Objective:To investigate the mechanism of natural antigen B(nAgB)to protect Immune thrombocytopenia(ITP)mouse model by influencing autophagy.Methods:Twenty-eight female BALB/c mice aged 8-10 weeks were randomly divided into four groups.7 mice of each group were immunized intraperitoneally,the control group was treated with PBS as the control group;ITP group was treated with anti-CD41 monoclonal antibody(anti-CD41Ab)only;nAgB group was treated with nAgB intraperitoneal injection for 5d;nAgB+ITP group was treated with nAgB intraperitoneal injection for 5d,then treated with anti-CD41 Ab.The peripheral blood platelet count in each group was tested;and the spleen and liver should be isolated and weighed,the organ index was calculated;qRT-PCR was used to detect spleen microtubule-associated protein 1 light chain 3(LC3),p62,Beclin-1 mRNA expression levels.Western blot was used to detect the protein expression level of spleen LC3 Ⅱ/LC3 Ⅰ,p62,Beclin-1.Results:Compared with the control group,mice in the ITP group showed a significant decrease in blood PLT count[(102.1±17.9)× 109/L vs(485.4±185.2)×109/L,P＜0.01],a significant increase in spleen index(P＜0.01),mice in the nAgB group showed a significant increase in blood PLT count,rising to(1051±127.6)× 109/L on the 3 day after modeling.Compared with the ITP group,mice in the nAgB+ITP group showed a significant increase in PLT count on the 1 day of anti-CD41 Ab administration[(428.6±131.6)× 109/L vs(102.1±17.9)×109/L,P＜0.05],however,the spleen index was significantly decreased(P＜0.05).qRT-PCR and Western blot results showed that compared with the control group,the mRNA and protein expression levels of spleen LC3,p62 and Beclin-1 were increased in the ITP group of mice(P＜0.05,P＜0.01).Compared with the ITP group,the nAgB+ITP group could significantly decrease mRNA levels of spleen LC3,p62 and Beclin-1(P＜0.05,P＜0.01),and also significantly decrease the protein expression levels of LC3 Ⅱ/LC3 Ⅰ,p62 and Beclin-1(P＜0.05,P＜0.01).Conclusion:nAgB inhibits the transcription and expression levels of autophagy-related genes and regulates immune intolerance,thereby protecting ITP mouse models.

To explore an effective health management model for obese students,a comprehensive intervention was carried out for obese students with cardiovascular and metabolic risks,and the effectiveness of this intervention model was evaluated.From Jan to Apr 2024(excluding the winter vacation),300 students were selected from 6 primary schools in Qibao Community,Minhang District,Shanghai,to participate in the study(28 students dropped out during the study period).The study subjects were divided into two intervention groups(pilot intervention group:equipped with a health vice principal;general intervention group:not equipped with a health vice principal)and a control group.The intervention group received comprehensive intervention measures such as science popularization,diet,exercise and psychology,while the control group received daily health management.The post-intervention results showed that the intervention group had significant improvements in healthy diet,scientific exercise and positive psychology,with significant differences compared to the control group(P<0.05).At the same time,the intervention group had a reduced detection rate of obesity(BMI≥P95),and a decreased detection rate of abnormal metabolic indicators such as blood pressure,fasting blood glucose and triglyceride,especially significant differences in fasting blood glucose and triglyceride compared with the control group(P<0.001).In addition,the pilot intervention group under the operation of health vice principal showed better effects in changing healthy behaviors and improving some metabolic indicators compared with the general intervention group.The implementation of this project provided a scientific basis for the promotion of a comprehensive intervention model for student health under the oprtation of health vice principle.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Bovine rotavirus(BRV)is an important pathogen causing diarrhea in calves.To understand the genomic charac-teristics and genetic variations in bovine rotavirus,and to further enrich data on the biological characteristics of rotavirus,we aimed to amplify 11 gene segments of the isolated and cultured G6P[1]bovine rotavirus BLL strain,perform whole genome se-quencing,and analyze the molecular characteristics.MEGA7.0 and DNAMAN software were used for homology and typing a-nalysis,and the whole genome phylogenetic tree was constructed to analyze genetic evolution relationships.The complete geno-type of the BLL strain was G6-P[1]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis of the VP7 and VP4 genes of the BLL strain showed that the VP7 gene had the highest homology with RVA/Cow-wt/HB01/China/2021,and the VP4 gene of the BLL strain was in the same branch as RVA/Human-tc/ISR/Ro8059/1995.From the sequence alignment of VP8*amino acids,the sialic acid domain of the BLL strain was found to be similar to that in other P[1]strains,but different from those in other types of strains,except for residue 189,which was the same as that in Ro8059 but different from that in other strains.The results suggested that the BLL strain might potentially infect humans.Therefore,continued monitoring and study of the biological characteristics of this strain are necessary to provide more information and evidence supporting further research on the cross-species transmission of group A rotavirus in China.

Objective:To investigate the mechanism of natural antigen B(nAgB)to protect Immune thrombocytopenia(ITP)mouse model by influencing autophagy.Methods:Twenty-eight female BALB/c mice aged 8-10 weeks were randomly divided into four groups.7 mice of each group were immunized intraperitoneally,the control group was treated with PBS as the control group;ITP group was treated with anti-CD41 monoclonal antibody(anti-CD41Ab)only;nAgB group was treated with nAgB intraperitoneal injection for 5d;nAgB+ITP group was treated with nAgB intraperitoneal injection for 5d,then treated with anti-CD41 Ab.The peripheral blood platelet count in each group was tested;and the spleen and liver should be isolated and weighed,the organ index was calculated;qRT-PCR was used to detect spleen microtubule-associated protein 1 light chain 3(LC3),p62,Beclin-1 mRNA expression levels.Western blot was used to detect the protein expression level of spleen LC3 Ⅱ/LC3 Ⅰ,p62,Beclin-1.Results:Compared with the control group,mice in the ITP group showed a significant decrease in blood PLT count[(102.1±17.9)× 109/L vs(485.4±185.2)×109/L,P＜0.01],a significant increase in spleen index(P＜0.01),mice in the nAgB group showed a significant increase in blood PLT count,rising to(1051±127.6)× 109/L on the 3 day after modeling.Compared with the ITP group,mice in the nAgB+ITP group showed a significant increase in PLT count on the 1 day of anti-CD41 Ab administration[(428.6±131.6)× 109/L vs(102.1±17.9)×109/L,P＜0.05],however,the spleen index was significantly decreased(P＜0.05).qRT-PCR and Western blot results showed that compared with the control group,the mRNA and protein expression levels of spleen LC3,p62 and Beclin-1 were increased in the ITP group of mice(P＜0.05,P＜0.01).Compared with the ITP group,the nAgB+ITP group could significantly decrease mRNA levels of spleen LC3,p62 and Beclin-1(P＜0.05,P＜0.01),and also significantly decrease the protein expression levels of LC3 Ⅱ/LC3 Ⅰ,p62 and Beclin-1(P＜0.05,P＜0.01).Conclusion:nAgB inhibits the transcription and expression levels of autophagy-related genes and regulates immune intolerance,thereby protecting ITP mouse models.

To explore an effective health management model for obese students,a comprehensive intervention was carried out for obese students with cardiovascular and metabolic risks,and the effectiveness of this intervention model was evaluated.From Jan to Apr 2024(excluding the winter vacation),300 students were selected from 6 primary schools in Qibao Community,Minhang District,Shanghai,to participate in the study(28 students dropped out during the study period).The study subjects were divided into two intervention groups(pilot intervention group:equipped with a health vice principal;general intervention group:not equipped with a health vice principal)and a control group.The intervention group received comprehensive intervention measures such as science popularization,diet,exercise and psychology,while the control group received daily health management.The post-intervention results showed that the intervention group had significant improvements in healthy diet,scientific exercise and positive psychology,with significant differences compared to the control group(P<0.05).At the same time,the intervention group had a reduced detection rate of obesity(BMI≥P95),and a decreased detection rate of abnormal metabolic indicators such as blood pressure,fasting blood glucose and triglyceride,especially significant differences in fasting blood glucose and triglyceride compared with the control group(P<0.001).In addition,the pilot intervention group under the operation of health vice principal showed better effects in changing healthy behaviors and improving some metabolic indicators compared with the general intervention group.The implementation of this project provided a scientific basis for the promotion of a comprehensive intervention model for student health under the oprtation of health vice principle.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.

Objective To investigate the factors that influence ocular surface biology and visual acuity in individuals with diabetic dry eye(DDE)and analyze how these factors contribute to changes in visual quality.Methods Based on the disease duration,fasting blood glucose(FBG),and glycated hemoglobin(HbA1c)levels of patients with type 2 diabe-tes mellitus(T2DM),the DDE patients were divided into different groups.Logistic regression analysis was used to identify influencing factors related to ocular surface biology and visual quality in each group of DDE patients.Tear film stability was evaluated based on the tear film rupture time(BUT),Schirmer I test(SIt),and ocular surface disease index(OSDI).Lip-iview? Surface interferometers were used to measure tear film lipid layer thickness(LLT),meibomian gland loss rate(MGP),meibomian gland opening number(MGYLS),and meibomian gland secretion score(MGYSS).Wavefront aber-rometry was used to measure corneal wavefront aberration values at 4 mm and 6 mm pupil diameters.Ocular response ana-lyzer(ORA)was adopted to analyze corneal hysteresis(CH)and corneal resistance factor(CRF).Moreover,ELISA ex-periment to evaluate the trend of changes in inflammatory factors in tears.Results Logistic regression analysis revealed that T2DM duration,smoking history,FBG,HbA1c,total cholesterol(TC),triglycerides(TG),OSDI score,LLT,BUT,SIt,MGP,MGYLS,MGYSS,total higher-order aberrations,spherical aberration,coma aberration,trefoil aberration,tumor necrosis factor-α,interleukin-6,matrix metalloproteinase-9,receptor for advanced glycation end products,and insu-lin were all influencing factors for the risk of DDE(all P＜0.05).As the T2DM course prolonged and FBG or HbA1 c levels rose,tear film-related indicators(LLT,BUT,and SIt)and meibomian gland-related indicators(MGYLS and MGYSS)inpa-tients gradually decreased,while OSDI scores and MGP gradually increased(all P＜0.05).As the T2DM course prolonged and FBG or HbA1c levels rose,the total higher-order aberrations,spherical aberration,coma aberration,and trefoil aber-ration in DDE patients under 4 mm and 6 mm pupil diameters gradually increased;Meanwhile,best corrected visual acuity,corneal hysteresis,and corneal resistance factor gradually decreased;The contents of tumor necrosis factor-α,interleukin-6,matrix metalloproteinase-9,receptor for advanced glycation end products,and insulin in tears all gradually increased,while mucin-5AC gradually decreased(all P＜0.05).Conclusion With the prolongation of T2DM duration and the in-crease of FBG or HbA1c,the ocular surface inflammatory response in DDE patients gradually worsens,corneal biological function decreases,and visual quality deteriorates.Timely systemic and local interventions are of great significance for im-proving dry eye symptoms and visual quality in DDE patients.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.