AIM:To evaluate the clinical efficacy of 0.05% cyclosporine eye drops(Ⅱ)combined with sodium hyaluronate eye drops in treating patients with type 2 diabetes mellitus(T2DM)and moderate-to-severe dry eye.METHODS:A total of 120 T2DM patients(120 eyes)with moderate-to-severe dry eye, treated at the endocrinology and ophthalmology departments at the Affiliated Hospital of Xuzhou Medical University from January 2024 to September 2024, were enrolled in the study. The patients were randomly divided into two groups: combination group [0.05% cyclosporine eye drops(Ⅱ)+ sodium hyaluronate eye drops] and control group(sodium hyaluronate eye drops alone), with 60 cases(60 eyes)in each group. Assessments were conducted at baseline and at 1, 2, and 3 mo post-treatment, including the ocular surface disease index(OSDI), non-contact tear meniscus height(NITMH), first non-invasive tear breakup time(NIBUTf), meibomian gland loss score, lipid layer thickness grade, conjunctival hyperemia grade, and corneal fluorescein staining(FL)score. At 3 mo after treatment, changes in tear inflammatory factors were observed, and corneal subbasal nerve plexus(SBN)morphology/density were analyzed using in vivo confocal microscopy(IVCM).RESULTS:At 1, 2, and 3 mo post-treatment, both groups showed statistically significant increases in NITMH and NIBUTf compared to baseline(all P<0.05), with greater improvement observed in the combination group(both P<0.05). OSDI and FL scores significantly decreased from baseline(all P<0.05), with more pronounced reductions in the combination group(both P<0.05). Meibomian gland loss scores showed no significant improvement in either group(all P>0.05). At 3 mo after treatment, tear levels of interleukin 6(IL-6)and matrix metalloproteinase-9(MMP-9)significantly decreased in both groups(all P<0.001), with a greater reduction noted in the combination group(both P<0.001). The combination group displayed increased corneal nerve branch density and nerve fiber density, along with decreased nerve tortuosity and dendritic cell(DC)density compared to baseline(all P<0.001), while the control group did not show significant changes(all P>0.05).CONCLUSION: The combination of 0.05% cyclosporine eye drops(Ⅱ)and sodium hyaluronate eye drops significantly improves clinical outcomes in T2DM patients with moderate-to-severe dry eye. This treatment effectively alleviates ocular surface inflammation, restores corneal nerve morphology and density, and demonstrates a favorable safety profile.

AIM: To explore the risk factors associated with diabetic retinopathy(DR)based on ultra-widefield swept-source optical coherence tomography angiography(UWF-SS-OCTA), and to establish a clinical prediction model.METHODS:A total of 235 patients(235 eyes)with type 2 diabetes mellitus who were treated in the Affiliated Hospital of Xuzhou Medical University from July to November 2024 were selected as the research objects. According to the presence or absence of DR, they were divided into 120 cases(120 eyes)in non-DR group(NDR group)and 115 cases(115 eyes)in non-proliferative DR group(NPDR group). Data on general characteristics, laboratory tests, and OCTA results were collected for both groups. Univariate analysis was employed to identify DR-related risk factors. Logistic regression analysis was conducted to analyze these risk factors and to establish a DR prediction model. The efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve, calibration curve, and decision curve analysis(DCA).RESULTS: The duration of diabetes, fasting blood glucose, blood urea nitrogen(BUN), history of hypertension, and the choroidal vascular index(CVI)were found to be statistically significant in the model(all P<0.05). Specifically, the duration of diabetes, fasting blood glucose, BUN, and history of hypertension were identified as risk factors for DR among diabetic patients, while CVI was recognized as a protective factor. The area under the curve for the model predicting the probability of DR was 0.898(0.859-0.938), with a diagnostic threshold of 0.438. The corresponding sensitivity and specificity were 87.8% and 78.3%, respectively, indicating that the model possesses high predictive value for the occurrence of DR.CONCLUSION: The duration of diabetes, fasting blood glucose, BUN, history of hypertension, and CVI are significantly correlated with DR. The established prediction model demonstrates a substantial screening capability for DR.

ObjectiveTo investigate the mechanism of action of modified Shaofu Zhuyutang in antagonizing cellular pyroptosis and fibrosis in ectopic endometrial tissues of endometriosis through the Toll-like receptor 4/nuclear factor-κB/NOD-like receptor protein 3 （TRL4/NF-κB/NLPR3） signaling pathway. MethodsSeventy-two SPF-grade female SD rats were randomly divided into a sham-operated group （n = 12） and a modeling group （n = 60）. The rats in the sham-operated group underwent a caesarean section， while the rats in the modeling group were used to establish an endometriosis model through the auto-transplantation method. After successful modeling， the animals were randomly divided into the model group， progesterone group （0.25 mg·kg^-1）， and modified Shaofu Zhuyutang low-， medium-， and high-dose groups （7.5， 15， 30 g·kg^-1）， with 12 animals in each group. After 4 weeks of drug administration， voluntary activity and heat pain latency were observed. The rats were sacrificed for tissue collection， and Masson staining were used to observe histopathological changes in the endometrial tissues. Enzyme-linked immunosorbent assay （ELISA） was used to measure serum levels of interleukin-18 （IL-18）， interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and transforming growth factor-β （TGF-β）. Immunohistochemistry （IHC） was used to detect the protein expression area of tumor necrosis factor-related factor 6 （TRAF6） and NLPR3 in the endometrial tissues. Immunofluorescence （IF） was used to detect the relative fluorescence intensity of Caspase-1 and gasdermin D （GSDMD） in the endometrial tissues. Western blot was employed to measure the relative expression of TRL4， myeloid differentiation factor 88 （MyD88）， TRAF6， NF-κB p65， phosphorylated NF-κB p65 （p-NF-κB p65）， and NLPR3 proteins in endometrial tissues. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRL4， MyD88， TRAF6， NF-κB， and NLPR3 in the endometrial tissues. ResultsCompared with the sham-operated group， rats in the model group showed reduced voluntary activity and shorter heat pain latency. Serum levels of IL-18， IL-1β， TNF-α， and TGF-β were elevated. The relative expression areas of TRAF6 and NLPR3 proteins were increased， and the relative fluorescence intensity of Caspase-1 and GSDMD was enhanced. The relative expression of TRL4， MyD88， TRAF6， NF-κB p65， p-NF-κB p65， and NLPR3 proteins， along with the expression of TRL4， MyD88， TRAF6， NF-κB， and NLPR3 mRNA， were significantly increased （P<0.01）. Compared with the model group， rats in the progesterone group and the modified Shaofu Zhuyutang medium- and high-dose groups exhibited improved voluntary activity， longer heat pain latency， the fibrosis of endometrial tissue is alleviated. Serum levels of IL-18， IL-1β， TNF-α， and TGF-β were decreased. The relative expression areas of TRAF6 and NLPR3 proteins decreased， and the relative fluorescence intensity of Caspase-1 and GSDMD weakened. The relative expression of TRL4， MyD88， TRAF6， p-NF-κB p65， NLPR3 proteins， and TRL4， MyD88， TRAF6， NF-κB， and NLPR3 mRNA expression were reduced （P<0.05， P<0.01）. ConclusionModified Shaofu Zhuyutang may play a therapeutic role in endometriosis by interfering with key proteins in the TRL4/NF-κB/NLPR3 signaling pathway， reducing NLRP3 inflammasome-induced cellular pyroptosis， antagonizing the fibrosis process in ectopic endometrial tissues， improving the inflammatory microenvironment in the pelvic cavity， and alleviating pain.

ObjectiveTo observe the effects of modified Shaofu Zhuyutang on key proteins of the epidermal growth factor receptor （EGFR）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway in SD rats with endometriosis. MethodsAfter successful establishment of an endometriosis model in 60 female SD rats of SPF grade via the auto-transplantation method， the rats were randomly divided into a model group， modified Shaofu Zhuyutang high-， medium-， and low-dose groups， and a gestrinone group， with another 12 rats serving as a blank group. The blank and model groups were administered 10 mL·kg^-1 normal saline， while the high-， medium-， and low-dose groups received 30， 15， and 7.5 g·kg^-1 modified Shaofu Zhuyutang， respectively. The gestrinone group was administered 0.25 mg·kg^-1 gestrinone suspension. After four weeks of treatment， uterine contractions were induced with 2 U of oxytocin， and the writhing response of rats was observed. After 24 h， the rats were euthanized， and the weight and volume of ectopic endometrial tissue were recorded. Hematoxylin-eosin （HE） staining was used to observe pathological changes in endometrial tissues， while the terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling （TUNEL） assay was used to evaluate the apoptosis rate of endometrial tissues. Immunofluorescence was used to detect the relative expression areas of the B-cell lymphoma-2 gene-associated promoter （Bad） and B-cell lymphoma-2 （Bcl-2） proteins in endometrial tissues. Serum levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， epidermal growth factor （EGF）， and EGFR were measured by enzyme-linked immunosorbent assay （ELISA）. The relative protein expression levels of EGFR， PI3K， phosphorylated PI3K （p-PI3K）， Akt， and phosphorylated Akt （p-Akt） in endometrial tissues were analyzed by Western blot. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression levels of EGFR， PI3K， and Akt. ResultsCompared with the blank group， the model group showed endometrial thickening， glandular and mesenchymal hyperplasia， a significant decrease in the relative expression area of Bad in ectopic endometrial tissues， a significant increase in the relative expression area of Bcl-2， and a significant reduction in the apoptosis rate as indicated by TUNEL staining. Serum levels of IL-1β， IL-6， TNF-α， EGF， and EGFR were significantly elevated （P<0.01）. The relative protein expression levels of EGFR， PI3K， p-PI3K， Akt， and p-Akt， as well as the mRNA expression levels of EGFR， PI3K， and Akt， were also significantly increased （P<0.01）. Compared with the model group， the high- and medium-dose groups of modified Shaofu Zhuyutang and the gestrinone group exhibited reduced glandular and mesenchymal hyperplasia to varying degrees， with dilated glandular lumens. The number of writhing responses was significantly reduced， the latency to writhing response was significantly prolonged， and the weight and volume of ectopic endometrial tissue were significantly decreased. The relative expression area of Bad in ectopic endometrial tissue was significantly increased， the relative expression area of Bcl-2 was significantly decreased， and the apoptosis rate was significantly elevated as shown by TUNEL staining. Serum levels of IL-1β， IL-6， TNF-α， EGF， and EGFR were significantly reduced， and the relative protein expression levels of EGFR， PI3K， p-PI3K， Akt， and p-Akt， as well as the mRNA expression levels of EGFR， PI3K， and Akt， were significantly decreased （P<0.05，P<0.01）. ConclusionModified Shaofu Zhuyutang may exert therapeutic effects on endometriosis by interfering with key proteins of the EGFR/PI3K/Akt signaling pathway and inducing apoptosis in ectopic endometrial tissue.

AIM: To assess the stability of the tear film and the characteristics of corneal nerves in patients with Parkinson's disease(PD).METHODS: This cross-sectional observational study included 72 PD patients and 50 healthy controls. Disease severity was determined using the Hoehn-Yahr(H-Y)scale, dividing patients into mild and moderate PD groups. Dry eye symptoms were evaluated via the ocular surface disease index(OSDI)questionnaire, while tear secretion was quantified using the Schirmer I test. Ocular surface damage was assessed through staining scores, and comprehensive ocular examinations were performed utilizing the LipiView ocular surface interferometer and an ocular surface analyzer. Corneal nerve parameters were examined using corneal confocal microscopy in conjunction with automated analysis software ACCMetrics, with correlations drawn between these parameters, PD course, and severity.RESULTS: PD patients exhibited significantly elevated OSDI scores, indicative of more pronounced dry eye symptoms compared to the control group(F=70.290, P<0.01). Tear film stability was markedly compromised, with significantly shorter tear film breakup time and increased corneal fluorescein staining, both showing statistically significant differences relative to controls(all P<0.01). Tear secretion indices, including Schirmer I test results and tear meniscus height, were significantly reduced in PD patients(all P<0.01), whereas lipid secretion indices, such as lipid layer thickness and meibomian gland dropout score, did not show significant variation. Corneal nerve analysis revealed significant reductions in corneal nerve fiber density, nerve branch density, fiber length, and total branch density in PD patients compared to controls(all P<0.01). Furthermore, blink frequency was markedly prolonged(F=62.353, P<0.01). Correlation analysis demonstrated a significant relationship between alterations in tear film stability and both disease duration and H-Y scores.CONCLUSION: PD patients have obvious dry eye manifestations in the early stage of the disease, including the reduction of tear film stability and corneal nerve fiber density, and gradually aggravate with the progress of the disease. Neurodegenerative disease-related dry eye needs to be diagnosed early and actively treated.

AIM:To quantitatively assess the early alterations of retinal and choroidal microcirculation and microstructure in systemic lupus erythematosus(SLE)patients without coexisting retinopathy via ultra-widefield swept-source optical coherence tomography angiography(UWF SS-OCTA).METHODS:Cross-sectional study. Totally 64 cases(64 eyes)that diagnosed as SLE without associated retinopathy at the Affiliated Hospital of Xuzhou Medical University from May to October 2024 were enrolled as the study group(Randomly assign one eye to the study group). Simultaneously, age-and gender-matched healthy individuals were recruited as the control group. All participants underwent UWF SS-OCTA. The deep capillary plexus(DCP), superficial capillary plexus(SCP), total retina, choriocapillaris(CC), as well as the choroidal medium and large vessel density(VD)in both the central and peripheral retinal areas of both groups of patients were compared. Additionally, parameters such as choroidal vascularity volume(CVV), choroidal vascularity index(CVI), thickness of the inner retina, outer retina, entire retina, and choroid in both central and peripheral area. SLE patients were categorized into three subgroups based on the SLE disease activity index(SLEDAI-2K), including 20 cases(20 eyes)in mild-and no-activity group(SLEDAI-2K≤6), 20 cases(20 eyes)in moderate-activity group(7

Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4～0.825 1),0.745 4(95%CI:0.671 1～0.814 3),and 0.724 7(95%CI:0.639 7～0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9～0.757 6),0.652 5(95%CI:0.576 7～0.729 1),and 0.779 2(95%CI:0.712 5～0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7～0.874 3),0.782 4(95%CI:0.703 1～0.848 2),and 0.796 6(95%CI:0.718 1～0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.

Objective To evaluate the predictive value of deep learning features from chest CT images combined with clinical and radiomics features for epidermal growth factor receptor(EGFR)mutations in non-small cell lung cancer(NSCLC).Methods This case-control study retrospectively analyzed clinical and imaging data of 1 070 NSCLC patients from radiology departments at three hospitals(January 2013 to October 2023).Patients were divided into:a training set(n=502)and internal validation set(n=217)via 7∶3 randomization of 719 cases from the First Affiliated Hospital of Army Medical University;external validation set 1(n=173)from General Hospital of Eastern Theater Command;external validation set 2(n=178)from Daping Hospital of Army Medical University.Deep learning features were extracted using a 2.5D convolutional neural network(CNN)with ResNet101 backbone,radiomics features were derived from CT images,and clinical risk factors were identified to construct models.An integrated model combined deep learning,clinical,and radiomics features.All four models were developed using random forest(RF)classifiers.Calibration curves assessed goodness-of-fit,and decision curve analysis(DCA)evaluated clinical utility.Results The deep learning model achieved AUCs of 0.833 7(95%CI:0.770 6～0.884 7),0.815 1(0.741 6～0.882 8),and 0.810 1(0.745 2～0.873 6)in the internal and two external validation sets,respectively.Clinical models yielded AUCs of 0.731 0(0.660 2～0.802 1),0.746 0(0.666 4～0.824 9),and 0.813 4(0.743 1～0.883 6);radiomics models showed AUCs of 0.762 4(0.692 4～0.825 1),0.745 4(0.671 1～0.814 3),and 0.724 7(0.639 7～0.801 6).The integrated model demonstrated optimal performance with AUCs of 0.905 5(0.857 0～0.945 4),0.832 7(0.763 3～0.896 4),and 0.889 0(0.834 4～0.934 3).DCA indicated significant net benefit for EGFR prediction at threshold probabilities of 0.15～0.85 using the integrated model.Conclusion Deep learning features from CT images effectively predict EGFR mutation status in NSCLC.The integrated model combining deep learning,clinical,and radiomics features further enhances predictive performance.

AIM: To evaluate the efficacy of 0.01% hypochlorous acid as a conjunctival sac disinfectant before cataract phacoemulsification and its impact on the ocular surface.METHODS: Randomized controlled clinical trial. A total of 285 patients who were scheduled for cataract phacoemulsification surgery were randomly divided into the hypochlorous acid group and the povidone iodine group. Before and after disinfection, conjunctival sac swabs were taken, and bacterial culture and colony-forming units(CFUs)testing were performed using blood agar and chocolate agar media, respectively. All patients were evaluated for ocular symptom scores and pain severity scores 2 h, 1 d, and 1 wk after disinfection, and underwent corneal fluorescein staining, eye redness index, tear meniscus height, and noninvasive breakup time(NIBUT)examination. The incidence of endophthalmitis after surgery was recorded.RESULTS: Conjunctival sac disinfection with 0.01% hypochlorous acid significantly reduced the rate of positive bacterial cultures and colony-forming ability of the conjunctival sac, with statistically significant differences compared with the pre-disinfection period(both P<0.01), and the disinfecting ability of hypochlorous acid was comparable to that of povidone-iodine(χ2=0.811, P=0.368). The scores of ocular symptoms and pain severity in the hypochlorous acid group were significantly lower than those in the povidone-iodine group(both P<0.01). The corneal fluorescein staining and eye redness index in the hypochlorous acid group were significantly lower than those in the povidone-iodine group(all P<0.01). No endophthalmitis occurred in either group of patients. CONCLUSION: As a conjunctival sac disinfectant, 0.01% hypochlorous acid is safe and effective, with minimal discomfort and damage to the ocular surface in patients.

【Objective】 To explore the causal relationship between education level and pancreatitis risk through Mendelian randomization. 【Methods】 A two-sample Mendelian randomization analysis was conducted using genome-wide association study (GWAS) summary data. The GWAS data for education level and pancreatitis were obtained from SSGAC database and the FinnGen database (version R9). Causal relationship between education level and pancreatitis was explored using the inverse variance weighted (IVW), MR-Egger, and weighted median methods. Heterogeneity and directional pleiotropy were evaluated using Cochran’s Q test and funnel plots. 【Results】 Totally 604 SNPs associated with education level were included. The results provided evidence that there was negative relationship between education level and pancreatitis risk. For acute pancreatitis, OR=0.52, 95% CI: 0.44-0.62, P=2.43×10^-14 while for chronic pancreatitis, OR=0.51, 95% CI: 0.41-0.64, P=7.20×10^-9. Results from MR-Egger and weighted median analyses obtained the same results. The results of sensitivity analysis indicated that this study did not violate the basic assumptions of Mendelian randomization. 【Conclusion】 There is a causal relationship between education level and the occurrence of pancreatitis. The educational level is negatively correlated with the risk of pancreatitis.