear liver-fire and purge the lungs,self-made Xuanfu Qingwei Decoction is employed to harmonize the stomach for descending adverse yang qi,modified Suzi Jiangqi Decoction is applied to conduct deficient yang back to its source,and modified Erchen Decoction and Taohong Siwu Decoction are utilized to expel phlegm and blood stasis.In the clinical remission phase,modified Sijunzi Decoction,modified Mahuang Fuzi Xixin Decoction,and Erxian Decoction are administered to invigorate the spleen and kidney.These approaches ward off yang disturbance and resolve yin contention to restore the body's normal immune homeostasis.The ultimate therapeutic aim is to achieve a state of natural harmony of yin-yang,thereby ceasing wheezing and coughing spontaneously,and to provide new ideas for clinical treatment of bronchial asthma.