AIM: To analyze the pathological features, immunophenotype, and imaging findings of conjunctival lymphangiectasia(CL), and to explore the etiological mechanisms and provide a theoretical basis for clinical diagnosis and treatment. METHODS:This single-center descriptive cross-sectional study enrolled postoperative specimens from patients with CL who underwent surgical treatment in the hospital between Feb. 2023 and Sept. 2025. Routine hematoxylin and eosin(HE)staining and immunohistochemical staining(D2-40, CD31, CD34, CK)were performed. Anterior segment optical coherence tomography(AS-OCT)was used to observe the lesion morphology. The pathological results were comprehensively analyzed combined with clinical data. RESULTS: A total of postoperative specimens from 32 eyes of 32 patients with CL were enrolled, including 23 females(72%)and 9 males(28%), with a mean age of 53.03±12.47 y. All patients presented with single or multiple transparent cystic elevations beneath the bulbar conjunctiva. The postoperative pathological manifestations were characterized by dilation of conjunctival lymphatic vessels lined with a single layer of flattened endothelial cells, accompanied by edema and inflammatory infiltration in the surrounding stroma. All cases were positive for D2-40, confirming a lymphatic origin; some cases also expressed CD31 and CD34. AS-OCT revealed the lesions as unilocular or multilocular cystic spaces with low reflectivity. After complete surgical resection, the mean follow-up period was 16.2 mo with no recurrence.CONCLUSION:CL is a benign ocular surface lesion characterized by lymphatic vessel dilation. The endothelium co-expresses lymphatic and some vascular markers, suggesting that CL may belong to the spectrum of vascular malformations. AS-OCT has adjunctive diagnostic value, and surgical resection has definitive therapeutic efficacy.

Autoimmune hepatitis （AIH） is a chronic inflammatory liver disease mediated by T lymphocytes， and it can progress to liver cirrhosis or even liver failure without timely intervention. As a natural flavonoid compound， naringenin （NAR） shows a potential value in the prevention and treatment of AIH through multiple mechanisms such as remodeling immune homeostasis， targeted inhibition of inflammatory pathways， antioxidation， regulating hepatocyte metabolism and apoptosis， improving mitochondrial function， and regulating intestinal flora. However， the clinical translation and application of NAR is limited by issues such as low bioavailability and insufficient efficiency of liver-targeted delivery. This article systematically reviews the mechanism of action of NAR in the prevention and treatment of AIH， explores the potential signaling pathways involved in this process， and analyzes existing challenges in its translation and application and future research directions， so as to provide a reference for further research on NAR and its application in the prevention and treatment of AIH.

ObjectiveTo summarize the application experience of the "Three-Separation" model in the pre-service training of laboratory animal practitioners and scientifically evaluate its training effectiveness. MethodsA retrospective analysis was conducted on 8 009 practitioners who participated in pre-service training at the Fujian Provincial Laboratory Animal Training Base from January 2010 to December 2025. Among them, 1 250 trainees from January 2010 to December 2017 were included in the control group (traditional training model), and 6 759 trainees from January 2018 to December 2025 were included in the evaluation group ("Three-Separation" model, based on separating job requirements, differentiating exam content, and categorizing exam methods). Meanwhile, a questionnaire survey was conducted to evaluate training effectiveness, yielding 1 624 valid questionnaires (585 from the control group and 1 039 from the evaluation group). The "Three-Separation" model simultaneously optimized fee structures to improve affordability and inclusiveness. The comprehensive competencies and training satisfaction of the two groups after training were compared and analyzed using the independent sample t-test, χ² test, and Wilcoxon rank-sum test. ResultsThe overall satisfaction rate of the evaluation group was 92.49% (961/1 039), significantly higher than that of the control group (77.78%, 455/585), with a highly significant difference (χ²=72.50, P<0.001). The evaluation group showed a more favorable distribution of positive, neutral, and negative ratings in dimensions such as course pertinence, time flexibility, assessment rationality, and reasonableness of fees, and the positive rating rates were highly significantly higher than those in the control group (P<0.001). The comprehensive pass rate of the evaluation group (95.53%) was significantly higher than that of the control group (86.24%), with a highly significant difference (P<0.001). ConclusionThe scientific application of the "Three-Separation" model can accurately match the competency requirements of different positions, optimize the training and assessment system, reduce participation barriers by making training fees more affordable and accessible, effectively improve the comprehensive quality and training satisfaction of laboratory animal practitioners, achieve better teaching outcomes, and provide replicable and promotable practical references for the standardized upgrading of the training system in the laboratory animal industry and other industries.

Targeted protein degradation(TPD)technology is an emerging approach that utilizes intracellu-lar proteasome or lysosome systems to eliminate disease-causing proteins,providing novel strategies for dis-ease treatment.Compared with conventional therapies,TPD has advantages such as targeting"undruppable"proteins,overcoming drug resistance and high selectivity.Among them,proteolysis-targeting chimeras(PRO-TACs)and molecular gels are representative methods,which have achieved significant progress in E3 ligase expansion,linker design,and delivery systems,and are gradually entering clinical research.PROTACs and mo-lecular glues can not only target key oncoproteins and overcome resistance,but also modulate immune respon-ses for therapeutic purposes,demonstrating broad clinical application prospects.This article reviews the re-search progress of the two types of technologies and their current application status in cancer treatment,and discusses their potential and challenges in efficacy monitoring and individualized medication from the perspec-tive of laboratory medicine.

Objective:To investigate the risk factors and their predictive efficacy for postoperative premature epiphyseal closure in pediatric patients with distal tibial epiphyseal fractures.Methods:A retrospective cohort study was conducted to analyze the clinical data of 216 pediatric patients with distal tibial epiphyseal fractures admitted to Zhengzhou Orthopedics Hospital from January 2018 to December 2023, including 136 males and 80 females, aged 2-16 years [11.8(9.8, 13.3)years]. Among them, 112 patients were affected on the left side and 104 on the right. According to the Salter-Harris fracture classification, the fracture was classified as type I in 14 patients, type II in 97, type III in 38, type IV in 64 and type VI in 3. According to the presence of premature epiphyseal closure after surgery, the patients were divided into premature epiphyseal closure group ( n=38) and normal epiphyseal group ( n=178). Age, gender, body mass index (BMI), injury mechanism, side of injury, Salter-Harris classification of fracture, initial displacement distance of the fracture end, medial malleolar involvement by the fracture line surgical fixation method, operation duration, reduction method, and reduction quality were recorded in the two groups. Univariate analysis and binary Logistic regression analysis were used to evaluate and determine the independent risk factors for postoperative premature physeal closure in pediatric patients with distal tibial epiphyseal fracture. The receiver operating characteristic (ROC) curve was plotted and area under the curve (AUC) was calculated to evaluate the predictive efficacy of each risk factor for the occurrence of premature physeal closure in pediatric patients with distal tibial epiphyseal fractures. Results:Univariate analysis showed the occurrence of postoperative premature epiphyseal closure of the distal tibia was associated with age, Salter-Harris fracture classification, medial malleolar involvement by the fracture line, surgical fixation method, reduction method, and reduction quality ( P<0.05), while it was not correlated with gender, BMI, injury mechanism, side of injury, initial displacement distance of the fracture end, and operation duration ( P>0.05). Multivariate binary Logistic regression analysis showed that medial malleolar involvement by the fracture line ( OR=0.18, 95% CI 0.04, 0.76, P<0.05) and reduction quality ( OR=43.18,95% CI 10.71, 174.05, P<0.01) were significantly correlated with the occurrence of postoperative premature epiphyseal closure of the distal tibia. The results of ROC curve analysis showed that medial malleolar involvement by the fracture line had limited predictive efficiency (AUC=0.53, 95% CI 0.43, 0.63), reduction quality had moderate predictive efficacy (AUC=0.81, 95% CI 0.72, 0.91), while their combination demonstrated even higher predictive efficacy (AUC=0.83, 95% CI 0.74, 0.91). Conclusions:Medial malleolar involvement by the fracture line and reduction quality are independent risk factors for postoperative premature epiphyseal closure in pediatric patients with distal tibial epiphyseal fractures. Reduction quality demonstrates good predictive efficacy, while medial malleolar involvement by the fracture line shows limited predictive value. The combination of both factors achieves even better predictive performance.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective To explore the risk factors for postoperative bleeding after endoscopic resection of gastric gastrointestinal stromal tumor(gGIST)and to construct prediction models using 4 different machine learning algorithms for accurately predicting postoperative bleeding.Methods The clinical data of gGIST patients were collected,and the patients were randomly divided into a training cohort(n=502)and a validation cohort(n=130)at an 8:2 ratio.Synthetic minority over-sampling technique-nominal continuous was used for oversampling in the training cohort.Four prediction models were constructed using gradient boost machine(GBM),deep learning,generalized linear model and distributed random forest,separately;and in addition,the least absolute shrinkage and selection operator was used to screen variables and construct a traditional Logistic regression model.Model performance was evaluated by calculating the area under the receiver operating characteristic curve(AUC),sensitivity,specificity,accuracy,positive predictive value and negative predictive value.Interpretability analyses,including feature importance,SHapley additive exPlanation and force plot,were performed on the optimal model,and a practically applicable web application was developed.Results Among 632 patients,78(12.3%)experienced postoperative bleeding.In the validation cohort,GBM model performed best among 5 prediction models,with an AUC value of 0.889 and a 95%CI of 0.829-0.948,superior to the other 4 models.Variable importance analysis identified surgeon experience,operation time,intraoperative hemorrhage,tumor size as the factors affecting postoperative bleeding prediction.The SHapley additive exPlanation plot and force plot showed the distribution characteristics of variables in the binary classification prediction results and the effect of each variable on the prediction results.Conclusion GBM model has high predictive value for postoperative bleeding following endoscopic resection of gGIST,and the construction of the web application facilitates its clinical use.

Objective:To explore the relationship between programmed death-1(PD-1)inhibitors and cancer-related fatigue(CRF)in patients with malignant melanoma,and to identify associated influencing factors.Methods:A total of 100 patients with malignant melanoma treated at Jinan People's Hospital between April 2019 and April 2024 were included as study subjects.The Chinese version of the Piper Fatigue Scale was used to evaluate patients'fatigue levels within three months before and after the initiation of PD-1 inhibitor therapy.Results:There was a significant difference in CRF score before and after PD-1 inhibitor treatment(P<0.001).Univariate analysis showed no significant association between fatigue severity and factors such as gender,smoking history,tumor site,or PD-1 inhibitor type(all P>0.05).However,age,tumor stage,anemia,leukopenia,secondary hypothyroidism,secondary adrenal insufficiency(AI),and secondary adrenocorticotropic hormone deficiency(P<0.05 or P<0.01 or P<0.001)were significantly associated with CRF.Multivariate regression analysis identified secondary hypothyroidism,secondary AI,anemia,and leukopenia as independent risk factors for severe CRF in patients with malignant melanoma(all P<0.05).Conclusion:Adverse reactions of PD-1 inhibitors,including secondary hypothyroidism,secondary AI,anemia,and leukopenia,are independent risk factors for CRF in patients with malignant melanoma.

The biological activity of chitinase in degrading chitin has garnered extensive attention,particularly for its potential applications in biological control.This study utilized four spore-form-ing Bacillus strains isolated from Dermacentor nuttalli ticks collected in the Hulunbuir region.Traditional bacterial culture methods were employed for isolation and identification,followed by 16S rRNA sequencing and phylogenetic analysis of the purified cultures.chitin-hydrolyzing strains were screened using colloidal chitin plates,and specific chitinase genes were detected via PCR.Fer-mentation was conducted at 37.0 ℃ for 4 d,and the supernatants were subjected to enzyme activity analysis using the DNS method.Four Gram-positive Bacillus strains were successfully isolated from tick tissue samples,they were identified as B.proteolyticus,B.paramycoides,B.thuringien-sis,and B.cereus,and renamed IMH/B-1,IMH/P-1,IMH/T-1,and IMH/C-1,respectively.PCR a-nalysis detected chitinase genes in B.proteolyticus and B.thuringiensis,while B.cereus and B.pa-ramycoides lacked these genes.However,three strains B.proteolyticus,B.thuringiensis,and B.ce-reus demonstrated significant(P＜0.01)chitin degradation activity on colloidal chitin.Enzyme ac-tivity assays revealed that chitinase activity ranged from 1.292 to 2.032 U/mL,with B.proteolytic-us exhibiting the highest activity 2.032 U/mL,followed by B.cereus 1.496 U/mL and B.thuring-iensis 1.324 U/mL.This study provides a foundation for further research and application of chiti-nase-producing Bacillus strains.

Immune inflammatory response runs through the whole pathological process of liver injury， but its specific regulatory mechanism remains unclear. Recent studies have shown that the Notch signaling pathway plays an important role in liver injury by regulating macrophage polarization， activating neutrophil recruitment， and modulating the differentiation of regulatory immune cells. This article systematically reviews the molecular mechanisms of the Notch signaling pathway in mediating immune inflammatory response in liver injury， in order to provide new perspectives for clarifying the molecular mechanism of immune inflammatory damage in liver diseases， as well as a new reference for future research directions.