Objective To investigate the radon activity concentrations in subways of Nanning City and assess the average annual effective doses for subway staff and passengers due to radon exposure. Methods Sixty-three stations across the subway lines 2, 3, and 5 were selected as study sites. Radon activity concentrations were measured using the scintillation counting method with scintillation vials. Results The radon activity concentrations in subway lines 2, 3, and 5 were 7.9-24.4, 12.0-26.2, and 12.6-18.2 Bq/m³, respectively. The average radon activity concentrations for these three lines were (17.4 ± 4.6), (19.1 ± 4.1), and (14.6 ± 1.7) Bq/m³, respectively. Statistical analysis using SPSS 26.0 software revealed a significant difference in radon activity concentrations among these stations (P<0.01). Considering the data in previous research, the average radon activity concentration across all stations in the subway lines of Nanning City was determined to be 17.4 Bq/m³. The estimated average annual effective dose due to radon exposure was 0.131 mSv for subway staff and 0.033 mSv for passengers. Conclusion The radon activity concentrations in the subway lines of Nanning City were significantly lower than the national standard limit (400 Bq/m³). The annual effective doses from radon exposure for both subway staff and passengers were below the limits specified in the Basic Standards for Protection Against Ionizing Radiation and for the Safety of Radiation Sources (GB18871—2002). The health impact of radon and its progeny on subway staff and passengers in the subway lines of Nanning City was extremely low and can be considered negligible.

AIM:To investigate the effects of high-altitude hypoxic exposure on retinal injury and the associated changes in oxidative stress-related indicators in rats. METHODS: Twenty-four healthy male Sprague-Dawley(SD)rats were randomly divided into a plain group and a high-altitude group, with 12 rats(24 eyes)in each group. Rats in the plain group were housed under normoxic conditions in an SPF-grade animal facility, whereas rats in the high-altitude group were placed in a special environmental chamber simulating an altitude of 6 000 m for 7 d. Optical coherence tomography(OCT)was used to assess retinal layer architecture and quantify retinal thickness. Hematoxylin-eosin(HE)staining was performed to observe retinal histopathological changes. Immunofluorescence(IF)was used to detect the expression of hypoxia-inducible factor-1α(HIF-1α)in retinal tissue. Transmission electron microscopy(TEM)was applied to examine the ultrastructure of retinal ganglion cells(RGCs). Enzyme-linked immunosorbent assay(ELISA)was used to measure the levels of malondialdehyde(MDA), total superoxide dismutase(T-SOD), and reduced glutathione(GSH)in retinal tissue. In addition, intracellular reactive oxygen species(ROS)levels in retinal tissue were assessed using the 2',7'-dichlorodihydrofluorescein diacetate(DCFH-DA)fluorescent probe. RESULTS: OCT examination revealed disorganized retinal architecture in the high-altitude group, with increased inner and middle ring thickness and decreased outer ring thickness compared with the plain group(all P<0.05). HE staining showed varying degrees of retinal layer damage, blurred layer boundaries, loosely arranged RGCs, and partial cellular necrosis in the high-altitude group. IF analysis demonstrated significantly increased HIF-1α expression in the inner nuclear layer of the high-altitude group(P<0.01). TEM revealed mitochondrial swelling, disrupted cristae, and reduced matrix electron density in RGCs of the high-altitude group. ELISA and fluorescence probe assays showed significantly elevated MDA levels and ROS fluorescence intensity, accompanied by decreased T-SOD and GSH levels in the retinal tissue of the high-altitude group(all P<0.05). CONCLUSION: Exposure to a high-altitude hypoxic environment induces marked morphological and ultrastructural damage in the rat retina and significantly enhances oxidative stress, suggesting that oxidative stress may play a critical role in retinal injury induced by high-altitude hypoxia.

Objective To explore scientific and accurate prediction methods for the incidence of hand, foot, and mouth disease in the post-pandemic era, and to address modeling challenges caused by abnormal fluctuations in case numbers from 2020 to 2023. Methods The seasonal index was used to pre-process the data. The traditional seasonal autoregressive integrated moving average (SARIMA) model, singular spectrum analysis (SSA)-ARIMA model, ARIMA-Long short-term memory (LSTM) model, and SSA-ARIMA-LSTM model were used to fit the incidence from 2013 to 2023, and the incidence of hand, foot and mouth disease in 2024 was predicted. The real data collected in 2024 were used as the test set to compare the prediction performance of the models. Results The fitting performance of the constructed models was as follows: the ARIMA model had MAE=107.50 and RMSE=144.53, the SSA-ARIMA model showed MAE=2.84 and RMSE=4.33, the ARIMA-LSTM model achieved MAE=99.46 and RMSE=131.59, and the SSA-ARIMA-LSTM model had MAE=96.35 and RMSE=132.13. In terms of prediction performance, the ARIMA model resulted in MAE=151.64 and RMSE=146.70, the SSA-ARIMA model demonstrated MAE=41.22 and RMSE=57.01, the ARIMA-LSTM model yielded MAE=220.75 and RMSE=257.89, and the SSA-ARIMA-LSTM model recorded MAE=58.83 and RMSE=72.06. Conclusion The SSA-ARIMA model has the best fitting degree and the highest prediction accuracy, and is suitable for predicting the incidence trend of hand, foot and mouth disease.

Patients with panvascular disease （PVD） often experience bleeding events while receiving standard antithrombotic therapy. Based on the theory of "guarding the channel passages"， the retention of blood stasis is considered as a crucial pathological basis for PVD. The combination of the retention of blood stasis and the failure of the channel passages to contain blood constitutes the core pathogenesis of bleeding events in this condition. According to their pathogenesis and clinical characteristics， bleeding events in PVD are categorized into a bleeding stage and a stable stage. During the bleeding stage， treatment should focus on stanching bleeding and dispersing stasis to restore normal circulation in the channel passages. During the stable stage， treatment should aim to dispel stasis and generate new blood to harmonize the channel passages. In clinical practice， physicians should dynamically weigh the risks of bleeding and ischemia against the intensity of antithrombotic therapy. The ultimate goal is to harmonize qi and blood and ensure that blood remains properly contained within the channel passages， thereby reducing the risk of bleeding events and enhancing overall patient benefit.

ObjectiveTo investigate the functional role and underlying molecular mechanisms of fumarylacetoacetate hydrolase （FAH） in the progression of glioblastoma （GBM）. MethodsDifferential expression analysis was performed on the TCGA-GBM， GSE4290， and GSE116520 datasets. Weighted gene co-expression network analysis （WGCNA） was used to identify key modules， and Cox regression and risk modeling were used to screen prognostic genes. Immune infiltration analysis of prognostic genes was carried out by using single-cell RNA sequencing panels. The clinical expression signature of FAH in GBM was analyzed in the TCGA and HPA databases. The functional role of FAH was validated by in vitro and in vivo experiments， and pathway analysis was performed to explore the underlying mechanisms. ResultsA total of 152 overlapping genes were identified across the three GBM datasets （P<0.05）. WGCNA revealed that the turquoise module was most strongly associated with tumor purity， stromal score， immune score， and ESTIMATE score （P<0.001）. Compared with normal tissues， three prognostic genes （CTSD， FAH， and THBD） were upregulated in GBM and correlated with immune infiltration （P<0.05）. FAH mRNA and protein levels were elevated in GBM tissues relative to normal tissues， and its expression was significantly associated with age stratification and TP53 mutation （P<0.05）. CCK-8 assay results showed that， compared with the shNC group， the proliferative activity of GBM cells in the shFAH group was reduced （P<0.001）. Transwell migration and invasion assays demonstrated that， relative to the shNC group， the numbers of migrated and invaded cells in the shFAH group decreased （P<0.05）. Western blot analysis revealed that the protein expression levels of PI3K， p-AKT， and p-mTOR in the shFAH group decreased compared with those in the shNC group （P<0.05）. In vivo subcutaneous xenograft experiments further confirmed that tumor volume and weight significantly decreased in the shFAH group compared with the shNC group （P<0.001）. ConclusionFAH promotes GBM progression by activating the PI3K/AKT/mTOR signaling pathway and may serve as a potential therapeutic target for GBM.

To analyze the application value of artificial intelligence (AI)-based classification in the categorization of medical adverse events.

Heart transplantation is the gold standard for the treatment of patients with end-stage heart failure. Nevertheless, postoperative rejection, ischemia-reperfusion injury, adverse reactions to immunosuppressive drugs and long-term allograft dysfunction remain the major challenges restricting the long-term survival of patients. In the past year, Chinese researchers have carried out a series of high-level studies and made important breakthroughs in key fields including risk stratification of patients with end-stage heart failure, innovations in donor heart preservation technology, novel therapeutic targets for the intervention of ischemia-reperfusion injury, nano-targeted immunosuppressive strategies, gene expression regulation of rejection, and monitoring by ultrasound molecular imaging. This article systematically reviews the academic achievements made by Chinese researchers in the field of heart transplantation in 2025, with a focus on sorting out mechanism innovations, technological breakthroughs and clinical translational applications, so as to provide references for clinical practice and future research directions in heart transplantation.

Objective: To explore the independent risk factors of allogeneic blood transfusion during perioperative period of cytoreductive surgery in patients with ovarian cancer, and to construct a predictive model to facilitate clinical risk assessment and optimize perioperative blood management. Methods: Clinical data of 156 patients who underwent cytoreductive surgery for ovarian cancer in our hospital from January 2020 to December 2025 were retrospectively collected. The patients were divided into transfusion group (n=51) and non-transfusion group (n=105) according to whether they received allogeneic blood transfusion during perioperative period. The 1∶1 propensity score matching (PSM) was used to correct the confounding factors. Independent sample t test or Mann-Whitney U test was used for measurement data, and chisquare test was used for enumeration data. Variables with P<0.05 in univariate analysis were included in binary logistic regression for multivariate analysis to determine independent risk factors. A nomogram model for perioperative allogeneic blood transfusion risk prediction was constructed based on independent risk factors. Bootstrap method (100 samples) was used for internal calibration verification. ROC curve was used to evaluate the discrimination efficiency, and decision curve analysis (DCA) was used to evaluate the clinical net benefit of the model. Results: After propensity matching, the baseline data of the two groups were balanced and comparable. Multivariate logistic regression analysis showed that preoperative prothrombin time (PT) (OR=2.666, 95%CI 1.249~5.693, P=0.011), preoperative hemoglobin (Hb) (OR=0.953, 95%CI 0.923~0.984, P=0.003), intraoperative blood loss (OR=1.004, 95%CI 1.001-1.006, P=0.004), preoperative anemia grade (OR=3.052, 95%CI 1.007-9.252, P=0.049) were independent influencing factors of perioperative allogeneic blood transfusion. The nomogram model based on the above four factors was significant (LR χ =58.617, P<0.001), and the internal calibration curve showed that the predicted probability of the model was in good agreement with the actual probability (mean absolute error=0.042). The area under the ROC curve (AUC) was 0.890, indicating good discrimination efficiency. DCA showed that the clinical net benefit of the model was better than that of the unified transfusion/non-transfusion strategy in the 0-0.45 risk threshold range. Conclusion: Intraoperative blood loss, preoperative PT, preoperative Hb and preoperative anemia grade are independent risk factors for perioperative allogeneic blood transfusion in patients undergoing cytoreductive surgery for ovarian cancer. The nomogram model based on the above factors has good predictive efficacy and clinical hierarchical decision-making value, which can provide reference for clinical implementation of individualized blood management for high-risk patients and reduction of unnecessary blood transfusion rate.

Objective: To evaluate oral health status and knowledge, attitude and practice (KAP) among third grade primary school students after the implementation of the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province, so as to provide evidence for program optimization. Methods: Using a multistage cluster sampling method, oral examinations and questionnaire surveys were conducted among third grade primary school students in schools covered by the Comprehensive Intervention Project for Childhood Oral Diseases in Guizhou Province (intervention group, n =1 030) and schools not covered by the program (control group， n =1 130) in November 2023. A follow up survey was conducted one year after the project s implementation (December 2024) to evaluate the differences in oral health status and KAP between the two groups. The t-test and χ 2 test were used to compare means and rates, respectively. Results: One year after implementation, the permanent caries prevalence, caries filling ratio, mean dmft/DMFT, and mean simplified debris index in the intervention group were 33.3%, 22.3 %, 3.44±3.10, 0.77±0.56, which were all better than those in the control group (39.8%, 17.3%, 3.89±2.85, and 0.87± 0.63 ) ( χ 2/ t =9.87, 8.78, -2.59, -3.91,all P <0.05). After intervention, the levels of oral health knowledge, attitude and behaviors in the intervention group were better than those in the control group ( Z =7.69, 2.35, 2.10, all P <0.05). Except for the item "fluoride has no protective effect on teeth", the correct response rates of other oral health knowledge items in the intervention group were higher than those in the control group ( χ 2=3.92-163.94, all P <0.05). The reported rates of tooth brushing related behaviors and sugary beverage consumption were higher in the intervention group than in the control group ( χ 2=4.02-11.42，all P <0.05). Conclusions The Comprehensive Intervention Project for Childhood Oral Diseases improves children s oral health status, oral health knowledge, and some oral health behaviors, but has limited effects on some behaviors and oral health attitudes. Future efforts should focus on the factors influencing the transformation of children s oral health attitudes and behaviors, along with strengthening long term follow up evaluations.

[Objective] To analyze the prognostic value of prostate cancer (PCa) pyroptosis-related genes (PRGs) using gene expression databases and to explore the regulatory mechanism of nucleotidebinding oligomerization domain-like receptor containing pyrin domain 1 (NLRP1) in the pyroptosis of PCa cells. [Methods] Fragments per kilobase of exon model per million reads mapped (FPKM) data and clinical information from PCa and adjacent tissues from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were obtained. Differentially expressed PRGs between PCa and adjacent tissues, classified subtypes and plotted survival curves were analyzed. Univariate Cox regression analysis, least absolute shrinkage and selection operator (LASSO) regression analysis were conducted to screen prognosis-related PRGs, risk scores were calculated, and a prognostic risk model was constructed and validated. Patients were divided into high and low risk groups based on the median risk scores from the training and validation sets, and gene ontology (GO) enrichment and kyoto encyclopedia of genes and genomes (KEGG) analysis were conducted on differentially expressed PRGs. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression level of NLRP1 in PCa cell lines, and pyroptosis was induced in DU145 and LNCaP cells while morphological changes were observed. Western blot (WB) was performed to detect the expression of pyroptosis-related molecules. [Results] A total of 6 prognostic-related PRGs were obtained, including CHMP4C, CYCS, GPX4, GSDMB, NLRP1, and PLCG1. The risk score was positively correlated with the risk of recurrence but negatively correlated with the progression-free survival (P<0.001). The area under the receiver operating characteristic curves (AUCs) for the training set at 1, 3, and 5 years were 0.769 (95%CI: 0.652-0.878), 0.804 (95%CI: 0.736-0.882), and 0.772 (95%CI: 0.631-0.905), respectively, while those for the validation set were 0.731 (95%CI: 0.647-0.826), 0.753 (95%CI: 0.674-0.818), and 0.763 (95%CI: 0.626-0.849), respectively. Differences in expression levels of the 6 PRGs were observed between the high and low risk groups in both the training and validation sets (P<0.05). Cox regression analysis showed that T stage, prostate specific antigen (PSA), Gleason grade, and risk score were independent predictors of PCa prognosis (P<0.05). Differences in risk scores were observed among patients of different ages, T stages, and Gleason grades (P<0.05). NLRP1 was found to be lowly expressed in PCa cell lines and was involved in the regulation of pyroptosis in DU145 and LNCaP cells. [Conclusion] The prognostic risk model constructed based on PRGs has a certain predictability for the prognosis of PCa patients, and NLRP1 may be involved in the regulation of pyroptosis in PCa cells.