ObjectiveTo investigate the effects of the imbalance between regulatory T cells (Treg) and T helper 17 cells (Th17) in patients with chronic hepatitis B virus (HBV) infection.MethodsThe serum concentration of Treg/Th17 differentiation-related cytokines in 34 patients with chronic hepatitis B (CHB),20 patients with HBV related acute on chronic liver failure (ACHBLF),and 20 healthy controls (NC) were measured by enzyme-linked immunosorbent assay (ELISA) and proportion of peripheral Th17 and Treg cells were analyzed by flow cytometry.Numeration data was analyzed by Fisher's exact propability method and measurement data was tested by one-factor analysis of variance or Turkey multiple comparison.Results The levels of Th17 differentiation-related cytokines,II-1β (3.97±2.85) pg/mL,IL-6 (12.75±-8.87) pg/mL,and IL-21 (360.0±335.7) pg/ mL in patients with ACHBLF were significantly increased than those in NC,which were (1.87 ±0.94) pg/mL(q=4.559,P＜0.01),(5.28±0.72) pg/mL(q=7.309,P＜0.01) and (46.68±20.17) pg/mL(q=6.946,P＜0.01 ),respectively.The proportion of Th17 increased markedly in patients with ACHBLF than that in NC(q=3.972,P＜0.05).However,compared to NC and patients with ACHBLF,the Treg differentiation-related cytokine,TGF-β,in patients with CHB,increased significantly (q=4.536 and 5.323,respectively; both P＜0.01).And the population of Treg also increased markedly in CHB patients.The level of IL-17A which was the characteristic effector cytokine of Th17 was the highest in patients with ACHBLF.The peripheral Th17 cell proportion was positively correlated with the level of serum total bilirubin in patients with ACHBLF (γ=0.74,P＜0.01).Conclusions Th17 and Treg imbalance including cytokine profiles and cell numbers exists in patients with chronic HBV infection.The Th17 are active in patients with ACHBLF and Treg are active in patients with CHB.

Objective: To understand the prevalence and influencing factors of children with ASD in central and eastern Inner Mongolia, and to provide theoretical basis for disease prevention and prevalence of ASD. Methods: Sixteen primary schools and kindergartens were selected from 5 cities in central and eastern Inner Mongolia through random cluster sampling. A total of 15 817 children aged 3-14 years were selected. Children who were positive using Clancy Autism Behavior Scale were further diagnosed according to the teacher s nomination form and the Autism Behavior Checklist, as well as the diagnostic criteria of the fifth edition of the American Diagnostic & Statistical Manual of Mental Disorders by 2 professionals. Results: The prevalence of ASD was 0.27% (42/15 817), with prevalence in urban areas (0.16%, 15/9 231) higher than that of rural areas (0.41%, 27/6 586) ( χ 2=8.89, P <0.01). Logistic regression analysis showed that maternal education and language development were negatively associated with ASD in urban children [ OR =0.29(95% CI =0.12-0.69) and 0.18(95% CI =0.05-0.60), P <0.05]. ASD in rural children were positively associated with enuresis and introverted family members [ OR =7.09(95% CI =1.60-32.27) and 8.63(95% CI =3.10- 24.01 ), P <0.05]. Conclusion High prevalence of ASD is found in urban area of central and eastern Inner Mongolia. Unhealthy habits, neonatal diseases, low parental education, delayed language development and poor exercise performance are primary factors associated with ASD in both urban and rural areas.

Objective: To understand the epidemic status and influencing factors of Mongolian children with ASD in central and eastern Inner Mongolia, so as to provide data support for formulating prevention and intervention strategies and improving the overall epidemiological investigation of ASD in Inner Mongolia. Methods: Sixteen kindergartens and primary schools were selected from Chifeng City, Ulanqab City, Tongliao City, Hulunbuir City and Xilingol League cities in Inner Mongolia by means of random cluster sampling. Firstly, 7 108 children aged 3-14 were initially screened with the Kirschner Autism Behavior Scale(CABS), and then the children with ASD positive were given the autism behavior test scale (ABC). According to the diagnostic criteria, the professionals, including chief physicians and associate chief physicians from the major of child psychiatry, diagnosed ASD with the total score of ABC scale ≥62. Univariate and Logistic regression multivariate analysis were carried out among Mongolian children to find out the influencing factors related to the occurrence of Mongolian ASD in Inner Mongolia. Results: The prevalence of Mongolian children was 0.37%. Mongolian ASD group and Mongolian normal children series in the household register, habitual twitch, hyperactivity, bite lips, families have extreme introverts, mothers age, father s cultural level, cultural degree of mother, father mother mild character, irritable, neonatal diseases, fetal gestational age distribution had statistical significance( χ 2/Z= 12.58 , 16.68, 14.93, 64.43, -3.76, -2.86, 4.57, 11.12, 12.33, 16.66, P <0.05). Conclusion Measures such as shaping a healthy growth environment, adjusting parental style, paying attention to the level of early childhood language development, and preventing neonatal diseases might lower the risk of ASD in children.

Objective:To explore the value of size-specific dose estimate (SSDE) based on effective diameter and water equivalent diameter ( Dw) in pediatric head CT. Methods:A retrospective analysis of 187 children underwent unenhanced head CT scanning were reviewed and divided into 3 groups according to the age: Group 1 (<1 m), Group 2(≥1 m~6 y), Group 3 (≥6~14 y). All CTDI vol values were recorded. The central axial image in the scanning range was selected. The region of interest (ROI) containing all anatomical structures (including skin) was outlined and the area of ROI ( AROI), head circumference, average CT value (CT ROI) were measured. The Dw, conversion factor fH16 and SSDE were calculated. The CTDI vol, SSDE and the rate of change( Δvalue)were compared among groups. The regression model between CTDI vol and SSDE was established. Results:The Dw values of groups 1-3 were (11.24±0.51), (14.48±1.47), (16.69±0.90)mm, respectively. The CTDI vol values were(15.36±2.78), (18.83±4.60), (23.24±4.13)mGy, respectively. SSDE values were(27.92±4.91), (29.16±6.64), (32.38±5.35)mGy, respectively. The differences among Dw, CTDI vol and SSDE groups were all statistically significant ( F=207.69、38.48、8.15, P<0.001). The values of Dw, CTDI vol and SSDE were gradually increasing while the age was increasing. However, the Δ value gradually was decreasing with increasing age. The linear regression equation of CTDI vol and SSDE was established as SSDE=7.252 + 1.137×CTDI vol. Conclusions:The radiation dose of children′s head CT can be accurately assessed based on Dw combined with head conversion factor fH16 to estimate the body-specific dose SSDE. The radiation dose of children′s head CT was underestimated with the greater degree for smaller age.

OBJECTIVES: This study examined the associations between adverse childhood experiences (ACEs) and diabetes within a social-ecological framework, incorporating personal and environmental unfavorable conditions during childhood from family, school, and community contexts. METHODS: Data were obtained from the China Health and Retirement Longitudinal Study (2014 life history survey and 2015 survey), including 9,179 participants aged ≥45 years. ACEs were collected through self-report questionnaires, and participants were categorized based on the number of distinct ACEs experienced (0, 1, 2, 3, or ≥4 ACEs). Diabetes was defined by biomarkers, self-reported diagnosis, and treatment status. Logistic regression was conducted to explore the associations between ACEs and diabetes. Subgroup analyses were conducted by gender, age, and obesity status. RESULTS: Compared with participants without ACEs, those exposed to any ACE (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.01 to 1.40), 3 ACEs (OR, 1.32; 95% CI, 1.07 to 1.62) and ≥4 ACEs (OR, 1.29; 95% CI, 1.07 to 1.56) had an increased risk of diabetes. For each additional ACE, the risk of diabetes increased by about 5%. Regarding the source of ACEs, those originating from the family (OR, 1.23; 95% CI, 1.08 to 1.41) were associated with diabetes. In terms of specific ACE types, family members with substance abuse (OR, 1.23; 95% CI, 1.01 to 1.52), emotional abuse (OR, 1.28; 95% CI, 1.12 to 1.46), and poor parental relationship (OR, 1.25; 95% CI, 1.09 to 1.43) were associated with diabetes. CONCLUSIONS ACEs, particularly those originating from the family, were associated with diabetes. Interventions aimed at preventing and mitigating ACEs are essential for the early prevention of diabetes.