Intravitreal anti-vascular endothelial growth factor(anti-VEGF)therapy has been widely used, but the variability in its therapeutic efficacy limits individualized treatment. In recent years, the application of artificial intelligence(AI)has opened up new avenues for personalized treatment response prediction, and its core branches include machine learning(ML)and deep learning(DL). This review systematically retrieved and analyzed 41 relevant studies published up to April 2025. Comprehensive analysis reveals that AI predictive models are evolving from forecasting single endpoints(such as visual acuity or central retinal thickness)to integrating multi-dimensional endpoints(encompassing anatomical, functional, and treatment demand parameters)and generating predictive imaging outputs. In terms of technical approaches, DL models(28 studies, accounting for 68.3%)dominate this field due to their robust image interpretation capabilities, while ML models(10 studies, 24.4%)retain significant value in the analysis of structured clinical data. Cross-disease comparisons indicate that research efforts are most concentrated on age-related macular degeneration(ARMD)and diabetic macular edema(DME), with shared conceptual frameworks for model construction, yet distinct anatomical and functional indicators are prioritized for each disease. Currently, the field confronts several key challenges, including insufficient prospective clinical validation, limited model interpretability(the “black box problem”), and a scarcity of high-quality multi-center datasets. Moving forward, it is imperative to advance real-world validation and develop explainable AI techniques to expedite the clinical translation of these predictive models.

OBJECTIVE To provide technical support for improving recognition rate of adverse drug events （ADEs） related to traditional Chinese medicine （TCM） formula granules and decoction pieces among inpatient patients. METHODS By referencing the global trigger tool （GTT） whitepaper， literature on adverse reactions to TCM， and expert review opinions， ADE trigger items for TCM formula granules and decoction pieces used in the inpatients were established. GTT was applied to analyze ADEs in inpatients who had used TCM formula granules and decoction pieces in our hospital from August 2013 to August 2023， utilizing the Chinese Hospital Pharmacovigilance System. The effectiveness of GTT and the characteristics of these ADEs were analyzed. RESULTS A total of forty-eight triggers were established， including thirty-two laboratory test indexes， thirteen clinical symptoms， and three antidotes. Among the 1 682 patients included， GTT identified 652 potential ADEs， 284 true positive ADEs，with a trigger rate of 38.76% and a positive predictive value of 43.56%. After review by the auditor， 278 cases of ADEs were finally confirmed， with an incidence rate of 16.53%， significantly higher than the number of spontaneously reported ADEs during the same period （0）. The 278 cases of ADEs were mostly grade 1 （223 cases）， mainly involving hepatobiliary system， gastrointestinal system， blood- lymphatic system， etc；a total of 219 types of TCMs are involved，and the top five suspected TCMs used at a frequency higher than 1% were Poria cocos， Codonopsis pilosula， Atractylodes macrocephala， fried Glycyrrhiza uralensis， and Scutellaria baicalensis. CONCLUSIONS The established GTT can improve the recognition rate of ADEs for hospitalized patients using traditional Chinese medicine formula granules and decoction pieces.

Objective: To explore the causal relationship between gut microbiota and upper urinary tract stones using Mendelian randomization (MR) analysis，and to investigate the potential mediating role of plasma metabolites. Methods: Data on gut microbiota，plasma metabolites，and upper urinary tract stones were obtained from publicly available Genome-wide Association Studies (GWAS).Bidirectional MR analysis was performed to examine the causal relationship between gut microbiota and upper urinary tract stones.Subsequently，a two-step MR approach was employed to determine whether gut microbiota contribute to upper urinary tract stones through plasma metabolites，and the mediating effects and mediator ratio were calculated.The inverse variance weighted (IVW) method was used as the primary analytical tool，supplemented by Bayesian weighted Mendelian randomization (BWMR)，MR-Egger，and weighted median (WM) analyses.Horizontal pleiotropy and heterogeneity tests were conducted to ensure the robustness of the findings. Results: Bidirectional MR analysis identified causal associations between 7 gut microbial taxa and 6 microbial metabolic pathways with upper urinary tract stones，while the development of upper urinary tract stones affected 13 gut microbial taxa and 5 metabolic pathways.Additionally，43 plasma metabolites (including 27 identified metabolites，8 unidentified metabolites，and 8 metabolite ratios) were causally associated with upper urinary tract stones.The two-step MR analysis identified 11 potential causal pathways.After metabolic pathways and unidentified metabolites were excluded，a causal link mediated by Bacteroides faecis between galactarate and upper urinary tract stones was confirmed，with a mediation proportion of 16.99% (95%CI：5.76%-33.95%，P=0.0371). Conclusion: This study establishes a causal relationship between parabacteroides and upper urinary tract stones，and elucidates the mediating role of galactarate，offering new insights into the pathogenesis and prevention strategies for upper urinary tract stones.

Objective This study aims to investigate the expression, phenotypic changes, and mechanisms of action of guanylate-binding protein 2 (GBP2) in the process of silica-induced pulmonary fibrosis. Methods The expression and localization of GBP2 in silicotic lung tissue were detected by immunohistochemical staining and immunofluorescence. An in vitro cell model was constructed, and methods such as Western blot and real-time quantitative reverse transcription polymerasechain reaction were utilized to investigate the function of GBP2 in different cell lines following silica stimulation. The mechanism of action of GBP2 in various cell lines was elucidated using Western blot analysis. Results GBP2 was highly expressed in the lung tissue of patients with silicosis. Immunohistochemical staining and immunofluorescence have revealed that GBP2 was localized in macrophages and epithelial cells. In vitro cell experiments demonstrated that silicon dioxide stimulated THP-1 cells to activate the c-Jun pathway through GBP2, promoting the secretion of inflammatory factors and facilitating the occurrence of M2 macrophage polarization. In epithelial cells, GBP2 promoted the occurrence of epithelial to mesenchymal transition (EMT) by upregulating Krueppel-like factor 8 (KLF8). Conclusion GBP2 not only activates c-Jun in macrophages to promote the production of inflammatory factors and the occurrence of M2 macrophage polarization, but also activates the transcription factor KLF8 in epithelial cells to induce EMT, collectively promoting the progression of silicosis.
Humans ; Silicosis/genetics* ; Macrophages/cytology* ; Epithelial Cells/pathology* ; GTP-Binding Proteins/physiology* ; Epithelial-Mesenchymal Transition ; Disease Progression ; Cell Line ; Male

Lung cancer has the highest incidence and mortality of any cancer in the world. In recent years, with the development of microbial detection technology, the intratumor microbiota has gradually become a hot spot and frontier in the field of lung cancer research. Studies have found that the microbiota present in tumors can influence the development of lung cancer in a variety of ways. In addition, the intratumor microbiota can be used as a potential biomarker for the diagnosis and prognosis assessment of lung cancer, and the regulation of the intratumor microbiota of lung cancer is expected to become a new type of lung cancer treatment. In this paper, we reviewed the latest research progress on the relationship between intratumor microbiota and lung cancer, summarized the origin and characteristics of intratumor microbiota, discussed the mechanism of its influence on the occurrence and development of lung cancer, and explored its potential applications in the diagnosis, treatment and prognosis of lung cancer.
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Humans ; Lung Neoplasms/diagnosis* ; Microbiota ; Animals ; Prognosis

Objective To explore the effect of ionizing radiation on the fertility of male mice and its offspring and the intergenerational and transgenerational genetic effect mechanism of ionizing radiation through sperm DNA methylation sequencing.Methods Eight-week-old(8 w)C57BL/6 male mice were irradiated with 60Co radiation source at a dose of 3 Gy(3 Gy-F0 group,n=60)and non-irradiated mice of the same age were used as controls(0 Gy-F0 group,n=60).Afetr 5-,6-,7-,8-,9-,10-,11-,and 12-week radiation,the mice began to breed with healthy females,and the first generation(F1 generation)male mice then breed with healthy female mice to obtain the offspring(F2 generation)male mice.The structure of testis was detected by hematoxylin-eosin staining;serum follicle-stimulating hormone(FSH),testosterone(T)and luteinizing hormone(LH)levels were determined by enzyme-linked immunosorbent assay.Automatic sperm analysis system was used to detect sperm concentration and activity.The DNA of F0 generation sperm was extracted and analyzed by genome-wide DNA methylation sequencing.MassARRAY methylation sites were detected in sperm DNA of F1 generation mice and verified by quantitative polymerase chain reaction(qPCR).Results Compared with the 0 Gy-F0 group,male mice in the 3 Gy-F0 group gradually regained their reproductive ability 7 weeks after ionizing radiation.There was no significant difference in the number of surviving offspring between the 3 Gy-F0 group and 0 Gy-F0 group 10-11 weeks after radiation(P＞0.05).There were no significant differences in body weight,testicular morphology,or sperm concentration of F1 generation mice between the 3 Gy-F1 group and the 0 Gy-F1 group(all P＞0.05).However,compared with the 0 Gy-F1 group,the contents of LH,FSH and T in the 3 Gy-F1 group were all decreased(all P＜0.05),the testicle volume,total sperm motility rate,forward motility rate and the fertility were considerably decreased(all P＜0.05).DNA methylation sequencing showed that more differentially methylated genes were enriched in the pathway regulating microtubule formation.MassARRAY methylation sites analysis showed that the methylation level of Mid1 was significantly increased(P＜0.05 or P＜0.01).Mid1 was verified down-regulated in Fl and F0 sperm by qPCR(P＜0.05 or P＜0.01).However,there were no significant differences in volume of testes,testicular index,sperm concentration,sperm motility,hormone levels or Mid1 expression level between 0 Gy-F2 and 3 Gy-F2 mice in F2 generation male mice(all P＞0.05).Conclusion Sperm damage in mice caused by ionizing radiation at a dose of 3 Gy can recover by itself.However,it may decrease sperm activity by regulating Mid1 methylation level of sperm in F1 mice,thus affect the fertility of F1 mice,but has no effect on the fertility of male F2 mice.

Objective To design a tabletop exercise teaching toolkit for emergency rescue training for mass wounded at sea.Methods Guided by the competency-based education(CBE)theory,a preliminary tabletop exercise teaching toolkit was constructed by combining field research and literature analysis.The toolkit was tested and modified through expert meetings.Results A set of tabletop exercise teaching toolkit including tabletop exercise scheme,casualty pool,teaching aids and teaching evaluation tools was formed.Conclusion The tabletop exercise teaching toolkit developed in this study can be used for the training of medical personnels on large surface warships,and it provides new ideas for our military medical training.

Objective To explore the association between physical activity levels and metabolic dysfunction-associated fatty liver disease(MAFLD)and the modifying effects of different types of obesity.Methods A cross-sectional study was conducted on 19925 participants recruited from the Chengdu sub-cohort of the Southwest China Natural Population Cohort.The participants were recruited between 2018 and 2019.The association between physical activity and MAFLD prevalence was examined using the inverse probability weighting(IPW)method based on the generalized propensity score(GPS).The odds ratios(OR)and the 95％confidence interval(CI)for moderate and vigorous physical activity were calculated using the mild physical activity group as a reference.A restricted cubic spline function was used to model the exposure-response relationship between physical activity and MAFLD risk.The potential modifying effects of obesity types on the association between physical activity and MAFLD were evaluated in male and female populations.Results The prevalence of MAFLD was 17.30％.Compared to those engaging in mild physical activity,individuals participating in vigorous and moderate physical activities had a lower risk of MAFLD,with OR(95％CI)being 0.76(0.67,0.86)and 0.85(0.76,0.94),respectively.The exposure-response relationship showed a nonlinear association between physical activity and MAFLD risks(Pnonlinearity=0.005).The protective effect of physical activity against MAFLD was observed when physical activity reached approximately 20 METs-h/d.However,when physical activity exceeded 70 METs-h/d,no significant effect on MAFLD risk was observed.Among the female population,obesity type significantly modified the association between physical activity and MAFLD(P＜0.05).In females with central obesity,the protective effect of physical activity on MAFLD showed a threshold effect,with the lowest disease risk observed at approximately 25 METs-h/d.However,physical activity exceeding 37.5 METs-h/d showed no statistically significant association with MAFLD risk.In contrast,for females with peripheral obesity,high levels of physical activity had limited effects on reducing MAFLD risks.Conclusion Moderate physical activity can significantly reduce the risk of MAFLD,and the obesity types can modify this association.It is recommended that individuals engage in approximately 20-70 METs-h/d of physical activity.For females with central obesity,physical activity should not exceed 37.5 METs-h/d,while for females with peripheral obesity,it should not exceed 30 METs-h/d.

Objective To investigate the association between 8 insulin resistance(IR)surrogate markers and incident atherosclerotic cardiovascular disease(ASCVD)in population with cardiovascular-kidney-metabolic syndrome(CKM)of stages 0-3,and to identify the surrogate marker with the best predictive performance.Methods A study was conducted on 20121 community residents classified as CKM stages 0-3 from the Chengdu cohort of the China Multi-Ethic Cohort.A Cox proportional hazards model was used to calculate hazard ratios(HRs)between each IR surrogate marker and incident ASCVD.Cubic spline regression was employed to explore the dose-response relationships between these markers and incident ASCVD.The relative relationships between different markers and incident ASCVD were examined through the ratio of HRs(RHRs).Time-dependent area under the receiver operating characteristic curve(TDAUC)and Uno's C-statistic were calculated to compare the predictive performance of each marker for incident ASCVD.Based on the PREVENT equation components and the 8 surrogate markers under analysis,random forest feature selection was used to determine the contribution of each marker to accurate prediction.Results During a follow-up period of82 741.93 person-years,1447 incident cases of ASCVD were recorded,with an incidence density of 17.49 per 1000 person-years.Association analyses indicated that the triglyceride to high-density lipoprotein cholesterol ratio(TG/HDL)and the TyG/(TG/HDL)index were not associated with incident ASCVD(P＞0.05).The TyG index combined with obesity measurement parameters emerged as a reliable predictor of ASCVD incidence.The most promising indicator,TyG index with waist-to-height ratio(TyG_WHtR),exhibited an inverted J-shaped association with incident ASCVD(P for nonlinearity=0.045;TDAUC=0.640;C=0.634),while the TyG index with body mass index(TyG_BMI),waist circumference(TyG_WC),and waist-to-hip ratio(TyG_WHR)showed positive linear associations(all P for trend＜0.05),with relatively lower predictive performance(C=0.564,0.588,and 0.598,respectively).Although both the TyG index and the metabolic score for insulin resistance(METS-IR)were associated with increased ASCVD risk(TyG:Q2 vs.Q1,HR=1.23 and Q4 vs.Q1,HR=1.24;METS-IR:P for non-linearity=0.045),they exhibited poor predictive performance for incident ASCVD.Conclusion The TyG index combined with obesity measurement parameters is an ideal IR surrogate marker for predicting incident ASCVD in populations with stages 0-3 CKM.Monitoring these markers will facilitate the prevention and control of cardiovascular diseases in CKM populations.

AIM:The paper is to explore a rapid and simple method for the culture of mouse primary thyroid cells.METHODS:Mouse thyroid cells were isolated by enzyme digestion and cultured with improved medium,and their morphology,characteristics and secretory function were observed within 14 d.RESULTS:In the cultures,the active pri-mary cells were obtained from the thyroid tissue after digestion for 25 min;adherent growth was observed on the 2nd day.And secondary follicles appeared from the 5th to 7th day.Over 95%cells were detected with thyroglobulin.The secretion of total triiodothyronine and total thyroxine maintains over 60%in 7 d.The expression levels of specific genes can still maintain more than 50%in 10 d.CONCLUSION:Mouse thyroid primary cells can be rapidly cultured by this method,and the cells can be used for studying thyroid endocrine secretion within 7 d and studying thyroid genes within 10 d.