This study was aimed at investigating the effects of demethylase fat mass and obesity-associated protein(FTO)and methyltransferase methyltransferase like protein 3(METTL3),key molecules in N6-methyladenosine(m6A)modification,on the replication and proliferation of Japanese encephalitis virus(JEV).Recombinant lentiviruses were generated by packaging the FTO and green fluorescent protein into lentiviral vectors.Neuro2a cells,a mouse neuroblastoma cell line,were infected with the lentivirus,and stable FTO-expressing cell lines were obtained through puromycin selection.Successful overexpression of FTO was confirmed through fluorescence microscopy,real-time quantitative PCR,and western blot analysis.When Neuro2a cells overexpressing FTO were infected with JEV,the overexpression of FTO decreased JEV replication in the cells,and increased the expression of interferon(IFN)and related molecules.Additionally,treatment of JEV-infected Neuro2a cells with the METTL3-specific inhibitor STM2457 resulted in a dose-dependent decrease in JEV replication and viral protein expression.These findings suggested that lowering m6A methylation levels inhibits JEV replication,thus shedding light on the regulatory role of methylation modification in JEV replication.

Objective To explore the chain-mediating effect of anxiety and maladaptive coping strategies on perceived social support and post-traumatic stress disorder(PTSD)in primary caregivers of children with acute leukemia.Methods Two hundred primary care-givers of children with acute leukemia treated in the Pediatric Hematology Department of Shengjing Hospital of China Medical University between September 2022 and April 2023 were selected.A general information questionnaire,Perceived Social Support Scale,Self-Rating Anxiety Scale,Trait Coping Style Questionnaire,and Post-Traumatic Stress Disorder Checklist-Civilian Version were used for the survey.Pearson's correlation analysis was performed to determine the relationships between anxiety,maladaptive coping,perceived social sup-port,and PTSD.The chain-mediating effect was determined by structural equation modeling using Analysis of Moment Structures software and the Bootstrap method.Results PTSD was negatively correlated with perceived social support(r=-0.179,P＜0.05)and positively correlated with anxiety and maladaptive coping(r=0.762,P＜0.01;r=0.423,P＜0.01).Anxiety and maladaptive coping had chain-me-diating roles in the relationship between perceived social support and PTSD.Conclusion Perceived social support can indirectly affect the PTSD level of a caregiver through the chain-mediating effect of anxiety and maladaptive coping strategies.In clinical practice,enhancing caregivers perception of social support can alleviate anxiety,promote positive coping strategies,reduce negative coping strate-gies,and effectively reduce the risk of developing PTSD.

Objective To analyze the implementation of MPOWER tobacco control policies in different regions and populations in China,as well as the impact of perceptions of tobacco control policies on individual smoking behavior and quit intentions,to promote the fairness of policy implementation and protection for vulnerable groups.Methods A multivariable regression model was constructed utilizing raw data from the China Adult Tobacco Survey to analyze disparities in perceived MPOWER policy implementation among various social demographics and its impact on smoking behavior and quitting intentions.Results Regarding protection from tobacco smoke(P),local economic level,urban-rural divide were significantly correlated with awareness of comprehensive smoking bans.For offering help to quit smoking(O),local tobacco industry revenue and individual age were associated with the doctor's advice for quitting.As to the warning about the harm of tobacco(W),economic level,geography and urban-rural disparity were correlated with the visibility of health warnings.About the tobacco advertising,promotion and sponsorship(E),geography was related to the exposure to tobacco advertisements,local tobacco industry revenue was associated with the tobacco promotion.For tobacco taxes(R),education level and age were significantly correlated with tobacco affordability.People who perceived comprehensive smoking bans(OR=0.69,95%CI:0.59-0.81)was associated with less smoking behavior,while people perceiving tobacco promotional activities(OR=2.51,95%CI:2.00-3.17)were more likely to smoke.Additionally,people who perceived comprehensive smoking bans(OR=1.70,95%CI:1.25-2.31)and health warning(OR=2.09,95%CI:1.48-3.01)had higher intention to quit smoking.Conclusion In economically disadvantaged regions and among specific socially vulnerable groups(such as low-income individuals,rural residents,and the elderly)in China,the perception of tobacco control policy implementation is relatively low,the perception of tobacco control policies can influence smoking behavior and quitting intentions.Legislative and enforcement efforts should be increased targeting these groups with lower perceptions of the policies to enhance the fairness of tobacco control measures.

Objective To explore the chain-mediating effect of anxiety and maladaptive coping strategies on perceived social support and post-traumatic stress disorder(PTSD)in primary caregivers of children with acute leukemia.Methods Two hundred primary care-givers of children with acute leukemia treated in the Pediatric Hematology Department of Shengjing Hospital of China Medical University between September 2022 and April 2023 were selected.A general information questionnaire,Perceived Social Support Scale,Self-Rating Anxiety Scale,Trait Coping Style Questionnaire,and Post-Traumatic Stress Disorder Checklist-Civilian Version were used for the survey.Pearson's correlation analysis was performed to determine the relationships between anxiety,maladaptive coping,perceived social sup-port,and PTSD.The chain-mediating effect was determined by structural equation modeling using Analysis of Moment Structures software and the Bootstrap method.Results PTSD was negatively correlated with perceived social support(r=-0.179,P＜0.05)and positively correlated with anxiety and maladaptive coping(r=0.762,P＜0.01;r=0.423,P＜0.01).Anxiety and maladaptive coping had chain-me-diating roles in the relationship between perceived social support and PTSD.Conclusion Perceived social support can indirectly affect the PTSD level of a caregiver through the chain-mediating effect of anxiety and maladaptive coping strategies.In clinical practice,enhancing caregivers perception of social support can alleviate anxiety,promote positive coping strategies,reduce negative coping strate-gies,and effectively reduce the risk of developing PTSD.

Copy number variation encompassing SNP plays an important role in IVD and precision medi-cine.As the most commonly used method,FISH could not overcome the probe cross-reactivity which is common when to detect SNP.Here we developed a quantitative and qualitative method on copy number variation encompassing SNP.In this study,the rs76711854 was used as an example to establish a quanti-tative method by advantage of probe cross-reactivity.The fragment encompassing rs76711854 and its downstream to 9 514 bp were amplified by PCR.The allelic genotypes were verified by Sanger sequen-cing.Different probes with or without cross-reactivity to be used via quantitative real-time PCR and digit-al PCR.The different clusters(2D)and fluorescence intensity layers(1D)exist by adding probe with cross-reactivity.The A/G ratio measured by digital PCR is 2︰1,which is verified by probe targeting to the SNP.The copy-number variant exists in the 9kb-long fragment upstream to the SNP of prostate cancer cell line but not in human endometrial adenocarcinoma cell line Ishikawa.The data suggest that there is a multi-copy variation at this locus in DU145 cells.The method applied here is based on one single cross-reactivity probe via digital PCR.

This paper reviews the current application status of big language model in nursing, the needs for information technology development in critical care nursing, the current application status of and future development direction of big language model in critical care nursing, as well as the risks and challenges faced, with a view to providing a reference for promoting the application of big language model in critical care nursing.

P53 is a key tumor suppressor gene,which is regulated in many ways.Zinc finger 148(ZNF148)and SP5,as zinc finger transcription factors(TFs),play important roles in tumor suppression and carcinogenesis.The regulatory relationship between these two TFs and p53 has not been reported.In this paper,Ishikawa and A549 cell lines with different p53 expression levels were used as research mod-els to explore the transcriptional regulation of the P53 gene by ZNF148 and SP5.The data showed that there were differences in the expression of ZNF148 and SP5 in the two cell lines.The mRNA expression of ZNF148 in Ishikawa was 1.9 times higher than that of A549,and the mRNA expression of SP5 in A549 was 802.4 times that of ZNF148.Data showed that in Ishikawa cells,the expression of P53 de-creased(81.8％)after ZNF148 knockdown,and increased(2.6 times)after SP5 overexpression.Transfection of si-SP5 and ZNF148 expression plasmids into A549 cells increased the mRNA expression of P53 by 6.6 times and 14.6 times,respectively.These results indicate that ZNF148 could activate,whereas SP5 could inhibit,P53 expression.The conserved cis-element of ZNF148 and SP5 TFs was found in the region of the P53 promoter by bioinformatics methods.The data from dual luciferase reporter gene assay showed that the luciferase activity of ZNF148 in Ishikawa and A549 cells was increased by 2.1-fold and 4.2-fold compared with the control group(P＜0.05).Compared with the control group,the normalized relative luciferase activity of transfected SP5 decreased by 77.1％and 35.7％(P＜0.05).However,when the cis-element of ZNF148 and SP5 was mutated,the effect disappeared.Further trans-fection of ZNF148 and SP5 with different ratios revealed that SP5 could reverse the transcriptional activa-tion of P53 by ZNF148.Studies have shown that ZNF148 shares a common site with SP5,and the ratio of the two TFs may influence the transcriptional activity of P53.The expression of the Wnt pathway and the cell proliferation rate after knockdown of ZNF148 and SP5 were further studied to explore the role of the two TFs.Our data show that ZNF148 and SP5 could regulate the transcriptional activity of P53,and their expression levels and interaction may be the key factors regulating P53 expression.

AIM:To determine the concentration of ARV-471(a representative PROTAC drug)in mice plasma by establishing an HPLC-MS/MS method and to apply this method in pharmacokinetic studies in mice.METHODS:Verapamil was taken as the inter-nal standard,the mice plasma samples were extract-ed by methanol.After centrifugation,the superna-tant was analyzed by liquid chromatography-mass spectroscopy(LC-MS/MS).Chromatographic col-umn:ACQUITY UPLC HSS T3(1.8 μm,2.1 mm × 50 mm);The mobile phase consists of acetonitrile(containing 0.1％formic acid)and 2 mmol/L ammoni-um formate aqueous solution(containing 0.1％for-mic acid)for gradient elution;flow-rate of 0.6 mL/min;injection volume:2 μL.The electrospray ioniza-tion(ESI)is employed,operating in positive ion scan-ning mode with multiple reaction monitoring(MRM)detection.The specificity,standard curve and quanti-fication limit,precision and accuracy,recovery rate and matrix effect,stability and dilution reliability of this method were examined.Furthermore,the plas-ma concentration and pharmacokinetic parameters of ARV-471 in mice after intravenous injection of 5 mg/kg and oral gavage of 30 mg/kg were deter-mined and calculated.RESULTS:The results dem-onstrate that ARV-471 exhibits a good linear rela-tionship within the concentration range of 2.0 to 2 000.0 ng/mL.The intra-and inter-accuracy were between 80.0％and 120.0％,with the intra-and in-ter-precision less than 15％.The results of method-ological study of specificity,matrix effect,stability conformed to the requirements of the guideline.Pharmacokinetic parameters reveal that after oral administration of 30 mg/kg ARV-471 to male and fe-male mice,Cmax were(2 947.19±454.77)and(2 682.02±342.23)ng·mL-1;AUC0-twere(23 357.37±3 488.00)and(20 161.23±1 871.32)ng·h·mL-1;T1/2were(3.11±0.18)and(2.93±0.62)h.Tmax were(1.83±0.41)and(2.00±0.00)h for male and fe-male mice,respectively.After intravenous adminis-tration of 5 mg/kg ARV-471 to male and female mice,the AUC0-t values were found to be(18 219.07±2 059.41)and(17 238.01±2 380.55)ng·h·mL-1;T1/2 values were(2.76±0.23)and(2.73±0.20)h;The absolute bio-availability of ARV-471 were deter-mined to be(19.49±1.81)％and(21.37±3.19)％for male and female mice,respectively.CONCLU-SION:This study establishes a rapid and effective method for the pharmacokinetic research of ARV-471,laying the foundation for the pharmacokinetic studies of PROTAC drugs.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.