Objective To investigate the status and influencing factors of overweight and obesity among primary and secondary school students in Pudong New Area of Shanghai, and to provide reference for formulating obesity-related intervention strategies for school-age children. Methods Stratified cluster random sampling method was used to conduct a questionnaire survey among primary and secondary school students in Pudong New Area. The overweight and obesity rate was calculated according to the Chinese health industry standard, and the risk factors of overweight and obesity in children and adolescents of different school age groups were analyzed by logistic regression. Results The overweight and obesity rate (25.3%) of primary and secondary school students in Pudong New Area exceeded the national average level. In primary school group, male, sleep time ≥ 8h per day, water intake ≥ 1200 mL per day, and the presence of mobile food stalls around the school were the risk factors for overweight and obesity. Daily extracurricular exercise time of 30 minutes to 2 hours was a protective factor. In junior high school group, male and electronic product use time of ≥ 2h per day were the risk factors for overweight and obesity. The daily extracurricular exercise time of 1 to 2 hours was a protective factor. In high school group, drinking water ≥1200mL per day was a risk factor for overweight and obesity. Eating breakfast every day for the past week was a protective factor. Conclusion Group intervention targeting overweight and obese school-age children, while changing corresponding unhealthy habits according to different school age groups, is crucial for weight loss in school-age children.

Objective: To investigate the association between edentulism and the risk of social isolation in middle-aged and elderly populations, provide empirical evidence for formulating social isolation prevention and intervention policies targeting edentulous middle-aged and elderly populations. Methods: Data were derived from the baseline survey (2011) and three follow-ups (2013, 2015, 2018) of the China Health and Retirement Longitudinal Study (CHARLS). Participants were enrolled in the follow-up from the baseline. Those identified as socially isolated in any of the follow-up surveys conducted in 2013, 2015, or 2018 were considered to have reached the endpoint; otherwise, the follow-up was continued until the end of the 2018 survey; 9 870 individuals were ultimately included. Subjects were grouped by edentulism status. Chi-square test and multivariate Cox regression analysis were performed using Stata 17.0. Results: During a median follow-up of 6.54 years, 1 800 cases of social isolation occurred, with an incidence rate of 18.23%（17.47%~18.99%）. Multivariate Cox regression showed that edentulism was associated with an increased risk of social isolation (HR=1.21, 95% CI: 1.03-1.42) after adjusting for confounders. Subgroup analysis revealed population heterogeneity. Sensitivity analyses confirmed the stability of the results. Conclusion Edentulism is associated with an increased risk of social isolation in middle-aged and elderly adults.

Acute kidney injury（AKI）is a clinical syndrome characterized by a rapid decline in renal function. Treatment strategies for AKI primarily focus on treating the underlying disease，providing supportive care，and preventing complications. However，the prognosis remains poor due to the lack of targeted drug therapies.In recent years，with a deeper understanding of the pathophysiological mechanisms of AKI，numerous new drugs and therapeutic methods have emerged and are currently under evaluation. This review aims to thoroughly analyze the latest advancements in AKI drug therapy，covering the development of targeted drugs，innovative applications of nanomedicines，and new breakthroughs and expansions in the use of traditional drugs in the treatment of AKI，in order to provide new ideas and strategies for clinical treatment.

OBJECTIVE To analyze the ethanol extracts,total phenols,total flavonoids contents and HPLC fingerprints of typi-cal propolis samples from 6 foreign countries and 5 domestic regions,optimize the extraction process and evaluate the antioxidant activi-ty,so as to provide data support for improving the quality control system of propolis.METHODS The optimization of the propolis ex-traction process utilized flavonoid content as an indicator.Three flavonoid detection methods-namely,the aluminum trichloride meth-od,aluminum nitrate method,and polyamide method-were compared.The content of ethanol extract,total phenol content,and the scavenging ability of DPPH free radicals for each sample were determined.Further analysis was conducted using HPLC fingerprint pro-filing.RESULTS The propolis extract with the highest flavonoid content was obtained using 80%ethanol as the extraction solvent,operating at 50℃,with a stirring time of 3 h,ultrasonic power of 180 W,and ultrasonic time of 15 min.The aluminum trichloride method was proved to be the most effective for determining total flavonoids in propolis.While the ethanol extract,total flavonoids,and total phenols of propolis from Xinjiang,China were relatively low,their antioxidant activity exhibited superiority.HPLC analysis re-vealed,Brazilian red propolis lacked of chrysin,galangin,caffeic acid phenethyl ester and Brazilian green propolis lacked ferulic acid,apigenin,p-coumaric acid,chrysin,and pinocembrin.In contrast,the content of these four compounds in other samples varied,with the antioxidant capacity of the extracts not precisely corresponding to the compound content.CONCLUSION Propolis exhibits a complex chemical composition with significant variations among varieties.Key quality control indexes must be comprehensively consid-ered,encompassing physicochemical characteristics and biological activity.Establishing a multi-angle assessment system with a mate-rial basis-functional linkage is essential.This approach facilitates the realization of high quality and cost-effectiveness,thereby promo-ting the healthy development of the industry.

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Pristimerin, which is one of the compounds present in Celastraceae and Hippocrateaceae, has antitumor effects. However, its mechanism of action in esophageal squamous cell carcinoma (ESCC) remains unclear. This study aims to investigate the efficacy and mechanism of pristimerin on ESCC in vitro and in vivo. The inhibitory effect of pristimerin on cell growth was assessed using trypan blue exclusion and colony formation assays. Cell apoptosis was evaluated by flow cytometry. Gene and protein expressions were analyzed through quantitative reverse transcription-polymerase chain reaction (qRT-PCR), Western blotting, and immunohistochemistry. RNA sequencing (RNA-Seq) was employed to identify significantly differentially expressed genes (DEGs). Cell transfection and RNA interference assays were utilized to examine the role of key proteins in pristimerin?s effect. Xenograft models were established to evaluate the antitumor efficiency of pristimerin in vivo. Pristimerin inhibited cell growth and induced apoptosis in ESCC cells. Upregulation of Noxa was crucial for pristimerin-induced apoptosis. Pristimerin activated the Forkhead box O3a (FoxO3a) signaling pathway and triggered FoxO3a recruitment to the Noxa promoter, leading to Noxa transcription. Blocking FoxO3a reversed pristimerin-induced Noxa upregulation and cell apoptosis. Pristimerin treatment suppressed xenograft tumors in nude mice, but these effects were largely negated in Noxa-KO tumors. Furthermore, the chemosensitization effects of pristimerin in vitro and in vivo were mediated by Noxa. This study demonstrates that pristimerin exerts an antitumor effect on ESCC by inducing AKT/FoxO3a-mediated Noxa upregulation. These findings suggest that pristimerin may serve as a potent anticancer agent for ESCC treatment.
Forkhead Box Protein O3/genetics* ; Humans ; Apoptosis/drug effects* ; Esophageal Squamous Cell Carcinoma/physiopathology* ; Esophageal Neoplasms/physiopathology* ; Pentacyclic Triterpenes ; Animals ; Cell Line, Tumor ; Proto-Oncogene Proteins c-bcl-2/genetics* ; Mice ; Signal Transduction/drug effects* ; Mice, Nude ; Cell Proliferation/drug effects* ; Triterpenes/pharmacology* ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C ; Male ; Gene Expression Regulation, Neoplastic/drug effects*

Objective To establish and validate a risk model for predicting heart failure(HF)in patients with hypertension.Methods The clinical data of 1500 patients with hypertension in Department of Cardiology of Tianjin Union Medical Center from January 2019 to December 2021 were retrospectively collected.The dataset was randomly partitioned into a training set(n=1050)and a valida-tion set(n=450)at a ratio of 7∶3.Then,the patients of training set were segmented into heart failure group(n=144)or non-heart failure group(n=906).The univariate Logistic regression,least absolute shrinkage and selection operator(LASSO)regression model and multivariate Logistic regression analysis were used for screening the risk factors and developing model.The R software was used to con-struct a nomogram.The discrimination ability of the model was determined by the area under the receiver operating characteristic curve(AUC),the calibration degree was evaluated by the calibration plot and Hosmer-Lemeshow goodness-of-fit test.Decision curve analy-sis(DCA)was performed to assess the clinical utility.Results This study showed that age,coronary heart disease,uric acid(UA),red blood cell distribution width(RDW),blood urea nitrogen/albumin ratio(BAR)and neutrophil to lymphocyte ratio(NLR)are inde-pendent predictors of the development of HF in patients with hypertension.A predictive model was constructed using the above six predic-tive factors.In the training set,the model had an AUC value of 0.864(95％CI;0.831-0.896),Hosmer-Lemeshow goodness of fit test showedx2=10.29,P=0.25.In the validation set,the AUC value was 0.842(95％CI:0.794-0.891),Hosmer-Lemeshow goodness of fit test showedx2=10.48,P=0.23.The clinical decision analysis also showed that the nomogram model had a better clinical perform-ance and could bring net clinical benefits to the patients.Conclusion This study successfully constructs a predictive model for the risk of HF in adults with hypertension and it can effectively identify patients at high risk of HF and formulate targeted intervention measures,thereby providing a basis for performing early prevention and treatment and improving prognosis.

Coronary CT angiography(CCTA)plays an important role in study of coronary atherosclerotic plaques,which can be used to assess plaque composition and vulnerability,hence predicting major adverse cardiovascular events.Furthermore,CCTA combined with radiomics analysis is helpful for optimizing cardiovascular risk stratification.The research progresses in CCTA of coronary atherosclerotic plaques were reviewed in this article.

Objective: To screen the risk factors of cesarean scar diverticula ( CSD) after cesarean section and to construct a risk prediction model． Methods: 491 cases of mothers who underwent cesarean section were recruited as the study subjects，and the data from the database of negative ultrasound of mothers who returned to the hospital 12 months after operation were collected，and the dataset was randomly divided into the training set and the test group according to 7 ∶ 3 ; the variables were screened to obtain the risk factors of CSD and the risk prediction model was constructed by the use of least absolute shrinkage and selection operator (LASSO) ; the variables were screened using the LASSO to obtain the characteristic variables，and the characteristic variables were analyzed by multifacto- rial logistic regression analysis，and the nomogram prediction model was constructed by using the R software． Results: A total of 491 cases of sample data were included，including 344 cases in the training set and 147 cases in the test set ; feature variables were screened by LASSO，and ten－fold cross－validation was used．Five variables were finally screened : number of cesarean deliveries，number of years between two cesarean deliveries，24-hour hemorrhage，operation time and uterine position(P＜0. 05) ．The accuracy of the decision analysis curves for inter- nal evaluation and internal validation of the CSD risk prediction model constructed using it was high ; the AUC (95% CI) of the diagnostic model in the training set and the test set were 0. 75 (0. 71－0. 80) and 0. 79 (0. 71 - 0. 87) ，respectively． Conclusion The risk prediction model established using the LASSO cross-validation algo- rithm has good predictive value for the occurrence of postpartum scar diverticula，which deserves clinical attention．