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.

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.

Objective:To investigate the effects and mechanism of Jianpi Yangzheng Xiaozheng Prescription in lung pre-metastatic niche formation of gastric cancer by regulating the content of programmed death receptor ligand 1 (PD-L1) in gastric cancer exosomes.Methods:Totally 30 615 mice were divided into normal group, model group, Jianpi Yangzheng Xiaozheng Prescription low- and high-dosage groups, and exosome inhibitor group according to random number table method, with 6 mice in each group. The mouse model of lung pre-metastatic niche formation of gastric cancer was established by tail vein injection of MFC cells. After 12 days of administration, the lung metastasis under the intervention of Jianpi Yangzheng Xiaozheng Prescription was evaluated by observing the infiltration of tumor into lung tissue, weighing lung weight and hematoxylin-eosin (HE) staining of lung tissue. Mouse serum exosomes were extracted by ExoQuick kit and identified by transmission electron microscopy and nanoparticle tracking analysis (NTA). The content of PD-L1 in serum exosomes and the expression levels of serum transforming growth factor-β (TGF-β), interleukin-10 (IL-10) and interleukin-6 (IL-6) were detected by enzyme-linked immunosorbent assay (ELISA). Immunofluorescence was used to detect the phenotype of myeloid-derived suppressor cells (MDSC) and tumor-associated macrophages (TAM) and the expression of PD-L1 in MDSC and TAM.Results:Compared with the model group, after the intervention of Jianpi Yangzheng Xiaozheng Prescription, the lung metastases of mice were reduced ( P<0.05), and the weight of metastatic tumors decreased ( P<0.05). PD-L1 in serum exosomes and the proportion of MDSC and M2 TAM in lung tissue microenvironment decreased, as well as the expression of PD-L1 on MDSC and TAM decreased ( P<0.05). The serum levels of IL-10 and IL-6 significantly decreased ( P<0.05). Conclusion:Jianpi Yangzheng Xiaozheng Prescription can reduce the proportion of MDSC and M2 TAM and the expression level of PD-L1 in the microenvironment of lung tissue before metastasis by inhibiting the transmission of gastric cancer exosome PD-L1 to MDSC and TAM, and reduce the contents of inflammatory factorsIL-10 and IL-6, so as to play a role in improving the microenvironment before lung metastasis of gastric cancer.

Objective To investigate the prevalence of Anisakis infections in coastal marine fishes and awareness of anisakiasis control knowledge among local residents in Yantai City, Shandong Province in 2021, so as to provide insights into formulation of anisakiasis control interventions. Methods Marine fishes were purchased from Shunxin Port, Yantai City, Shandong Province in November 2021, and the presence of Anisakis was detected in different species of fishes and different fish sites. The correlations between body length and weight of marine fish and intensity of Anisakis infections were examined using Spearman’s rank correlation analysis, and the dietary habits and anisakiasis control knowledge were investigated using questionnaire surveys among local residents. Results A total of 201 marine fishes belonging to 20 species were dissected, and Anisakis was detected in 77 marine fishes (38.31%) belonging to 11 species (55.00%), with a mean infection intensity of 45.04 parasites per fish (3 468/77). Spearman’s rank correlation analysis revealed that the body length (r_s = 0.74, P < 0.05) and weight (r_s = 0.79, P < 0.01) of the monkfish correlated positively with the intensity of Anisakis infections, and the body length (r_s = 0.68, P < 0.05) of the flatfish correlated positively with the intensity of Anisakis infections, while no correlations were examined between the body length or weight of other marine fishes and the intensity of Anisakis infections. Of all respondents, 53.38% men and 56.67% women did not know anisakiasis control knowledge at all, and there was a significant difference in the proportion of respondents using separate chopping boards for raw and cooked food from different villages (χ² = 17.89, P < 0.01), while there was an age-specific proportion of respondents with habitats of eating raw or semi-raw seafood (χ² = 28.27, P < 0.01). Conclusions The prevalence and intensity of Anisakis infections were high in coastal marine fishes in Yantai City in 2021, and the awareness of anisakiasis control knowledge was low among local residents. Intensified health education pertaining to anisakiasis control knowledge is recommended to reduce the risk of Anisakis infections.

Objective:To explore the impact of celastrol(CEL)on angiogenesis in rats with endometriosis(EM)and its regu-latory mechanism on Hippo-YAP signal pathway.Methods:SD female rats were grouped into six groups:sham operation group,model group,positive drug group(gestrinone),Verteporfin group(YAP inhibitor),low and high doses CEL groups,with 12 rats in each group.The weight and volume of rat endometrium were measured;HE staining was applied to observe the histological changes of rat endometrium;the microvessel density(MVD)in rat endometrium was detected by immunohistochemistry;the expressions of vascular endothelial growth factor(VEGF),TNF-α,IL-1β and IL-6 in rat serum were detected by ELISA;Western blot was applied to detect the expressions of VEGF and YAP proteins in rat endometrium.Results:Compared with sham operation group,the EM rats in model group showed obvious ectopic endometrial tissue lesions,increased number of interstitial cells,and obvious vascular proliferation,the weight,volume,MVD,the contents of VEGF,TNF-α,IL-1β,IL-6,and the expression levels of YAP,TAZ,and VEGF receptor 2(VEGFR2)proteins in endometrial tissue increased(P<0.05);compared with model group,the ectopic endometrium tissue of EM rats in positive drug group,Verteporfin group and low and high dose CEL groups gradually fell off,the number of interstitial cells were decreased,the structure was loose,and the blood vessels were significantly reduced,the weight,volume,MVD,the contents of VEGF,TNF-α,IL-1β,IL-6,and the expression levels of YAP,TAZ,and VEGFR2 proteins in endometrial tissue were decreased(P<0.05).Conclusion:CEL can inhibit angiogenesis in EM rats by inhibiting Hippo-YAP signal pathway.

Extracorporeal membrane oxygenation (ECMO) provides continuous extracorporeal respiratory and circulatory support for patients with severe heart and lung failure, in order to maintain their lives. Currently, ECMO is an advanced organ support technology and its application in the clinical field of critical care is becoming increasingly common. When ECMO is implemented via percutaneous cannulation at the bilateral femoral artery and vein, the traditional patient pants cannot be used, which leads to exposure of privacy, easy catching of cold, and easy contamination of bed sheets and covers during defecation, making the patient uncomfortable and increasing the risk of infection. Changing bed sheets and covers not only increases the workload of nurses, but also easily causes pipeline displacement or slipping. It is inconvenient to observe the patient's bleeding, displacement, or dislodgement of the pipeline at any time when wearing patient pants. To solve the problems, nursing staff in the emergency intensive care unit of Henan Provincial People's Hospital have designed a protective skirt specifically designed for patients undergoing ECMO, which has obtained a National Utility Model Patent of China (patent number: ZL 2020 2 08120022.9). The special protective skirt for patients with ECMO mainly consists of a skirt body, a transparent observation window, a hip support part, and a fecal collection part. The transparent observation window is convenient for the puncture site and pipeline observation. After the hip support part is inflated, the patient can separate the perianal skin and urine and feces to avoid the occurrence of incontinence dermatitis. The fecal collection part can collect urine and feces to keep the bed unit clean. The protective skirt has a simple structure and is easy to wear and take off. While protecting patient privacy and ensuring patient comfort, it can also observe the condition of the pipeline at any time. It is suitable for patients with lower limb catheterization or urinary and fecal incontinence, and has certain clinical application and promotion value.

This study reported a 50-year-old female patient who was diagnosed with anti-IgLON family member 5 (anti-IgLON5) antibody-related encephalopathy, presented with cognitive and sleep disorders, autonomic dysfunction and seizures, positive serum IgLON5 antibody but negative cerebrospinal fluid IgLON5 antibody, negative human leukocyte antigen (HLA) by genetic testing, and was diagnosed as anti-IgLON5 antibody-related encephalopathy. After hospital admission, the patient was given intravenous methylprednisolone combined with immunoglobulin immunotherapy, donepezil for improvement of cognition, sodium valproate and oxcarbazepine for prevention and treatment of epileptic seizures, and finally her symptoms improved significantly.