Dengue fever is an arboviral infectious disease caused by the dengue virus(DENV),primarily transmitted by Aedes aegypti and Aedes albopictus mosquitoes.In recent years,due to factors such as climate change,accelerated urbanization and frequent international travel,this has led to a significant increase in new cases and mortality rates.The early symptoms of dengue fever lack specificity,which leads to be difficult for early diagnosis.At present,there is no specific anti-DENV drug,and in clinical practice,the supportive therapy is the main approach.This article reviews the latest epidemiological situation,biomarker screening,antiviral drug study and development,and prevention and control strategies for dengue fever.It emphasizes the impor-tance of identifying the effective biomarkers and accelerating the study and development of antiviral drugs in order to provide the scientific evidence and technical support for more effective prevention and control meas-ures to address the public health challenges posed by dengue fever.

Objective:To investigate the effect of olanzapine (OLZ) on the differentially-expressed circRNAs in prefrontal cortex of schizophrenia mouse models and predict the target genes.Methods:SPF grade C57BL/6 mice, 7~8 weeks-old, 20 male mice and 45 female mice were recruited and breeded offspring.Forty-four double-stimulation induced schizophrenia-like mouse models, the offspring mice exposed to dual stress were divided into the schizophrenia group(SZ group, n=23) and the olanzapine intervention group (SZ+ OLZ group, n=21), while the mice raised under normal conditions served as the control group (NC group, n=22). Whole transcriptome sequencing was used to sequence the expression level of RNAs from the prefrontal cortex of the mice. RT-qPCR was applied to verify the differentially-expressed circRNAs, then the target genes of miRNAs which have binding site to verified circRNAs were predicted. Results:RNA-seq results showed that there were 137 differentially-expressed circRNAs compared with NC group, 62 were significantly high-expressed and 75 were low-expressed. circRNA_06886 showed significant low-expressed in SZ group compared with NC group( Z=-3.259, P<0.01), and significant high-expressed in SZ+ OLZ group compared with SZ group( Z=-4.765, P<0.01). Bioinformatics analysis of miRNA target genes showed that the target genes were involved in the pathways related to neural pathways such as dopamine, glutamate and MAPK signaling pathways. Conclusions:There are differentially expressed circRNAs in the prefrontal cortex of schizophrenia mouse models, and circRNA_06886 is low-expressed in the prefrontal cortex of schizophrenia mice, Camk2b-201 and Plcb1-003 are the potential genes of circRNA_06886 involved in the regulation of schizophrenia pathogenesis by dopamine pathway.

Objective:To investigate the effect of olanzapine (OLZ) on the differentially-expressed circRNAs in prefrontal cortex of schizophrenia mouse models and predict the target genes.Methods:SPF grade C57BL/6 mice, 7~8 weeks-old, 20 male mice and 45 female mice were recruited and breeded offspring.Forty-four double-stimulation induced schizophrenia-like mouse models, the offspring mice exposed to dual stress were divided into the schizophrenia group(SZ group, n=23) and the olanzapine intervention group (SZ+ OLZ group, n=21), while the mice raised under normal conditions served as the control group (NC group, n=22). Whole transcriptome sequencing was used to sequence the expression level of RNAs from the prefrontal cortex of the mice. RT-qPCR was applied to verify the differentially-expressed circRNAs, then the target genes of miRNAs which have binding site to verified circRNAs were predicted. Results:RNA-seq results showed that there were 137 differentially-expressed circRNAs compared with NC group, 62 were significantly high-expressed and 75 were low-expressed. circRNA_06886 showed significant low-expressed in SZ group compared with NC group( Z=-3.259, P<0.01), and significant high-expressed in SZ+ OLZ group compared with SZ group( Z=-4.765, P<0.01). Bioinformatics analysis of miRNA target genes showed that the target genes were involved in the pathways related to neural pathways such as dopamine, glutamate and MAPK signaling pathways. Conclusions:There are differentially expressed circRNAs in the prefrontal cortex of schizophrenia mouse models, and circRNA_06886 is low-expressed in the prefrontal cortex of schizophrenia mice, Camk2b-201 and Plcb1-003 are the potential genes of circRNA_06886 involved in the regulation of schizophrenia pathogenesis by dopamine pathway.

Objective:To evaluate the effect of hyperthermia on radiation pneumonitis (RP) in elderly patients with esophageal cancer undergoing intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 177 elderly esophageal cancer patients (aged ≥60 years) receiving IMRT in the First Affiliated Hospital of Soochow University and Yixing Cancer Hospital from August 1, 2017 to February 6, 2023 were retrospectively analyzed. Patients were divided into the hyperthermia and non-hyperthermia groups based on whether they received hyperthermia treatment. Patients in two groups received IMRT with 6 MV X-rays. Patients in the hyperthermia group underwent high-frequency hyperthermia within 1 h before radiation using the external thermotherapy device HG-2000Ⅲ (heating temperature: 41-43 ℃ for 40 min, twice a week). After adjusting for confounding factors between two groups using propensity score matching (PSM), the short-term effective rates between two groups were compared using Chi-square test. Univariate analysis and logistic multivariate analysis were employed to compare the incidence of RP between two groups. Results:After applying PSM, 42 pairs were successfully matched, and the baseline data and radiotherapy parameters showed no statistically significant differences between two groups (all P>0.05). The objective response rate (ORR) in the hyperthermia group was significantly higher than that in the non-hyperthermia group (83.3% vs. 64.3%, P=0.047). Univariate analysis revealed that the incidence of RP and symptomatic RP (≥ grade 2) in the hyperthermia group was significantly lower than that in the non-hyperthermia group (61.9% vs. 85.7%, P=0.013; 21.4% vs. 47.6%, P=0.012). Logistic multivariate analysis indicated that hyperthermia was an independent protective factor for symptomatic RP ( P=0.011). Conclusions:The incidence and severity of RP in elderly esophageal cancer patients receiving IMRT can be reduced by hyperthermia. Hyperthermia, as a clinically beneficial green treatment, improves efficacy and reduces toxicity for patients with esophageal cancer.

Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.

Objective To investigate the correlations between acceptance of disability,coping style and depression level in patients with hemiplegia after stroke.Methods A total of 96 patients with hemiplegia after stroke were selected from No.904 Hospital of Joint Logistic Support Force of PLA from May 2019 to June 2022.Acceptance of disability scale-revised(ADS-R),medical coping modes questionnaire(MCMQ)and self-rating depression scale(SDS)were used to investigate disability acceptance,coping style and depression degree in these patients,respectively.Pearson correlation analysis was used to analyze their correlations.Results There were significant differences in ADS-R scores among patients with different numbers of organs with dysfunction,numbness of limbs,ages,and occupations(P<0.05).There were 29 patients with low acceptance of disability,52 patients with moderate acceptance,and 15 patients with high acceptance.The scores of yielding coping,avoidance coping,and SDS in patients with high acceptance of disability were significantly lower than those in patients with low and moderate acceptance of disability(P<0.05),and the scores of yielding coping,avoidance coping,and SDS in patients with moderate acceptance of disability were significantly lower than those in patients with low acceptance(P<0.05).The patients with high acceptance of disability had significantly higher scores of face coping than those with low acceptance and moderate acceptance(P<0.05),and the patients with moderate acceptance had significantly higher scores of face coping than those with low acceptance(P<0.05).Pearson correlation analysis showed that ADS-R score was negatively correlated with yielding coping score,avoidance coping score,and SDS score(P<0.05),while ADS-R score was positively correlated with face coping score(P<0.05).Yielding coping score and avoidance coping score were positively correlated with SDS score(P<0.05),and face coping score was negatively correlated with SDS score(P<0.05).Conclusion The higher the ADS-R score of hemiplegia patients after stroke,the lower the yielding coping score,avoidance coping score and SDS score,and the higher the face coping score.Clinical intervention should be taken to increase ADS-R score and improve patients'coping style and depression degree.

Objective:To design a lung function prediction method that combines transfer learning and multimodal feature fusion, aiming to improve the accuracy of lung function prediction in patients with idiopathic pulmonary fibrosis (IPF).Methods:CT images and clinical text data were reprocessed, and an adaptive module was designed to find the most suitable lung function attenuation function for IPF patients. The feature extraction module was utilized to comprehensively extract features. The feature extraction module comprises three sub-modules, including CT feature extraction, clinical text feature extraction, and lung function feature extraction. A multimodal feature prediction network was used to comprehensively evaluate the attenuation of lung function. The pre-trained model was fine-tuned to improve the predictive performance of the model.Results:Based on the OSIC pulmonary fibrosis progression competition dataset, it is found through the adaptive module that the linear attenuation hypothesis is more in line with the trend of pulmonary function decline in patients. Different modal data prediction experiments show that the model incorporating clinical text features has better predictive ability than the model using only CT images. The model combining CT images, clinical text features, and lung function features have optimal predictive results. The lung function prediction method combining transfer learning and multimodal feature fusion has modified version of the Laplace log likelihood (LLLm) of ?6.706 5, root mean squared error (RMSE) of 184.5, and mean absolute error (MAE) of 146.2, which outperforms other methods in terms of performance. The pre-trained model has higher prediction accuracy compared to the zero base training model.Conclusions:The lung function prediction method designed by combining transfer learning and multimodal feature fusion can effectively predict the lung function status of IPF patients at different weeks, providing important support for patient health management and disease diagnosis.

Objective:To investigate the clinical features and laboratory examination results of complete Kawasaki disease (CKD) versus incomplete Kawasaki disease (IKD). Methods:The clinical data of children with complete Kawasaki disease (CKD group, n = 217) and incomplete Kawasaki disease (IKD group, n = 103) who received treatment in Gansu Provincial Maternity and Child-care Hospital from January 2014 to December 2018 were retrospectively analyzed. Clinical symptom features and laboratory examination indexes were compared between the two groups. Results:The incidence of fever in both groups was 100.0%, but the fever time in the IKD group was (8.97 ± 1.76) days, which was significantly longer than (6.60 ± 1.01) days in the CKD group ( t = 7.68, P < 0.05). The incidences of conjunctival hyperemia, chapped lips, bayberry tongue and finger sclerosis and erythema in the IKD group were 82.5% (84/103), 66.9% (69/103), 21.4% (22/103), and 23.3% (24/103), which were significantly lower than 94.9% (206/217), 76.9% (167/217), 75.1% (163/217), and 81.1% (176/217) in the CKD group ( χ2 = 14.71, 7.09, 82.76, 99.58, all P < 0.05). The incidences of polymorphic rash and perianal peeling in the IKD group were 76.7% (79/103) and 33.9% (35/103), respectively, which were significantly higher than 64.9% (141/217) and 23.5% (51/217) in the CKD group ( χ2 = 4.47, 3.90, both P < 0.05). Digestive and respiratory symptoms were more common in the IKD group than in the CKD group ( P < 0.05). C-reactive protein level in the IKD group was (67.56 ± 23.35) mg/L, which was significantly higher than (53.91 ± 25.06) mg/L in the CKD group ( t = 2.46, P < 0.05), while white blood cell count, platelet count, and B-type brain natriuretic peptide level in the IKD group were significantly lower than those in the CKD group ( t = 2.00, 2.34, 4.69, all P < 0.05). The incidences of coronary artery dilation/small coronary artery aneurysm, and pericardial effusion in the IKD group were greater than those in the CKD group ( χ2 = 6.70, 12.87, both P < 0.05). Conclusion:Children with IKD have a long time of fever. In children without obvious clinical features, attention should be paid to the differential diagnosis of IKD from CKD. IKD should be diagnosed and treated as early as possible to decrease the incidence of coronary artery disease.

Objective:To investigate the correlation between the prognosis of late-onset depression(LOD)in the elderly and lncRNA expression levels and coping styles.Methods:Differential expression of lncRNAs in peripheral blood of LOD 92 patients was detected by a real-time quantitative PCR(qPCR)detection system, and the Hamilton Depression Scale(HAMD)and the Trait Coping Style Questionnaire(TCSQ)were used for psychological assessment.Results:Compared with the control group, the expression levels of TCONS_00019174(7.55 vs.4.36), ENST00000566208(6.48 vs.3.26), ENST00000517573(8.33 vs.5.32)and NONHSAT142707(6.78 vs.3.26)in elderly patients of the LOD group were significantly down-regulated( Z=5.09, 5.87, 4.35, 6.44, P<0.05); Compared with the low-expression subgroup, scores of anxiety/somatization[(3.83±1.40) vs.(6.39±2.35)], diurnal variation[(0.22±0.42) vs.(0.83±0.94)], retardation[(5.74±0.96) vs.(6.48±1.28)], hopelessness[(2.78±0.67) vs.(4.52±1.56)]and HAMD[(20.39±1.75) vs.(26.83±4.88)]in the high-expression subgroup were significantly lower( t=-4.50, -2.84, -2.22, -4.90, -5.96, P<0.05). The ΔCT value of TCONS_00019174 was negatively correlated with the reduction rates of anxiety/somatization, diurnal variation, retardation, sleep disturbance, hopelessness and HAMD( r=-0.40-0.66, P<0.05). The ΔCT value of ENST00000566208 was negatively correlated with the reduction rates of anxiety/somatization, sleep disturbance, hopelessness and HAMD( r=-0.47-0.62, P<0.01). The ΔCT values of ENST00000517573, NONHSAT034045 and NONHSAT142707 were negatively correlated with the reduction rates of retardation, sleep disturbance, hopelessness and HAMD( r=-0.39-0.76, P<0.05). The positive coping style was positively correlated with the reduction rates of HAMD, anxiety/somatization, retardation, sleep disturbance and hopelessness( r=0.38-0.55), while the negative coping style was negatively correlated with the reduction rates of HAMD, anxiety/somatization, sleep disturbance and hopelessness( r=-0.39-0.67, P<0.05). When TCONS_00019174, ENST00000566208, NONHSAT034045, NONHSAT142707, positive coping and negative coping were taken into the regression equation as variables for HAMD reduction, it was found that they were able to explain 32.4% of the variance for the reduction rate of the total HAMD score( t=-8.713, -3.584, -3.864, -2.257, 5.675, -2.357, P<0.05). Conclusions:TCONS_00019174, ENST00000566208, NONHSAT034045, NONHSAT142707, positive coping style and negative coping style are predictors of the prognosis of LOD in the elderly.

Objective:To analyze the prognostic factors affecting salvage liver transplantation (SLT).Methods:The clinical data of 97 patients undergoing liver transplantation in the Ningbo Medical Centre Lihuili Hospital from January 2012 to May 2022 were retrospectively analyzed, including 84 males and 13 females, aged (53.6±7.4) years. Among them, 33 patients underwent primary liver transplantation (PLT) and 64 underwent SLT. SLT patients were subdivided into the groups within the Milan criteria (SLT-A, n=35) and beyond the Milan criteria (SLT-B, n=29), according to whether the Milan criteria were met at first hepatectomy. Clinicopathological and prognostic data were subsequently analyzed. Results:The tumor number ( χ2=16.03, P<0.001), microvascular invasion (MVI) ( χ2=10.97, P=0.004), recurrence rate ( χ2=9.31, P=0.010), recurrence-free survival (RFS, F=14.05, P=0.001) and overall survival (OS, F=17.27, P<0.001) were significantly different among the three groups. RFS ( P=0.047) and OS ( P=0.012) in PLT group were better than those in SLT-B group. RFS ( P=0.007) and OS ( P=0.024) in SLT-A group were also better than those in SLT-B group. The multivariate analysis indicated that beyond the Milan criteria at first hepatectomy was an independent risk factor for RFS ( HR=4.378, 95% CI: 1.393-13.756, P=0.011) and OS ( HR=5.391, 95% CI: 1.428-20.352, P=0.013) in patients undergoing SLT, and MVI positive ( HR=4.042, 95% CI: 1.137-14.368, P=0.031) was an independent risk factor for RFS in patients undergoing SLT. Conclusion:Patients beyond the Milan criteria at first hepatectomy and MVI positive showed a poorer prognosis after SLT. Whether the Milan criteria should be the gold standard for SLT as well as for PLT needs further study.