Background Psychological disturbances such as work-family conflict and depressive mood are prevalent among occupational groups and are closely related to eating behavior. Therefore, investigating the influencing factors of eating behavior is of great significance for promoting the health behaviors of occupational populations. Objective To clarify the current situation of eating behavior among the occupational populations aged 18 to 60 years in China, and to explore the relationship between work-family conflict, depressive mood, and eating behavior, and to test the mediating role of depressive mood in the relationship. Methods The study used a data set containing occupational populations aged 18 to 60 years extracted from the 2021 Psychology and Behavior Investigation of Chinese Residents. The Work-Family Conflict Scale, the Chinese version of the Sakata Eating Behavior Scale Short Form, and the Patient Health Questionnaire-Depression Scale were used. Potential influencing factors of eating behavior of the occupational populations were evaluated by multiple linear regression. Structural equation modeling was used to analyze the relationships between work-family conflict, depressive mood, and eating behavior, and the Bootstrap method was used to test the mediating effect of depressive mood on the relationship of work-family conflict and eating behavior. Results Among the occupational populations, the proportion of reporting high work-family conflict was 48.4%, and the proportion of reporting mild depression and above was 48.7%. The total score of eating behavior was (16.16±4.64), and the proportion of high abnormal eating behavior tendency was 39.1%. There were significant differences in eating behavior score among different age, educational level, marital status, number of offspring, occupation, smoking, and drinking groups (P<0.05). The partial correlation analysis showed that work-family conflict and depressive mood were positively correlated with abnormal eating behavior (r=0.367, 0.386, P<0.001); work-family conflict was positively correlated with depressive mood (r=0.466, P<0.001). The results of the multiple linear regression showed that depressive mood, work-family conflict, age, smoking, drinking, and education level were associated with eating behavior (P<0.05). The structural equation modeling indicated that work-family conflict positively associated with depressive mood (b=0.529, P<0.001), depressive mood positively associated with abnormal eating behavior (b=0.292, P<0.001), and work-family conflict positively associated with abnormal eating behavior (b=0.270, P<0.001). Depressive mood played a partial mediating role in the relationship between work-family conflict and eating behavior, and the effect value was 0.154 (95%CI: 0.132, 0.179) that accounted for 36.32% of the total effect. Conclusion Work-family conflict could directly affect the eating behavior among occupational populations, and also indirectly affect eating behavior through a mediating effect of depressive mood. Therefore, optimizing the allocation of tasks between work and family, providing psychological support in need, alleviating work-family conflict and depressive mood may improve the eating behavior and mental health of working populations.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Objective To investigate the relationship between serum phenylacetylglutamine(PAGln),short-chain fatty acids(SCFAs)levels and ventricular remodeling and prognosis in patients with chronic heart failure(CHF).Methods A total of 267 CHF patients treated at Jiulongpo District People's Hospital of Chongqing from January 2019 to December 2022 were selected as the CHF group,and 100 healthy individuals underwent physical examination during the same period were selected as the control group.CHF patients were further divided into a poor prognosis group(n=63)and a good prognosis group(n=204)based on 1-year outcomes.Serum levels of PAGln and SCFAs(acetic acid,propionic acid,butyric acid)were measured using liquid chromatography-tandem mass spectrometry.Echocardiography was used to assess ventricular remode-ling indicators including left ventricular mass index(LVMI),interventricular septal thickness in diastole(IVST),left ventricular posterior wall thickness(LVPWT),and left ventricular end-diastolic diameter(LVEDD).Pearson correlation was used to analyze the associations between serum PAGln,SCFAs levels and LVMI,IVST,LVPWT,LVEDD.Multivariate logistic regression was used to identify risk factors for poor prognosis in CHF patients,and receiver operating characteristic(ROC)curves were used to assess the predic-tive value of PAGln and SCFAs levels.Results Serum PAGln levels were significantly higher in the CHF group than in the control group,while acetic acid,propionic acid,and butyric acid levels were significantly low-er(P＜0.05).LVMI,IVST,LVPWT,and LVEDD were significantly elevated in the CHF group compared to the control group(P＜0.05).Serum PAGln levels were positively correlated with LVMI,IVST,LVPWT,and LVEDD(P＜0.05),while SCFAs levels were negatively correlated with these parameters(P＜0.05).Univa-riate analysis showed that age,duration of CHF,NYHA functional classification,atrial fibrillation,LVEF,NT-proBNP,PAGln,acetic acid,propionic acid,and butyric acid were associated with poor prognosis(P＜0.05).Multivariate analysis identified NYHA class Ⅲ-Ⅳ,atrial fibrillation,elevated NT-proBNP,and elevated PA-Gln as independent risk factors for poor prognosis,while higher LVEF and increased levels of acetic acid,pro-pionic acid,and butyric acid were independent protective factors(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)for the combined prediction using PAGln and SCFAs was 0.881,which was greater than that for PAGln(0.800)or SCFAs(0.789)alone(P＜0.05).Conclusion Elevated serum PAGln and decreased SCFAs levels are closely associated with ventricular remodeling and poor prognosis in CHF pa-tients.The combination of serum PAGln and SCFAs levels has a high predictive value for poor prognosis in CHF.

Empathy is a cornerstone in cultivating medical ethics.This article delves into the profound significance of empathy and underscores the importance of promoting it among medical students and practitioners.It also details methods for strengthening empathy and capacity building concerned in students through oral medicine instruction,with the goal of nurturing oral healthcare professionals who provide compassionate care.

Objective To evaluate the application of modified chairside case-based learning(CBL)in the teaching of dental residents in the prosthodontic clinic.Methods Dental residents in Peking Union Medical College Hospital from September 2022 to September 2024 were enrolled.Traditional CBL was conducted in control group.Modified chairside CBL was conducted in test group.The scores of department rotation examination and questionnaire results were analyzed with t-test statistical analysis.Results The score of"patient reception"in test group was significantly higher than control group(P＜0.05).24 valid questionnaires were collected in two groups each.The rate of approval in test group was significantly higher than control group in the following items of questionnaire,including"reduce learning pressure or burden""improve the capacity of doctor-patient communication""improve the capacity of literature review""improve the capacity of group cooperation"(P＜0.05).Conclusions Modified chairside CBL has showed good teaching effects in improving the capacity of patient reception,doctor-patient communication,literature review,group cooperation,and meanwhile reduced learning pressure or burden.

Objective To explore the need and evaluate the effectiveness for head-simulator in the teaching of sto-matology within the eight-year program of clinical medicine.Methods Questionnaire survey was conducted among the students from 2017 cohort of the eight-year program of clinical medicine at Peking Union Medical College.The survey results were statistically analyzed and described.Results Totally 87.9％of the students believed that incor-porating head-simulator into the clinical practice course of stomatology were necessary,and 93.9％expressed will-ingness to join the training.Most students preferred to practice peri-odontal scaling and cavity preparation for caries during the simulated training sessions.The majority of students considered two or four class hours of simulated head teaching to be reasonable.The pilot head simulation training was successfully implemented;75.0％of the students acknowledged clear teaching and convincible demonstrations.All the trainees agreed that the head simulation course helped them better understand stomatology knowledge,stimulated their interest in learning and expressed a desire for increased head simulation sessions during clinical practice course of stomatology.Additionally,87.5％of the students preferred head simulation training course to be applied in classic clinical clerkships.Conclusions There is strong demand among students of eight-year program of clinical medicine for incorporating head-simulator into the education of stomatology.The pilot simulation training received positive evaluations.Further exploration is needed to optimize specific scheduling and content arrangement.

Objective To evaluate the high-risk factors for venous thromboembolism(venous throm-boembolism,VTE)during the perioperative period in gynecology and analyze the rationality of anticoagulant drug use.Methods Clinical data of 183 gynecological surgical patients treated at Kunming Maternal and Child Health Hospital from January 2023 to December 2024 were collected.Among them,29 diagnosed with postoperative VTE were classified as the VTE group and 154 diagnosed with no postoperative VTE during the same period were classified as the non-thrombosis group.Independent sample t-test,Mann-Whitney U test,or χ2 test were used to analyze high-risk factors for VTE during the perioperative period.Logistic regression analysis was employed to identify risk factors for VTE after the gynecological surgery and a predictive regression model was established.The ROC curve was plotted to evaluate the model's validity.Results Elevated D-dimer levels,open abdominal surgery,and history of thrombosis were independent risk factors for VTE in postoperative gynecological patients(OR>1,P<0.05).The AUC of the regression-based predictive model was higher than that of the Caprini and G-Caprini scores,indicating that this model had the good discriminatory ability its resolution was better than G-Caprini and Caprini risk assessment tools.The identified issues in VTE prophylaxis at the hospital included the insufficient mechanical prevention time limit and delayed initiation of anticoagulant therapy in patients at moderate risk of bleeding.Conclusion This predictive model has certain clinical value for broader application.For issues related to drug therapy such as delayed use of anticoagulant drugs,clinical pharmacists should collaborate with physicians to assess patients'bleeding and thrombosis risks,jointly develop precise anticoagulation regimens.

BACKGROUND:Hyperhomocysteinemia is closely related to the function of islet β cells,but its specific molecular mechanism is not fully understood. OBJECTIVE:To investigate the role of N6 methyltransferase-like 3(METTL3)in homocysteine(Hcy)-induced autophagy of mouse islet β cells. METHODS:The 3rd and 4th generation mouse islet β cells were taken for the experiment.(1)Cell modeling and grouping:cells in control group were not treated with Hcy,while those in homocysteine group were treated with 100 μmol/L Hcy for 48 hours.(2)The mouse islet β-cells were transfected with the plasmids overexpressing Ad-METTL3 and si-METTL3 according to the instructions of LipofectamineTM 2000.Three different interfering fragments were designed,and the one with the best interfering efficiency was verified and screened by PCR.(3)After transfection,the cells were divided into control group,Hcy group,Ad-NC(negative control)+Hcy group,Ad-METTL3+Hcy group,si-NC(negative control)+Hcy group and si-METTL3+Hcy group.(4)qRT-PCR and western blot were used to detect the expression levels of METTL3 and autophagy-related proteins LC3Ⅱ/Ⅰ and p62 in cells.Insulin level was determined by ELISA to evaluate insulin secretion capacity of islet cells.Autophagy-related proteins and insulin level were detected after overexpression and interference with METTL3. RESULTS AND CONCLUSION:Compared with the control group,the expression level of LC3Ⅱ/Ⅰ was increased(P＜0.05),the expression of p62 was significantly reduced(P＜0.05),and the insulin secretion capacity was significantly decreased(P＜0.05)in the Hcy group.Compared with the control group,the protein and mRNA levels of METTL3 were reduced in the Hcy group(P＜0.05).After METTL3 silencing in islet β cells,Hcy further upregulated the expression of LC3Ⅱ/Ⅰ(P＜0.05),significantly dowregulated the expression of p62(P＜0.05),and increased the insulin level(P＜0.05).After overexpression of METTL3,Hcy significantly decreased the LC3Ⅱ/Ⅰ expression and increased the p62 expression in islet β cells(P＜0.05).To conclude,METTL3 is involved in the Hcy-induced autophagy regulation of islet β cells and plays a role in the regulation of insulin secretion.

Objective:To explore the clinical phenotype and genetic etiology for a Chinese pedigree affected with Autosomal dominant polycystic kidney disease (ADPKD).Methods:A pedigree with ADPKD diagnosed at the Department of Gynaecology of the First Affiliated Hospital of Zhengzhou University in December 2020 was selected as the study subject. Clinical data of the pedigree was collected, and whole exome sequencing (WES) was carried out for the proband. Candidate variants were verified by Sanger sequencing of the proband and her relatives. This study was approved by the First Affiliated Hospital of Zhengzhou University (Ethics No. KS-2018-KY-36).Results:Fetal ultrasonography showed increased volume and parenchymal echogenicity in both kidneys. The fetus was found to harbor c. 11098C>T (p.R3700C) and c.11039T>C (p.F3680S) compound heterozygous variants of the PKD1 gene, which were respectively inherited from its mother and father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were predicted to be likely pathogenic (PM1+ PM2_Supporting+ PP3). Conclusion:The c. 11098C>T (p.R3700C) and c. 11039T>C (p.F3680S) compound heterozygous variants of the PKD1 gene probably underlay the ADPKD in the fetus. Above finding has provided guidance for the genetic counseling and prenatal diagnosis for this pedigree.

Metastasis-associated lung adenocarcinoma transcript 1 ( MALAT1) is a well-established oncogenic long non-coding RNA, the higher expression of which is strongly correlated with cancer events such as tumorigenesis, progression, metastasis, drug resistance, and treatment outcome in solid cancers. Recently, a series of studies has highlighted its potential role in hematological malignancies in terms of these events. Similar to solid cancers, MALAT1 can regulate various target genes via sponging and epigenetic mechanisms, but the miRNAs sponged by MALAT1 differ from those identified in solid cancers. In this review, we systematically describe the role and underlying mechanisms of MALAT1 in multiple types of hematological malignancies, including regulation of cell proliferation, metastasis, stress response, and glycolysis. Clinically, MALAT1 expression is related to poor treatment outcome and drug resistance, therefore exhibiting potential prognostic value in multiple myeloma, lymphoma, and leukemia. Finally, we discuss the evaluation of MALAT1 as a novel therapeutic target against cancer in preclinical studies.