Objective To screen the differential proteins in the brain (neocortex and hippocampus) between the rats with cortical dysplasia (CD) and control ones,and investigate the role of their alteration in the development of epilepsy in CD.Methods Cortical dysplasia was induced in rat pups via in utero delivery of BCNU.A two-dimensional electrophoresis (2-DE)-based approach was used to construct the expression profiles of proteins in both the neocortex and hippocampus at different age groups (postnatal day 7 and 60) and to detect proteome changes between CD rats and control ones.Following gel image analysis,protein spots that differed in abundance between CD and control rats were identified by using Matrx-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) and MS/MS.Results A total of 57 kinds of protein were screened out (P ＜ 0.05),in which 35 were found up-regulated and 22 were down-regulated compared with the control,35 from neonatal stage (postnatal day 7) and others from adult stage.Finally,12 among them were identified,including tubulin,alpha-lB,Beta-actin,tubulin beta-2A,GAP-43,UbCKmit,GAPDH and TMBr-3,etc.Conclusions Changed expression of specific proteins which were found in our study are involved in construction of brain 's cytoskeleton,synaptic function,mitochondrial function and so forth.Thus,they may be related to the pathogenic mechanisms of epileptogenicity of CD.

Stent-assisted coil embolization is a common endovascular treatment for ruptured/unruptured intracranial aneurysms. Stent implantation process can damage vascular endothelium, activate platelet and coagulation cascade, and then increase the risk of thrombosis. In order to reduce the risk of postoperative embolism, antiplatelet therapy is required. Among them, aspirin combined with clopidogrel dual antiplatelet therapy is a commonly used strategy. For patients with low response to clopidogrel, tigrelol or cilostazol can be used as an alternative drug. Although the scheme has been considered to be effective and safe, it is still controversial.

Objective: To analyze the cumulative effect of preadolescent lifestyles on the prevalence and incidence of elevated blood pressure (EBP) in children, and to provide evidence for early hypertensive intervention. Methods: In 2017, a cohort study on pubertal development was conducted in Xiamen, Fujian Province. Participants underwent a physical examination and questionnaire survey. Between 2017 and 2019, this study carried out a 2-year follow-up of 1 316 students whose complete data were obtained. Preadolescent lifestyles were assessed by referring to baseline survey results obtained in 2017, and the prevalence and incidence of EBP were determined according to blood pressure levels that were determined in 2019. The logistic regression model was used to analyze the influence of healthy lifestyles on the prevalence and incidence of EBP after adjusted for confounding factors. Results: The prevalence of EBP in 2017 and 2019 was 25.0% and 23.3%, respectively, and its incidence was 18.9% after the 2-year follow-up. Children with a healthy lifestyle had a lower prevalence and incidence of EBP. The regression analysis showed that children who have more healthy lifestyle factors were at a lower risk of EBP (P<0.05). Compared with students with 0-2 healthy lifestyle factors, the OR value of EBP prevalence was 0.52 (95% CI=0.30-0.90) and the RR value of EBP incidence was 0.60(95%CI=0.29-1.22) in children with 4-5 healthy lifestyle factors. Among them, children who were overweight or obese were at a significantly lower risk of EBP prevalence (OR=0.29, 95%CI=0.10-0.81). Conclusion Preadolescent lifestyles seemed to have a cumulative effect on the occurrence of EBP. Maintaining a healthy lifestyle had a positive effect on reducing the risk of EBP, particularly in overweight and obese children, and this was due to their adoption of a comprehensive healthy lifestyle.

Objective: To explore the association between lifestyle and fat mass index (FMI) in different positions of children and adolescents aged 7-18, so as to provide a scientific basis for health promotion in children and adolescents. Methods: A total of 1 531 students aged 7-18 was selected by intentional sampling from 4 schools in Tongzhou District, Beijing from September to December in 2020 and August in 2022. Questionnaire survey was used to collect lifestyle including dietary behavior, moderate to vigorous physical activity, smoke and drink behaviors, sleep time and sleep quality. Dual energy Xray absorptiometry was employed to assess fat mass, and calculated total, android, trunk, hip, gynoid and leg fat mass index (FMI). The ttest and Chisquare test were used to compare the differences of different lifestyle. Logistic regression was used to analysis association between lifestyle and body composition in different positions. Results: Compared with healthy lifestyle, unhealthy lifestyle had higher risk for hightrunk FMI (OR=1.40, P<0.05). After adjusted for sex and age, unhealthy lifestyle had higher risk for hightotal FMI, highandroid FMI, hightrunk FMI (OR=1.37, 1.37, 1.50, P<0.05), compared with healthy lifestyle. Stratified analysis found the associations between unhealthy lifestyle and hightotal FMI, highandroid FMI, hightrunk FMI, and highthigh FMI were only significant in girls with 7-12 years old (OR=2.13, 2.46, 2.13, 2.13, P<0.05). Conclusions Unhealthy lifestyle is associated with hightotal FMI, highandroid FMI and hightrunk FMI. A healthy lifestyle should be maintained during puberty, especially before puberty, to help children and adolescents reduce body fat and promote a balanced distribution of body composition.

Objective: To explore the association between digital devices usage and body weight overestimation in children and adolescents aged 7-18, in order to provide a scientific basis for body weight overestimation prevention in children and adolescents. Methods: Based on the data of the Research Special Project for Public Welfare Industry of Health using stratified cluster sampling method in 2012, a tatal of 40 073 children and adolescents from 7 provinces with complete information were chosen. Ordinal multivariable Logistic regression model estimated the association between digital devices usage and body weight overestimation. Results: A total of 4 276(11.8%) students with overestimation of body weight were detected, who spent >300 min/d time in digital devices(5.12%) than others (3.84%)( χ 2=19.14, P <0.01). Univariate analysis showed that students with time spent on digital devices >300 min/d had a higher risk in overestimation of body weight ( OR=1.36,95%CI=1.18-1.57,P <0.01) compared with students who spent on digital devices≤120 min/d. There was still a significant association after confounder adjustment ( OR=1.28, 95%CI= 1.10-1.48,P <0.05). Stratified analysis showed that the association between digital devices usage and overestimation of body weight were only observed in girls, 11-18 years old and non single child( P <0.05). Conclusion The time usage of digital devices is associated with overestimation of body weight in children and adolescents. It may helpful for children and adolescents to prevent overestimation of body weight by reducing time spent on digital devices.