Objective: To understand the hydration status and related factors of rural boarding primary school students, so as to provide a scientific basis for drinking water health intervention for primary school students. Methods: In November 2023, a convenience sampling approach was employed to conduct a hydration status survey among 144 boarding students in grades 5 and 6 of a rural primary school in Guangxi. The Duplicate meal method and weighing method were utilized to measure the food derived water intake over three consecutive days. Urine osmolarity of students was measured on site for three days, and a simple physical examination was also carried out. A self administered questionnaire was used to investigate students drinking water literacy, daily water intake, and physical activity levels. Meanwhile, a drinking water literacy survey was conducted among 21 substitute teachers and 144 parents of the boarding students in grades 5 and 6. Logistic regression was used to identify factors associated with students hydration status. Results: The median daily total water intake of students was 2 043.55 mL, and 54.86% of the students did not reach the recommended Adequate Intake (AI). The median food derived water intake was 1 149.24 mL, accounting for 53.94% of the total water intake. Univariate analysis revealed that the daily drinking frequency, daily water intake, and food derived water intake of students were related factors of hydration status ( β =-1.60, -1.01, -0.00, all P <0.05). Multivariate Logistic regression analysis showed that primary school students with a daily drinking frequency of ≥7 times were more likely to maintain an adequate hydration status ( OR =0.28, 95% CI =0.09-0.93, P ＜0.05). Conclusions The water intake from food is the main source of water in the body for boarding primary school students in a certain rural school in Guangxi. Primary school students should increase their water intake frequency appropriately to maintain an adequate hydration status.

ObjectiveTo investigate the effect of Danggui Shaoyaosan on ferroptosis in the rat model of non-alcoholic fatty liver disease （NAFLD） and explore the underlying mechanism based on the nuclear factor E₂-related factor 2 （Nrf2）/solute carrier family 7 member 11 （SLC7A11）/glutathione peroxidase 4 （GPX4） signaling pathway. MethodsThe sixty SD rats were randomly grouped as follows： control， model， Yishanfu （0.144 g·kg^-1）， and low-， medium-， and high-dose （2.44， 4.88， and 9.76 g·kg^-1， respectively） Danggui Shaoyaosan. A high-fat diet was used to establish the rat model of NAFLD. After 12 weeks of modeling， rats were treated with corresponding agents for 4 weeks. Then， the body weight and liver weight were measured， and the liver index was calculated. At the same time， serum and liver samples were collected. The levels or activities of total cholesterol （TC）， triglycerides （TG）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and Fe²⁺ in the serum and TC， TG， free fatty acids （FFA）， malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidase （GPX）， and Fe²⁺ in the liver were measured. Hematoxylin-eosin staining and oil red O staining were employed to observe the pathological changes in the liver. Immunofluorescence was used to assess the reactive oxygen species （ROS） content in the liver. Mitochondrial morphology was observed by transmission electron microscopy. The protein levels of Nrf2， SLC7A11， GPX4， transferrin receptor 1 （TFR1）， and divalent metal transporter 1 （DMT1） in the liver were determined by Western blot. ResultsCompared with the control group， the model group showed increases in the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， and decreases in the activities of SOD， GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.05， P<0.01）. Meanwhile， the liver tissue in the model group presented steatosis， iron deposition， mitochondrial shrinkage， and blurred or swollen mitochondrial cristae. Compared with the model group， all doses of Danggui Shaoyaosan reduced the body weight， liver weight， liver index， levels or activities of TC， TG， ALT， AST， and Fe²⁺ in the serum， levels of TC， TG， FFA， MDA， Fe²⁺， and ROS in the liver， and protein levels of TFR1 and DMT1 in the liver （P<0.01）， while increasing the activities of SOD and GPX and the protein levels of Nrf2， SLC7A11， and GPX4 in the liver （P<0.01）. Furthermore， Danggui Shaoyaosan alleviated steatosis， iron deposition， and mitochondrial damage in the liver. ConclusionDanggui Shaoyaosan may inhibit lipid peroxidation and ferroptosis by activating the Nrf2/SLC7A11/GPX4 signaling pathway to treat NAFLD.

Objective: To investigate the current status of knowledge, attitudes and practices regarding drinking water among primary school students in rural areas of China, so as to provide scientific basis for implementing health interventions related to drinking water. Methods: From November to December 2023, a stratified cluster random sampling method was employed to select 6 354 fourth to sixth grade primary school students in Shanxi, Zhejiang, Jiangxi, Guangxi and Gansu for a questionnaire survey. A uniformly designed questionnaire (including basic information, drinking water-related knowledge, attitudes and practices indicators) was distributed and completed by the students themselves. The χ 2 test was used to analyze the differences in drinking water-related indicators among students of different gender and boarder, and Logistic regression was used to analyze the influencing factors of drinking water practices among students. Results: Among the indicators of drinking water knowledge, the awareness rate of appropriate daily water intake for respective student age groups was the lowest (27.90%). The awareness rate among nonresident students was significantly higher than that among boarding students (31.29%, 15.49%, χ 2=132.75, P <0.01). Regarding attitudes toward drinking water, 13.33% of the students believed that well water or tap water could be drunk directly, and 9.58% believed that going to the toilet at school was troublesome. Regarding practices, the self-reported water intake among students was 1 000 (600, 1 200) mL. The results of multifactorial Logistic regression showed that higher grades ( OR=1.60, 95%CI =1.34-1.92), nonresident students ( OR=1.32, 95%CI = 1.15 -1.52), northern region ( OR=1.43, 95%CI =1.27-1.61), knowledge of appropriate daily water intake ( OR=1.41, 95%CI =1.24-1.60), drinking temperature ( OR=1.43, 95%CI =1.28-1.60), scientific hydration methods ( OR=1.25, 95%CI =1.08- 1.44 ), and adopting scientific hydration methods regularly ( OR=1.75, 95%CI =1.50-2.04) were the independent influences on daily water intake attainment ( P <0.05). Conclusions Rural primary school students lack knowledge about healthy drinking water, have cognitive biases about safe drinking water and exhibit unhealthy drinking behavior. It is suggested that health education be carried out in combination with the characteristics of students to enhance their drinking water literacy.

OBJECTIVE To explore the correlation between phosphatidylinositol-3-kinase alpha(PIK3CA)gene mutation and the clinicopathological characteristics of Epstein-Barr virus(EBV)infection in patients with gastric cancer.METHODS Cancer tissue samples were collected from 593 patients with gastric cancer who under-went surgery at the Affiliated Hospital of Hebei University between Sep.2021 and Sep.2024.EBV infection in pa-tients with gastric cancer was detected by EBV-encoded RNA(EBER)in situ hybridization.Based on the detec-tion results,patients were divided into an EBV-positive group(n=31)and an EBV-negative group(n=562).The incidence of EBV-infected gastric cancer was compared among patients of different genders and ages.The relationship between EBV infection and PIK 3CA gene mutation,as well as clinicopathological character-istics of patients with gastric cancer,was analyzed.Spearman's correlation analysis was used to assess the correla-tion between PIK3CA gene mutation and EBV infection in patients with gastric cancer.RESULTS Among the 593 gastric cancer cases,31 were EBER-positive,with a positive rate of 5.23％.EBER showed scattered dot scope or diffuse staining,appearing as a dark brown signal localized in the nucleus.The PIK3CA gene mutation rate was higher in the EBV-positive group(32.26％)than in the EBV-negative group(P＜0.001).PIK3CA gene muta-tions mainly occurred in exons 9 and 20,with 2 cases of p.E542K mutation,5 cases of p.E545K mutation,1 case of pH1047L mutation,no cases of p.H1047R mutation were detected.The proportion of patients with tumors at the esophagogastric junction,T3-T4 invasion depth,and lymph node metastasis was higher in the EBV-positive group than in the EBV-negative group(P＜0.05).There was a positive correlation between PIK 3CA gene muta-tion and EBV infection in patients with gastric cancer(r=0.742,P=0.026).The proportion of EBV infection was higher in male patients with gastric cancer(6.49％)than in females(P＜0.001).CONCLUSIONS The inci-dence of EBV-infected gastric cancer is low,but it is closely related to PIK3CA gene mutation,gender,tumor lo-cation,invasion depth and lymph node metastasis in patients with gastric cancer.

ObjectiveTo investigate the association of SH2B1 rs7359397 （C>T） polymorphism with the progression to hepatic fibrosis in the elderly patients with metabolic dysfunction-associated steatotic liver disease （MASLD） in Beijing， China， and to provide an important genetic basis for the precise subtyping， prognostic evaluation， and individualized treatment of elderly MASLD patients in China. MethodsA total of 505 elderly patients （aged ≥65 years） who participated in regular physical examination in Mentougou Kuangshan Hospital of Beijing Jingmei Group General Hospital from November 2020 to September 2021 and were diagnosed with MASLD by abdominal ultrasound were enrolled as MASLD group， and 381 elderly population who underwent physical examination in the same community hospital during the same period of time and were not found to have MASLD by abdominal ultrasound were enrolled as control group. FibroScan was used to measure liver fat content and determine fibrosis stage. The 96-well microfluidic chip technique was used to identify SH2B1 rs7359397 polymorphism. The independent-samples t test was used for comparison of normally distributed continuous data between the two groups， and the chi-square test or the adjusted chi-square test was used for comparison of categorical data between the two groups. Univariate and multivariate Logistic regression analyses were used to identify the independent predictive factors for MASLD and its comorbidities. ResultsCompared with the control group， the MASLD group had a significantly younger age and significantly higher levels of waist circumference， hip circumference， waist-hip ratio， body mass index （BMI）， alanine aminotransferase， aspartate aminotransferase， triglyceride， platelet count， and fibrosis-4 （FIB-4） index， as well as a significantly lower level of high-density lipoprotein cholesterol （all P<0.05）. Among the 381 patients in the control group， 264 （69.29%） had genotype CC and 117 （30.71%） had genotype CT+TT， while among the 505 patients in the MASLD group， 317 （62.77%） had genotype CC and 188 （37.23%） had genotype CT+TT， suggesting that the MASLD group had a significantly higher proportion of patients with genotype CT+TT compared with the control group （χ²=4.09， P=0.043）. In the MASLD group， compared with the genotype CC group， the genotype CT+TT group had a significantly lower proportion of patients with FIB-4 ≥2 or atherosclerotic cardiovascular diseases （P<0.05）. The multivariate Logistic regression analysis showed that after adjustment for age， sex， and BMI， carrying T allele was a protective factor against progressive hepatic fibrosis （odds ratio ［OR］=0.481， 95% confidence interval ［CI］： 0.249 — 0.929， P=0.029）. In the subgroups of comorbidities with hypertension， metabolic syndrome， and obesity， genotype CT+TT was associated with a significant reduction in the risk of progressive hepatic fibrosis （hypertension： OR=0.27， 95%CI：0.09 — 0.77， P=0.014； metabolic syndrome： OR=0.30， 95%CI： 0.11 — 0.79， P=0.015； obesity： OR=0.11， 95%CI： 0.03 — 0.48， P=0.003）. After adjustment for age， sex， and BMI， in the patients with MASLD， the patients with genotype CT+TT had a significant reduction in the prevalence rate of atherosclerotic cardiovascular diseases compared with those with genotype CC （OR=0.506， 95%CI：0.336 — 0.761， P=0.001）. ConclusionSH2B1 rs7359397 （C>T） polymorphism is associated with the reduction in the risk of hepatic fibrosis and atherosclerotic cardiovascular diseases in MASLD patients.

Objective:To discuss the infection status and clinical outcomes in the patients with bullous pemphigoid(BP),and to analyze the risk factors for infection in hospitalized BP patients,as well as to construct and evaluate the risk prediction model.Methods:A total of 126 patients first diagnosed with BP were selected.According to the occurrence of infection,the patients were divided into infection group(52 cases)and non-infection group(74 cases).The infection status and outcomes of the patients in two groups were recorded;statistical analysis was performed on the general data,laboratory examination results,FRAIL scale scores for frailty screening,NRS2002 scores,and skin lesion severity of the patients in two groups;multivariate Logistic regression model was used to identify the risk factors for infection in the patients;the goodness-of-fit test was used to evaluate the model;receiver operating characteristic(ROC)curve was used to evaluate the predictive value of the model for infection.Results:Among the 126 hospitalized BP patients,52 cases had infection,with an infection rate of 41.27％.The mortality rate of the patients in infection group was higher than that in non-infection group(P＜0.05),and the remission rate of the patients in non-infection group was higher than that in infection group(P＜0.05).The FRAIL scale score for frailty screening,NRS2002 score,serum albumin level,prealbumin level,number of hospitalization,skin lesion severity,and time of hospital stay of the patients in infection group were significantly higher than those in non-infection group(P＜0.05).The multivariate Logistic regression analysis results derived the regression equation:Logistic(P)=-7.63+0.922× skin lesion severity+2.565×FRAIL scale score for frailty screening+1.214×NRS2002 score.The area under the curve of the Logistic regression model was 0.916.Conclusion:The FRAIL scale score for frailty screening,NRS2002 score,and skin lesion severity are the risk factors for infection in the hospitalized BP patients.The constructed infection risk prediction model based on these factors has good predictive value and may provide new ideas for the prevention and control of infection in the hospitalized BP patients.

Objective:To investigate the effect of applying the analog of miR-145(agomiR-145)to target a disintegrin and metallopro-tease 17(ADAM17)on the growth of triple-negative breast cancer(TNBC)xenograft tumors in nude mice and the underlying mecha-nism.Methods:A subcutaneous xenograft tumor model was established in nude mice with MDA-MB-231 cells(n=30).The 30 nude mice were randomly divided into agomiR group,agomiR-NC group,and control group to receive intratumoral injection of 100 μL of agomiR-145(0.33 g/L),agomiR-NC(0.33 g/L),and normal saline,respectively.We examined tumor tissue morphology with HE stain-ing;measured the expression of miR-145,ADAM17,and epidermal growth factor receptor(EGFR)in tumor tissues by real-time poly-merase chain reaction(RT-PCR);and determined the protein expression of ADAM17,EGFR,and p-EGFR in tumor tissues by immu-nohistochemistry and Western blot.Results:The tumor growth in the agomiR group was slow,with a significantly smaller tumor volume than those in the control group and the agomiR-NC group(P<0.05).The results of HE staining showed more severe necrosis and hem-orrhage within tumor tissues in the control group and the agomiR-NC group than in the agomiR group.RT-PCR results showed that the expression level of miR-145 in the agomiR group was significantly higher than those in the agomiR-NC and control groups(P<0.001);the agomiR group had a significantly lower mRNA expression level of ADAM17 than the other two groups(P<0.05);and there was no significant difference in EGFR mRNA expression between the three groups(P>0.05).Immunohistochemistry and Western blot detected significantly lower protein expression levels of ADAM17 and EGFR in the agomiR group than in the agomiR-NC group and the control group(P<0.05).Conclusion:AgomiR-145 inhibits the growth of TNBC xenografts in nude mice by targeted suppression of ADAM17-EGFR activity.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.

OBJECTIVE To explore the correlation between phosphatidylinositol-3-kinase alpha(PIK3CA)gene mutation and the clinicopathological characteristics of Epstein-Barr virus(EBV)infection in patients with gastric cancer.METHODS Cancer tissue samples were collected from 593 patients with gastric cancer who under-went surgery at the Affiliated Hospital of Hebei University between Sep.2021 and Sep.2024.EBV infection in pa-tients with gastric cancer was detected by EBV-encoded RNA(EBER)in situ hybridization.Based on the detec-tion results,patients were divided into an EBV-positive group(n=31)and an EBV-negative group(n=562).The incidence of EBV-infected gastric cancer was compared among patients of different genders and ages.The relationship between EBV infection and PIK 3CA gene mutation,as well as clinicopathological character-istics of patients with gastric cancer,was analyzed.Spearman's correlation analysis was used to assess the correla-tion between PIK3CA gene mutation and EBV infection in patients with gastric cancer.RESULTS Among the 593 gastric cancer cases,31 were EBER-positive,with a positive rate of 5.23％.EBER showed scattered dot scope or diffuse staining,appearing as a dark brown signal localized in the nucleus.The PIK3CA gene mutation rate was higher in the EBV-positive group(32.26％)than in the EBV-negative group(P＜0.001).PIK3CA gene muta-tions mainly occurred in exons 9 and 20,with 2 cases of p.E542K mutation,5 cases of p.E545K mutation,1 case of pH1047L mutation,no cases of p.H1047R mutation were detected.The proportion of patients with tumors at the esophagogastric junction,T3-T4 invasion depth,and lymph node metastasis was higher in the EBV-positive group than in the EBV-negative group(P＜0.05).There was a positive correlation between PIK 3CA gene muta-tion and EBV infection in patients with gastric cancer(r=0.742,P=0.026).The proportion of EBV infection was higher in male patients with gastric cancer(6.49％)than in females(P＜0.001).CONCLUSIONS The inci-dence of EBV-infected gastric cancer is low,but it is closely related to PIK3CA gene mutation,gender,tumor lo-cation,invasion depth and lymph node metastasis in patients with gastric cancer.

Objective:This study aimed to construct a prediction model for diagnosis of proliferative lupus nephritis based on a machine learning algorithm. Additionally, a user-friendly platform was developed to propose a non-invasive method to assist the pathologic classification of lupus nephritis.Methods:A retrospective analysis was conducted on clinical and pathological data of lupus nephritis patients confirmed by renal biopsy at Zhengzhou University People′s Hospital from January 2017 to August 2023. The study population was randomly divided into training and testing sets in a 7∶3 ratio. Utilizing six machine learning algorithms, classification models were developed. The predictive performance of each model was assessed using metrics such as accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). The optimal model, once identified, was deployed as a web-based calculator for convenient model application. SPSS 25.0 and R 4.2.2 were used to analyze the data.Results:The study included a total of 212 patients, with 138 cases with proliferative lupus nephritis and 74 cases with non-proliferative lupus nephritis. The AUC values for the six models, namely logistic regression, decision tree, random forest, support vector machine, extreme gradient boosting, and light gradient boosting machine, were 0.79, 0.62, 0.79, 0.88, 0.81, and 0.77, respectively; the accuracy rates were 82.54%, 65.08%, 74.60%, 85.71%, 69.84%, 71.43%, respectively. Among them, the support vector machine model demonstrated the optimal performance. This model had deployed as a web-based calculator. Based on feature importance scores, the top 10 influencing factors were identified, including anti URNP antibody, immunoglobulin G, serum globulin, estimated glomerular filtration rate, anti Smith antibody, BMI index, anti dsDNA antibody, uric acid, anti-Rib.p antibody, and gender.Conclusion:A prediction model based on machine learning algorithms was successfully established, and a web calculator was developed to offer a simple and non-invasive method for diagnosing proliferative lupus nephritis. This can assist clinicians in evaluating the risk-benefit ratio of kidney biopsy in patients with lupus nephritis.