Objective To assess the safety, effectiveness and predictive factors of endoscopic balloon dilatation for the treatment of esophageal stricture and esophageal achalasia in children. Methods 28 patients with esophageal stricture and esophageal achalasia treated by endoscopic balloon dilatation from January 2012 to November 2014 were included. All the patients were divided into two groups, 22 in group A (esophageal stricture) and 6 in group B (esophageal achalasia). All procedures were performed under tracheal intubation and intravenous anesthesia using the 3rd grade controlled radial expansion (CRE) balloon with gastroscope. Outcomes, including success, complications and recurrence data were recorded, and predictors for outcomes were analyzed. Results A total of EBD 57 sessions (1 to 5 per patient, 2.00 ± 1.15) were performed on 28 patients in this study. 22 patients were diagnosed with esophageal stricture (78.57%) and 6 with esophageal achalasia (21.43%). The median age was 25 months (range 0 ~ 150), and female/ male ratio was 12/16. EBD was successful in all the 28 cases. The total success rate was 100.00%. Complications occurred in 6 patients during the dilatation, and no complication in 22 patients. Completely remission of symptoms was seen in 82.14% cases (n = 23), relief in 14.28% (n = 4), non-response in 3.57% (n = 1), and recurrence in 3.57% (n = 1). The stricture diameter before EBD was (6.28 ± 1.77) mm (range 3.0 ~ 10.0 mm), and it was (10.85 ± 2.51) (range 6 ~ 15 mm) after the last EBD. The difference was significant (P < 0.01). There was no significant difference in success, effectiveness, complications and recurrence among the two groups (P > 0.05). The effectiveness of EBD was significantly associated with the diameter and number of strictures (P < 0.05), more complications were seen in the patients with multiple and/or smaller strictures (P < 0.05). In group A, the longer interval between surgery and the first EBD was related to more dilatation in the patients with anastomotic esophageal strictures (P < 0.05). The age and the interval between symptom onset and the first EBD were not the predicting factors for treatment in group B (P > 0.05). Conclusions The results of this study indicated that EBD under general anesthesia was an effective primary treatment in children with esophageal stricture and esophageal achalasia. The diameter and number of stricture were the most important predictive factors for successful clinical outcomes, while the interval between surgery and the first EBD was the most risk factor for EBD sessions in the patients with anastomotic esophageal strictures.

OBJECTIVETo explore the effects of angiotensin-(1-7) on the learning and memory abilities and the expressions of glial fibrillary acidic protein (GFAP) and glial cell line-derived neurotrophic factor (GDNF) in the hippocampus of diabetic rats.

METHODSForty male SD rats were randomly assigned into 4 groups, namely the control group, diabetic group, Ang(1-7)-treated diabetic group (DM1 group), and Ang-(1-7)- and Mas receptor antagonist A779-treated diabetic group (DM2 group). Diabetic rat models were established by a single intraperitoneal injection of streptozotocin (60 mg/kg). The cognitive function of the rats was assessed with Morris water maze (MWM) test. The expressions of GDNF in the hippocampus were examined by RT-PCR and Western blot. Nissl staining was performed to evaluate the morphological changes in rat hippocampus. The expressions of glial fibrillary acidic protein (GFAP, a key indicator of astrocytic reactivity) and caspase-3 were measured by immunohistochemistry.

RESULTSCompared with the control group, the diabetic rats exhibited significantly impaired learning and memory abilities (P<0.05) with lowered expression of GDNF and increased caspase-3 expression in the hippocampus (P<0.05) and significant hippocampal neuronal and astrocyte injuries (P<0.05). Treatment with Ang(1-7) obviously improved the learning and memory abilities of the diabetic rats (P<0.05), increased GDNF and GFAP expressions (P<0.05), lowered caspase-3 expression (P<0.05), and increased the number of surviving neurons in the hippocampus (P<0.05). Such effects of Ang(1-7) effect was blocked by treatment with A779 of the diabetic rats.

CONCLUSIONAng(1-7) can alleviate cognitive dysfunction in diabetic rats possibly by up-regulating the expressions of GFAP and GDNF and promoting neuron survival in the hippocampus.

Angiotensin I ; pharmacology ; Animals ; Astrocytes ; Caspase 3 ; metabolism ; Cognition ; Cognition Disorders ; Diabetes Mellitus, Experimental ; physiopathology ; Glial Cell Line-Derived Neurotrophic Factor ; metabolism ; Glial Fibrillary Acidic Protein ; metabolism ; Hippocampus ; cytology ; metabolism ; Male ; Memory ; Neurons ; Peptide Fragments ; pharmacology ; Rats ; Rats, Sprague-Dawley ; Streptozocin

Objective To explore the effects of angiotensin-(1-7) on the learning and memory abilities and the expressions of glial fibrillary acidic protein (GFAP) and glial cell line-derived neurotrophic factor (GDNF) in the hippocampus of diabetic rats. Methods Forty male SD rats were randomly assigned into 4 groups, namely the control group, diabetic group, Ang(1-7)-treated diabetic group (DM1 group), and Ang-(1-7)-and Mas receptor antagonist A779-treated diabetic group (DM2 group). Diabetic rat models were established by a single intraperitoneal injection of streptozotocin (60 mg/kg). The cognitive function of the rats was assessed with Morris water maze (MWM) test. The expressions of GDNF in the hippocampus were examined by RT-PCR and Western blot. Nissl staining was performed to evaluate the morphological changes in rat hippocampus. The expressions of glial fibrillary acidic protein (GFAP, a key indicator of astrocytic reactivity) and caspase-3 were measured by immunohistochemistry. Results Compared with the control group, the diabetic rats exhibited significantly impaired learning and memory abilities (P<0.05) with lowered expression of GDNF and increased caspase-3 expression in the hippocampus (P<0.05) and significant hippocampal neuronal and astrocyte injuries (P<0.05). Treatment with Ang(1-7) obviously improved the learning and memory abilities of the diabetic rats (P<0.05), increased GDNF and GFAP expressions (P<0.05), lowered caspase-3 expression (P<0.05), and increased the number of surviving neurons in the hippocampus (P<0.05). Such effects of Ang(1-7) effect was blocked by treatment with A779 of the diabetic rats. Conclusion Ang(1-7) can alleviate cognitive dysfunction in diabetic rats possibly by up- regulating the expressions of GFAP and GDNF and promoting neuron survival in the hippocampus.

Objective To investigate the value of clinical care path in pregnant women with gestational diabetes .Methods Eighty pregnant women with gestational diabetes were selected and randomly divided into the observation group ( n =40 ) and the control group ( n =40 ) .The observation group was carried out the clinical nursing care path, while the control group used the conventional care method .The results were presented by comparing the health education , patients ’ satisfaction, child delivery mode , postpartum hemorrhage , breastfeeding , and blood glucose control status .Results The fasting blood glucose , thirty minutes before and two hours after meal glucose , and the midnight glucose in the observation group were (4.61 ±0.43), (4.21 ±0.89), (6.22 ±0.21) and (4.92 ±0.73) mmol/L, respectively.Those in the control group were (5.72 ±3.20), (5.85 ±2.42), (7.68 ±2.95) and (6.39 ±3.18) mmol/L.The glucose values were significantly reduced (t=2.1743,4.022 6,3.122 2,2.849 5,respectively;P <0.05).Thirteen patients (32.50%) in the observation group and twenty-four patients (60.00%) in the control group were undergone cesarean section.There was no significant difference (χ2 =2.205 2,P>0.05).In the observation group, two patients (5.00%) had postpartum hemorrhage and thirty-eight patients (95.00%) took breast feeding; while in the control group, twelve patients ( 30.00%) had postpartum hemorrhage and twenty-nine patients (72.50%) took breast feeding.The differences were significant (χ2 =8.658 0,7.439 7,respectively;P <0.05).The compliance in the observation group was significantly higher than that in the control group ( U=2.914 4,P<0.01).And the passing rate of health education (χ2 =23.809 5,P<0.01) and the re-visiting rate (U=2.835 3,P<0.01) in the observation group were also significantly higher than those in the control group.Conclusions Clinical care path can improve the nursing care treatment and patients ’ satisfaction, and it is worthy of promotion .

Organoids,recognized as invaluable models in tumor and stem cell research,assume a pivotal role in the meticulous analysis of diverse datasets pertaining to their growth dynamics,drug screening processes and related phenomena.However,the manual scrutiny and conventional statistical methodologies employed in handling organoid data often grapple with challenges such as diminished precision and efficiency,heightened complexity,escalated human resource requirements,and a degree of subjectivity.Acknowledging the remarkable efficacy of artificial intelligence(AI)in the realms of biology and medicine,the incorporation of AI into organoid research stands poised to enhance the objectivity,precision and expediency of analyses.This integration empowers organoids to more effectively fulfill objectives such as disease modeling,drug screening and precision medicine.Notably,significant strides have been made in AI-driven analyses of organoid image data.The amalgamation of deep learning into image analysis facilitates a more meticulous delineation of the microstructural intricacies and nuanced changes within organoids,achieving a level of accuracy akin to that of experts.This not only elevates the precision of organoid morphology and growth recognition,but also contributes to substantial time and cost savings in research endeavors.Furthermore,the infusion of AI technology has yielded breakthroughs in the processing of organoid omics data,resulting in heightened efficiency in data processing and the identification of latent gene expression patterns.This furnishes novel tools for comprehending cellular development and unraveling the intricate mechanisms underlying various diseases.In addition to image data,AI techniques applied to diverse organoid datasets,encompassing electrical signals and spectra,have realized an unbiased classification of organoid types and states,embarking on a comprehensive journey towards characterizing organoids holistically.In the pivotal domain of drug screening for organoids,AI emerges as a stalwart companion,providing robust support for real-time process monitoring and result prediction.Leveraging high-content microscopy images and sophisticated deep learning models,researchers can dynamically monitor organoid responses to drugs,effecting non-invasive detection of drug impacts and amplifying the precision and efficiency of drug screening processes.Despite the significant strides made by AI in organoid research,challenges persist,encompassing hurdles in data acquisition,constraints in sample quality and quantity,and quandaries associated with model interpretability.Overcoming these challenges necessitates dedicated future research efforts aimed at enhancing data consistency,fortifying model interpretability,and exploring methodologies for the seamless fusion of multimodal data.Such endeavors are poised to usher in a more comprehensive and dependable application of AI in organoid research.In summation,the integration of AI technology introduces unparalleled opportunities to organoid research,resulting in noteworthy advancements.Nevertheless,interdisciplinary research and collaborative efforts remain imperative to navigate challenges and propel the more profound integration of AI into organoid research.The future holds promise for AI to assume an even more prominent role in advancing organoid research toward clinical translation and precision medicine.

Objective: To explore the association of tobacco/alcohol-excessive Internet usage and insufficient sleep with depressive symptoms among middle school students, so as to provide a reference for improving mental health of middle school students. Methods: In accordance with the cluster random sampling method, a total of 18 484 middle school students in Shanghai were surveyed from September to November 2022. Tobacco/alcohol-excessive Internet usage and sleep duration with depressive symptoms were assessed using the relevant scale items included in the questionnaire of Surveillance for Common Disease and Health Risk Factors among Students. The χ 2 test was used for inter group comparison, Logistic regression analysis and likelihood ratio test were used to analyze the independent and aggregated associations of tobacco/alcohol-excessive Internet use and insufficient sleep wiht depressive symptoms. Results: Self reported rates of tobacco/alcohol-excessive Internet usage, insufficient sleep and depressive symptoms among adolescents were 14.7%, 73.5% and 16.3%, respectively. Tobacco/alcohol-excessive Internet usage ( OR=2.69, 95%CI =2.44-2.97) and insufficient sleep ( OR=1.76, 95%CI =1.58-1.95) were associated with depressive symptoms ( P <0.05). Compared to middle school students with no tobacco/alcohol-excessive Internet usage and sufficient sleep, those with both tobacco/alcohol-excessive Internet usage and insufficient sleep showed the higher rate of depressive symptoms ( OR=4.71, 95%CI =4.08-5.44, P <0.05). Further stratified analysis results showed that, compared to the boys and the high school students, the separate and joint association of tobacco/alcohol-excessive Internet usage and insufficient sleep with depressive symptoms were more pronounced in the girls and the middle school students [ OR (95% CI ) for tobacco/alcohol-excessive Internet usage were 3.09 (2.68-3.56) and 4.74 (3.86-5.83), respectively; OR (95% CI ) for insufficient sleep were 1.86 (1.60-2.17) and 2.00 (1.58-2.53), respectively; and the OR (95% CI ) for the joint association were 6.05 (5.01-7.31) and 9.15 (6.98-11.99), respectively, P <0.05]. Conclusions Tobacco/alcohol-excessive Internet usage and insufficient sleep are associated with depressive symptoms in middle school students. Prevention and control strategies for adolescent mental health should be developed with consideration of health related behaviors, and also need to be tailored by focusing on gender and grade differences.

Objective: To understand the status of teaching environmental health in primary and secondary schools and explore its association with myopia, so as to provide a basis for precision myopia prevention and control. Methods: From September to October 2020, a stratified cluster sampling method was used in 16 districts of Shanghai. After matching the teaching environment testing classrooms with the classrooms where the students were surveyed, totally 470 classrooms and 14 624 students were monitored. Trained professional technicians used laser range finder, luxmeter to measure parameters about teaching environmental health. Students were subject vision testing and questionnaires. Multilevel models was used to analyze the association between teaching environment and screening myopia. Results: The qualified rates of each indicators of teaching environmental health were as follows: window to floor area ratio (93.0%), classroom area per capita (82.1%), uniformity ratio of illuminance of blackboard ( 79.7% ), blackboard size (68.7%), daylight factor (67.0%), blackboard hanging height (66.9%), average illuminance on desk (66.4%), uniformity ratio of illuminance of desk (63.6%), reflectance of blackboard (46.8%), average illuminance on blackboard (41.4%), reflectance of wall (33.2%), desk and chair allocation compliance rate (19.8%). The results of two level Logistic model analysis showed that unqualified average illuminance on blackboard was positively associated with screening myopia ( OR =1.24, 95% CI = 1.05 -1.47, P <0.05). Conclusion Teaching environmental health of primary and secondary schools in Shanghai is not optimistic, teaching environment especially the desk and chair allocation compliance rate need to be improved. The average illumination on blackboard is positively correlated with screening myopia, suggesting that myopia prevention and control can focus on improving the illuminance on blackboard.

Objective: The growing body of literature showed a link between uric acid and pulmonary hypertension (PH), but the impact of hyperuremia on outcome of patients with PH has not been well defined. Therefore, the present study was performed to analyze the impact of uric acid on outcome of PH patients. Methods: One hundred seventy-three PH patients (112 females, mean age 38 years old), who were hospitalized in our department between January 2010 and December 2015, were included in our study, the PH diagnosis was made based on right heart catheterization examination result (mean pulmonary artery pressure≥25 mmHg(1 mmHg=0.133 kPa)). PH patients were divided into mild to moderate PH group (Rp/Rs≤0.6, n=97) and severe PH group (Rp/Rs>0.6, n=76). Fifty-one patients (33 females, mean age 45 years old) without PH based on right heart catheterization were included as control subjects. All participants were followed up for a median of 24 months(6-71 months). Clinical endpoints were defined as cardiogenic death or heart-and-lung transplantation. Results: Uric acid was positively correlated with pulmonary vascular resistance(r=0.398, P<0.01), systemic vascular resistance(r=0.244, P<0.01) and mean right atrial pressure (r=0.26, P<0.01), and was negatively correlated with cardiac index(r=-0.278, P<0.01)and mixed venous oxygen saturation (r=-0.322, P<0.01)in PH patients. Serum uric acid level was significantly higher in patients with severe PH than in patients with mild-to-moderate PH and the control subjects (both P<0.05). According to the receiver operating characteristic curve (ROC), 425.5 μmol/L was found to be the best cut-off value of serum uric acid level to predict the outcome of PH patients (sensitivity 50%, specificity 72%). During follow-up, patients with higher level of uric acid (>425.5 μmol/L) were linked with poorer clinical outcome compared to patients with uric acid <425.5 μmol/L(P=0.027). Conclusion Our findings suggests that uric acid is associated with the severity of PH and higher uric acid level serves as an important predictor for poor clinical outcome of PH patients.

Objective: To analyze the trends of Internet addiction among adolescents in Shanghai, so as to provide theoretical evidence for the prevention and control of Internet addiction in adolescents. Methods: A multistage stratified cluster random sampling method was conducted, and 92 171 junior and senior high school students in Shanghai were selected for questionnaire survey in 2004-2019. Evaluation of Internet addiction, loneliness, academic pressure and depression among middle school students. Results: In 2004-2019, the rate of Internet addiction among middle school students in Shanghai was 4.3%, which without significant differences by year( t =1.8, P >0.05). The detection rate of Internet addiction in boys (5.3%) was higher than that in girls (3.4%) ( χ 2=186.8, P <0.01), and was highest in secondary vocational school (7.7%), followed by senior high school (4.6%) and junior middle school students (2.8%) ( χ 2=746.5, P <0.01). The prevalence of Internet addiction in girls, senior high school students, secondary vocational school students, students aged 16-20, students with loneliness or high academic pressure showed an increasing trend in 2004-2019, with the average annual increase rate ( APC ) of 6.62%, 5.45%, 2.13%, 3.36%, 4.09% and 3.60% respectively ( P <0.05). Conclusion Internet addiction among adolescents in Shanghai showed an increasing trend in some groups from 2004-2019, but without significant differences by year in the overall groups. Comprehensive prevention and control programs are needed for adolescent Internet addiction, especially for those with mental health problems.

Objective: To analyze the trends of smoking and drinking behaviors among adolescents in Shanghai from 2004 to 2019, and to provide theoretical evidence for effective tobacco and alcohol interventions among adolescents. Methods: Data regarding smoking and drinking behaviors from adolescent health risk behavior surveillance program in Shanghai from 2004 to 2019 were collected, and the prevalence of ever smoking, current smoking, ever drinking and current drinking were comparatively analyzed. Results: The prevalence of ever smoking, current smoking, ever drinking and current drinking among boys were significantly higher than those among girls in 2004 to 2019( χ 2=58.20-347.44, P <0.01). Except the prevalence of ever drinking in 2012, the prevalence of ever smoking, current smoking, ever drinking and current drinking in vocational school students were the highest in each survey( χ 2=111.19-1 196.61, P <0.01). From 2004 to 2019, the standardized rates of smoking and drinking of boys and girls showed a downward trend ( APC =-6.20--1.80, P <0.05). The standardized ever smoking rate and the standardized ever drinking rate of both boys and girls declined significantly from 2004 to 2019（ APC=-5.00, -1.80, P ＜0.05）. The overall standardized rate of ever smoking decreased from 21.02% in 2004 to 12.23% in 2019, and that of ever drinking decreased from 60.52% in 2004 to 47.17 % in 2019）. However, the overall standardized rates of current smoking and current drinking did not reach statistically significance（ P >0.05）. Conclusion From 2014 to 2019,the prevalence of ever smoking and ever drinking among adolescents in Shanghai over the observed period showed a declining trend by years, but there was no significant change in current smoking and current drinking among adolescents. Specific interventions targeting on smoking and drinking behaviors among adolescents need to be strengthened.