BackgroundGenetic factor plays an important role in the pathogenesis of panic disorder. Previous studies have revealed that immune system dysregulation is closely related to mental disorders such as panic disorder， while the relationship between panic disorder and immune-related gene expression remains unclear. ObjectiveTo explore the relationship between the expression of CXCL8， IL6R， JUN， PTGS2， TGFBR1， TLR2， CCR4 genes and panic disorder， providing references for the diagnosis and treatment of panic disorder. MethodsA total of 52 patients who met the diagnostic criteria for panic disorder according to the Diagnosed and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） were enrolled at the Psychosomatic Medicine Center of Sichuan Provincial People's Hospital from January 2020 to March 2021. Another 72 healthy individuals matched for age and gender from Chengdu were concurrently recruited as control group. The Panic Disorder Severity Scale （PDSS） was used to assess the severity of symptoms in panic disorder patients. Quantitative real-time polymerase chain reaction （PCR） was used to detect gene expression levels in two groups. Spearman correlation analysis was adopted to determine the correlation between PDSS score and immune-related gene expression in research group. ResultsThe expression of the JUN， PTGS2 and TGFBR1 genes were significant higher in panic disorder patients than those in control group （Z=-4.172， -2.086， -3.018， P<0.05 or 0.01）. After false discovery rate （FDR） correction for multiple testing， the differential expression of JUN and TGFBR1 genes remained statistically significant between two groups （P<0.05）. There was no significant difference in the expression of CCR4， CXCL8， IL6R and TLR2 genes between two groups （P>0.05）. Correlation analysis revealed that the expression of the JUN gene in panic disorder patients was positively correlated with PDSS score （r=0.360， P<0.01）， while the CCR4， CXCL8， IL6R， PTGS2， TGFBR1 and TLR2 genes showed no statistically significant correlation with the PDSS score （P>0.05）. ConclusionThe expression of the JUN and TGFBR1 genes may be associated with panic disorder， and the expression of the JUN gene correlated with the severity of panic disorder. ［Funded by Science and Technology Plan Project of Sichuan Provincial Department of Science and Technology （number， 2021YJ0440）］

Objective:To construct and validate a predictive model for the occurrence of malignant cerebral edema(MCE)in the elderly with acute large hemispheric infarction(LHI)of the anterior cerebral artery.Methods:Clinical, laboratory and imaging data of 301 elderly patients with acute LHI of the anterior cerebral artery admitted to the Department of Neurology of the Third Affiliated Hospital of Soochow University between January 2018 and April 2023 were retrospectively analyzed.Patients were divided into a modeling group(211 cases)and a validation group(90 cases)by the simple random sampling method with a ratio of 7∶3.According to the occurrence of MCE, univariate and multivariate Logistic regression analyses were performed with data from the modeling group to screen for independent predictors of the development of MCE.Nomograms were created and internally validated using R software.Additionally, external validation was performed with data from the validation group, and the performance of the model was assessed by receiver operating characteristic(ROC)curves, calibration plots, and clinical decision curve analysis(DCA), respectively.Results:The MCE incidence and baseline data between the modeling and validation groups were not statistically significantly different and were actually comparable.Multivariate Logistic analysis in the modeling group showed that a history of atrial fibrillation( OR=3.459, 95% CI: 1.202-9.955, P=0.021), Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score( OR=1.202, 95% CI: 1.052-1.373, P=0.007), National Institutes of Health Stroke Scale(NIHSS)score( OR=1.163, 95% CI: 1.039-1.3013, P=0.008), Alberta Stroke Program Early CT Score(ASPECTS)( OR=0.782, 95% CI: 0.639-0.958, P=0.018), and collateral score(CS)( OR=0.414, 95% CI: 0.221-0.777, P=0.006)were independent predictors of the occurrence of MCE in the elderly patients with LHI.Based on the nomogram model constructed using the independent predictors, the ROC value for the risk of developing MCE was 0.912(95% CI: 0.867-0.957)in the modeling group and 0.957(95% CI: 0.902-0.997)in the validation group.The predicted probabilities from the nomograms in the modeling and validation groups were close to the actual probabilities, indicating good calibration.The DCA curves in the validation group showed that the predictive model had good clinical utility. Conclusions:The nomogram model established in this study exhibits good discrimination and calibration for the prediction of MCE, and has some predictive value.