AIM: To detect the distribution and expression of vascular endothelial growth factor(VEGF)in radiation retinopathy(RR)through fluorescence targeted imaging.METHODS:Covalent binding of fluorescein FITC with VEGF antibody ranibizumab to prepare targeted fluorescent imaging probe ranibizumab-FITC. SD rats were randomly divided into three groups based on the principle of weight balance: a normal control group(Con group), a low-dose radiation group(10 Gy group), and a high-dose radiation group(30 Gy group). Medical linear accelerators and lead blocks were used to locally irradiate the rat eyeballs for modeling. Western blot and qRT-PCR were used to detect the expression levels of VEGF-A in each group and to screen for appropriate modeling dose. The inverted fluorescence microscope and the confocal microscope were used to observe the distribution of VEGF and imaging probes in the retinas of control and RR model group rats, and to verify the effectiveness of targeted probes.RESULTS:The expression level of VEGF-A in the retina of rats in the high-dose radiation group(30 Gy group)was higher than that in the normal control group(Con group). In early RR, VEGF expression was observed to be associated with microaneurysms and abnormal microvessels in the retina. VEGF accumulation was observed at the site of capillary wall damage. When retinal capillary endothelial damage occurred, targeted probes gathered on the outer surface of the vessel wall.CONCLUSION:The expression level of VEGF in the retina of RR model rats is elevated, and fluorescent targeted molecular imaging probes can detect the spatial distribution of VEGF at the microvascular lesions in the retina of RR rats.

Hepatic fibrosis is a reversible pathological process in various chronic liver diseases and is closely associated with the development and progression of severe liver diseases such as liver cirrhosis and hepatocellular carcinoma， and it has emerged as a significant global health challenge. In recent years， studies have shown that histone lactylation， a newly discovered epigenetic modification， actively participates in regulating the progression of hepatic fibrosis. This article systematically reviews the core regulatory effect of histone lactylation modification in the interaction between inflammatory microenvironment and hepatic fibrosis， in order to clarify the cascade regulatory mechanism of “inflammation-hepatic fibrosis” and provide new insights for early diagnosis， targeted intervention， and prevention of malignant transformation in hepatic fibrosis.

ObjectiveTo investigate the effect of isoacteoside on the replication process of respiratory syncytial virus （RSV） and its underlying mechanism. MethodsRSV-infected HEp-2 cells （control group） were treated with isoacteoside （isoacteoside-treated group）. Real-time quantitative PCR （qPCR） was used to analyze the mRNA expression levels of the RSV fusion protein （F） gene and matrix protein （M） gene in both groups. Viral titers were determined by plaque assay to assess the inhibitory effect of isoacteoside on viral replication. The number of RSV inclusion bodies formed was determined using cell transfection and laser confocal imaging to evaluate the role of isoacteoside in the formation of inclusion bodies required for RSV replication. 18 seven-week-old female BALB/c mice were randomly divided into three groups： uninfected control group （n=6）， RSV-infected group （n=6）， and RSV-infected group treated with isoacteoside （n=6）. 5 days after infection， the mice were euthanized and lung tissues were collected for pathological analysis to assess the therapeutic effects of isoacteoside on RSV-induced lung tissue injury. ResultsCompared to the control group， the isoacteoside-treated group exhibited the reduced mRNA levels of the RSV F gene （t=17.13， P<0.001） and M gene （t=18.22， P<0.001）， as well as a decrease in viral titer （t=15.32， P<0.001）. The number of inclusion bodies was also significantly reduced （t=16.12， P<0.001）. In the RSV-infected mouse experiment， compared to the RSV-infected group， the isoacteoside-treated group showed a decrease in the levels of inflammatory cytokines IL-4 （t=14.76， P<0.01） and IL-6 （t=21.13， P<0.001） in lung tissues， as well as decreased mRNA levels of the viral load-associated genes F （t=19.52， P<0.001） and M （t=18.76， P<0.001） in lung tissues. Pathological damage to lung tissue caused by RSV infection was alleviated. ConclusionIsoacteoside inhibits RSV replication by interfering with the formation of RSV inclusion bodies and alleviates lung tissue injury induced by RSV infection in mice.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Objective To investigate the impact of long non-coding RNA maternal expression gene 3(lncRNA MEG3)on hypoxia/reoxygenation(H/R)-induced cardiomyocyte apoptosis by modulating the miR-202-5p/signal transducer and activator of transcription 3(STAT3)axis.Methods An H/R cell model was constructed and randomly separated into four groups:sh-NC(transfected with NC shRNA),sh-MEG3(transfected with lncRNA MEG3 shRNA),miR-NC(transfected with lncRNA MEG3 shRNA and NC miR),and in-miR-202-5p(transfected with lncRNA MEG3 shRNA and miR-202-5p inhibitor).In addition,the H/R group(nontransfected H/R model cells)and the AC 16 group(normal AC 16 cells)were set.Quantitative real-time PCR method was used to analyze the expression of lncRNA MEG3,miR-202-5p,and STAT3 in cells from each group.CCK-8 method was used to analyze cell viability.Flow cytometry was used to analyze apoptosis.Enzyme-linked immunosorbent,colorimetric,and probe assays were applied to detect the levels of inter-leukin-6(IL-6),tumor necrosis factor α(TNF-α),malondialdehyde(MD A),glutathione peroxidases(GSH-Px),and reactive oxygen spe-cies(ROS).Western blotting was carried out to examine the expression of STAT3,Bcl-2-associated X protein(Bax),B-cell lymphoma-2(Bcl-2),caspase-3,and caspase-9.A dual luciferase assay was used to analyze the relationship between lncRNA MEG3 and miR-202-5p,as well as the relationship between miR-202-5p and STAT3.Results Compared with that in the AC 16 group,the expression of lncRNA MEG3 and STAT3 in cells in the H/R group increased,while the expression of miR-202-5p decreased(P＜0.05).Compared with that in the H/R group and sh-NC group,the expression of lncRNA MEG3 and STAT3 decreased in the sh-MEG3 group,while the expression of miR-202-5p increased(P＜0.05).Compared with that in the sh-MEG3 group and miR-NC group,the expression of lncRNA MEG3 and STAT3 increased in the in-miR-202-5p group,while the expression of miR-202-5p decreased(P＜0.05).Compared with that in the AC 16 group,the apoptosis rate,levels of IL-6,TNF-α,MDA,and ROS,and the expression of STAT3,Bax,cleaved caspase-3,and cleaved caspase-9 increased in the H/R group.In contrast,the cell viability,clone count,levels of superoxide dismutase(SOD)and GSH-Px,and the expression of Bcl-2 decreased(P＜0.05).Compared with that in the H/R group and sh-NC group,the cell viability,clone count,levels of SOD and GSH-Px,and the expression of Bcl-2 increased in the sh-MEG3 group.In contrast,the apoptosis rate,levels of IL-6,TNF-α,MDA,and ROS,and the expression of STAT3,Bax,cleaved caspase-3,and cleaved caspase-9 decreased(P＜0.05).Compared with that in the sh-MEG3 group and miR-NC group,the apoptosis rate,levels of IL-6,TNF-α,MDA,and ROS,and the expression of STAT3,Bax,cleaved caspase-3,and cleaved caspase-9 increased in the in-miR-202-5p group.In contrast,the cell viability,clone count,levels of SOD and GSH-Px,and the expression of Bcl-2 decreased(P＜0.05).There were multiple binding sites between lncRNA MEG3 and miR-202-5p,and between miR-202-5p and STAT3.The luciferase activity was lower in the WT-MEG3+miR-202-5p group than in the WT-MEG3+miR-NC group(P＜0.05).The luciferase activity was lower in the WT-STAT3+miR-202-5p group than in the WT-STAT3+miR-NC group(P＜0.05).Conclusion Knocking down lncRNA MEG3 can downregulate STAT3 by negatively regulating miR-202-5p,inhibiting H/R-induced cardiomyocyte apoptosis.

Objective To explore the prediction performance of the autoregressive summation moving average(ARIMA)model based on empirical mode decomposition(EMD)for the prevalence trend of tuberculosis,to provide method support for the prediction of tuberculosis,and to provide ideas for the prediction of other infectious diseases.Methods The monthly data of pulmonary tuberculosis incidence in Shanxi Province from January 2008 to December 2018 were collected and sorted.The last three months,six months,nine months and one year of the data were used as the test set to evaluate the model prediction effect,and the training set was the remaining data of the corresponding sequence.The EMD-ARIMA model was constructed to predict and compared with the single ARIMA model.Results The predicted errors of EMD-ARIMA model for the next three months,six months,nine months and one year were all smaller than the errors of ARIMA model.Conclusion Compared with single ARIMA model,EMD-ARIMA model can improve the prediction accuracy and predict the incidence of pulmonary tuberculosis,and provide effective theoretical reference for disease control and prevention.

Objective This study aimed to explore the feasibility of using a long short-term memory(LSTM)model based on empirical mode decomposition(EMD)and singular spectrum analysis(SSA)to predict the incidence of pulmonary tuberculosis in Shanxi Province.The goal was to provide a reliable prediction method to support the prevention and control of tuberculosis epidemics in the region.Methods Collecting and collating monthly data on the reported incidence of tuberculosis nationwide from January 2007 to December 2018.The LSTM、EMD-LSTM、SSA-LSTM models were established using the reported monthly incidence of tuberculosis reported in Shanxi Province from January 2007 to December 2017 as the training set and using the reported monthly incidence of tuberculosis from January to December 2018 as the test set.Mean squared error(MSE),mean absolute error(MAE),root mean squared error(RMSE),and mean absolute percentage error(MAPE)were used to evaluate the prediction effect of the models to determine the best model.Results The MSE,MAE,RMSE and MAPE of the EMD-LSTM model in predicting the incidence trend of pulmonary tuberculosis in the next year were 0.036,0.140,0.189 and 0.045,respectively.Compared with the LSTM model,the prediction performance increased by 66.36%,38.33%,42.38%and 41.56%,respectively.Compared with the SSA-LSTM model,it improved by 28.00%,9.68%,15.25%and 16.67%,respectively.Conclusion Compared with the single LSTM model,the fitting and prediction performance of EMD-LSTM and SSA-LSTM models are improved effectively.However,the prediction effect of EMD-LSTM model is better than that of SSA-LSTM model.Therefore,the EMD-LSTM model is more suitable for predicting the incidence trend of pulmonary tuberculosis in Shanxi Province,and can provide a theoretical basis for tuberculosis prevention and control policies.

Objective To explore the prediction performance of the autoregressive summation moving average(ARIMA)model based on empirical mode decomposition(EMD)for the prevalence trend of tuberculosis,to provide method support for the prediction of tuberculosis,and to provide ideas for the prediction of other infectious diseases.Methods The monthly data of pulmonary tuberculosis incidence in Shanxi Province from January 2008 to December 2018 were collected and sorted.The last three months,six months,nine months and one year of the data were used as the test set to evaluate the model prediction effect,and the training set was the remaining data of the corresponding sequence.The EMD-ARIMA model was constructed to predict and compared with the single ARIMA model.Results The predicted errors of EMD-ARIMA model for the next three months,six months,nine months and one year were all smaller than the errors of ARIMA model.Conclusion Compared with single ARIMA model,EMD-ARIMA model can improve the prediction accuracy and predict the incidence of pulmonary tuberculosis,and provide effective theoretical reference for disease control and prevention.

Objective To explore the prognostic value and immune effects of insulin-like growth factor family 2(IGFL2)in bladder cancer based on data from TCGA,TIMER2.0 and HPA.Methods Bioinformatics analysis was conducted to analyze the expression of IGFL2 in bladder cancer and its relationship with survival and prognosis of bladder cancer patients.The receiver operating characteristic(ROC)curve and prognostic nomogram were plotted to analyze the diagnostic value of IGFL2 for bladder cancer and its ability to predict the 5-year overall survival rate of patients.IGFL2-related signaling pathways were analyzed with GSEA enrichment.The correlation between IGFL2 expression and immune cells was analyzed based on data from the TIMER database.Results IGFL2 was highly expressed in bladder cancer(P＜0.001).The high expression of IGFL2 was positively correlated with patients'age,pathological stage,histological grade and T stage(all P＜0.05).Patients'with high IGFL2 expression had shorter overall survival and disease-specific survival than those with low IGFL2 expression(all P＜0.05).IGFL2 could be used as an independent prognostic factor for bladder cancer with good diagnostic and predictive value.GSEA enrichment analysis showed that IGFL2 was involved in signaling pathways related to immunity,inflammation and tumor.High IGFL2 expression was positively correlated with the infiltration of most immune cells.Conclusion IGFL2 is highly expressed in bladder cancer and can be a biomarker for the diagnosis and prognosis of this disease.It may become a potential target for immunotherapy.

Objective:To investigate the early clinical outcomes of anterior cervical discectomy and fusion (ACDF) in the treatment of two-segment cervical spondylotic myelopathy (CSM) using a cervical soft endoscopic minimally invasive system.Methods:A retrospective follow-up study was conducted on the medical records of 23 patients with two-segment cervical myelopathy who underwent ACDF using a soft endoscopic cervical spine minimally invasive system at the Third Affiliated Hospital of Southern Medical University between October 2022 and December 2023. The cohort included 15 males and 8 females, aged 37-79 years (58.52±11.77 years). The affected cervical segments included: C 3, 4 and C 4, 5 in 2 cases; C 3, 4 and C 5, 6 in 3 cases; C 4, 5 and C 5, 6 in 10 cases; C 5, 6 and C 6, 7 in 7 cases; and C 4, 5 and C 6, 7 in 1 case. Clinical outcomes were evaluated based on the Japanese Orthopaedic Association (JOA) scores and visual analog scale (VAS) for neck and shoulder pain, assessed preoperatively and at 1 week, 1 month, and 3 months postoperatively. Additional data recorded included incision length, intraoperative blood loss, operative time, postoperative complications, and the presence of prevertebral soft tissue edema. The improvement rate of JOA scores at the final follow-up was also calculated. Results:All patients successfully underwent surgery and completed follow-up, with follow-up durations ranging from 3 to 6 months (4.01±0.98 months). The mean operative time was 80.09±22.66 min (range: 53-127 min), and the mean incision length was 3.25±0.32 cm (range: 3-4 cm). Estimated blood loss ranged from 10 to 100 ml, with a mean of 34.78±24.1 ml. Postoperative drainage ranged from 0 to 80 ml (mean: 23.13±26.1 ml), and postoperative hospitalization durations ranged from 4 to 12 days (6.83±2.59 days). JOA scores improved significantly from a preoperative median of 9.00(8.00, 10.00) to 12.00(11.00, 14.00) at 1 week, 13.00(12.00, 14.00) at 1 month, and 15.00(15.00, 16.00) at 3 months postoperatively (χ 2=220.492, P<0.001). VAS scores for neck and shoulder pain also improved significantly from a preoperative median of 5.00(4.00, 6.00) to 3.00(2.00, 3.00) at 1 week, 2.00(2.00, 3.00) at 1 month, and 2.00(1.00, 2.00) at 3 months postoperatively (χ 2=170.869, P<0.001). No postoperative complications such as dysphagia, hoarseness, nerve injury, cerebrospinal fluid leakage, or intraspinal hematoma were observed. Imaging revealed no significant prevertebral soft tissue edema. At the final follow-up, the improvement rate of JOA scores resulted in 14 cases rated as excellent and 9 as good. Conclusions:ACDF using a cervical soft endoscopic minimally invasive system demonstrates satisfactory clinical outcomes for the treatment of two-segment CSM. This technique reduces the incidence of common complications associated with both open and traditional endoscopic surgeries.