Objective To investigate the changes in the density of Aedes albopictus across different regions and different breeding habitats in Baoshan District, Shanghai Municipality from 2018 to 2024, so as to inform evidence-based control strategies for mosquito-borne infectious diseases in Shanghai Municipality. Methods Ae. albopictus surveillance sites were deployed in 12 subdistricts (towns) of Baoshan District, Shanghai Municipality from 2018 to 2024, and the surveillance on the density of Ae. albopictus was performed in each surveillance site once weekly during the peak activity period of Aedes mosquitoes from May to October each year from 2018 to 2024. Mosquito ovitraps were deployed in various breeding habitats in each surveillance site according to geographical locations, including residential areas, schools, government institutions, hospitals, recycling stations, and construction sites, and regularly collected, and the mosquito ovitrap index (MOI) was calculated. The changes in the Ae. albopictus density were analyzed based on MOI across years, regions, and breeding habitats. Additionally, from May to October each year between 2018 and 2024, monthly risk assessments of Aedes albopictus density were conducted in every subdistrict (town) of Baoshan District, Shanghai. Results The annual mean MOI values of Ae. albopictus were 5.88 ± 2.29, 8.19 ± 4.46, 7.43 ± 3.40, 5.44 ± 2.52, 3.97 ± 2.72, 3.82 ± 1.57, and 2.56 ± 1.11 in Baoshan District from 2018 to 2024, respectively (F = 75.886, P < 0.05), and the MOI appeared a rise followed by a reduction each year and peaked during the period between June and August. There was a significant difference in the 7-year mean MOI of Ae. albopictus across the 12 subdistricts/towns (F = 26.558, P < 0.05), and there were 6 subdistricts/towns with a 7-year mean MOI of over 5, including Songnan Town (8.44 ± 4.68), Dachang Town (7.71 ± 5.28), Gucun Town (7.13 ± 3.57), Yuepu Town (5.74 ± 1.69), Gaojing Town (5.51 ± 3.44), and Wusong Subdistrict (5.41 ± 2.04). There was a significant difference in the MOI of Ae. albopictus across breeding habitats (F = 3.843, P < 0.05), with the highest MOI seen in recycling stations (9.86 ± 4.61), which was significantly higher than in other habitats (P < 0.05), and the lowest seen in construction sites (4.90 ± 2.95), which was significantly lower than in other habitats (P < 0.05). The proportion of frequency with Ae. albopictus density transmission risk decreased from 54.17% in 2018 to 11.11% in 2024 in all subdistricts (towns) of Baoshan District, and the frequency of outbreak risks peaked in 2019 (18 instances) and declined substantially in 2021 (6 instances), with no records of outbreak or transmission risk documented across the district in 2024. Conclusions There were substantial seasonal variations in the Ae. albopictus density in Baoshan District, Shanghai Municipality from 2018 to 2024. The Ae. albopictus density peaked during the period between June and August in Baoshan District each year from 2018 to 2024, with a relatively higher density in Songnan Town and Dachang Town, and in recycling stations. Precision control measures and intensified seasonal interventions are recommended in high-risk settings in Baoshan District to reduce the transmission risk of Aedes-borne infectious diseases.

Objective To understand the application effect of early screening scale and behavioral intervention effect in children with autism spectrum disorder (ASD). Methods A total of 348 children with suspected ASD were selected and evaluated using the Modified Checklist for Autism in Toddlers (M-CHAT) and Autism Behavior Checklist (ABC). The evaluation results were compared with those from the Diagnostic and Statistical Manual of Mental Disorders (DSM-V). Children enrolled were given Early start Denver model (ESDM) intervention. The evaluation results of Gesell Developmental Scale and Autism Treatment Evaluation Checklist (ATEC) scores were compared before and after intervention. Results The sensitivity, specificity, accuracy and Kappa value of M-CHAT for evaluating ASD in children aged 1-3 years were 89.53%, 90.70%, 89.92% and 0.78. The corresponding values of ABC were 78.49%, 81.40%, 79.46% and 0.56. The sensitivity, specificity, accuracy and Kappa value of M-CHAT for evaluating children aged >3-6 years were 87.30%, 77.78%, 84.44% and 0.64. The corresponding values of ABC were 85.71%, 77.78%, 83.33% and 0.62. The sensitivity and accuracy of M-CHAT were higher than ABC for evaluating ASD in children aged 1-3 years (P<0.05). There were no significant differences in sensitivity, specificity and accuracy between M-CHAT and ABC for evaluating ASD in children aged 3-6 years (P>0.05). After intervention, development quotients (DQ) of personal-social aspects, adaptability, language, gross motor, and fine motor of children with ASD were higher than those before intervention (P<0.05). ATEC scores for language, behavior, sensation, and social contact of children with ASD were lower than those before intervention (P<0.05). Conclusion M-CHAT and ABC both can be used for early screening of ASD in children, especially M-CHAT. Early behavioral intervention can effectively improve the condition and developmental level of children with ASD.

Objective:To analyze the correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population.Methods:It was a cross-sectional analysis that employed a simple random sampling method to select 3 496 individuals who underwent healthy physical examinations and cerebrovascular function tests at the Physical Examination Center of the Affiliated Hospital of Guizhou Medical University from January to December 2022. The general information, physical examination data, biochemical examination results, human component analyses, and cerebrovascular function integral data were collected. Based on cerebrovascular function scores, the participants were divided into high-risk group (0-24 points, 70 cases), medium-risk group (25-49 points, 317 cases), low-risk group (50-74 points, 787 cases), and normal group (≥75 points, 2 322 cases). Spearman correlation analysis and receiver operating characteristic (ROC) curve analyses were utilized to assess the correlation and predictive value of obesity measurement indicators and cerebrovascular function integrals.Results:Among the 3 496 subjects included in the analysis, 2 018 were male and 1 478 were female, with an average age of (46.4±7.9) years. The age, systolic blood pressure, diastolic blood pressure, body mass index, waist-to-hip ratio, body fat ratio, body fat content, visceral fat area, fasting blood glucose, total cholesterol, low-density lipoprotein, homocysteine all exhibited an increasing trend as the cerebrovascular function integral value decreased (all P<0.05). The skeletal muscle content in the low-risk group was significantly higher than those in the high-risk group, medium-risk group, and normal group [45.00 (36.80, 50.60) vs 44.10 (36.98, 50.45), 44.50 (37.80, 50.20), and 42.75 (36.30, 48.60) kg, respectively] ( P<0.05). The triglyceride level in the medium-risk group was higher when compared to those in the high-risk group, low-risk group, and normal group[1.87 (1.29, 2.70) vs 1.71 (1.24, 2.80), 1.75 (1.18, 2.70), and 1.43 (1.00, 2.14) mmol/L] ( P<0.05). The high-density lipoprotein level in the normal group was higher than the high-risk group, medium-risk group, and low-risk group[1.26 (1.05, 1.51) vs 1.16 (0.94, 1.36), 1.15 (0.99, 1.39), and 1.16 (0.97, 1.39) mmol/L, respectively] ( P<0.05). The increases in systolic blood pressure, diastolic blood pressure, body mass index, and body fat content were all moderately negatively correlated with the cerebrovascular function score ( rs=-0.347, -0.335, -0.370, and -0.340, respectively, all P<0.05). The increase in age ( OR=1.012, 95% CI: 1.002-1.022), systolic blood pressure ( OR=1.027, 95% CI: 1.017-1.036), diastolic blood pressure ( OR=1.028, 95% CI: 1.014-1.042), body mass index ( OR=1.157, 95% CI: 1.083-1.237), body fat rate ( OR=1.021, 95% CI: 1.007-1.035), and fasting blood glucose ( OR=1.072, 95% CI: 1.020-1.127) were all positively correlated with the decrease of the cerebrovascular function score; conversely, the increase in skeletal muscle content ( OR=0.967, 95% CI: 0.951-0.982) was negatively correlated with the decrease in cerebrovascular function score (all P<0.05). The area under the curve for the combined prediction of cerebrovascular function integral value by age, systolic blood pressure, diastolic blood pressure, body mass index, body fat rate, skeletal muscle content, and fasting blood glucose was 0.754. Conclusions:As the body mass index and body fat content increase and the skeletal muscle content decreases in the healthy physical examination population, the likelihood of abnormal cerebrovascular function integral values rises; the combination of age, systolic blood pressure, diastolic blood pressure, body mass index, body fat percentage, skeletal muscle content, and fasting blood glucose indicators can predict the increased risk of cerebrovascular function integral values.

Objective:To evaluate the diagnostic value of micro flow imaging (MFI) supported by Image Pro Plus (IPP) software for BI-RADS classification of breast nodules and the correlation between its parameters and Ki-67 expression level.Methods:A total of 205 cases of breast solid nodules with ultrasound BI-RADS classification of 4 categories were enrolled in this study. BI-RADS classification, CDFI score, MFI score, CDFI-IPP score and MFI-IPP score by IPP software were performed for each nodule. Ki-67 immunohistochemical staining of invasive ductal carcinoma was performed to analyze the correlation between MFI-IPP-VI and Ki-67 expression levels.Results:The combined BI-RADS classification for diagnosis of malignant nodules had the largest area under the ROC curve, which was significantly higher than that of BI-RADS, MFI-IPP-VI, MFI score, CDFI-IPP-VI, and CDFI score (all P<0.05). The combined BI-RADS classification had the best diagnostic efficacy for the diagnosis of malignant nodules with a sensitivity of 96.4%, specificity of 65.6% and accuracy of 82.4%. In addition, the agreement between experienced and inexperienced sonographers applying MFI-IPP-VI was higher than MFI (Kappa=0.780 vs. Kappa=0.743). The mean value of Ki-67 in invasive ductal carcinoma was 21.93%±16.37%, and Spearman's correlation analysis showed a positive correlation between MFI-IPP-VI and Ki-67 expression level ( r=0.815, P<0.05). Conclusions:MFI-IPP can assist sonographers to classify breast nodules by BI-RADS, providing an effective basis for puncture biopsy. MFI-IPP-VI offers the possibility of noninvasively predicting the expression level of Ki-67 in invasive ductal carcinoma.

Objective:To analyze the correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population.Methods:It was a cross-sectional analysis that employed a simple random sampling method to select 3 496 individuals who underwent healthy physical examinations and cerebrovascular function tests at the Physical Examination Center of the Affiliated Hospital of Guizhou Medical University from January to December 2022. The general information, physical examination data, biochemical examination results, human component analyses, and cerebrovascular function integral data were collected. Based on cerebrovascular function scores, the participants were divided into high-risk group (0-24 points, 70 cases), medium-risk group (25-49 points, 317 cases), low-risk group (50-74 points, 787 cases), and normal group (≥75 points, 2 322 cases). Spearman correlation analysis and receiver operating characteristic (ROC) curve analyses were utilized to assess the correlation and predictive value of obesity measurement indicators and cerebrovascular function integrals.Results:Among the 3 496 subjects included in the analysis, 2 018 were male and 1 478 were female, with an average age of (46.4±7.9) years. The age, systolic blood pressure, diastolic blood pressure, body mass index, waist-to-hip ratio, body fat ratio, body fat content, visceral fat area, fasting blood glucose, total cholesterol, low-density lipoprotein, homocysteine all exhibited an increasing trend as the cerebrovascular function integral value decreased (all P<0.05). The skeletal muscle content in the low-risk group was significantly higher than those in the high-risk group, medium-risk group, and normal group [45.00 (36.80, 50.60) vs 44.10 (36.98, 50.45), 44.50 (37.80, 50.20), and 42.75 (36.30, 48.60) kg, respectively] ( P<0.05). The triglyceride level in the medium-risk group was higher when compared to those in the high-risk group, low-risk group, and normal group[1.87 (1.29, 2.70) vs 1.71 (1.24, 2.80), 1.75 (1.18, 2.70), and 1.43 (1.00, 2.14) mmol/L] ( P<0.05). The high-density lipoprotein level in the normal group was higher than the high-risk group, medium-risk group, and low-risk group[1.26 (1.05, 1.51) vs 1.16 (0.94, 1.36), 1.15 (0.99, 1.39), and 1.16 (0.97, 1.39) mmol/L, respectively] ( P<0.05). The increases in systolic blood pressure, diastolic blood pressure, body mass index, and body fat content were all moderately negatively correlated with the cerebrovascular function score ( rs=-0.347, -0.335, -0.370, and -0.340, respectively, all P<0.05). The increase in age ( OR=1.012, 95% CI: 1.002-1.022), systolic blood pressure ( OR=1.027, 95% CI: 1.017-1.036), diastolic blood pressure ( OR=1.028, 95% CI: 1.014-1.042), body mass index ( OR=1.157, 95% CI: 1.083-1.237), body fat rate ( OR=1.021, 95% CI: 1.007-1.035), and fasting blood glucose ( OR=1.072, 95% CI: 1.020-1.127) were all positively correlated with the decrease of the cerebrovascular function score; conversely, the increase in skeletal muscle content ( OR=0.967, 95% CI: 0.951-0.982) was negatively correlated with the decrease in cerebrovascular function score (all P<0.05). The area under the curve for the combined prediction of cerebrovascular function integral value by age, systolic blood pressure, diastolic blood pressure, body mass index, body fat rate, skeletal muscle content, and fasting blood glucose was 0.754. Conclusions:As the body mass index and body fat content increase and the skeletal muscle content decreases in the healthy physical examination population, the likelihood of abnormal cerebrovascular function integral values rises; the combination of age, systolic blood pressure, diastolic blood pressure, body mass index, body fat percentage, skeletal muscle content, and fasting blood glucose indicators can predict the increased risk of cerebrovascular function integral values.

Objective:To evaluate the diagnostic value of micro flow imaging (MFI) supported by Image Pro Plus (IPP) software for BI-RADS classification of breast nodules and the correlation between its parameters and Ki-67 expression level.Methods:A total of 205 cases of breast solid nodules with ultrasound BI-RADS classification of 4 categories were enrolled in this study. BI-RADS classification, CDFI score, MFI score, CDFI-IPP score and MFI-IPP score by IPP software were performed for each nodule. Ki-67 immunohistochemical staining of invasive ductal carcinoma was performed to analyze the correlation between MFI-IPP-VI and Ki-67 expression levels.Results:The combined BI-RADS classification for diagnosis of malignant nodules had the largest area under the ROC curve, which was significantly higher than that of BI-RADS, MFI-IPP-VI, MFI score, CDFI-IPP-VI, and CDFI score (all P<0.05). The combined BI-RADS classification had the best diagnostic efficacy for the diagnosis of malignant nodules with a sensitivity of 96.4%, specificity of 65.6% and accuracy of 82.4%. In addition, the agreement between experienced and inexperienced sonographers applying MFI-IPP-VI was higher than MFI (Kappa=0.780 vs. Kappa=0.743). The mean value of Ki-67 in invasive ductal carcinoma was 21.93%±16.37%, and Spearman's correlation analysis showed a positive correlation between MFI-IPP-VI and Ki-67 expression level ( r=0.815, P<0.05). Conclusions:MFI-IPP can assist sonographers to classify breast nodules by BI-RADS, providing an effective basis for puncture biopsy. MFI-IPP-VI offers the possibility of noninvasively predicting the expression level of Ki-67 in invasive ductal carcinoma.

Objective:To analyze the characteristics of patients with chronic rhinosinusitis (CRS) in the South China region based on pathological tissue biomarkers for regional comparison.Methods:The study population consisted of CRS in-patients in the First Affiliated Hospital of Sun Yat-sen University from October 2019 to June 2022. Among all the 181 cases, 123 of them were male and 58 were female, with an average age of 40. Retrospectively collected clinical data included demographic information, preoperative symptom scores, preoperative endoscopic images, preoperative paranasal sinus computed tomography scanning images, and inflammatory serological features. In addition, 52 variables of pathological tissue biomarkers including cytokines, chemokines and remodeling factors were collected for analysis. Cluster analysis was performed on the integrated data of training set through centroid-based clustering algorithm, and the inflammatory characteristics, post-operation control status, and airway diseases comorbidity of each endotype were analyzed. R project (version 4.2.2) was used in statistical analysis.Results:Cluster analysis divided 181 patients with CRS into 4 endotypes. Cluster 1 ( n=101, 55.80%) showed a locally low inflammatory status. Cluster 2 ( n=23, 12.71%) showed a mixed type of inflammation with predominantly neutrophilic inflammation and tissue remodeling. Cluster 3 ( n=11, 6.08%) was characterized by type Ⅱ inflammation without tissue remodeling. Cluster 4 ( n=46, 25.41%) was mainly characterized by type Ⅱ inflammation with tissue remodeling, showing higher comorbidity rate of asthma and allergic rhinitis. This cluster presented more severe symptoms, significant olfactory dysfunction, extensive overall inflammation based on objective examination results, a notable increase in total eosinophil count and proportion in peripheral blood, and the highest uncontrolled rate observed one year post-surgery. In comparison to other regions, the endotype classification of CRS in Southern China was characterized by a predominant pattern of locally low inflammatory status, a moderate level of type Ⅱ inflammation with tissue remodeling, and a lesser presence of neutrophilic inflammation. Conclusion:CRS distribution in Southern China is mainly characterized by low inflammatory endotype and type Ⅱ inflammation with tissue remodeling. The latter shows more severe clinical manifestations and higher uncontrol rate after surgery.

Objective To investigate the difference of electrocardiographic(ECG)features between total left main artery(LM)occlusion and subtotal occlusion,and analyze risk factors of in-hospital mortality.Methods A total of 94 patients with left main complete occlusion and 99 patients with subtotal occlusion were included.ECG characteristics,coronary angiography and other clinical data were compared,and factors of hospital death were analyzed.The receiver operating characteristics(ROC)curve was used to analyze the predictive value of ECG characteristics in hospital death risk in patients with LM occlusion.The relationship between ECG characteristics,shock and collateral circulation were analyzed in patients with LM occlusion.Results Compared with the subtotal occlusion group,patients with LM occlusion presented with more ST-segment elevation(STE)in Ⅰ,avL,V2-V5,more STE in avR and avL,more left anterior fascicular block+right bundle branch block,prolonged QRS duration,less STE in avR and less STE in avR+V1.The in-hospital mortality was 46.8%(44/94)in LM occlusion and 14.1%(14/99)in LM subtotal occlusion.STE in avR+avL predicted total LM occlusion with a specificity of 0.97,and left anterior branch+right bundle branch block predicted total LM occlusion with a specificity of 1.00.In patients with total LM occlusion,STE in Ⅰ,avL,V2-V5,prolongation of QRS duration,shock,no collateral circulation,STE in Ⅰ,avL,V2-V5 combined with left anterior fascicular block+right bundle branch block,and STE in Ⅰ,avL,V2-V5 combined with shock predicted in-hospital mortality,with the area under the curve of 0.716,0.619,0.766,0.688,0.572,0.785,respectively.The diagnostic specificity of STE in Ⅰ,avL,V2-V5 combined with shock was 0.82,and the sensitivity was 0.75.STE in Ⅰ,avL,V2-V5 combined with left anterior fascicular block+right bundle branch block predicted in-hospital death in LM occlusion with a specificity of 0.94.The proportion of shock was higher in patients with STE in Ⅰ,avL,V2-V5,left anterior fascicular block+right bundle branch block and collateral flow absence(P＜0.05).In patients with total occlusion,no collateral flow was observed in patients with STE in Ⅰ,avL,V2-V5.In patients with STE in avR(including avR+V1),82.4%of patients presented with right coronary collateral circulation supplying the left anterior descending coronary artery and left circumflex artery territory.In patients with STE in avR+avL,69.2%of patients presented with right coronary collateral circulation supplying left anterior descending coronary artery territory.Conclusion Total LM occlusion presents with different ECG features compared with subtotal occlusion.In LM total occlusion,the ECG features predict in-hospital mortality and are associated with different collateral circulation.

AIM:To analyze the expression changes of O-linked N-acetylglucosamine(O-GlcNAc)glycoprotein in the lens capsule of age-related cataract and diabetic cataract and investigate the role of O-GlcNAc glycoprotein in diabetic cataract.METHODS: The lens capsules of 54 patients(56 eyes)with diabetic cataract and 115 patients(120 eyes )with age-related cataract were studied. Immunoblotting was used to detect the expression level of O-GlcNAc protein in the lens capsules of age-related and diabetic cataracts, and mass spectrometry was used to identify the O-GlcNAc glycoproteins in lens capsules.RESULTS: Immunoblotting results showed that the expression level of O-GlcNAc protein in the lens capsule of diabetic cataracts was significantly higher than in the age-related cataracts(P<0.01). With the level of glycosylated hemoglobin increasing, the expression level of O-GlcNAc protein also increased(P<0.01). Totally 5 O-GlcNAc proteins with up-regulated expression(FABP5, KRT16, PGK1, CTSD and S100A7), and 18 O-GlcNAc proteins with down-regulated expression(CRYβB1, etc.)were identified in the lens capsule of patients with diabetic cataract by mass spectrometry. Three new O-GlcNAc glycosylation sites were identified in this study. They were O-GlcNAcylation at T1730 position and S1738 position of PTPRQ and O-GlcNAcylation at T61 position of ATP5MC2.CONCLUSION:O-GlcNAc glycosylation may be involved in the formation and development of diabetic cataract. The differential O-GlcNAc glycoprotein identified by mass spectrometry provided the data for further study about pathogenesis of diabetic cataract.

Objective:To explore the influence of central obesity on the risk of breast cancer and the possible role of dietary factors in its prevention.Methods:This study is a case-control study including a total of 212 participants, of whom 63 were with breast cancer, 71 were with breast nodules, and 80 were healthy controls. We used bioelectrical impedance analysis to measure body composition,and adopted the food frequency questionnaire to investigate dietary intake of participants.Results:The visceral adipose tissue ( OR=1.03, 95% CI: 1.003 to 1.077) and trunk fat mass ( OR=1.470, 95% CI: 1.104 to 2.184) were independently associated with the increased risk of breast cancer. Dietary patterns characterized by low dietary intake of beans and dairy products ( OR=1.300, 95% CI: 1.044 to 1.619) and high intake of cereals and red meat ( OR=2.254, 95% CI: 1.705 to 2.982) will increase the risk of breast cancer. Moreover, high meat intake ( β=0.268, 95% CI: 0.034 to 0.503) would advance the accumulation of visceral fat, while high bean intake ( β=-0.485, 95% CI: -0.865 to -0.104) would inhibit. Conclusions:Central obesity is an independent risk factor for breast cancer. Insufficient intake of beans and excessive intake of red meat are identified as factors that can exacerbate central obesity in breast cancer patients.